diff --git "a/FP16/unet_bs1.xml" "b/FP16/unet_bs1.xml"
--- "a/FP16/unet_bs1.xml"
+++ "b/FP16/unet_bs1.xml"
@@ -1,13 +1,10 @@
 <?xml version="1.0"?>
-<net name="torch_jit" version="11">
+<net name="Model3" version="11">
 	<layers>
-		<layer id="2" name="latent_model_input" type="Parameter" version="opset1">
+		<layer id="2" name="sample" type="Parameter" version="opset1">
 			<data shape="1,4,64,64" element_type="f32" />
-			<rt_info>
-				<attribute name="old_api_map_element_type" version="0" value="f16" />
-			</rt_info>
 			<output>
-				<port id="0" precision="FP32" names="latent_model_input">
+				<port id="0" precision="FP32" names="sample">
 					<dim>1</dim>
 					<dim>4</dim>
 					<dim>64</dim>
@@ -15,22 +12,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1" name="t" type="Parameter" version="opset1">
-			<data shape="1" element_type="f32" />
-			<rt_info>
-				<attribute name="old_api_map_element_type" version="0" value="f16" />
-			</rt_info>
+		<layer id="1" name="timestep" type="Parameter" version="opset1">
+			<data shape="1" element_type="i64" />
 			<output>
-				<port id="0" precision="FP32" names="t">
+				<port id="0" precision="I64" names="timestep">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
 		<layer id="0" name="encoder_hidden_states" type="Parameter" version="opset1">
 			<data shape="1,77,768" element_type="f32" />
-			<rt_info>
-				<attribute name="old_api_map_element_type" version="0" value="f16" />
-			</rt_info>
 			<output>
 				<port id="0" precision="FP32" names="encoder_hidden_states">
 					<dim>1</dim>
@@ -39,587 +30,231 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3" name="Constant_75260_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="0" size="640" />
+		<layer id="3" name="self.conv_in.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 4, 3, 3" offset="0" size="23040" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>320</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4" name="Constant_75260" type="Convert" version="opset1">
+		<layer id="4" name="self.conv_in.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>320</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>320</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5" name="Constant_75259_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="640" size="5120" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>2560</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6" name="Constant_75259" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>2560</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>2560</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="7" name="Constant_75256_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="5760" size="640" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="1" precision="FP32" names="self.conv_in.weight">
 					<dim>320</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="8" name="Constant_75256" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="5" name="__module.conv_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>320</dim>
+					<dim>4</dim>
+					<dim>64</dim>
+					<dim>64</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>320</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="9" name="Constant_75252_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="6400" size="640" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>320</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="10" name="Constant_75252" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>320</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="11" name="Constant_75241_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="7040" size="640" />
+		<layer id="6" name="__module.conv_in/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="23040" size="640" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>320</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="12" name="Constant_75241" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>320</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
 					<dim>1</dim>
 					<dim>320</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="13" name="Constant_75240_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="7680" size="5120" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>2560</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="14" name="Constant_75240" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>2560</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>2560</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="15" name="Constant_75237_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="12800" size="640" />
-			<output>
-				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
-					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="16" name="Constant_75237" type="Convert" version="opset1">
+		<layer id="7" name="__module.conv_in/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>320</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>320</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="17" name="Constant_75233_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="13440" size="640" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
 					<dim>1</dim>
 					<dim>320</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="18" name="Constant_75233" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
-					<dim>320</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
 					<dim>1</dim>
 					<dim>320</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="19" name="Constant_75222_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="14080" size="640" />
-			<output>
-				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
-					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="20" name="Constant_75222" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="8" name="__module.conv_in/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
 					<dim>1</dim>
 					<dim>320</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="21" name="Constant_75221_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="14720" size="5120" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>2560</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="22" name="Constant_75221" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
-					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>2560</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="23" name="Constant_75218_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="19840" size="640" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="118,input.7">
 					<dim>1</dim>
 					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="24" name="Constant_75218" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="9" name="__module.down_blocks.0.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="precise" version="0" />
 			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>320</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>320</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="25" name="Constant_75214_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="20480" size="640" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>320</dim>
+				<port id="0" precision="I32">
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="26" name="Constant_75214" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="10" name="__module.down_blocks.0.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>320</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
 				</port>
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-		</layer>
-		<layer id="27" name="Constant_75203_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="21120" size="1280" />
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-					<dim>1</dim>
-					<dim>640</dim>
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-		</layer>
-		<layer id="28" name="Constant_75203" type="Convert" version="opset1">
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-			<rt_info>
-				<attribute name="decompression" version="0" />
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-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>640</dim>
+				<port id="1" precision="I32">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP32">
 					<dim>1</dim>
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+					<dim>32</dim>
+					<dim>40960</dim>
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-		<layer id="29" name="Constant_75202_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 5120" offset="22400" size="10240" />
+		<layer id="11" name="__module.down_blocks.0.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
+				<port id="0" precision="I32">
 					<dim>1</dim>
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-		<layer id="30" name="Constant_75202" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="12" name="__module.down_blocks.0.resnets.0.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
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-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>640</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
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-			<rt_info>
-				<attribute name="decompression" version="0" />
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-			<input>
-				<port id="0" precision="FP16">
+				<port id="1" precision="I32">
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-				<port id="0" precision="FP16">
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+				<port id="2" precision="FP32">
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+					<dim>32</dim>
+					<dim>40960</dim>
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 			</output>
 		</layer>
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-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
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@@ -2017,8 +301,8 @@
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+		<layer id="18" name="Constant_190153_compressed" type="Const" version="opset1">
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@@ -2028,7 +312,7 @@
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 			</output>
 		</layer>
-		<layer id="135" name="Reshape_796" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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@@ -2050,7 +334,7 @@
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 		</layer>
-		<layer id="136" name="/conv_in/Conv" type="Add" version="opset1">
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@@ -2067,7 +351,7 @@
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+				<port id="2" precision="FP32" names="156,input.9">
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 					<dim>320</dim>
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@@ -2075,16 +359,7 @@
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-			<data special_zero="true" />
+		<layer id="21" name="__module.conv_act/aten::silu/Swish" type="Swish" version="opset4">
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@@ -2092,76 +367,9 @@
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 					<dim>64</dim>
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+				<port id="1" precision="FP32" names="157,hidden_states.1">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -2169,41 +377,41 @@
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+			<data element_type="f16" shape="320, 320, 3, 3" offset="24976" size="1843200" />
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 		</layer>
-		<layer id="144" name="Constant_74925" type="Convert" version="opset1">
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+					<dim>320</dim>
+					<dim>3</dim>
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 			<output>
-				<port id="1" precision="FP32">
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+				<port id="1" precision="FP32" names="self.down_blocks.0.resnets.0.conv1.weight">
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+					<dim>320</dim>
+					<dim>3</dim>
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 			</output>
 		</layer>
-		<layer id="145" name="/down_blocks.0/resnets.0/norm1/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="24" name="__module.down_blocks.0.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
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@@ -2212,14 +420,14 @@
 					<dim>64</dim>
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 				<port id="1" precision="FP32">
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 					<dim>320</dim>
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-					<dim>1</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -2227,8 +435,8 @@
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 		</layer>
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-			<data element_type="f16" shape="1, 320, 1, 1" offset="298912" size="640" />
+		<layer id="25" name="__module.down_blocks.0.resnets.0.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="1868176" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -2238,7 +446,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="147" name="Constant_74926" type="Convert" version="opset1">
+		<layer id="26" name="__module.down_blocks.0.resnets.0.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -2260,7 +468,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="148" name="/down_blocks.0/resnets.0/norm1/Add" type="Add" version="opset1">
+		<layer id="27" name="__module.down_blocks.0.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2277,7 +485,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/norm1/Add_output_0">
+				<port id="2" precision="FP32" names="164,hidden_states.3">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -2285,190 +493,112 @@
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 			</output>
 		</layer>
-		<layer id="149" name="/down_blocks.0/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="28" name="ShapeOf_194387" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>320</dim>
+					<dim>4</dim>
 					<dim>64</dim>
 					<dim>64</dim>
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/down_blocks.0/resnets.0/nonlinearity/Mul_output_0">
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-					<dim>320</dim>
-					<dim>64</dim>
-					<dim>64</dim>
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 		</layer>
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-			<data destination_type="f32" />
+		<layer id="29" name="Constant_196495" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1868816" size="8" />
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-			<data element_type="f16" shape="1, 320, 1, 1" offset="2142752" size="640" />
+		<layer id="30" name="Constant_194389" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+				<port id="0" precision="I64" />
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 		</layer>
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-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="31" name="Gather_194390" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>320</dim>
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+				<port id="0" precision="I64">
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+				<port id="1" precision="I64">
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 			<output>
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-					<dim>320</dim>
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+				<port id="3" precision="I64" names="28,30,31,3580">
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 		</layer>
-		<layer id="155" name="/down_blocks.0/resnets.0/conv1/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="32" name="aten::expand/Broadcast" type="Broadcast" version="opset3">
+			<data mode="bidirectional" />
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-					<dim>1</dim>
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 		</layer>
-		<layer id="156" name="/Where" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2143392" size="8" />
+		<layer id="33" name="68" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868824" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/Where_output_0">
-					<dim>1</dim>
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+				<port id="0" precision="I64" names="68" />
 			</output>
 		</layer>
-		<layer id="157" name="/Expand" type="Broadcast" version="opset3">
-			<data mode="bidirectional" />
+		<layer id="34" name="__module.time_proj/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
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-				<port id="0" precision="FP32">
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-				<port id="1" precision="I64">
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 			<output>
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+				<port id="2" precision="I64" names="83">
 					<dim>1</dim>
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-		<layer id="158" name="/time_proj/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2143392" size="8" />
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 				</port>
 			</output>
 		</layer>
-		<layer id="159" name="/time_proj/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="35" name="__module.time_proj/aten::to/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<input>
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 			<output>
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+				<port id="1" precision="FP32" names="84">
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f16" shape="1, 160" offset="2143400" size="320" />
+		<layer id="36" name="__module.time_proj/aten::slice/Slice_1_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 160" offset="1868832" size="320" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -2476,7 +606,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="161" name="/time_proj/Constant_1" type="Convert" version="opset1">
+		<layer id="37" name="__module.time_proj/aten::slice/Slice_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -2488,13 +618,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/time_proj/Constant_1_output_0">
+				<port id="1" precision="FP32" names="86">
 					<dim>1</dim>
 					<dim>160</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="162" name="/time_proj/Mul" type="Multiply" version="opset1">
+		<layer id="38" name="__module.time_proj/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2507,13 +637,13 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/time_proj/Mul_output_0">
+				<port id="2" precision="FP32" names="87,88,emb.3,emb.5">
 					<dim>1</dim>
 					<dim>160</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="163" name="/time_proj/Sin" type="Sin" version="opset1">
+		<layer id="39" name="__module.time_proj/aten::sin/Sin" type="Sin" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2521,13 +651,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/time_proj/Sin_output_0">
+				<port id="1" precision="FP32" names="89">
 					<dim>1</dim>
 					<dim>160</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="164" name="/time_proj/Cos" type="Cos" version="opset1">
+		<layer id="40" name="__module.time_proj/aten::cos/Cos" type="Cos" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2535,13 +665,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/time_proj/Cos_output_0">
+				<port id="1" precision="FP32" names="90">
 					<dim>1</dim>
 					<dim>160</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="165" name="/time_proj/Concat" type="Concat" version="opset1">
+		<layer id="41" name="__module.time_proj/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2554,109 +684,129 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/time_proj/Concat_output_0">
+				<port id="2" precision="FP32" names="92,93,95,emb">
 					<dim>1</dim>
 					<dim>320</dim>
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 		</layer>
-		<layer id="166" name="Constant_63946" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="2143720" size="16" />
+		<layer id="42" name="__module.time_proj/aten::slice/Reshape_8" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1869152" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
-		<layer id="167" name="Constant_63949" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="2143736" size="16" />
+		<layer id="43" name="__module.time_proj/aten::slice/Reshape_9" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1869160" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>2</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="168" name="Constant_63952" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="2143752" size="16" />
+		<layer id="44" name="__module.time_proj/aten::slice/Reshape_10" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1868824" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>2</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="169" name="/time_proj/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 0" end_mask="1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="45" name="__module.time_proj/aten::slice/Reshape_11" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1868824" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="46" name="__module.time_proj/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>320</dim>
 				</port>
 				<port id="1" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="/time_proj/Slice_output_0">
+				<port id="5" precision="FP32" names="94">
 					<dim>1</dim>
 					<dim>160</dim>
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 			</output>
 		</layer>
-		<layer id="170" name="Constant_63958" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="2143768" size="16" />
+		<layer id="47" name="__module.time_proj/aten::slice/Reshape_16" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1868816" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>2</dim>
+					<dim>1</dim>
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 		</layer>
-		<layer id="171" name="Constant_63961" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="2143720" size="16" />
+		<layer id="48" name="__module.time_proj/aten::slice/Reshape_17" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1869152" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>2</dim>
+					<dim>1</dim>
 				</port>
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 		</layer>
-		<layer id="172" name="Constant_63964" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="2143752" size="16" />
+		<layer id="49" name="__module.time_proj/aten::slice/Reshape_18" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1868824" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>2</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="50" name="__module.time_proj/aten::slice/Reshape_19" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1868824" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="173" name="/time_proj/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 0" end_mask="1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="51" name="__module.time_proj/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>320</dim>
 				</port>
 				<port id="1" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="/time_proj/Slice_1_output_0">
+				<port id="5" precision="FP32" names="96">
 					<dim>1</dim>
 					<dim>160</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="174" name="/time_proj/Concat_1" type="Concat" version="opset1">
+		<layer id="52" name="__module.time_proj/aten::cat/Concat_1" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2669,14 +819,14 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/Cast_output_0,/time_proj/Concat_1_output_0">
+				<port id="2" precision="FP32" names="39,98,input.1,t_emb">
 					<dim>1</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="175" name="time_embedding.linear_1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 320" offset="2143784" size="819200" />
+		<layer id="53" name="self.time_embedding.linear_1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 320" offset="1869168" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -2684,7 +834,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="176" name="time_embedding.linear_1.weight" type="Convert" version="opset1">
+		<layer id="54" name="self.time_embedding.linear_1.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -2696,13 +846,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="time_embedding.linear_1.weight">
+				<port id="1" precision="FP32" names="self.time_embedding.linear_1.weight">
 					<dim>1280</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="177" name="/time_embedding/linear_1/Gemm/WithoutBiases" type="MatMul" version="opset1">
+		<layer id="55" name="__module.time_embedding.linear_1/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2721,8 +871,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="178" name="Constant_74927_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280" offset="2962984" size="2560" />
+		<layer id="56" name="Constant_190154_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280" offset="2688368" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -2730,7 +880,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="179" name="Constant_74927" type="Convert" version="opset1">
+		<layer id="57" name="Constant_190154" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -2748,7 +898,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="180" name="/time_embedding/linear_1/Gemm" type="Add" version="opset1">
+		<layer id="58" name="__module.time_embedding.linear_1/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2761,13 +911,13 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/time_embedding/linear_1/Gemm_output_0">
+				<port id="2" precision="FP32" names="103,input.3">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="181" name="/time_embedding/act/Mul" type="Swish" version="opset4">
+		<layer id="59" name="__module.conv_act/aten::silu/Swish_1" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2775,14 +925,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/time_embedding/act/Mul_output_0">
+				<port id="1" precision="FP32" names="104,input.5">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="182" name="time_embedding.linear_2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="2965544" size="3276800" />
+		<layer id="60" name="self.time_embedding.linear_2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="2690928" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -2790,7 +940,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="183" name="time_embedding.linear_2.weight" type="Convert" version="opset1">
+		<layer id="61" name="self.time_embedding.linear_2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -2802,13 +952,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="time_embedding.linear_2.weight">
+				<port id="1" precision="FP32" names="self.time_embedding.linear_2.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="184" name="/time_embedding/linear_2/Gemm/WithoutBiases" type="MatMul" version="opset1">
+		<layer id="62" name="__module.time_embedding.linear_2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2827,8 +977,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="185" name="Constant_74928_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280" offset="6242344" size="2560" />
+		<layer id="63" name="Constant_190155_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280" offset="5967728" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -2836,7 +986,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="186" name="Constant_74928" type="Convert" version="opset1">
+		<layer id="64" name="Constant_190155" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -2854,7 +1004,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="187" name="/time_embedding/linear_2/Gemm" type="Add" version="opset1">
+		<layer id="65" name="__module.time_embedding.linear_2/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2867,13 +1017,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/time_embedding/linear_2/Gemm_output_0">
+				<port id="2" precision="FP32" names="107,input.11">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="188" name="/down_blocks.0/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="66" name="__module.conv_act/aten::silu/Swish_2" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2881,14 +1031,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/down_blocks.0/resnets.0/nonlinearity_1/Mul_output_0">
+				<port id="1" precision="FP32" names="1034,1237,1457,1497,1564,165,1760,1824,1874,1924,2018,2224,2430,2680,2886,3092,3339,3545,361,3751,596,799,input.109,input.13,input.141,input.173,input.205,input.217,input.229,input.261,input.273,input.285,input.297,input.309,input.341,input.373,input.405,input.437,input.45,input.469,input.501,input.533,input.565,input.77">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="189" name="down_blocks.0.resnets.0.time_emb_proj.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1280" offset="6244904" size="819200" />
+		<layer id="67" name="self.down_blocks.0.resnets.0.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1280" offset="5970288" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -2896,7 +1046,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="190" name="down_blocks.0.resnets.0.time_emb_proj.weight" type="Convert" version="opset1">
+		<layer id="68" name="self.down_blocks.0.resnets.0.time_emb_proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -2908,13 +1058,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="down_blocks.0.resnets.0.time_emb_proj.weight">
+				<port id="1" precision="FP32" names="self.down_blocks.0.resnets.0.time_emb_proj.weight">
 					<dim>320</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="191" name="/down_blocks.0/resnets.0/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+		<layer id="69" name="__module.down_blocks.0.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2933,8 +1083,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="192" name="Constant_74929_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 320" offset="7064104" size="640" />
+		<layer id="70" name="Constant_190156_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320" offset="6789488" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -2942,7 +1092,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="193" name="Constant_74929" type="Convert" version="opset1">
+		<layer id="71" name="Constant_190156" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -2960,7 +1110,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="194" name="/down_blocks.0/resnets.0/time_emb_proj/Gemm" type="Add" version="opset1">
+		<layer id="72" name="__module.down_blocks.0.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2973,59 +1123,51 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/time_emb_proj/Gemm_output_0">
+				<port id="2" precision="FP32" names="168,169,170">
 					<dim>1</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="195" name="/down_blocks.0/resnets.0/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="73" name="134" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="6790128" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/resnets.0/Constant_output_0">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I64" names="134" />
 			</output>
 		</layer>
-		<layer id="196" name="/down_blocks.0/resnets.0/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="74" name="__module.down_blocks.0.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>320</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/Unsqueeze_output_0">
+				<port id="2" precision="FP32" names="171">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="197" name="/down_blocks.0/resnets.0/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="7064744" size="8" />
+		<layer id="75" name="135" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="6790136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/resnets.0/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I64" names="135" />
 			</output>
 		</layer>
-		<layer id="198" name="/down_blocks.0/resnets.0/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="76" name="__module.down_blocks.0.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/Unsqueeze_1_output_0">
+				<port id="2" precision="FP32" names="172,temb.1">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -3033,7 +1175,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="199" name="/down_blocks.0/resnets.0/Add" type="Add" version="opset1">
+		<layer id="77" name="__module.down_blocks.0.resnets.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3050,7 +1192,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/Add_output_0">
+				<port id="2" precision="FP32" names="173,input.15">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -3058,15 +1200,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="200" name="/down_blocks.0/resnets.0/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="78" name="__module.down_blocks.0.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/resnets.0/norm2/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="201" name="/down_blocks.0/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+		<layer id="79" name="__module.down_blocks.0.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3075,27 +1220,27 @@
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/norm2/Reshape_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>40960</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="202" name="Constant_1008" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="80" name="__module.down_blocks.0.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="203" name="MVN_1009" type="MVN" version="opset6">
+		<layer id="81" name="__module.down_blocks.0.resnets.0.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3103,20 +1248,20 @@
 					<dim>32</dim>
 					<dim>40960</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/norm2/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>40960</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="204" name="/down_blocks.0/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="82" name="__module.down_blocks.0.resnets.0.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3126,12 +1271,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/down_blocks.0/resnets.0/norm2/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="205" name="/down_blocks.0/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+		<layer id="83" name="__module.down_blocks.0.resnets.0.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3139,12 +1284,12 @@
 					<dim>32</dim>
 					<dim>40960</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/norm2/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -3152,8 +1297,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="206" name="Constant_74930_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 320, 1, 1" offset="7064752" size="640" />
+		<layer id="84" name="Constant_190157_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="6790144" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3163,7 +1308,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="207" name="Constant_74930" type="Convert" version="opset1">
+		<layer id="85" name="Constant_190157" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -3185,7 +1330,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="208" name="/down_blocks.0/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+		<layer id="86" name="__module.down_blocks.0.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3202,7 +1347,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/norm2/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -3210,8 +1355,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="209" name="Constant_74931_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 320, 1, 1" offset="7065392" size="640" />
+		<layer id="87" name="Constant_190158_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="6790784" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3221,7 +1366,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="210" name="Constant_74931" type="Convert" version="opset1">
+		<layer id="88" name="Constant_190158" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -3243,7 +1388,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="211" name="/down_blocks.0/resnets.0/norm2/Add" type="Add" version="opset1">
+		<layer id="89" name="__module.down_blocks.0.resnets.0.norm2/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3260,7 +1405,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/norm2/Add_output_0">
+				<port id="2" precision="FP32" names="176,input.17">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -3268,7 +1413,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="212" name="/down_blocks.0/resnets.0/nonlinearity_2/Mul" type="Swish" version="opset4">
+		<layer id="90" name="__module.conv_act/aten::silu/Swish_3" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3278,7 +1423,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/down_blocks.0/resnets.0/nonlinearity_2/Mul_output_0">
+				<port id="1" precision="FP32" names="177,input.19">
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@@ -3286,8 +1431,8 @@
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-			<data element_type="f16" shape="320, 320, 3, 3" offset="7066032" size="1843200" />
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+			<data element_type="f16" shape="320, 320, 3, 3" offset="6791424" size="1843200" />
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@@ -3297,7 +1442,7 @@
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@@ -3311,7 +1456,7 @@
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@@ -3319,7 +1464,7 @@
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@@ -3344,8 +1489,8 @@
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@@ -3355,7 +1500,7 @@
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@@ -3377,7 +1522,7 @@
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@@ -3402,7 +1547,7 @@
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 			<data auto_broadcast="numpy" />
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@@ -3419,7 +1564,7 @@
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@@ -3427,15 +1572,18 @@
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-			<data element_type="i64" shape="3" offset="298240" size="24" />
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+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
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@@ -3444,27 +1592,27 @@
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+		<layer id="100" name="__module.down_blocks.0.attentions.0.norm/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
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-		<layer id="223" name="MVN_1174" type="MVN" version="opset6">
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@@ -3472,20 +1620,20 @@
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-				<port id="1" precision="I64">
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+				<port id="2" precision="FP32">
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 					<dim>32</dim>
 					<dim>40960</dim>
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 		</layer>
-		<layer id="224" name="/down_blocks.0/attentions.0/norm/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="102" name="__module.down_blocks.0.attentions.0.norm/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
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 				<port id="0" precision="FP32">
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@@ -3495,12 +1643,12 @@
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-				<port id="1" precision="I64" names="/down_blocks.0/attentions.0/norm/Shape_output_0">
+				<port id="1" precision="I32">
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 		</layer>
-		<layer id="225" name="/down_blocks.0/attentions.0/norm/Reshape_1" type="Reshape" version="opset1">
+		<layer id="103" name="__module.down_blocks.0.attentions.0.norm/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
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@@ -3508,12 +1656,12 @@
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 					<dim>40960</dim>
 				</port>
-				<port id="1" precision="I64">
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+				<port id="2" precision="FP32">
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 					<dim>320</dim>
 					<dim>64</dim>
@@ -3521,8 +1669,8 @@
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-			<data element_type="f16" shape="1, 320, 1, 1" offset="8909872" size="640" />
+		<layer id="104" name="Constant_190159_compressed" type="Const" version="opset1">
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@@ -3532,7 +1680,7 @@
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 		</layer>
-		<layer id="227" name="Constant_74932" type="Convert" version="opset1">
+		<layer id="105" name="Constant_190159" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -3554,7 +1702,7 @@
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 		</layer>
-		<layer id="228" name="/down_blocks.0/attentions.0/norm/Mul" type="Multiply" version="opset1">
+		<layer id="106" name="__module.down_blocks.0.attentions.0.norm/aten::group_norm/Multiply" type="Multiply" version="opset1">
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@@ -3571,7 +1719,7 @@
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+				<port id="2" precision="FP32">
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 					<dim>320</dim>
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@@ -3579,8 +1727,8 @@
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-			<data element_type="f16" shape="1, 320, 1, 1" offset="8910512" size="640" />
+		<layer id="107" name="Constant_190160_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="8635904" size="640" />
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@@ -3590,7 +1738,7 @@
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 		</layer>
-		<layer id="230" name="Constant_74933" type="Convert" version="opset1">
+		<layer id="108" name="Constant_190160" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -3612,7 +1760,7 @@
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@@ -3629,7 +1777,7 @@
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+				<port id="2" precision="FP32" names="200,hidden_states.11">
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 					<dim>320</dim>
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@@ -3637,8 +1785,8 @@
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-			<data element_type="f16" shape="320, 320, 1, 1" offset="8911152" size="204800" />
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+			<data element_type="f16" shape="320, 320, 1, 1" offset="8636544" size="204800" />
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@@ -3648,7 +1796,7 @@
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@@ -3662,7 +1810,7 @@
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@@ -3670,7 +1818,7 @@
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 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
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@@ -3695,8 +1843,8 @@
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+		<layer id="113" name="__module.down_blocks.0.attentions.0.proj_in/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="8841344" size="640" />
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@@ -3706,7 +1854,7 @@
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-		<layer id="236" name="Reshape_1296" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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@@ -3728,7 +1876,7 @@
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 					<dim>320</dim>
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@@ -3753,15 +1901,15 @@
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+		<layer id="116" name="Constant_67579" type="Const" version="opset1">
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@@ -3774,7 +1922,7 @@
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-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/Transpose_output_0">
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 					<dim>64</dim>
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@@ -3782,15 +1930,18 @@
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+		<layer id="118" name="Constant_196270" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="8842016" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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@@ -3804,22 +1955,22 @@
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+		<layer id="120" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
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+		<layer id="121" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
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@@ -3827,20 +1978,20 @@
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 					<dim>4096</dim>
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-		<layer id="244" name="Constant_74934_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="9116656" size="640" />
+		<layer id="122" name="Constant_190161_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="8842044" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3849,7 +2000,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="245" name="Constant_74934" type="Convert" version="opset1">
+		<layer id="123" name="Constant_190161" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -3869,7 +2020,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="246" name="/down_blocks.0/attentions.0/transformer_blocks.0/norm1/Mul" type="Multiply" version="opset1">
+		<layer id="124" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3884,15 +2035,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/norm1/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="247" name="Constant_74935_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="9117296" size="640" />
+		<layer id="125" name="Constant_190162_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="8842684" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3901,7 +2052,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="248" name="Constant_74935" type="Convert" version="opset1">
+		<layer id="126" name="Constant_190162" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -3921,7 +2072,7 @@
 				</port>
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 		</layer>
-		<layer id="249" name="/down_blocks.0/attentions.0/transformer_blocks.0/norm1/Add_1" type="Add" version="opset1">
+		<layer id="127" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -3936,15 +2087,15 @@
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/norm1/Add_1_output_0">
+				<port id="2" precision="FP32" names="224,hidden_states.17">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
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 			</output>
 		</layer>
-		<layer id="250" name="Constant_73006_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320" offset="9117936" size="204800" />
+		<layer id="128" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_q.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="8843324" size="204800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -3952,7 +2103,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="251" name="Constant_73006" type="Convert" version="opset1">
+		<layer id="129" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_q.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -3964,13 +2115,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_q.weight">
 					<dim>320</dim>
 					<dim>320</dim>
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 			</output>
 		</layer>
-		<layer id="252" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+		<layer id="130" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
@@ -3984,22 +2135,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+				<port id="2" precision="FP32" names="232,query.1">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="253" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322736" size="32" />
+		<layer id="131" name="Constant_196271" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="9048124" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="254" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
+		<layer id="132" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
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 				<port id="0" precision="FP32">
@@ -4012,7 +2166,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Reshape_output_0">
+				<port id="2" precision="FP32" names="244">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>8</dim>
@@ -4020,15 +2174,15 @@
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 			</output>
 		</layer>
-		<layer id="255" name="Constant_1356" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="133" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="256" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+		<layer id="134" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4036,50 +2190,21 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Transpose_output_0">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="257" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9322800" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_1_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="258" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="245,query.3">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Reshape_1_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="259" name="Constant_73013_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320" offset="9322824" size="204800" />
+		<layer id="135" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="9048172" size="204800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -4087,7 +2212,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="260" name="Constant_73013" type="Convert" version="opset1">
+		<layer id="136" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -4099,13 +2224,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_k.weight">
 					<dim>320</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="261" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="137" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4119,22 +2244,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="234,key.1">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="262" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322736" size="32" />
+		<layer id="138" name="Constant_196272" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="9048124" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="263" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+		<layer id="139" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4147,7 +2275,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="247">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>8</dim>
@@ -4155,15 +2283,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="264" name="Constant_1372" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="140" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="265" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+		<layer id="141" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4171,141 +2299,21 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Transpose_1_output_0">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="266" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9322800" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_3_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="267" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="248,key.3">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Reshape_3_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="268" name="Constant_74936_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="9527624" size="2" />
-			<output>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="269" name="Constant_74936" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>1</dim>
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-				<port id="1" precision="FP32">
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-					<dim>1</dim>
-					<dim>1</dim>
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-		</layer>
-		<layer id="270" name="Multiply_74227" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
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-				<port id="1" precision="FP32">
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-					<dim>1</dim>
-					<dim>1</dim>
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-			<output>
-				<port id="2" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="271" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
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-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
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-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
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-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Mul_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>4096</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="272" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>4096</dim>
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-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Softmax_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>4096</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="273" name="Constant_73020_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320" offset="9527626" size="204800" />
+		<layer id="142" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="9252972" size="204800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -4313,7 +2321,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="274" name="Constant_73020" type="Convert" version="opset1">
+		<layer id="143" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -4325,13 +2333,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_v.weight">
 					<dim>320</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="275" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="144" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
@@ -4345,22 +2353,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="236,value.1">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="276" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322736" size="32" />
+		<layer id="145" name="Constant_196273" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="9048124" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="277" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Reshape_4" type="Reshape" version="opset1">
+		<layer id="146" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4373,7 +2384,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="250">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>8</dim>
@@ -4381,15 +2392,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="278" name="Constant_1388" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="147" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="279" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+		<layer id="148" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4397,12 +2408,12 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="251,value.3">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
@@ -4410,16 +2421,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="280" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9322800" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_5_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="281" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="149" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4427,62 +2430,21 @@
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Reshape_5_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="282" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>4096</dim>
-				</port>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/MatMul_1_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="283" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9732426" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_7_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="284" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Reshape_6_output_0">
+				<port id="3" precision="FP32" names="252,hidden_states.19">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
@@ -4490,15 +2452,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="285" name="Constant_1411" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="150" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="286" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Transpose_4" type="Transpose" version="opset1">
+		<layer id="151" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4506,12 +2468,12 @@
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="253">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>8</dim>
@@ -4519,15 +2481,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="287" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9116624" size="24" />
+		<layer id="152" name="Constant_196274" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="9457772" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_8_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="288" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Reshape_7" type="Reshape" version="opset1">
+		<layer id="153" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4541,15 +2506,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Reshape_7_output_0">
+				<port id="2" precision="FP32" names="257,258,hidden_states.21,input.21">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="289" name="Constant_73027_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320" offset="9732458" size="204800" />
+		<layer id="154" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="9457796" size="204800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -4557,7 +2522,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="290" name="Constant_73027" type="Convert" version="opset1">
+		<layer id="155" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -4569,13 +2534,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_out.0.weight">
 					<dim>320</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="291" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="156" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4589,36 +2554,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="292" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="157" name="Constant_190163_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="9662596" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="158" name="Constant_190163" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>320</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="159" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+				<port id="2" precision="FP32" names="261,263,attn_output.1,input.23">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="293" name="/down_blocks.0/attentions.0/transformer_blocks.0/Add" type="Add" version="opset1">
+		<layer id="160" name="__module.down_blocks.0.attentions.0.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4633,22 +2628,22 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/Add_output_0">
+				<port id="2" precision="FP32" names="264,input.25">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="294" name="Constant_1423" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="161" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="295" name="/down_blocks.0/attentions.0/transformer_blocks.0/norm2/Div" type="MVN" version="opset6">
+		<layer id="162" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4656,20 +2651,20 @@
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/norm2/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="296" name="Constant_74938_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="9937258" size="640" />
+		<layer id="163" name="Constant_190164_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="9663236" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -4678,7 +2673,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="297" name="Constant_74938" type="Convert" version="opset1">
+		<layer id="164" name="Constant_190164" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -4698,7 +2693,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="298" name="/down_blocks.0/attentions.0/transformer_blocks.0/norm2/Mul" type="Multiply" version="opset1">
+		<layer id="165" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4713,15 +2708,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/norm2/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="299" name="Constant_74939_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="9937898" size="640" />
+		<layer id="166" name="Constant_190165_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="9663876" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -4730,7 +2725,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="300" name="Constant_74939" type="Convert" version="opset1">
+		<layer id="167" name="Constant_190165" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -4750,7 +2745,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="301" name="/down_blocks.0/attentions.0/transformer_blocks.0/norm2/Add_1" type="Add" version="opset1">
+		<layer id="168" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4765,15 +2760,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/norm2/Add_1_output_0">
+				<port id="2" precision="FP32" names="268,input.27">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="302" name="Constant_73035_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320" offset="9938538" size="204800" />
+		<layer id="169" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_q.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="9664516" size="204800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -4781,7 +2776,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="303" name="Constant_73035" type="Convert" version="opset1">
+		<layer id="170" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_q.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -4793,13 +2788,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_q.weight">
 					<dim>320</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="304" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
+		<layer id="171" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4813,102 +2808,172 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+				<port id="2" precision="FP32" names="276,query.5">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="305" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322736" size="32" />
+		<layer id="172" name="ShapeOf_194498" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_output_0">
-					<dim>4</dim>
+				<port id="1" precision="I64">
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="306" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+		<layer id="173" name="Constant_194499" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>4096</dim>
-					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="174" name="Constant_194500" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="175" name="Gather_194501" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Reshape_output_0">
+				<port id="3" precision="I64" names="1150,1346,1673,2134,2340,2546,274,2796,3002,3208,3455,3661,3867,470,712,908">
 					<dim>1</dim>
-					<dim>4096</dim>
-					<dim>8</dim>
-					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="307" name="Constant_1446" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="176" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1/prim::ListConstruct/Reshape_0" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9869316" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="177" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn1/prim::ListConstruct/Reshape_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9869324" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="178" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2/prim::ListConstruct/Reshape_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9869332" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="179" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2/prim::ListConstruct/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I64" names="287,290,293,3468,3471,3474,3674,3677,3680,3880,3883,3886,483,486,489">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="308" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+		<layer id="180" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
-					<dim>8</dim>
-					<dim>40</dim>
+					<dim>320</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Transpose_output_0">
+				<port id="2" precision="FP32" names="288">
 					<dim>1</dim>
-					<dim>8</dim>
 					<dim>4096</dim>
+					<dim>8</dim>
 					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="309" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9322800" size="24" />
+		<layer id="181" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_1_output_0">
-					<dim>3</dim>
+				<port id="0" precision="I32">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="310" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="182" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>8</dim>
 					<dim>4096</dim>
+					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="289,query.7">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="311" name="Constant_73042_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 768" offset="10143338" size="491520" />
+		<layer id="183" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 768" offset="9869340" size="491520" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -4916,7 +2981,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="312" name="Constant_73042" type="Convert" version="opset1">
+		<layer id="184" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -4928,13 +2993,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_k.weight">
 					<dim>320</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="313" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="185" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4948,22 +3013,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="278,key.5">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="314" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="10634858" size="32" />
+		<layer id="186" name="Constant_196275" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="9048124" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="315" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+		<layer id="187" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4976,7 +3044,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="291">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -4984,15 +3052,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="316" name="Constant_1462" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="188" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="317" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+		<layer id="189" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5000,141 +3068,21 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Transpose_1_output_0">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="318" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="10634890" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_3_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="319" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="292,key.7">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Reshape_3_output_0">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="320" name="Constant_74940_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="9527624" size="2" />
-			<output>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="321" name="Constant_74940" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>1</dim>
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-			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="322" name="Multiply_74229" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>40</dim>
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-				<port id="1" precision="FP32">
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-					<dim>1</dim>
-					<dim>1</dim>
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-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="323" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
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-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>40</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Mul_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="324" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>77</dim>
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-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Softmax_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>77</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="325" name="Constant_73049_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 768" offset="10634914" size="491520" />
+		<layer id="190" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 768" offset="10360860" size="491520" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -5142,7 +3090,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="326" name="Constant_73049" type="Convert" version="opset1">
+		<layer id="191" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_v.weight" type="Convert" version="opset1">
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@@ -5154,13 +3102,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_v.weight">
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 		</layer>
-		<layer id="327" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="192" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
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@@ -5174,22 +3122,25 @@
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-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="280,value.5">
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 					<dim>77</dim>
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 		</layer>
-		<layer id="328" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="10634858" size="32" />
+		<layer id="193" name="Constant_196276" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="9048124" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_4_output_0">
+				<port id="0" precision="I64">
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 		</layer>
-		<layer id="329" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Reshape_4" type="Reshape" version="opset1">
+		<layer id="194" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
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@@ -5202,7 +3153,7 @@
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-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="294">
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 					<dim>77</dim>
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@@ -5210,15 +3161,15 @@
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 		</layer>
-		<layer id="330" name="Constant_1478" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="195" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="331" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+		<layer id="196" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
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@@ -5226,12 +3177,12 @@
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 					<dim>40</dim>
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-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="295,value.7">
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@@ -5239,79 +3190,30 @@
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 		</layer>
-		<layer id="332" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="10634890" size="24" />
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-				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_5_output_0">
-					<dim>3</dim>
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-			</output>
-		</layer>
-		<layer id="333" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="197" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>8</dim>
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-					<dim>40</dim>
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-				<port id="1" precision="I64">
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-			<output>
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-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="334" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
 					<dim>8</dim>
 					<dim>4096</dim>
-					<dim>77</dim>
+					<dim>40</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>40</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/MatMul_1_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="335" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9732426" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_7_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="336" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
-					<dim>4096</dim>
+					<dim>77</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Reshape_6_output_0">
+				<port id="3" precision="FP32" names="296,hidden_states.25">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
@@ -5319,15 +3221,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="337" name="Constant_1501" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="198" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="338" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Transpose_4" type="Transpose" version="opset1">
+		<layer id="199" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5335,12 +3237,12 @@
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="297">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>8</dim>
@@ -5348,15 +3250,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="339" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9116624" size="24" />
+		<layer id="200" name="Constant_196277" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="9457772" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_8_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="340" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Reshape_7" type="Reshape" version="opset1">
+		<layer id="201" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5370,15 +3275,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Reshape_7_output_0">
+				<port id="2" precision="FP32" names="301,302,hidden_states.27,input.29">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="341" name="Constant_73056_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320" offset="11126434" size="204800" />
+		<layer id="202" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="10852380" size="204800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -5386,7 +3291,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="342" name="Constant_73056" type="Convert" version="opset1">
+		<layer id="203" name="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -5398,13 +3303,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_out.0.weight">
 					<dim>320</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="343" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="204" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5418,36 +3323,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="344" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="205" name="Constant_190166_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="11057180" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="206" name="Constant_190166" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>320</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="207" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+				<port id="2" precision="FP32" names="305,307,attn_output.3,input.31">
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 					<dim>4096</dim>
 					<dim>320</dim>
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 			</output>
 		</layer>
-		<layer id="345" name="/down_blocks.0/attentions.0/transformer_blocks.0/Add_1" type="Add" version="opset1">
+		<layer id="208" name="__module.down_blocks.0.attentions.0.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5462,22 +3397,22 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/Add_1_output_0">
+				<port id="2" precision="FP32" names="308,input.33">
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 					<dim>4096</dim>
 					<dim>320</dim>
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 		</layer>
-		<layer id="346" name="Constant_1513" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="209" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
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 				</port>
 			</output>
 		</layer>
-		<layer id="347" name="/down_blocks.0/attentions.0/transformer_blocks.0/norm3/Div" type="MVN" version="opset6">
+		<layer id="210" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
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@@ -5485,20 +3420,20 @@
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/norm3/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="348" name="Constant_74942_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="11331234" size="640" />
+		<layer id="211" name="Constant_190167_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="11057820" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -5507,7 +3442,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="349" name="Constant_74942" type="Convert" version="opset1">
+		<layer id="212" name="Constant_190167" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -5527,7 +3462,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="350" name="/down_blocks.0/attentions.0/transformer_blocks.0/norm3/Mul" type="Multiply" version="opset1">
+		<layer id="213" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5542,15 +3477,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/norm3/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="351" name="Constant_74943_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="11331874" size="640" />
+		<layer id="214" name="Constant_190168_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="11058460" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -5559,7 +3494,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="352" name="Constant_74943" type="Convert" version="opset1">
+		<layer id="215" name="Constant_190168" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -5579,7 +3514,7 @@
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@@ -5594,15 +3529,15 @@
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@@ -5610,7 +3545,7 @@
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 			</output>
 		</layer>
-		<layer id="355" name="Constant_73064" type="Convert" version="opset1">
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@@ -5622,13 +3557,13 @@
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 			</input>
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@@ -5642,349 +3577,226 @@
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+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+				<port id="3" precision="FP32" names="322,hidden_states.31">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
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+				<port id="4" precision="FP32" names="323,gate.1">
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+		<layer id="236" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
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@@ -5994,14 +3806,14 @@
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+				<port id="1" precision="FP32" names="324">
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-		<layer id="384" name="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+		<layer id="237" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
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@@ -6016,15 +3828,15 @@
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-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Mul_4_output_0">
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-			<data element_type="f16" shape="320, 1280" offset="12970974" size="819200" />
+		<layer id="238" name="self.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1280" offset="12702624" size="819200" />
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@@ -6032,7 +3844,7 @@
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 			</output>
 		</layer>
-		<layer id="386" name="Constant_73072" type="Convert" version="opset1">
+		<layer id="239" name="self.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.2.weight" type="Convert" version="opset1">
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@@ -6044,13 +3856,13 @@
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-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.2.weight">
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-		<layer id="387" name="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+		<layer id="240" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
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@@ -6064,36 +3876,66 @@
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 					<dim>4096</dim>
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-			<data auto_broadcast="numpy" />
+		<layer id="241" name="Constant_190170_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="13521824" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="242" name="Constant_190170" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
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 					<dim>1</dim>
 					<dim>320</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="243" name="__module.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.2/Add_output_0">
+				<port id="2" precision="FP32" names="329,ff_output.1">
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 					<dim>4096</dim>
 					<dim>320</dim>
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 			</output>
 		</layer>
-		<layer id="389" name="/down_blocks.0/attentions.0/transformer_blocks.0/Add_2" type="Add" version="opset1">
+		<layer id="244" name="__module.down_blocks.0.attentions.0.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -6108,23 +3950,95 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/Add_2_output_0">
+				<port id="2" precision="FP32" names="330,hidden_states.33">
 					<dim>1</dim>
 					<dim>4096</dim>
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-			<data element_type="i64" shape="4" offset="13790174" size="32" />
+		<layer id="245" name="ShapeOf_194395" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
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+			</input>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/Constant_1_output_0">
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="391" name="/down_blocks.0/attentions.0/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="246" name="Constant_196597" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="13522464" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="247" name="Constant_196598" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="248" name="Gather_196599" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="249" name="__module.down_blocks.0.attentions.0/prim::ListConstruct/Reshape_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="13522488" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="250" name="__module.down_blocks.0.attentions.0/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="331">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="251" name="__module.down_blocks.0.attentions.0/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6136,7 +4050,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="332">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>64</dim>
@@ -6144,15 +4058,15 @@
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 			</output>
 		</layer>
-		<layer id="392" name="Constant_1695" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="13790206" size="32" />
+		<layer id="252" name="Constant_68280" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="13522496" size="32" />
 			<output>
-				<port id="0" precision="I64">
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 			</output>
 		</layer>
-		<layer id="393" name="/down_blocks.0/attentions.0/Transpose_1" type="Transpose" version="opset1">
+		<layer id="253" name="__module.down_blocks.0.attentions.0/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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@@ -6165,7 +4079,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="334">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -6173,8 +4087,8 @@
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 			</output>
 		</layer>
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-			<data element_type="f16" shape="320, 320, 1, 1" offset="13790238" size="204800" />
+		<layer id="254" name="self.down_blocks.0.attentions.0.proj_out.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320, 1, 1" offset="13522528" size="204800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -6184,7 +4098,7 @@
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 			</output>
 		</layer>
-		<layer id="395" name="down_blocks.0.attentions.0.proj_out.weight" type="Convert" version="opset1">
+		<layer id="255" name="self.down_blocks.0.attentions.0.proj_out.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -6198,7 +4112,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="down_blocks.0.attentions.0.proj_out.weight">
+				<port id="1" precision="FP32" names="self.down_blocks.0.attentions.0.proj_out.weight">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -6206,7 +4120,7 @@
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 			</output>
 		</layer>
-		<layer id="396" name="/down_blocks.0/attentions.0/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="256" name="__module.down_blocks.0.attentions.0.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
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@@ -6231,8 +4145,8 @@
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 		</layer>
-		<layer id="397" name="Reshape_1717_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 320, 1, 1" offset="13995038" size="640" />
+		<layer id="257" name="__module.down_blocks.0.attentions.0.proj_out/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="13727328" size="640" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -6242,7 +4156,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="398" name="Reshape_1717" type="Convert" version="opset1">
+		<layer id="258" name="__module.down_blocks.0.attentions.0.proj_out/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -6264,7 +4178,7 @@
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 			</output>
 		</layer>
-		<layer id="399" name="/down_blocks.0/attentions.0/proj_out/Conv" type="Add" version="opset1">
+		<layer id="259" name="__module.down_blocks.0.attentions.0.proj_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -6281,7 +4195,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/proj_out/Conv_output_0">
+				<port id="2" precision="FP32" names="342,hidden_states.37">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -6289,7 +4203,7 @@
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 		</layer>
-		<layer id="400" name="/down_blocks.0/attentions.0/Add" type="Add" version="opset1">
+		<layer id="260" name="__module.down_blocks.0.attentions.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6306,7 +4220,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/Add_output_0">
+				<port id="2" precision="FP32" names="343,45,input.41">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -6314,15 +4228,18 @@
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 		</layer>
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-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="261" name="__module.down_blocks.0.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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 			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/resnets.1/norm1/Constant_output_0">
+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="402" name="/down_blocks.0/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+		<layer id="262" name="__module.down_blocks.0.resnets.1.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
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 				<port id="0" precision="FP32">
@@ -6331,27 +4248,27 @@
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/resnets.1/norm1/Reshape_output_0">
+				<port id="2" precision="FP32">
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 					<dim>32</dim>
 					<dim>40960</dim>
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-		<layer id="403" name="Constant_1755" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="263" name="__module.down_blocks.0.resnets.1.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
-				<port id="0" precision="I64">
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 		</layer>
-		<layer id="404" name="MVN_1756" type="MVN" version="opset6">
+		<layer id="264" name="__module.down_blocks.0.resnets.1.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -6359,20 +4276,20 @@
 					<dim>32</dim>
 					<dim>40960</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/resnets.1/norm1/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
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 					<dim>32</dim>
 					<dim>40960</dim>
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 		</layer>
-		<layer id="405" name="/down_blocks.0/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="265" name="__module.down_blocks.0.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
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 				<port id="0" precision="FP32">
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@@ -6382,12 +4299,12 @@
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-				<port id="1" precision="I64" names="/down_blocks.0/resnets.1/norm1/Shape_output_0">
+				<port id="1" precision="I32">
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@@ -6408,8 +4325,8 @@
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-			<data element_type="f16" shape="1, 320, 1, 1" offset="13995678" size="640" />
+		<layer id="267" name="Constant_190171_compressed" type="Const" version="opset1">
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@@ -6419,7 +4336,7 @@
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-		<layer id="408" name="Constant_74946" type="Convert" version="opset1">
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@@ -6441,7 +4358,7 @@
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@@ -6466,8 +4383,8 @@
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-			<data element_type="f16" shape="1, 320, 1, 1" offset="13996318" size="640" />
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@@ -6477,7 +4394,7 @@
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@@ -6499,7 +4416,7 @@
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@@ -6524,7 +4441,7 @@
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 		</layer>
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 				<port id="0" precision="FP32">
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@@ -6542,8 +4459,8 @@
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-			<data element_type="f16" shape="320, 320, 3, 3" offset="13996958" size="1843200" />
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+			<data element_type="f16" shape="320, 320, 3, 3" offset="13729248" size="1843200" />
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 				<port id="0" precision="FP16">
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@@ -6553,7 +4470,7 @@
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 					<dim>320</dim>
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@@ -6575,7 +4492,7 @@
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 		</layer>
-		<layer id="416" name="/down_blocks.0/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
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 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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@@ -6600,8 +4517,314 @@
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-			<data element_type="f16" shape="1, 320, 1, 1" offset="15840158" size="640" />
+		<layer id="277" name="__module.down_blocks.0.resnets.1.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="15572448" size="640" />
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+					<dim>1</dim>
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+		<layer id="278" name="__module.down_blocks.0.resnets.1.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<data auto_broadcast="numpy" />
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+			<data destination_type="f32" />
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 				<port id="0" precision="FP16">
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@@ -7215,27 +5118,27 @@
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@@ -7243,20 +5146,20 @@
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@@ -7266,12 +5169,12 @@
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+				<port id="1" precision="I32">
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@@ -7350,8 +5253,8 @@
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@@ -7383,7 +5286,7 @@
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-			<data element_type="f16" shape="320, 320, 1, 1" offset="18507038" size="204800" />
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@@ -7419,7 +5322,7 @@
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@@ -7441,7 +5344,7 @@
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@@ -7466,8 +5369,8 @@
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@@ -7477,7 +5380,7 @@
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@@ -7499,7 +5402,7 @@
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@@ -7524,15 +5427,15 @@
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+		<layer id="327" name="Constant_68792" type="Const" version="opset1">
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@@ -7553,15 +5456,18 @@
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-			<data element_type="i64" shape="3" offset="9116624" size="24" />
+		<layer id="329" name="Constant_196278" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="8842016" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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@@ -7575,22 +5481,22 @@
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+		<layer id="331" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
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@@ -7598,20 +5504,20 @@
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@@ -7620,7 +5526,7 @@
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@@ -7640,7 +5546,7 @@
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@@ -7672,7 +5578,7 @@
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@@ -7692,7 +5598,7 @@
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@@ -7723,7 +5629,7 @@
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@@ -7735,13 +5641,13 @@
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+		<layer id="342" name="Constant_196279" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="9048124" size="32" />
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@@ -7783,7 +5692,7 @@
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@@ -7791,15 +5700,15 @@
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@@ -7807,50 +5716,21 @@
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-			<data element_type="i64" shape="3" offset="9322800" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Constant_1_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="489" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="441,query.11">
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 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Reshape_1_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="490" name="Constant_73089_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320" offset="18918558" size="204800" />
+		<layer id="346" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="18650848" size="204800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -7858,7 +5738,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="491" name="Constant_73089" type="Convert" version="opset1">
+		<layer id="347" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -7870,13 +5750,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_k.weight">
 					<dim>320</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="492" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="348" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -7890,22 +5770,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="430,key.9">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="493" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322736" size="32" />
+		<layer id="349" name="Constant_196280" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="9048124" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="494" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+		<layer id="350" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7918,7 +5801,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="443">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>8</dim>
@@ -7926,15 +5809,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="495" name="Constant_2292" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="351" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="496" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+		<layer id="352" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7942,12 +5825,12 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="444,key.11">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
@@ -7955,128 +5838,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="497" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9322800" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Constant_3_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="498" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
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-					<dim>40</dim>
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-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Reshape_3_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="499" name="Constant_74955_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="9527624" size="2" />
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-				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="500" name="Constant_74955" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
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-			<output>
-				<port id="1" precision="FP32">
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-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="501" name="Multiply_74231" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="502" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Mul_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>4096</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="503" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>4096</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Softmax_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>4096</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="504" name="Constant_73096_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320" offset="19123358" size="204800" />
+		<layer id="353" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="18855648" size="204800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -8084,7 +5847,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="505" name="Constant_73096" type="Convert" version="opset1">
+		<layer id="354" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -8096,13 +5859,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_v.weight">
 					<dim>320</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="506" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="355" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8116,22 +5879,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="432,value.9">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="507" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322736" size="32" />
+		<layer id="356" name="Constant_196281" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="9048124" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="508" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Reshape_4" type="Reshape" version="opset1">
+		<layer id="357" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8144,7 +5910,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="446">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>8</dim>
@@ -8152,15 +5918,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="509" name="Constant_2308" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="358" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="510" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+		<layer id="359" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8168,12 +5934,12 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="447,value.11">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
@@ -8181,16 +5947,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="511" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9322800" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Constant_5_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="512" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="360" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8198,62 +5956,21 @@
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Reshape_5_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="513" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>4096</dim>
-				</port>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/MatMul_1_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="514" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9732426" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Constant_7_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="515" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Reshape_6_output_0">
+				<port id="3" precision="FP32" names="448,hidden_states.57">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
@@ -8261,15 +5978,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="516" name="Constant_2331" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="361" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
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-		<layer id="517" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Transpose_4" type="Transpose" version="opset1">
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@@ -8277,12 +5994,12 @@
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-				<port id="1" precision="I64">
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+				<port id="2" precision="FP32" names="449">
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@@ -8290,15 +6007,18 @@
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-			<data element_type="i64" shape="3" offset="9116624" size="24" />
+		<layer id="363" name="Constant_196282" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="9457772" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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 		</layer>
-		<layer id="519" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Reshape_7" type="Reshape" version="opset1">
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@@ -8312,15 +6032,15 @@
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+		<layer id="365" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="19060448" size="204800" />
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@@ -8328,7 +6048,7 @@
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 		</layer>
-		<layer id="521" name="Constant_73103" type="Convert" version="opset1">
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@@ -8340,13 +6060,13 @@
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 			</input>
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-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_out.0.weight">
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 		</layer>
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+		<layer id="367" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
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@@ -8360,36 +6080,44 @@
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-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
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 					<dim>4096</dim>
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-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
+		<layer id="368" name="Constant_190180_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="19265248" size="640" />
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 					<dim>320</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="369" name="Constant_190180" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16">
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+				<port id="1" precision="FP32">
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 		</layer>
-		<layer id="524" name="/down_blocks.0/attentions.1/transformer_blocks.0/Add" type="Add" version="opset1">
+		<layer id="370" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
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@@ -8399,100 +6127,70 @@
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 					<dim>1</dim>
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+				<port id="2" precision="FP32" names="457,459,attn_output.5,input.55">
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 					<dim>4096</dim>
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-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="371" name="__module.down_blocks.0.attentions.1.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
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 					<dim>4096</dim>
 					<dim>320</dim>
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+		<layer id="372" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="373" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
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 				<port id="0" precision="FP32">
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 					<dim>320</dim>
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-				<port id="1" precision="FP32">
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 			</input>
 			<output>
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+				<port id="2" precision="FP32">
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 					<dim>4096</dim>
 					<dim>320</dim>
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-		<layer id="530" name="Constant_74958_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="19533598" size="640" />
+		<layer id="374" name="Constant_190181_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="19265888" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -8501,7 +6199,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="531" name="Constant_74958" type="Convert" version="opset1">
+		<layer id="375" name="Constant_190181" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -8521,7 +6219,7 @@
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 		</layer>
-		<layer id="532" name="/down_blocks.0/attentions.1/transformer_blocks.0/norm2/Add_1" type="Add" version="opset1">
+		<layer id="376" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -8536,42 +6234,45 @@
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/norm2/Add_1_output_0">
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+		<layer id="377" name="Constant_190182_compressed" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP16">
-					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>320</dim>
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 			</output>
 		</layer>
-		<layer id="534" name="Constant_73111" type="Convert" version="opset1">
+		<layer id="378" name="Constant_190182" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
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 			<input>
 				<port id="0" precision="FP16">
-					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>320</dim>
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 			</output>
 		</layer>
-		<layer id="535" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
+		<layer id="379" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8579,107 +6280,119 @@
 					<dim>320</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/to_q/MatMul_output_0">
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 					<dim>4096</dim>
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-			<data element_type="i64" shape="4" offset="9322736" size="32" />
+		<layer id="380" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_q.weight_compressed" type="Const" version="opset1">
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-					<dim>4</dim>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
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 		</layer>
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-			<data special_zero="true" />
+		<layer id="381" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_q.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
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+				<port id="1" precision="FP32" names="self.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_q.weight">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="382" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
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 				<port id="0" precision="FP32">
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+				<port id="2" precision="FP32" names="485,query.15">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="542" name="Constant_73118_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 768" offset="19739038" size="491520" />
+		<layer id="386" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 768" offset="19471968" size="491520" />
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 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -8687,7 +6400,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="543" name="Constant_73118" type="Convert" version="opset1">
+		<layer id="387" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -8699,13 +6412,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_k.weight">
 					<dim>320</dim>
 					<dim>768</dim>
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 			</output>
 		</layer>
-		<layer id="544" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="388" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
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@@ -8719,22 +6432,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="474,key.13">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>320</dim>
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 		</layer>
-		<layer id="545" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="10634858" size="32" />
+		<layer id="389" name="Constant_196283" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="9048124" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="546" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+		<layer id="390" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
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@@ -8747,7 +6463,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="487">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -8755,15 +6471,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="547" name="Constant_2382" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="391" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="548" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+		<layer id="392" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8771,141 +6487,21 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Transpose_1_output_0">
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-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="549" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="10634890" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Constant_3_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="550" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>40</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
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-					<dim>77</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="551" name="Constant_74959_compressed" type="Const" version="opset1">
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-			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="552" name="Constant_74959" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
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-					<dim>1</dim>
-					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="553" name="Multiply_74233" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>40</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="488,key.15">
 					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="554" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
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-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>40</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Mul_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="555" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>77</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Softmax_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="556" name="Constant_73125_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 768" offset="20230558" size="491520" />
+		<layer id="393" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 768" offset="19963488" size="491520" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -8913,7 +6509,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="557" name="Constant_73125" type="Convert" version="opset1">
+		<layer id="394" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -8925,13 +6521,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_v.weight">
 					<dim>320</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="558" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="395" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8945,22 +6541,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="476,value.13">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="559" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="10634858" size="32" />
+		<layer id="396" name="Constant_196284" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="9048124" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="560" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Reshape_4" type="Reshape" version="opset1">
+		<layer id="397" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8973,7 +6572,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="490">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -8981,15 +6580,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="561" name="Constant_2398" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="398" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="562" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+		<layer id="399" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8997,12 +6596,12 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="491,value.15">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
@@ -9010,79 +6609,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="563" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="10634890" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Constant_5_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="564" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="400" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>40</dim>
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-				<port id="1" precision="I64">
-					<dim>3</dim>
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-			<output>
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-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="565" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
 					<dim>8</dim>
 					<dim>4096</dim>
-					<dim>77</dim>
+					<dim>40</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>40</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/MatMul_1_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</output>
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-			<data element_type="i64" shape="4" offset="9732426" size="32" />
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-				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Constant_7_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="567" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
-					<dim>4096</dim>
+					<dim>77</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Reshape_6_output_0">
+				<port id="3" precision="FP32" names="492,hidden_states.63">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
@@ -9090,15 +6640,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="568" name="Constant_2421" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="401" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="569" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Transpose_4" type="Transpose" version="opset1">
+		<layer id="402" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9106,12 +6656,12 @@
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="493">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>8</dim>
@@ -9119,15 +6669,18 @@
 				</port>
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-			<data element_type="i64" shape="3" offset="9116624" size="24" />
+		<layer id="403" name="Constant_196285" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="9457772" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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-				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Constant_8_output_0">
+				<port id="0" precision="I64">
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 		</layer>
-		<layer id="571" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Reshape_7" type="Reshape" version="opset1">
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@@ -9141,15 +6694,15 @@
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-			<data element_type="f16" shape="320, 320" offset="20722078" size="204800" />
+		<layer id="405" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="20455008" size="204800" />
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@@ -9157,7 +6710,7 @@
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 			</output>
 		</layer>
-		<layer id="573" name="Constant_73132" type="Convert" version="opset1">
+		<layer id="406" name="self.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_out.0.weight" type="Convert" version="opset1">
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@@ -9169,13 +6722,13 @@
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 			</input>
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-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_out.0.weight">
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 		</layer>
-		<layer id="574" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="407" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -9189,36 +6742,66 @@
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-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
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 					<dim>4096</dim>
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="408" name="Constant_190183_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="20659808" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
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+			</output>
+		</layer>
+		<layer id="409" name="Constant_190183" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 			<input>
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 					<dim>1</dim>
 					<dim>320</dim>
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+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
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+			</output>
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+		<layer id="410" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
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 					<dim>4096</dim>
 					<dim>320</dim>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>320</dim>
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 					<dim>4096</dim>
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 		</layer>
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+		<layer id="411" name="__module.down_blocks.0.attentions.1.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -9233,22 +6816,22 @@
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 					<dim>4096</dim>
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-		<layer id="577" name="Constant_2433" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="412" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
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 		</layer>
-		<layer id="578" name="/down_blocks.0/attentions.1/transformer_blocks.0/norm3/Div" type="MVN" version="opset6">
+		<layer id="413" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -9256,20 +6839,20 @@
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 					<dim>320</dim>
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 			<output>
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 					<dim>4096</dim>
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-			<data element_type="f16" shape="1, 1, 320" offset="20926878" size="640" />
+		<layer id="414" name="Constant_190184_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="20660448" size="640" />
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@@ -9278,7 +6861,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="580" name="Constant_74961" type="Convert" version="opset1">
+		<layer id="415" name="Constant_190184" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -9298,7 +6881,7 @@
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 		</layer>
-		<layer id="581" name="/down_blocks.0/attentions.1/transformer_blocks.0/norm3/Mul" type="Multiply" version="opset1">
+		<layer id="416" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -9313,15 +6896,15 @@
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 					<dim>4096</dim>
 					<dim>320</dim>
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-			<data element_type="f16" shape="1, 1, 320" offset="20927518" size="640" />
+		<layer id="417" name="Constant_190185_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="20661088" size="640" />
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@@ -9330,7 +6913,7 @@
 				</port>
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 		</layer>
-		<layer id="583" name="Constant_74962" type="Convert" version="opset1">
+		<layer id="418" name="Constant_190185" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -9350,7 +6933,7 @@
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 		</layer>
-		<layer id="584" name="/down_blocks.0/attentions.1/transformer_blocks.0/norm3/Add_1" type="Add" version="opset1">
+		<layer id="419" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -9365,15 +6948,15 @@
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+		<layer id="420" name="self.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0.proj.weight_compressed" type="Const" version="opset1">
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@@ -9381,7 +6964,7 @@
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 		</layer>
-		<layer id="586" name="Constant_73140" type="Convert" version="opset1">
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@@ -9393,13 +6976,13 @@
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+		<layer id="422" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
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@@ -9413,61 +6996,67 @@
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 					<dim>4096</dim>
 					<dim>2560</dim>
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-			<input>
-				<port id="0" precision="FP32">
+		<layer id="423" name="Constant_190186_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="22300128" size="5120" />
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 					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="424" name="Constant_190186" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
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+				<port id="1" precision="FP32">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+		<layer id="425" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
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-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>2560</dim>
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-		<layer id="591" name="Constant_64168" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+			</input>
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-				<port id="0" precision="I64">
+				<port id="2" precision="FP32" names="516">
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-			<data output_type="i64" />
+		<layer id="426" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
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 				<port id="0" precision="FP32">
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@@ -9476,286 +7065,145 @@
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-				<port id="1" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Shape_output_0">
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-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="427" name="Constant_113175" type="Const" version="opset1">
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-					<dim>1</dim>
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+				<port id="2" precision="I32" />
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-		</layer>
-		<layer id="601" name="ScatterUpdate_64173" type="ScatterUpdate" version="opset3">
+		<layer id="430" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="431" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
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+				<port id="0" precision="I32" />
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+				<port id="2" precision="BOOL">
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-			<data element_type="i64" shape="1" offset="298264" size="8" />
-			<output>
-				<port id="0" precision="I64">
+		<layer id="432" name="Convert_194622" type="Convert" version="opset1">
+			<data destination_type="i32" />
+			<input>
+				<port id="0" precision="BOOL">
 					<dim>1</dim>
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-		<layer id="606" name="Constant_64238" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="12970946" size="4" />
+			</input>
 			<output>
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+				<port id="1" precision="I32">
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 				</port>
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 		</layer>
-		<layer id="607" name="ScatterUpdate_64241" type="ScatterUpdate" version="opset3">
+		<layer id="433" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
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-				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Constant_5_output_0">
+				<port id="2" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				</port>
-				<port id="1" precision="I64">
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-				</port>
-			</input>
+		<layer id="434" name="Constant_113176" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="2" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Mul_1_output_0">
+				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="611" name="ScatterUpdate_64243" type="ScatterUpdate" version="opset3">
+		<layer id="435" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+			<data axis="0" />
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-				<port id="2" precision="I64">
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-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="2" precision="I32">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="436" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
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 					<dim>2560</dim>
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-				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>2</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="3" precision="FP32" names="518,hidden_states.69">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="4" precision="FP32" names="519,gate.3">
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 					<dim>4096</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="614" name="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+		<layer id="437" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
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@@ -9765,14 +7213,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+				<port id="1" precision="FP32" names="520">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="615" name="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+		<layer id="438" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -9787,15 +7235,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+				<port id="2" precision="FP32" names="521,input.69">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>1280</dim>
 				</port>
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 		</layer>
-		<layer id="616" name="Constant_73148_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1280" offset="22566558" size="819200" />
+		<layer id="439" name="self.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1280" offset="22305248" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -9803,7 +7251,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="617" name="Constant_73148" type="Convert" version="opset1">
+		<layer id="440" name="self.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -9815,13 +7263,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.2.weight">
 					<dim>320</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="618" name="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+		<layer id="441" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
@@ -9835,36 +7283,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.2/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="442" name="Constant_190187_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="23124448" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="443" name="Constant_190187" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>320</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="444" name="__module.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.2/Add_output_0">
+				<port id="2" precision="FP32" names="525,ff_output.3">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="620" name="/down_blocks.0/attentions.1/transformer_blocks.0/Add_2" type="Add" version="opset1">
+		<layer id="445" name="__module.down_blocks.0.attentions.1.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9879,23 +7357,95 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/Add_2_output_0">
+				<port id="2" precision="FP32" names="526,hidden_states.71">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="13790174" size="32" />
+		<layer id="446" name="ShapeOf_194519" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/Constant_1_output_0">
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="622" name="/down_blocks.0/attentions.1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="447" name="Constant_196606" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="13522464" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="448" name="Constant_196607" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="449" name="Gather_196608" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="450" name="__module.down_blocks.0.attentions.1/prim::ListConstruct/Reshape_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="13522488" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="451" name="__module.down_blocks.0.attentions.1/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="527">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="452" name="__module.down_blocks.0.attentions.1/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9907,7 +7457,7 @@
 				</port>
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@@ -9955,7 +7505,7 @@
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@@ -9977,7 +7527,7 @@
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@@ -10096,7 +7646,7 @@
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@@ -10118,7 +7668,7 @@
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@@ -10154,7 +7704,7 @@
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@@ -10176,7 +7726,7 @@
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@@ -10212,7 +7762,7 @@
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@@ -10226,7 +7776,7 @@
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 					<dim>320</dim>
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@@ -10234,7 +7784,7 @@
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@@ -10259,8 +7809,8 @@
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@@ -10270,7 +7820,7 @@
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@@ -10292,7 +7842,7 @@
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 					<dim>640</dim>
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@@ -10317,15 +7867,18 @@
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+			<rt_info>
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@@ -10334,27 +7887,27 @@
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-		<layer id="647" name="MVN_2724" type="MVN" version="opset6">
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@@ -10362,20 +7915,20 @@
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@@ -10385,12 +7938,12 @@
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@@ -10398,12 +7951,12 @@
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@@ -10411,8 +7964,8 @@
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@@ -10422,7 +7975,7 @@
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-		<layer id="651" name="Constant_74965" type="Convert" version="opset1">
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@@ -10444,7 +7997,7 @@
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 					<dim>320</dim>
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@@ -10469,8 +8022,8 @@
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@@ -10480,7 +8033,7 @@
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@@ -10519,7 +8072,7 @@
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+				<port id="2" precision="FP32" names="587,input.75">
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@@ -10527,7 +8080,7 @@
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 				<port id="0" precision="FP32">
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@@ -10537,7 +8090,7 @@
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@@ -10545,8 +8098,8 @@
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@@ -10556,7 +8109,7 @@
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@@ -10570,7 +8123,7 @@
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@@ -10578,7 +8131,7 @@
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@@ -10603,8 +8156,8 @@
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@@ -10614,7 +8167,7 @@
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@@ -10636,7 +8189,7 @@
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@@ -10653,7 +8206,7 @@
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@@ -10661,8 +8214,8 @@
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-			<data element_type="f16" shape="640, 1280" offset="29534878" size="1638400" />
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@@ -10670,7 +8223,7 @@
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@@ -10682,13 +8235,13 @@
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-		<layer id="665" name="/down_blocks.1/resnets.0/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
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 			<data transpose_a="false" transpose_b="true" />
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@@ -10707,8 +8260,8 @@
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-			<data element_type="f16" shape="1, 640" offset="31173278" size="1280" />
+		<layer id="496" name="Constant_190190_compressed" type="Const" version="opset1">
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@@ -10716,7 +8269,7 @@
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 		</layer>
-		<layer id="667" name="Constant_74967" type="Convert" version="opset1">
+		<layer id="497" name="Constant_190190" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -10734,7 +8287,7 @@
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 			<data auto_broadcast="numpy" />
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@@ -10747,59 +8300,51 @@
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-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="499" name="564" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/resnets.0/Constant_output_0">
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 				<port id="0" precision="FP32">
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 					<dim>640</dim>
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-				<port id="1" precision="I64">
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+		<layer id="501" name="565" type="Const" version="opset1">
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 			<output>
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 			<input>
 				<port id="0" precision="FP32">
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 					<dim>640</dim>
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@@ -10807,7 +8352,7 @@
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-		<layer id="673" name="/down_blocks.1/resnets.0/Add" type="Add" version="opset1">
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@@ -10824,7 +8369,7 @@
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 					<dim>640</dim>
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@@ -10832,15 +8377,18 @@
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+		<layer id="504" name="__module.down_blocks.1.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1">
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+			<rt_info>
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@@ -10849,27 +8397,27 @@
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+		<layer id="506" name="__module.down_blocks.1.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
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@@ -10877,20 +8425,20 @@
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+		<layer id="508" name="__module.down_blocks.1.resnets.0.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
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@@ -10900,12 +8448,12 @@
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@@ -10913,12 +8461,12 @@
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@@ -10926,8 +8474,8 @@
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@@ -10984,8 +8532,8 @@
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@@ -10995,7 +8543,7 @@
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@@ -11034,7 +8582,7 @@
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 					<dim>640</dim>
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@@ -11042,7 +8590,7 @@
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 				<port id="0" precision="FP32">
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@@ -11060,8 +8608,8 @@
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@@ -11071,7 +8619,7 @@
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@@ -11093,7 +8641,7 @@
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@@ -11118,8 +8666,8 @@
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@@ -11129,7 +8677,7 @@
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@@ -11201,15 +8749,18 @@
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@@ -11218,27 +8769,27 @@
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@@ -11246,20 +8797,20 @@
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-		<layer id="698" name="/down_blocks.1/attentions.0/norm/Shape" type="ShapeOf" version="opset3">
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+		<layer id="528" name="__module.down_blocks.1.attentions.0.norm/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
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@@ -11269,12 +8820,12 @@
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+				<port id="1" precision="I32">
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@@ -11282,12 +8833,12 @@
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 					<dim>20480</dim>
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@@ -11295,8 +8846,8 @@
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-			<data element_type="f16" shape="1, 640, 1, 1" offset="38551198" size="1280" />
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@@ -11306,7 +8857,7 @@
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-		<layer id="701" name="Constant_74970" type="Convert" version="opset1">
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@@ -11328,7 +8879,7 @@
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@@ -11345,7 +8896,7 @@
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+				<port id="2" precision="FP32">
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@@ -11353,8 +8904,8 @@
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-			<data element_type="f16" shape="1, 640, 1, 1" offset="38552478" size="1280" />
+		<layer id="533" name="Constant_190194_compressed" type="Const" version="opset1">
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@@ -11364,7 +8915,7 @@
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-		<layer id="704" name="Constant_74971" type="Convert" version="opset1">
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@@ -11386,7 +8937,7 @@
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+				<port id="2" precision="FP32" names="638,hidden_states.89">
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 					<dim>640</dim>
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@@ -11411,8 +8962,8 @@
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-			<data element_type="f16" shape="640, 640, 1, 1" offset="38553758" size="819200" />
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+			<data element_type="f16" shape="640, 640, 1, 1" offset="38293088" size="819200" />
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@@ -11422,7 +8973,7 @@
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@@ -11436,7 +8987,7 @@
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 					<dim>640</dim>
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@@ -11444,7 +8995,7 @@
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 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
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@@ -11469,8 +9020,8 @@
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+		<layer id="539" name="__module.down_blocks.1.attentions.0.proj_in/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="39112288" size="1280" />
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@@ -11480,7 +9031,7 @@
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-		<layer id="710" name="Reshape_3232" type="Convert" version="opset1">
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@@ -11502,7 +9053,7 @@
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 					<dim>640</dim>
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@@ -11527,15 +9078,15 @@
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+		<layer id="542" name="Constant_70124" type="Const" version="opset1">
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@@ -11548,7 +9099,7 @@
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-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/Transpose_output_0">
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@@ -11556,15 +9107,18 @@
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+		<layer id="544" name="Constant_196286" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39113568" size="24" />
+			<rt_info>
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@@ -11578,22 +9132,22 @@
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 					<dim>1024</dim>
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+		<layer id="546" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
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@@ -11601,20 +9155,20 @@
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-		<layer id="718" name="Constant_74972_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="39374262" size="1280" />
+		<layer id="548" name="Constant_190195_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="39113592" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -11623,7 +9177,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="719" name="Constant_74972" type="Convert" version="opset1">
+		<layer id="549" name="Constant_190195" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -11643,7 +9197,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="720" name="/down_blocks.1/attentions.0/transformer_blocks.0/norm1/Mul" type="Multiply" version="opset1">
+		<layer id="550" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11658,15 +9212,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/norm1/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="721" name="Constant_74973_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="39375542" size="1280" />
+		<layer id="551" name="Constant_190196_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="39114872" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -11675,7 +9229,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="722" name="Constant_74973" type="Convert" version="opset1">
+		<layer id="552" name="Constant_190196" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -11695,7 +9249,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="723" name="/down_blocks.1/attentions.0/transformer_blocks.0/norm1/Add_1" type="Add" version="opset1">
+		<layer id="553" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11710,15 +9264,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/norm1/Add_1_output_0">
+				<port id="2" precision="FP32" names="662,hidden_states.95">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="724" name="Constant_73158_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="39376822" size="819200" />
+		<layer id="554" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="39116152" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -11726,7 +9280,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="725" name="Constant_73158" type="Convert" version="opset1">
+		<layer id="555" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -11738,13 +9292,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="726" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+		<layer id="556" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
@@ -11758,22 +9312,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+				<port id="2" precision="FP32" names="670,query.17">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="727" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="40196022" size="32" />
+		<layer id="557" name="Constant_196287" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="39935352" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="728" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
+		<layer id="558" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
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 				<port id="0" precision="FP32">
@@ -11786,7 +9343,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_output_0">
+				<port id="2" precision="FP32" names="682">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -11794,15 +9351,15 @@
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 			</output>
 		</layer>
-		<layer id="729" name="Constant_3292" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="559" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="730" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+		<layer id="560" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11810,50 +9367,21 @@
 					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_output_0">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="731" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="40196054" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_1_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="732" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="683,query.19">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_1_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="733" name="Constant_73165_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="40196078" size="819200" />
+		<layer id="561" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="39935384" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -11861,7 +9389,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="734" name="Constant_73165" type="Convert" version="opset1">
+		<layer id="562" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -11873,13 +9401,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="735" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="563" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11893,22 +9421,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="672,key.17">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="736" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="40196022" size="32" />
+		<layer id="564" name="Constant_196288" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="39935352" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="737" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+		<layer id="565" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11921,7 +9452,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="685">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -11929,15 +9460,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="738" name="Constant_3308" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="566" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="739" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+		<layer id="567" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11945,141 +9476,21 @@
 					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_1_output_0">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="740" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="40196054" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_3_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="741" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_3_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="742" name="Constant_74974_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="41015278" size="2" />
-			<output>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="743" name="Constant_74974" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP32" names="686,key.19">
 					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
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-		</layer>
-		<layer id="744" name="Multiply_74235" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
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-				<port id="1" precision="FP32">
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-					<dim>1</dim>
-					<dim>1</dim>
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-			<output>
-				<port id="2" precision="FP32">
 					<dim>8</dim>
 					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="745" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
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-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
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-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>1024</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="746" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>1024</dim>
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-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Softmax_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>1024</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="747" name="Constant_73172_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="41015280" size="819200" />
+		<layer id="568" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn1.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="40754584" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -12087,7 +9498,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="748" name="Constant_73172" type="Convert" version="opset1">
+		<layer id="569" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn1.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -12099,13 +9510,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.1.attentions.0.transformer_blocks.0.attn1.to_v.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 				</port>
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 		</layer>
-		<layer id="749" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="570" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
@@ -12119,22 +9530,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="674,value.17">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="750" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="40196022" size="32" />
+		<layer id="571" name="Constant_196289" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="39935352" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="751" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_4" type="Reshape" version="opset1">
+		<layer id="572" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12147,7 +9561,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="688">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -12155,15 +9569,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="752" name="Constant_3324" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="573" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="753" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+		<layer id="574" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12171,12 +9585,12 @@
 					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="689,value.19">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
@@ -12184,16 +9598,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="754" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="40196054" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_5_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="755" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="575" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12201,62 +9607,21 @@
 					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_5_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="756" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>1024</dim>
-				</port>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/MatMul_1_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="757" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="41834480" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_7_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="758" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_6_output_0">
+				<port id="3" precision="FP32" names="690,hidden_states.97">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
@@ -12264,15 +9629,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="759" name="Constant_3347" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="576" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="760" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_4" type="Transpose" version="opset1">
+		<layer id="577" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12280,12 +9645,12 @@
 					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="691">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -12293,15 +9658,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="761" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39374238" size="24" />
+		<layer id="578" name="Constant_196290" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="41573784" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_8_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="762" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_7" type="Reshape" version="opset1">
+		<layer id="579" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12315,15 +9683,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_7_output_0">
+				<port id="2" precision="FP32" names="695,696,hidden_states.99,input.85">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="763" name="Constant_73179_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="41834512" size="819200" />
+		<layer id="580" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="41573808" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -12331,7 +9699,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="764" name="Constant_73179" type="Convert" version="opset1">
+		<layer id="581" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -12343,13 +9711,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="765" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="582" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12363,36 +9731,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="766" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="583" name="Constant_190197_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="42393008" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="584" name="Constant_190197" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>640</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="585" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+				<port id="2" precision="FP32" names="699,701,attn_output.9,input.87">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="767" name="/down_blocks.1/attentions.0/transformer_blocks.0/Add" type="Add" version="opset1">
+		<layer id="586" name="__module.down_blocks.1.attentions.0.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12407,22 +9805,22 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/Add_output_0">
+				<port id="2" precision="FP32" names="702,input.89">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="768" name="Constant_3359" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="587" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="769" name="/down_blocks.1/attentions.0/transformer_blocks.0/norm2/Div" type="MVN" version="opset6">
+		<layer id="588" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12430,20 +9828,20 @@
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/norm2/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="770" name="Constant_74976_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="42653712" size="1280" />
+		<layer id="589" name="Constant_190198_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="42394288" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -12452,7 +9850,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="771" name="Constant_74976" type="Convert" version="opset1">
+		<layer id="590" name="Constant_190198" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -12472,7 +9870,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="772" name="/down_blocks.1/attentions.0/transformer_blocks.0/norm2/Mul" type="Multiply" version="opset1">
+		<layer id="591" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12487,15 +9885,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/norm2/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="773" name="Constant_74977_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="42654992" size="1280" />
+		<layer id="592" name="Constant_190199_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="42395568" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -12504,7 +9902,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="774" name="Constant_74977" type="Convert" version="opset1">
+		<layer id="593" name="Constant_190199" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -12524,7 +9922,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="775" name="/down_blocks.1/attentions.0/transformer_blocks.0/norm2/Add_1" type="Add" version="opset1">
+		<layer id="594" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12539,15 +9937,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/norm2/Add_1_output_0">
+				<port id="2" precision="FP32" names="706,input.91">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="776" name="Constant_73187_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="42656272" size="819200" />
+		<layer id="595" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="42396848" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -12555,7 +9953,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="777" name="Constant_73187" type="Convert" version="opset1">
+		<layer id="596" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -12567,13 +9965,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="778" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
+		<layer id="597" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12587,102 +9985,120 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+				<port id="2" precision="FP32" names="714,query.21">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="779" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="40196022" size="32" />
+		<layer id="598" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn1/prim::ListConstruct/Reshape_0" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9869316" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_output_0">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="780" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+		<layer id="599" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn1/prim::ListConstruct/Reshape_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9869324" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>1024</dim>
-					<dim>640</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="600" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2/prim::ListConstruct/Reshape_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="43216048" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_output_0">
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>1024</dim>
-					<dim>8</dim>
-					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="781" name="Constant_3382" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
-			<output>
+		<layer id="601" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2/prim::ListConstruct/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
 				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I64" names="2809,2812,2815,3015,3018,3021,3221,3224,3227,725,728,731,921,924,927">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="782" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+		<layer id="602" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
-					<dim>8</dim>
-					<dim>80</dim>
+					<dim>640</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose_output_0">
+				<port id="2" precision="FP32" names="726">
 					<dim>1</dim>
-					<dim>8</dim>
 					<dim>1024</dim>
+					<dim>8</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="783" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="40196054" size="24" />
+		<layer id="603" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_1_output_0">
-					<dim>3</dim>
+				<port id="0" precision="I32">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="784" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="604" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>8</dim>
 					<dim>1024</dim>
+					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="727,query.23">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="785" name="Constant_73194_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 768" offset="43475472" size="983040" />
+		<layer id="605" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 768" offset="43216056" size="983040" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -12690,7 +10106,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="786" name="Constant_73194" type="Convert" version="opset1">
+		<layer id="606" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -12702,13 +10118,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight">
 					<dim>640</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="787" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="607" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12722,22 +10138,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="716,key.21">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="788" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="44458512" size="32" />
+		<layer id="608" name="Constant_196291" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="39935352" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="789" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+		<layer id="609" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12750,7 +10169,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="729">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -12758,15 +10177,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="790" name="Constant_3398" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="610" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="791" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+		<layer id="611" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12774,12 +10193,12 @@
 					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="730,key.23">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
@@ -12787,128 +10206,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="792" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="44458544" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_3_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="793" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_3_output_0">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="794" name="Constant_74978_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="41015278" size="2" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="795" name="Constant_74978" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>1</dim>
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-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="796" name="Multiply_74237" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
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-				<port id="1" precision="FP32">
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-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="797" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="798" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>77</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Softmax_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="799" name="Constant_73201_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 768" offset="44458568" size="983040" />
+		<layer id="612" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 768" offset="44199096" size="983040" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -12916,7 +10215,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="800" name="Constant_73201" type="Convert" version="opset1">
+		<layer id="613" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -12928,13 +10227,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_v.weight">
 					<dim>640</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="801" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="614" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12948,22 +10247,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="718,value.21">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="802" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="44458512" size="32" />
+		<layer id="615" name="Constant_196292" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="39935352" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_4_output_0">
+				<port id="0" precision="I64">
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 		</layer>
-		<layer id="803" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_4" type="Reshape" version="opset1">
+		<layer id="616" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
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@@ -12976,7 +10278,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="732">
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 					<dim>77</dim>
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@@ -12984,15 +10286,15 @@
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 		</layer>
-		<layer id="804" name="Constant_3414" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="617" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 				</port>
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 		</layer>
-		<layer id="805" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+		<layer id="618" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
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@@ -13000,12 +10302,12 @@
 					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="733,value.23">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
@@ -13013,79 +10315,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="806" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="44458544" size="24" />
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-				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_5_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="807" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="619" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
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-					<dim>77</dim>
-					<dim>80</dim>
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-				<port id="1" precision="I64">
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-					<dim>77</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="808" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
 					<dim>8</dim>
 					<dim>1024</dim>
-					<dim>77</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/MatMul_1_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="809" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="41834480" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_7_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="810" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
-					<dim>1024</dim>
+					<dim>77</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_6_output_0">
+				<port id="3" precision="FP32" names="734,hidden_states.103">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
@@ -13093,15 +10346,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="811" name="Constant_3437" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="620" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="812" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose_4" type="Transpose" version="opset1">
+		<layer id="621" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13109,12 +10362,12 @@
 					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="735">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -13122,15 +10375,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="813" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39374238" size="24" />
+		<layer id="622" name="Constant_196293" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="41573784" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_8_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="814" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_7" type="Reshape" version="opset1">
+		<layer id="623" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13144,15 +10400,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_7_output_0">
+				<port id="2" precision="FP32" names="739,740,hidden_states.105,input.93">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="815" name="Constant_73208_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="45441608" size="819200" />
+		<layer id="624" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="45182136" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -13160,7 +10416,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="816" name="Constant_73208" type="Convert" version="opset1">
+		<layer id="625" name="self.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -13172,13 +10428,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="817" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="626" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13192,36 +10448,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="818" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="627" name="Constant_190200_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="46001336" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="628" name="Constant_190200" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>640</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="629" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+				<port id="2" precision="FP32" names="743,745,attn_output.11,input.95">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
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 			</output>
 		</layer>
-		<layer id="819" name="/down_blocks.1/attentions.0/transformer_blocks.0/Add_1" type="Add" version="opset1">
+		<layer id="630" name="__module.down_blocks.1.attentions.0.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13236,22 +10522,22 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/Add_1_output_0">
+				<port id="2" precision="FP32" names="746,input.97">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
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 		</layer>
-		<layer id="820" name="Constant_3449" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="631" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="821" name="/down_blocks.1/attentions.0/transformer_blocks.0/norm3/Div" type="MVN" version="opset6">
+		<layer id="632" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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 				<port id="0" precision="FP32">
@@ -13259,20 +10545,20 @@
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/norm3/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="822" name="Constant_74980_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="46260808" size="1280" />
+		<layer id="633" name="Constant_190201_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="46002616" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -13281,7 +10567,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="823" name="Constant_74980" type="Convert" version="opset1">
+		<layer id="634" name="Constant_190201" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -13301,7 +10587,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="824" name="/down_blocks.1/attentions.0/transformer_blocks.0/norm3/Mul" type="Multiply" version="opset1">
+		<layer id="635" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13316,15 +10602,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/norm3/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
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 			</output>
 		</layer>
-		<layer id="825" name="Constant_74981_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="46262088" size="1280" />
+		<layer id="636" name="Constant_190202_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="46003896" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -13333,7 +10619,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="826" name="Constant_74981" type="Convert" version="opset1">
+		<layer id="637" name="Constant_190202" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -13353,7 +10639,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="827" name="/down_blocks.1/attentions.0/transformer_blocks.0/norm3/Add_1" type="Add" version="opset1">
+		<layer id="638" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13368,15 +10654,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/norm3/Add_1_output_0">
+				<port id="2" precision="FP32" names="750,input.99">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
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 		</layer>
-		<layer id="828" name="Constant_73216_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="5120, 640" offset="46263368" size="6553600" />
+		<layer id="639" name="self.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="5120, 640" offset="46005176" size="6553600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>5120</dim>
@@ -13384,7 +10670,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="829" name="Constant_73216" type="Convert" version="opset1">
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@@ -13396,13 +10682,13 @@
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 			</input>
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 					<dim>5120</dim>
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 		</layer>
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@@ -13416,349 +10702,226 @@
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 					<dim>1</dim>
 					<dim>1024</dim>
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 		</layer>
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-				<port id="0" precision="FP32">
+		<layer id="642" name="Constant_190203_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 5120" offset="52558776" size="10240" />
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 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>5120</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="643" name="Constant_190203" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
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 					<dim>1</dim>
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 					<dim>1</dim>
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 		</layer>
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+					<dim>1024</dim>
+					<dim>5120</dim>
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 		</layer>
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+		<layer id="645" name="553" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="9869316" size="8" />
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+				<port id="0" precision="I64" names="553" />
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="646" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
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+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="647" name="Constant_113189" type="Const" version="opset1">
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 					<dim>1</dim>
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 		</layer>
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+		<layer id="648" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
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-					<dim>1</dim>
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+				<port id="3" precision="I32" />
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 		</layer>
-		<layer id="843" name="Constant_64368" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="12970946" size="4" />
+		<layer id="649" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I32">
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+				<port id="0" precision="I32" />
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 		</layer>
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+		<layer id="650" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
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+				<port id="0" precision="I32" />
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+				<port id="2" precision="I32" />
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 		</layer>
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+				<port id="1" precision="I32" />
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 		</layer>
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+		<layer id="652" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
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 		</layer>
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-			<output>
-				<port id="0" precision="I64">
+		<layer id="653" name="Convert_194741" type="Convert" version="opset1">
+			<data destination_type="i32" />
+			<input>
+				<port id="0" precision="BOOL">
 					<dim>1</dim>
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-		<layer id="849" name="Constant_64439" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="12970946" size="4" />
+			</input>
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+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
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 		</layer>
-		<layer id="850" name="ScatterUpdate_64442" type="ScatterUpdate" version="opset3">
+		<layer id="654" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
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-				<port id="3" precision="I32">
+				<port id="0" precision="I32" />
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 					<dim>1</dim>
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-				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Constant_5_output_0">
+				<port id="2" precision="I32">
 					<dim>1</dim>
 				</port>
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 		</layer>
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+		<layer id="655" name="Constant_113190" type="Const" version="opset1">
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 				</port>
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-				<port id="2" precision="I64">
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 		</layer>
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+		<layer id="657" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
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 					<dim>1024</dim>
 					<dim>5120</dim>
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-					<dim>3</dim>
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-				<port id="3" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="I64" />
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 			<output>
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+				<port id="3" precision="FP32" names="760,hidden_states.109">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
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+				<port id="4" precision="FP32" names="761,gate.5">
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 					<dim>1024</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="857" name="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
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@@ -13768,14 +10931,14 @@
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 			<output>
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 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>2560</dim>
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 		</layer>
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 			<data auto_broadcast="numpy" />
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@@ -13790,15 +10953,15 @@
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-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+				<port id="2" precision="FP32" names="763,input.101">
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 					<dim>2560</dim>
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-		<layer id="859" name="Constant_73224_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 2560" offset="52816968" size="3276800" />
+		<layer id="660" name="self.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 2560" offset="52569016" size="3276800" />
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 				<port id="0" precision="FP16">
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@@ -13806,7 +10969,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="860" name="Constant_73224" type="Convert" version="opset1">
+		<layer id="661" name="self.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -13818,13 +10981,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight">
 					<dim>640</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="861" name="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+		<layer id="662" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -13838,36 +11001,66 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.2/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
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 		</layer>
-		<layer id="862" name="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="663" name="Constant_190204_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="55845816" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="664" name="Constant_190204" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
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 					<dim>1</dim>
 					<dim>640</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="665" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.2/Add_output_0">
+				<port id="2" precision="FP32" names="767,ff_output.5">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
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 			</output>
 		</layer>
-		<layer id="863" name="/down_blocks.1/attentions.0/transformer_blocks.0/Add_2" type="Add" version="opset1">
+		<layer id="666" name="__module.down_blocks.1.attentions.0.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -13882,23 +11075,95 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/Add_2_output_0">
+				<port id="2" precision="FP32" names="768,hidden_states.111">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
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-			<data element_type="i64" shape="4" offset="56093768" size="32" />
+		<layer id="667" name="ShapeOf_194638" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/Constant_1_output_0">
+				<port id="1" precision="I64">
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 				</port>
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 		</layer>
-		<layer id="865" name="/down_blocks.1/attentions.0/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="668" name="Constant_196615" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="13522464" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="669" name="Constant_196616" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="670" name="Gather_196617" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="671" name="__module.down_blocks.1.attentions.0/prim::ListConstruct/Reshape_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="55847096" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="672" name="__module.down_blocks.1.attentions.0/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="769">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="673" name="__module.down_blocks.1.attentions.0/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13910,7 +11175,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="770">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>32</dim>
@@ -13918,15 +11183,15 @@
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 			</output>
 		</layer>
-		<layer id="866" name="Constant_3631" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="13790206" size="32" />
+		<layer id="674" name="Constant_70825" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="13522496" size="32" />
 			<output>
-				<port id="0" precision="I64">
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 			</output>
 		</layer>
-		<layer id="867" name="/down_blocks.1/attentions.0/Transpose_1" type="Transpose" version="opset1">
+		<layer id="675" name="__module.down_blocks.1.attentions.0/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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@@ -13939,7 +11204,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="772">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -13947,8 +11212,8 @@
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 		</layer>
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-			<data element_type="f16" shape="640, 640, 1, 1" offset="56093800" size="819200" />
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+			<data element_type="f16" shape="640, 640, 1, 1" offset="55847104" size="819200" />
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 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -13958,7 +11223,7 @@
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 			</output>
 		</layer>
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+		<layer id="677" name="self.down_blocks.1.attentions.0.proj_out.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -13972,7 +11237,7 @@
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 			<output>
-				<port id="1" precision="FP32" names="down_blocks.1.attentions.0.proj_out.weight">
+				<port id="1" precision="FP32" names="self.down_blocks.1.attentions.0.proj_out.weight">
 					<dim>640</dim>
 					<dim>640</dim>
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@@ -13980,7 +11245,7 @@
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 			</output>
 		</layer>
-		<layer id="870" name="/down_blocks.1/attentions.0/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="678" name="__module.down_blocks.1.attentions.0.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
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@@ -14005,8 +11270,8 @@
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 		</layer>
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-			<data element_type="f16" shape="1, 640, 1, 1" offset="56913000" size="1280" />
+		<layer id="679" name="__module.down_blocks.1.attentions.0.proj_out/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="56666304" size="1280" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -14016,7 +11281,7 @@
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 			</output>
 		</layer>
-		<layer id="872" name="Reshape_3653" type="Convert" version="opset1">
+		<layer id="680" name="__module.down_blocks.1.attentions.0.proj_out/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -14038,7 +11303,7 @@
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 			</output>
 		</layer>
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+		<layer id="681" name="__module.down_blocks.1.attentions.0.proj_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/proj_out/Conv_output_0">
+				<port id="2" precision="FP32" names="780,hidden_states.115">
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 					<dim>640</dim>
 					<dim>32</dim>
@@ -14063,7 +11328,7 @@
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 			</output>
 		</layer>
-		<layer id="874" name="/down_blocks.1/attentions.0/Add" type="Add" version="opset1">
+		<layer id="682" name="__module.down_blocks.1.attentions.0/aten::add/Add" type="Add" version="opset1">
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@@ -14080,7 +11345,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/Add_output_0">
+				<port id="2" precision="FP32" names="49,781,input.105">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -14088,15 +11353,18 @@
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 		</layer>
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-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="683" name="__module.down_blocks.1.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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 			<output>
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+				<port id="0" precision="I32">
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 		</layer>
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+		<layer id="684" name="__module.down_blocks.1.resnets.1.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
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@@ -14105,27 +11373,27 @@
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 					<dim>32</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
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+				<port id="2" precision="FP32">
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 					<dim>32</dim>
 					<dim>20480</dim>
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-		<layer id="877" name="Constant_3691" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="685" name="__module.down_blocks.1.resnets.1.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
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 		</layer>
-		<layer id="878" name="MVN_3692" type="MVN" version="opset6">
+		<layer id="686" name="__module.down_blocks.1.resnets.1.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
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@@ -14133,20 +11401,20 @@
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 					<dim>20480</dim>
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-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/resnets.1/norm1/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
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 					<dim>32</dim>
 					<dim>20480</dim>
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 		</layer>
-		<layer id="879" name="/down_blocks.1/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="687" name="__module.down_blocks.1.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
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@@ -14156,12 +11424,12 @@
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 			<output>
-				<port id="1" precision="I64" names="/down_blocks.1/resnets.1/norm1/Shape_output_0">
+				<port id="1" precision="I32">
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 		</layer>
-		<layer id="880" name="/down_blocks.1/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+		<layer id="688" name="__module.down_blocks.1.resnets.1.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
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@@ -14169,12 +11437,12 @@
 					<dim>32</dim>
 					<dim>20480</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
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+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -14182,8 +11450,8 @@
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-			<data element_type="f16" shape="1, 640, 1, 1" offset="56914280" size="1280" />
+		<layer id="689" name="Constant_190205_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="56667584" size="1280" />
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 				<port id="0" precision="FP16">
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@@ -14193,7 +11461,7 @@
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 			</output>
 		</layer>
-		<layer id="882" name="Constant_74984" type="Convert" version="opset1">
+		<layer id="690" name="Constant_190205" type="Convert" version="opset1">
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@@ -14215,7 +11483,7 @@
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+				<port id="2" precision="FP32">
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@@ -14240,8 +11508,8 @@
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-			<data element_type="f16" shape="1, 640, 1, 1" offset="56915560" size="1280" />
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@@ -14251,7 +11519,7 @@
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-		<layer id="885" name="Constant_74985" type="Convert" version="opset1">
+		<layer id="693" name="Constant_190206" type="Convert" version="opset1">
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@@ -14273,7 +11541,7 @@
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@@ -14290,7 +11558,7 @@
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+				<port id="2" precision="FP32" names="790,input.107">
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@@ -14298,7 +11566,7 @@
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 				<port id="0" precision="FP32">
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@@ -14308,7 +11576,7 @@
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@@ -14316,8 +11584,8 @@
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+			<data element_type="f16" shape="640, 640, 3, 3" offset="56670144" size="7372800" />
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@@ -14327,7 +11595,7 @@
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@@ -14341,7 +11609,7 @@
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 					<dim>640</dim>
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@@ -14349,7 +11617,7 @@
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-		<layer id="890" name="/down_blocks.1/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
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 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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@@ -14374,8 +11642,8 @@
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-			<data element_type="f16" shape="1, 640, 1, 1" offset="64289640" size="1280" />
+		<layer id="699" name="__module.down_blocks.1.resnets.1.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="64042944" size="1280" />
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@@ -14385,7 +11653,7 @@
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-		<layer id="892" name="Reshape_3816" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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@@ -14407,7 +11675,7 @@
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@@ -14424,7 +11692,7 @@
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+				<port id="2" precision="FP32" names="798,hidden_states.119">
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 					<dim>640</dim>
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@@ -14432,8 +11700,8 @@
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-			<data element_type="f16" shape="640, 1280" offset="64290920" size="1638400" />
+		<layer id="702" name="self.down_blocks.1.resnets.1.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1280" offset="64044224" size="1638400" />
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 				<port id="0" precision="FP16">
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@@ -14441,7 +11709,7 @@
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+		<layer id="703" name="self.down_blocks.1.resnets.1.time_emb_proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -14453,13 +11721,13 @@
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-				<port id="1" precision="FP32" names="down_blocks.1.resnets.1.time_emb_proj.weight">
+				<port id="1" precision="FP32" names="self.down_blocks.1.resnets.1.time_emb_proj.weight">
 					<dim>640</dim>
 					<dim>1280</dim>
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 		</layer>
-		<layer id="896" name="/down_blocks.1/resnets.1/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+		<layer id="704" name="__module.down_blocks.1.resnets.1.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
@@ -14478,8 +11746,8 @@
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 		</layer>
-		<layer id="897" name="Constant_74986_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 640" offset="65929320" size="1280" />
+		<layer id="705" name="Constant_190207_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640" offset="65682624" size="1280" />
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@@ -14487,7 +11755,7 @@
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 		</layer>
-		<layer id="898" name="Constant_74986" type="Convert" version="opset1">
+		<layer id="706" name="Constant_190207" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -14505,7 +11773,7 @@
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 		</layer>
-		<layer id="899" name="/down_blocks.1/resnets.1/time_emb_proj/Gemm" type="Add" version="opset1">
+		<layer id="707" name="__module.down_blocks.1.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -14518,59 +11786,39 @@
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/resnets.1/time_emb_proj/Gemm_output_0">
+				<port id="2" precision="FP32" names="802,803,804">
 					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="901" name="/down_blocks.1/resnets.1/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="708" name="__module.down_blocks.1.resnets.1/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>640</dim>
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-				<port id="1" precision="I64">
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-				<port id="2" precision="FP32" names="/down_blocks.1/resnets.1/Unsqueeze_output_0">
+				<port id="2" precision="FP32" names="805">
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 					<dim>640</dim>
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-		</layer>
-		<layer id="903" name="/down_blocks.1/resnets.1/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="709" name="__module.down_blocks.1.resnets.1/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>1</dim>
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-				<port id="1" precision="I64">
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+				<port id="2" precision="FP32" names="806,temb.7">
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 					<dim>640</dim>
 					<dim>1</dim>
@@ -14578,7 +11826,7 @@
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 			</output>
 		</layer>
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@@ -14595,7 +11843,7 @@
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 			</input>
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+				<port id="2" precision="FP32" names="807,input.111">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -14603,15 +11851,18 @@
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+		<layer id="711" name="__module.down_blocks.1.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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@@ -14620,27 +11871,27 @@
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 					<dim>32</dim>
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-				<port id="1" precision="I64">
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 					<dim>20480</dim>
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-		<layer id="907" name="Constant_3864" type="Const" version="opset1">
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+		<layer id="713" name="__module.down_blocks.1.resnets.1.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
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-		<layer id="908" name="MVN_3865" type="MVN" version="opset6">
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 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -14648,20 +11899,20 @@
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-				<port id="1" precision="I64">
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 					<dim>32</dim>
 					<dim>20480</dim>
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 		</layer>
-		<layer id="909" name="/down_blocks.1/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
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+		<layer id="715" name="__module.down_blocks.1.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
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 				<port id="0" precision="FP32">
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@@ -14671,12 +11922,12 @@
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 			<output>
-				<port id="1" precision="I64" names="/down_blocks.1/resnets.1/norm2/Shape_output_0">
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 			<data special_zero="true" />
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@@ -14684,12 +11935,12 @@
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 					<dim>20480</dim>
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-				<port id="1" precision="I64">
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+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>640</dim>
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@@ -14697,8 +11948,8 @@
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 				<port id="0" precision="FP16">
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@@ -14708,7 +11959,7 @@
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-		<layer id="912" name="Constant_74987" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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@@ -14730,7 +11981,7 @@
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@@ -14747,7 +11998,7 @@
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+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -14755,8 +12006,8 @@
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+		<layer id="720" name="Constant_190209_compressed" type="Const" version="opset1">
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@@ -14766,7 +12017,7 @@
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@@ -14831,8 +12082,8 @@
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@@ -14864,7 +12115,7 @@
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@@ -14900,7 +12151,7 @@
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@@ -14989,27 +12243,27 @@
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@@ -15017,20 +12271,20 @@
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@@ -15040,12 +12294,12 @@
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@@ -15053,12 +12307,12 @@
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@@ -15066,8 +12320,8 @@
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@@ -15077,7 +12331,7 @@
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@@ -15099,7 +12353,7 @@
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@@ -15124,8 +12378,8 @@
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@@ -15135,7 +12389,7 @@
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@@ -15157,7 +12411,7 @@
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 					<dim>640</dim>
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@@ -15182,8 +12436,8 @@
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@@ -15193,7 +12447,7 @@
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@@ -15215,7 +12469,7 @@
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@@ -15251,7 +12505,7 @@
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@@ -15273,7 +12527,7 @@
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 					<dim>640</dim>
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@@ -15298,15 +12552,15 @@
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@@ -15327,15 +12581,18 @@
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-			<data element_type="i64" shape="3" offset="39374238" size="24" />
+		<layer id="751" name="Constant_196294" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39113568" size="24" />
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+		<layer id="753" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
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+		<layer id="754" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
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@@ -15372,20 +12629,20 @@
 					<dim>1024</dim>
 					<dim>640</dim>
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-				<port id="1" precision="I64">
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 			<output>
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 					<dim>1024</dim>
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-			<data element_type="f16" shape="1, 1, 640" offset="74130280" size="1280" />
+		<layer id="755" name="Constant_190212_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="73883584" size="1280" />
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@@ -15394,7 +12651,7 @@
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 		</layer>
-		<layer id="950" name="Constant_74991" type="Convert" version="opset1">
+		<layer id="756" name="Constant_190212" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -15414,7 +12671,7 @@
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 		</layer>
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+		<layer id="757" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
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@@ -15429,15 +12686,15 @@
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 			<output>
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+				<port id="2" precision="FP32">
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 					<dim>1024</dim>
 					<dim>640</dim>
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-		<layer id="952" name="Constant_74992_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="74131560" size="1280" />
+		<layer id="758" name="Constant_190213_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="73884864" size="1280" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -15446,7 +12703,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="953" name="Constant_74992" type="Convert" version="opset1">
+		<layer id="759" name="Constant_190213" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -15466,7 +12723,7 @@
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 		</layer>
-		<layer id="954" name="/down_blocks.1/attentions.1/transformer_blocks.0/norm1/Add_1" type="Add" version="opset1">
+		<layer id="760" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -15481,15 +12738,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/norm1/Add_1_output_0">
+				<port id="2" precision="FP32" names="858,hidden_states.133">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
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 		</layer>
-		<layer id="955" name="Constant_73234_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="74132840" size="819200" />
+		<layer id="761" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="73886144" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -15497,7 +12754,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="956" name="Constant_73234" type="Convert" version="opset1">
+		<layer id="762" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -15509,13 +12766,13 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="957" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+		<layer id="763" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -15529,157 +12786,25 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+				<port id="2" precision="FP32" names="866,query.25">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
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 		</layer>
-		<layer id="958" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
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-					<dim>4</dim>
-				</port>
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-		</layer>
-		<layer id="959" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
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-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1024</dim>
-					<dim>640</dim>
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-				<port id="1" precision="I64">
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-					<dim>1024</dim>
-					<dim>8</dim>
-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="960" name="Constant_4212" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
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-		</layer>
-		<layer id="961" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1024</dim>
-					<dim>8</dim>
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-				<port id="1" precision="I64">
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-			<output>
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-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
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-		<layer id="962" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
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-			</output>
-		</layer>
-		<layer id="963" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
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-				<port id="1" precision="I64">
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-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="964" name="Constant_73241_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="74952040" size="819200" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>640</dim>
-					<dim>640</dim>
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-			</output>
-		</layer>
-		<layer id="965" name="Constant_73241" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="764" name="Constant_196295" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="39935352" size="32" />
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="precise" version="0" />
 			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>640</dim>
-					<dim>640</dim>
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 			<output>
-				<port id="1" precision="FP32">
-					<dim>640</dim>
-					<dim>640</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="966" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1024</dim>
-					<dim>640</dim>
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-				<port id="1" precision="FP32">
-					<dim>640</dim>
-					<dim>640</dim>
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-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/to_k/MatMul_output_0">
-					<dim>1</dim>
-					<dim>1024</dim>
-					<dim>640</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="967" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="40196022" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="968" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+		<layer id="765" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15692,7 +12817,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="878">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -15700,15 +12825,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="969" name="Constant_4228" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="766" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="970" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+		<layer id="767" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -15716,141 +12841,21 @@
 					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_1_output_0">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
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-		<layer id="971" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="40196054" size="24" />
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-				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_3_output_0">
-					<dim>3</dim>
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-		</layer>
-		<layer id="972" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
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-					<dim>1024</dim>
-					<dim>80</dim>
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-				<port id="1" precision="I64">
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-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
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-		<layer id="973" name="Constant_74993_compressed" type="Const" version="opset1">
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-		<layer id="974" name="Constant_74993" type="Convert" version="opset1">
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-			<rt_info>
-				<attribute name="decompression" version="0" />
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="879,query.27">
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-		<layer id="975" name="Multiply_74239" type="Multiply" version="opset1">
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-					<dim>1024</dim>
-					<dim>80</dim>
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-		<layer id="976" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul" type="MatMul" version="opset1">
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 					<dim>1024</dim>
 					<dim>80</dim>
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-					<dim>8</dim>
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-					<dim>1024</dim>
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 			</output>
 		</layer>
-		<layer id="977" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
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-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>1024</dim>
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-		<layer id="978" name="Constant_73248_compressed" type="Const" version="opset1">
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+		<layer id="768" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="74705344" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -15858,7 +12863,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="979" name="Constant_73248" type="Convert" version="opset1">
+		<layer id="769" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -15870,13 +12875,13 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="980" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="770" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
@@ -15890,22 +12895,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="868,key.25">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="981" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="40196022" size="32" />
+		<layer id="771" name="Constant_196296" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="39935352" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="982" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_4" type="Reshape" version="opset1">
+		<layer id="772" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15918,7 +12926,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="881">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -15926,15 +12934,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="983" name="Constant_4244" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="773" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="984" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+		<layer id="774" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -15942,12 +12950,12 @@
 					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="882,key.27">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
@@ -15955,79 +12963,108 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="985" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="40196054" size="24" />
+		<layer id="775" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="75524544" size="819200" />
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_5_output_0">
-					<dim>3</dim>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="986" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="776" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="777" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>8</dim>
 					<dim>1024</dim>
-					<dim>80</dim>
+					<dim>640</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_5_output_0">
-					<dim>8</dim>
+				<port id="2" precision="FP32" names="870,value.25">
+					<dim>1</dim>
 					<dim>1024</dim>
-					<dim>80</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="778" name="Constant_196297" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="39935352" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="987" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
+		<layer id="779" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
+					<dim>1</dim>
 					<dim>1024</dim>
+					<dim>640</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/MatMul_1_output_0">
-					<dim>8</dim>
+				<port id="2" precision="FP32" names="884">
+					<dim>1</dim>
 					<dim>1024</dim>
+					<dim>8</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="988" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="41834480" size="32" />
+		<layer id="780" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_7_output_0">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="989" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="781" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>8</dim>
+					<dim>1</dim>
 					<dim>1024</dim>
+					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_6_output_0">
+				<port id="2" precision="FP32" names="885,value.27">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
@@ -16035,15 +13072,46 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="990" name="Constant_4267" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="782" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="3" precision="FP32" names="886,hidden_states.135">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="783" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
+			<output>
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="991" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_4" type="Transpose" version="opset1">
+		<layer id="784" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -16051,12 +13119,12 @@
 					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="887">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -16064,15 +13132,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="992" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39374238" size="24" />
+		<layer id="785" name="Constant_196298" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="41573784" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_8_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="993" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_7" type="Reshape" version="opset1">
+		<layer id="786" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16086,15 +13157,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_7_output_0">
+				<port id="2" precision="FP32" names="891,892,hidden_states.137,input.117">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="994" name="Constant_73255_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="76590440" size="819200" />
+		<layer id="787" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="76343744" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -16102,7 +13173,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="995" name="Constant_73255" type="Convert" version="opset1">
+		<layer id="788" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -16114,13 +13185,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_out.0.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="996" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="789" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16134,36 +13205,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="997" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="790" name="Constant_190214_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="77162944" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="791" name="Constant_190214" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>640</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="792" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+				<port id="2" precision="FP32" names="895,897,attn_output.13,input.119">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="998" name="/down_blocks.1/attentions.1/transformer_blocks.0/Add" type="Add" version="opset1">
+		<layer id="793" name="__module.down_blocks.1.attentions.1.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16178,22 +13279,22 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/Add_output_0">
+				<port id="2" precision="FP32" names="898,input.121">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="999" name="Constant_4279" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="794" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1000" name="/down_blocks.1/attentions.1/transformer_blocks.0/norm2/Div" type="MVN" version="opset6">
+		<layer id="795" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -16201,20 +13302,20 @@
 					<dim>1024</dim>
 					<dim>640</dim>
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-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/norm2/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
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-		<layer id="1001" name="Constant_74995_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="77409640" size="1280" />
+		<layer id="796" name="Constant_190215_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="77164224" size="1280" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -16223,7 +13324,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1002" name="Constant_74995" type="Convert" version="opset1">
+		<layer id="797" name="Constant_190215" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -16243,7 +13344,7 @@
 				</port>
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 		</layer>
-		<layer id="1003" name="/down_blocks.1/attentions.1/transformer_blocks.0/norm2/Mul" type="Multiply" version="opset1">
+		<layer id="798" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -16258,15 +13359,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/norm2/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
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 		</layer>
-		<layer id="1004" name="Constant_74996_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="77410920" size="1280" />
+		<layer id="799" name="Constant_190216_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="77165504" size="1280" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -16275,7 +13376,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1005" name="Constant_74996" type="Convert" version="opset1">
+		<layer id="800" name="Constant_190216" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -16295,7 +13396,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1006" name="/down_blocks.1/attentions.1/transformer_blocks.0/norm2/Add_1" type="Add" version="opset1">
+		<layer id="801" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16310,15 +13411,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/norm2/Add_1_output_0">
+				<port id="2" precision="FP32" names="902,input.123">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
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 		</layer>
-		<layer id="1007" name="Constant_73263_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="77412200" size="819200" />
+		<layer id="802" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_q.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="77166784" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -16326,7 +13427,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1008" name="Constant_73263" type="Convert" version="opset1">
+		<layer id="803" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_q.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -16338,13 +13439,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_q.weight">
 					<dim>640</dim>
 					<dim>640</dim>
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 			</output>
 		</layer>
-		<layer id="1009" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
+		<layer id="804" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -16358,23 +13459,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+				<port id="2" precision="FP32" names="910,query.29">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1010" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="40196022" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1011" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="805" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -16386,7 +13479,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_output_0">
+				<port id="2" precision="FP32" names="922">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -16394,15 +13487,15 @@
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 			</output>
 		</layer>
-		<layer id="1012" name="Constant_4302" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="806" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1013" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+		<layer id="807" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -16410,50 +13503,21 @@
 					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_output_0">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1014" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="40196054" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_1_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1015" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="923,query.31">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_1_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="1016" name="Constant_73270_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 768" offset="78231400" size="983040" />
+		<layer id="808" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 768" offset="77985984" size="983040" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -16461,7 +13525,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1017" name="Constant_73270" type="Convert" version="opset1">
+		<layer id="809" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -16473,13 +13537,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_k.weight">
 					<dim>640</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1018" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="810" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16493,22 +13557,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="912,key.29">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1019" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="44458512" size="32" />
+		<layer id="811" name="Constant_196299" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="39935352" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1020" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+		<layer id="812" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16521,7 +13588,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="925">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -16529,15 +13596,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1021" name="Constant_4318" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="813" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1022" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+		<layer id="814" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -16545,141 +13612,21 @@
 					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_1_output_0">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1023" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="44458544" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_3_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1024" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="926,key.31">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_3_output_0">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
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 			</output>
 		</layer>
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-				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>1</dim>
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-		<layer id="1026" name="Constant_74997" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>1</dim>
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-					<dim>1</dim>
-					<dim>1</dim>
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-		</layer>
-		<layer id="1027" name="Multiply_74241" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
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-				<port id="1" precision="FP32">
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-					<dim>1</dim>
-					<dim>1</dim>
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-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
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-		</layer>
-		<layer id="1028" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul" type="MatMul" version="opset1">
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-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
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-				<port id="1" precision="FP32">
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-					<dim>77</dim>
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-			<output>
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-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>77</dim>
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-		<layer id="1029" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
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-				<port id="0" precision="FP32">
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-					<dim>1024</dim>
-					<dim>77</dim>
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-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>77</dim>
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-			<data element_type="f16" shape="640, 768" offset="79214440" size="983040" />
+		<layer id="815" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 768" offset="78969024" size="983040" />
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 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -16687,7 +13634,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1031" name="Constant_73277" type="Convert" version="opset1">
+		<layer id="816" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -16699,13 +13646,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v.weight">
 					<dim>640</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1032" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="817" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
@@ -16719,22 +13666,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="914,value.29">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1033" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="44458512" size="32" />
+		<layer id="818" name="Constant_196300" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="39935352" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1034" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_4" type="Reshape" version="opset1">
+		<layer id="819" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16747,7 +13697,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="928">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -16755,15 +13705,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1035" name="Constant_4334" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="820" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1036" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+		<layer id="821" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -16771,12 +13721,12 @@
 					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="929,value.31">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
@@ -16784,79 +13734,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1037" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="44458544" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_5_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1038" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="822" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_5_output_0">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1039" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
 					<dim>8</dim>
 					<dim>1024</dim>
-					<dim>77</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/MatMul_1_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1040" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="41834480" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_7_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1041" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
-					<dim>1024</dim>
+					<dim>77</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_6_output_0">
+				<port id="3" precision="FP32" names="930,hidden_states.141">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
@@ -16864,15 +13765,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1042" name="Constant_4357" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="823" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1043" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_4" type="Transpose" version="opset1">
+		<layer id="824" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -16880,12 +13781,12 @@
 					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="931">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -16893,15 +13794,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1044" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39374238" size="24" />
+		<layer id="825" name="Constant_196301" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="41573784" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_8_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1045" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_7" type="Reshape" version="opset1">
+		<layer id="826" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16915,15 +13819,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_7_output_0">
+				<port id="2" precision="FP32" names="935,936,hidden_states.143,input.125">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1046" name="Constant_73284_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="80197480" size="819200" />
+		<layer id="827" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="79952064" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -16931,7 +13835,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1047" name="Constant_73284" type="Convert" version="opset1">
+		<layer id="828" name="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -16943,13 +13847,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1048" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="829" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16963,36 +13867,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1049" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="830" name="Constant_190217_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="80771264" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="831" name="Constant_190217" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>640</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="832" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+				<port id="2" precision="FP32" names="939,941,attn_output.15,input.127">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1050" name="/down_blocks.1/attentions.1/transformer_blocks.0/Add_1" type="Add" version="opset1">
+		<layer id="833" name="__module.down_blocks.1.attentions.1.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17007,22 +13941,22 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/Add_1_output_0">
+				<port id="2" precision="FP32" names="942,input.129">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1051" name="Constant_4369" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="834" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1052" name="/down_blocks.1/attentions.1/transformer_blocks.0/norm3/Div" type="MVN" version="opset6">
+		<layer id="835" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17030,20 +13964,20 @@
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/norm3/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1053" name="Constant_74999_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="81016680" size="1280" />
+		<layer id="836" name="Constant_190218_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="80772544" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -17052,7 +13986,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1054" name="Constant_74999" type="Convert" version="opset1">
+		<layer id="837" name="Constant_190218" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -17072,7 +14006,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1055" name="/down_blocks.1/attentions.1/transformer_blocks.0/norm3/Mul" type="Multiply" version="opset1">
+		<layer id="838" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17087,15 +14021,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/norm3/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1056" name="Constant_75000_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="81017960" size="1280" />
+		<layer id="839" name="Constant_190219_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="80773824" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -17104,7 +14038,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1057" name="Constant_75000" type="Convert" version="opset1">
+		<layer id="840" name="Constant_190219" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -17124,7 +14058,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1058" name="/down_blocks.1/attentions.1/transformer_blocks.0/norm3/Add_1" type="Add" version="opset1">
+		<layer id="841" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -17139,15 +14073,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/norm3/Add_1_output_0">
+				<port id="2" precision="FP32" names="946,input.131">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1059" name="Constant_73292_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="5120, 640" offset="81019240" size="6553600" />
+		<layer id="842" name="self.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="5120, 640" offset="80775104" size="6553600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>5120</dim>
@@ -17155,7 +14089,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1060" name="Constant_73292" type="Convert" version="opset1">
+		<layer id="843" name="self.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -17167,13 +14101,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.weight">
 					<dim>5120</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1061" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/proj/MatMul" type="MatMul" version="opset1">
+		<layer id="844" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17187,61 +14121,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/proj/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1062" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/proj/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
+		<layer id="845" name="Constant_190220_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 5120" offset="87328704" size="10240" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>5120</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="846" name="Constant_190220" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>1024</dim>
 					<dim>5120</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/proj/Add_output_0">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>1024</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1063" name="Constant_64573" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+		<layer id="847" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
 				</port>
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-		</layer>
-		<layer id="1064" name="Constant_64574" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="12970914" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>5120</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="1065" name="Constant_64570" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="2" precision="FP32" names="954">
 					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1066" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="848" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -17250,286 +14190,145 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1067" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="849" name="Constant_113203" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="12702620" size="4" />
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1068" name="Constant_4386" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="12970938" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="1069" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Gather" type="Gather" version="opset8">
+		<layer id="850" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
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-			</output>
-		</layer>
-		<layer id="1070" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Constant_2" type="Const" version="opset1">
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-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
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-			<data auto_broadcast="numpy" />
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-				<port id="0" precision="I64">
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-			</output>
-		</layer>
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-			<data element_type="i64" shape="1" offset="298264" size="8" />
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-				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Constant_3_output_0">
-					<dim>1</dim>
-				</port>
+				<port id="3" precision="I32" />
 			</output>
 		</layer>
-		<layer id="1073" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Div" type="Divide" version="opset1">
+		<layer id="851" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
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-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
 			</input>
 			<output>
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-					<dim>1</dim>
-				</port>
+				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="1074" name="Constant_64569" type="Const" version="opset1">
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-			</output>
-		</layer>
-		<layer id="1075" name="ScatterUpdate_64575" type="ScatterUpdate" version="opset3">
+		<layer id="852" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
+			<data auto_broadcast="numpy" />
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-				<port id="3" precision="I32">
-					<dim>1</dim>
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+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
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 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="2" precision="I32" />
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="853" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
+			<data auto_broadcast="numpy" />
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-				<port id="0" precision="FP32">
+				<port id="0" precision="I32" />
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 			</input>
 			<output>
-				<port id="4" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Slice_output_0">
+				<port id="2" precision="BOOL">
 					<dim>1</dim>
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-			<data element_type="i64" shape="1" offset="298264" size="8" />
-			<output>
-				<port id="0" precision="I64">
+		<layer id="854" name="Convert_194860" type="Convert" version="opset1">
+			<data destination_type="i32" />
+			<input>
+				<port id="0" precision="BOOL">
 					<dim>1</dim>
 				</port>
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-		<layer id="1080" name="Constant_64640" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="12970946" size="4" />
+			</input>
 			<output>
-				<port id="0" precision="I32">
+				<port id="1" precision="I32">
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 				</port>
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 		</layer>
-		<layer id="1081" name="ScatterUpdate_64643" type="ScatterUpdate" version="opset3">
+		<layer id="855" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
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-				<port id="2" precision="I64">
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-				<port id="3" precision="I32">
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-				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Constant_5_output_0">
+				<port id="2" precision="I32">
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Mul_1_output_0">
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-				<port id="0" precision="I64">
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-				<port id="3" precision="I64">
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+					<dim>1</dim>
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+					<dim>2560</dim>
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+				<port id="4" precision="FP32" names="957,gate.7">
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 					<dim>1024</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="1088" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+		<layer id="859" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
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 				<port id="0" precision="FP32">
@@ -17539,14 +14338,14 @@
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 			<output>
-				<port id="1" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+				<port id="1" precision="FP32" names="958">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="1089" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+		<layer id="860" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17561,15 +14360,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+				<port id="2" precision="FP32" names="959,input.133">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="1090" name="Constant_73300_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 2560" offset="87572840" size="3276800" />
+		<layer id="861" name="self.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 2560" offset="87338944" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -17577,7 +14376,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1091" name="Constant_73300" type="Convert" version="opset1">
+		<layer id="862" name="self.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -17589,13 +14388,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.2.weight">
 					<dim>640</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="1092" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+		<layer id="863" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17609,36 +14408,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.2/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="864" name="Constant_190221_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="90615744" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="865" name="Constant_190221" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>640</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="866" name="__module.down_blocks.1.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.2/Add_output_0">
+				<port id="2" precision="FP32" names="963,ff_output.7">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1094" name="/down_blocks.1/attentions.1/transformer_blocks.0/Add_2" type="Add" version="opset1">
+		<layer id="867" name="__module.down_blocks.1.attentions.1.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17653,23 +14482,95 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/Add_2_output_0">
+				<port id="2" precision="FP32" names="964,hidden_states.149">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1095" name="/down_blocks.1/attentions.1/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="56093768" size="32" />
+		<layer id="868" name="ShapeOf_194757" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/Constant_1_output_0">
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1096" name="/down_blocks.1/attentions.1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="869" name="Constant_196624" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="13522464" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="870" name="Constant_196625" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="871" name="Gather_196626" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="872" name="__module.down_blocks.1.attentions.1/prim::ListConstruct/Reshape_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="55847096" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="873" name="__module.down_blocks.1.attentions.1/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="965">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="874" name="__module.down_blocks.1.attentions.1/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -17681,7 +14582,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="966">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>32</dim>
@@ -17689,15 +14590,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1097" name="Constant_4551" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="13790206" size="32" />
+		<layer id="875" name="Constant_72038" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="13522496" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="967">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1098" name="/down_blocks.1/attentions.1/Transpose_1" type="Transpose" version="opset1">
+		<layer id="876" name="__module.down_blocks.1.attentions.1/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -17710,7 +14611,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="968">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -17718,8 +14619,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1099" name="down_blocks.1.attentions.1.proj_out.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640, 1, 1" offset="90849640" size="819200" />
+		<layer id="877" name="self.down_blocks.1.attentions.1.proj_out.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640, 1, 1" offset="90617024" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -17729,7 +14630,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1100" name="down_blocks.1.attentions.1.proj_out.weight" type="Convert" version="opset1">
+		<layer id="878" name="self.down_blocks.1.attentions.1.proj_out.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -17743,7 +14644,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="down_blocks.1.attentions.1.proj_out.weight">
+				<port id="1" precision="FP32" names="self.down_blocks.1.attentions.1.proj_out.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -17751,7 +14652,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1101" name="/down_blocks.1/attentions.1/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="879" name="__module.down_blocks.1.attentions.1.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17776,8 +14677,8 @@
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 			</output>
 		</layer>
-		<layer id="1102" name="Reshape_4573_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 640, 1, 1" offset="91668840" size="1280" />
+		<layer id="880" name="__module.down_blocks.1.attentions.1.proj_out/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="91436224" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -17787,7 +14688,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1103" name="Reshape_4573" type="Convert" version="opset1">
+		<layer id="881" name="__module.down_blocks.1.attentions.1.proj_out/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -17809,7 +14710,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1104" name="/down_blocks.1/attentions.1/proj_out/Conv" type="Add" version="opset1">
+		<layer id="882" name="__module.down_blocks.1.attentions.1.proj_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17826,7 +14727,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/proj_out/Conv_output_0">
+				<port id="2" precision="FP32" names="976,hidden_states.153">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -17834,7 +14735,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1105" name="/down_blocks.1/attentions.1/Add" type="Add" version="opset1">
+		<layer id="883" name="__module.down_blocks.1.attentions.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17851,7 +14752,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/Add_output_0">
+				<port id="2" precision="FP32" names="48,977,hidden_states.155">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -17859,8 +14760,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1106" name="down_blocks.1.downsamplers.0.conv.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640, 3, 3" offset="91670120" size="7372800" />
+		<layer id="884" name="self.down_blocks.1.downsamplers.0.conv.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640, 3, 3" offset="91437504" size="7372800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -17870,7 +14771,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1107" name="down_blocks.1.downsamplers.0.conv.weight" type="Convert" version="opset1">
+		<layer id="885" name="self.down_blocks.1.downsamplers.0.conv.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -17884,7 +14785,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="down_blocks.1.downsamplers.0.conv.weight">
+				<port id="1" precision="FP32" names="self.down_blocks.1.downsamplers.0.conv.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
@@ -17892,7 +14793,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1108" name="/down_blocks.1/downsamplers.0/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="886" name="__module.down_blocks.1.downsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17917,8 +14818,8 @@
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 			</output>
 		</layer>
-		<layer id="1109" name="Reshape_4622_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 640, 1, 1" offset="99042920" size="1280" />
+		<layer id="887" name="__module.down_blocks.1.downsamplers.0.conv/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="98810304" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -17928,7 +14829,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1110" name="Reshape_4622" type="Convert" version="opset1">
+		<layer id="888" name="__module.down_blocks.1.downsamplers.0.conv/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -17950,7 +14851,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1111" name="/down_blocks.1/downsamplers.0/conv/Conv" type="Add" version="opset1">
+		<layer id="889" name="__module.down_blocks.1.downsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17967,7 +14868,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.1/downsamplers.0/conv/Conv_output_0">
+				<port id="2" precision="FP32" names="47,985,input.137">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>16</dim>
@@ -17975,8 +14876,8 @@
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 		</layer>
-		<layer id="1112" name="down_blocks.2.resnets.0.conv_shortcut.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 640, 1, 1" offset="99044200" size="1638400" />
+		<layer id="890" name="self.down_blocks.2.resnets.0.conv_shortcut.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 640, 1, 1" offset="98811584" size="1638400" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -17986,7 +14887,7 @@
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 		</layer>
-		<layer id="1113" name="down_blocks.2.resnets.0.conv_shortcut.weight" type="Convert" version="opset1">
+		<layer id="891" name="self.down_blocks.2.resnets.0.conv_shortcut.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -18000,7 +14901,7 @@
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-				<port id="1" precision="FP32" names="down_blocks.2.resnets.0.conv_shortcut.weight">
+				<port id="1" precision="FP32" names="self.down_blocks.2.resnets.0.conv_shortcut.weight">
 					<dim>1280</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -18008,7 +14909,7 @@
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 			</output>
 		</layer>
-		<layer id="1114" name="/down_blocks.2/resnets.0/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="892" name="__module.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18033,8 +14934,8 @@
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-		<layer id="1115" name="Reshape_5005_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="100682600" size="2560" />
+		<layer id="893" name="__module.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="100449984" size="2560" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -18044,7 +14945,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1116" name="Reshape_5005" type="Convert" version="opset1">
+		<layer id="894" name="__module.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -18066,7 +14967,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1117" name="/down_blocks.2/resnets.0/conv_shortcut/Conv" type="Add" version="opset1">
+		<layer id="895" name="__module.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18083,7 +14984,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/conv_shortcut/Conv_output_0">
+				<port id="2" precision="FP32" names="1061,input_tensor.3">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -18091,15 +14992,18 @@
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 		</layer>
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-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="896" name="__module.down_blocks.2.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
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+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="1119" name="/down_blocks.2/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+		<layer id="897" name="__module.down_blocks.2.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
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@@ -18108,27 +15012,27 @@
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 					<dim>16</dim>
 				</port>
-				<port id="1" precision="I64">
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 			</input>
 			<output>
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+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>5120</dim>
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 			</output>
 		</layer>
-		<layer id="1120" name="Constant_4659" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="898" name="__module.down_blocks.2.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 				</port>
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 		</layer>
-		<layer id="1121" name="MVN_4660" type="MVN" version="opset6">
+		<layer id="899" name="__module.down_blocks.2.resnets.0.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18136,20 +15040,20 @@
 					<dim>32</dim>
 					<dim>5120</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/norm1/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1122" name="/down_blocks.2/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="900" name="__module.down_blocks.2.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -18159,12 +15063,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/down_blocks.2/resnets.0/norm1/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1123" name="/down_blocks.2/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+		<layer id="901" name="__module.down_blocks.2.resnets.0.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18172,12 +15076,12 @@
 					<dim>32</dim>
 					<dim>5120</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/norm1/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>16</dim>
@@ -18185,8 +15089,8 @@
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 			</output>
 		</layer>
-		<layer id="1124" name="Constant_75003_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 640, 1, 1" offset="100685160" size="1280" />
+		<layer id="902" name="Constant_190222_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="100452544" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -18196,7 +15100,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1125" name="Constant_75003" type="Convert" version="opset1">
+		<layer id="903" name="Constant_190222" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -18218,7 +15122,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1126" name="/down_blocks.2/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+		<layer id="904" name="__module.down_blocks.2.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18235,7 +15139,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/norm1/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>16</dim>
@@ -18243,8 +15147,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1127" name="Constant_75004_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 640, 1, 1" offset="100686440" size="1280" />
+		<layer id="905" name="Constant_190223_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="100453824" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -18254,7 +15158,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1128" name="Constant_75004" type="Convert" version="opset1">
+		<layer id="906" name="Constant_190223" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -18276,7 +15180,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1129" name="/down_blocks.2/resnets.0/norm1/Add" type="Add" version="opset1">
+		<layer id="907" name="__module.down_blocks.2.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18293,7 +15197,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/norm1/Add_output_0">
+				<port id="2" precision="FP32" names="1025,input.139">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>16</dim>
@@ -18301,7 +15205,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1130" name="/down_blocks.2/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="908" name="__module.conv_act/aten::silu/Swish_13" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -18311,7 +15215,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/down_blocks.2/resnets.0/nonlinearity/Mul_output_0">
+				<port id="1" precision="FP32" names="1026,hidden_states.157">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>16</dim>
@@ -18319,8 +15223,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1131" name="down_blocks.2.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 640, 3, 3" offset="100687720" size="14745600" />
+		<layer id="909" name="self.down_blocks.2.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 640, 3, 3" offset="100455104" size="14745600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -18330,7 +15234,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1132" name="down_blocks.2.resnets.0.conv1.weight" type="Convert" version="opset1">
+		<layer id="910" name="self.down_blocks.2.resnets.0.conv1.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -18344,7 +15248,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="down_blocks.2.resnets.0.conv1.weight">
+				<port id="1" precision="FP32" names="self.down_blocks.2.resnets.0.conv1.weight">
 					<dim>1280</dim>
 					<dim>640</dim>
 					<dim>3</dim>
@@ -18352,7 +15256,7 @@
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 			</output>
 		</layer>
-		<layer id="1133" name="/down_blocks.2/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="911" name="__module.down_blocks.2.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18377,8 +15281,8 @@
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 		</layer>
-		<layer id="1134" name="Reshape_4784_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="115433320" size="2560" />
+		<layer id="912" name="__module.down_blocks.2.resnets.0.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="115200704" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -18388,7 +15292,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1135" name="Reshape_4784" type="Convert" version="opset1">
+		<layer id="913" name="__module.down_blocks.2.resnets.0.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -18410,7 +15314,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1136" name="/down_blocks.2/resnets.0/conv1/Conv" type="Add" version="opset1">
+		<layer id="914" name="__module.down_blocks.2.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18427,7 +15331,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/conv1/Conv_output_0">
+				<port id="2" precision="FP32" names="1033,hidden_states.159">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -18435,8 +15339,8 @@
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 			</output>
 		</layer>
-		<layer id="1137" name="down_blocks.2.resnets.0.time_emb_proj.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="115435880" size="3276800" />
+		<layer id="915" name="self.down_blocks.2.resnets.0.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="115203264" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -18444,7 +15348,7 @@
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 			</output>
 		</layer>
-		<layer id="1138" name="down_blocks.2.resnets.0.time_emb_proj.weight" type="Convert" version="opset1">
+		<layer id="916" name="self.down_blocks.2.resnets.0.time_emb_proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -18456,13 +15360,13 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="down_blocks.2.resnets.0.time_emb_proj.weight">
+				<port id="1" precision="FP32" names="self.down_blocks.2.resnets.0.time_emb_proj.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
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 			</output>
 		</layer>
-		<layer id="1139" name="/down_blocks.2/resnets.0/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+		<layer id="917" name="__module.down_blocks.2.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18481,8 +15385,8 @@
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 			</output>
 		</layer>
-		<layer id="1140" name="Constant_75005_compressed" type="Const" version="opset1">
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+		<layer id="918" name="Constant_190224_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280" offset="118480064" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -18490,7 +15394,7 @@
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 			</output>
 		</layer>
-		<layer id="1141" name="Constant_75005" type="Convert" version="opset1">
+		<layer id="919" name="Constant_190224" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -18508,7 +15412,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1142" name="/down_blocks.2/resnets.0/time_emb_proj/Gemm" type="Add" version="opset1">
+		<layer id="920" name="__module.down_blocks.2.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18521,59 +15425,51 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/time_emb_proj/Gemm_output_0">
+				<port id="2" precision="FP32" names="1037,1038,1039">
 					<dim>1</dim>
 					<dim>1280</dim>
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-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="921" name="1002" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="6790128" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/resnets.0/Constant_output_0">
-					<dim>1</dim>
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+				<port id="0" precision="I64" names="1002" />
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 		</layer>
-		<layer id="1144" name="/down_blocks.2/resnets.0/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="922" name="__module.down_blocks.2.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
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+				<port id="1" precision="I64" />
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/Unsqueeze_output_0">
+				<port id="2" precision="FP32" names="1040">
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 					<dim>1280</dim>
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-			<data element_type="i64" shape="1" offset="7064744" size="8" />
+		<layer id="923" name="1003" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="6790136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/resnets.0/Constant_1_output_0">
-					<dim>1</dim>
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+				<port id="0" precision="I64" names="1003" />
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 		</layer>
-		<layer id="1146" name="/down_blocks.2/resnets.0/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="924" name="__module.down_blocks.2.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
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 				<port id="0" precision="FP32">
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 					<dim>1280</dim>
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-				<port id="1" precision="I64">
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+				<port id="1" precision="I64" />
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+				<port id="2" precision="FP32" names="1041,temb.9">
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 					<dim>1280</dim>
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@@ -18581,7 +15477,7 @@
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 		</layer>
-		<layer id="1147" name="/down_blocks.2/resnets.0/Add" type="Add" version="opset1">
+		<layer id="925" name="__module.down_blocks.2.resnets.0/aten::add/Add" type="Add" version="opset1">
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 			<input>
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@@ -18598,7 +15494,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/Add_output_0">
+				<port id="2" precision="FP32" names="1042,input.143">
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 					<dim>1280</dim>
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@@ -18606,15 +15502,18 @@
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-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="926" name="__module.down_blocks.2.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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 			<output>
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-		<layer id="1149" name="/down_blocks.2/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+		<layer id="927" name="__module.down_blocks.2.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
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@@ -18623,27 +15522,27 @@
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 					<dim>16</dim>
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-				<port id="1" precision="I64">
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 			<output>
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 					<dim>32</dim>
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-		<layer id="1150" name="Constant_4832" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="928" name="__module.down_blocks.2.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
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-		<layer id="1151" name="MVN_4833" type="MVN" version="opset6">
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 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -18651,20 +15550,20 @@
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 					<dim>10240</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
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+				<port id="2" precision="FP32">
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 					<dim>32</dim>
 					<dim>10240</dim>
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 		</layer>
-		<layer id="1152" name="/down_blocks.2/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="930" name="__module.down_blocks.2.resnets.0.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
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@@ -18674,12 +15573,12 @@
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 			</input>
 			<output>
-				<port id="1" precision="I64" names="/down_blocks.2/resnets.0/norm2/Shape_output_0">
+				<port id="1" precision="I32">
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 		</layer>
-		<layer id="1153" name="/down_blocks.2/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+		<layer id="931" name="__module.down_blocks.2.resnets.0.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18687,12 +15586,12 @@
 					<dim>32</dim>
 					<dim>10240</dim>
 				</port>
-				<port id="1" precision="I64">
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 			</input>
 			<output>
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+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -18700,8 +15599,8 @@
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 			</output>
 		</layer>
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-			<data element_type="f16" shape="1, 1280, 1, 1" offset="118715240" size="2560" />
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+			<data element_type="f16" shape="1, 1280, 1, 1" offset="118482624" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -18711,7 +15610,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1155" name="Constant_75006" type="Convert" version="opset1">
+		<layer id="933" name="Constant_190225" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -18733,7 +15632,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1156" name="/down_blocks.2/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+		<layer id="934" name="__module.down_blocks.2.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18750,7 +15649,7 @@
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -18758,8 +15657,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1157" name="Constant_75007_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="118717800" size="2560" />
+		<layer id="935" name="Constant_190226_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="118485184" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -18769,7 +15668,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1158" name="Constant_75007" type="Convert" version="opset1">
+		<layer id="936" name="Constant_190226" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -18791,7 +15690,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1159" name="/down_blocks.2/resnets.0/norm2/Add" type="Add" version="opset1">
+		<layer id="937" name="__module.down_blocks.2.resnets.0.norm2/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18808,7 +15707,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/norm2/Add_output_0">
+				<port id="2" precision="FP32" names="1045,input.145">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -18816,7 +15715,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1160" name="/down_blocks.2/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="938" name="__module.conv_act/aten::silu/Swish_15" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -18826,7 +15725,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/down_blocks.2/resnets.0/nonlinearity_1/Mul_output_0">
+				<port id="1" precision="FP32" names="1046,input.147">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -18834,8 +15733,8 @@
 				</port>
 			</output>
 		</layer>
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+			<data element_type="f16" shape="1280, 1280, 3, 3" offset="118487744" size="29491200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -18845,7 +15744,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1162" name="down_blocks.2.resnets.0.conv2.weight" type="Convert" version="opset1">
+		<layer id="940" name="self.down_blocks.2.resnets.0.conv2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -18859,7 +15758,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="down_blocks.2.resnets.0.conv2.weight">
+				<port id="1" precision="FP32" names="self.down_blocks.2.resnets.0.conv2.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -18867,7 +15766,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1163" name="/down_blocks.2/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="941" name="__module.down_blocks.2.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18892,8 +15791,8 @@
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 		</layer>
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-			<data element_type="f16" shape="1, 1280, 1, 1" offset="148211560" size="2560" />
+		<layer id="942" name="__module.down_blocks.2.resnets.0.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="147978944" size="2560" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -18903,7 +15802,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1165" name="Reshape_4957" type="Convert" version="opset1">
+		<layer id="943" name="__module.down_blocks.2.resnets.0.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -18925,7 +15824,7 @@
 				</port>
 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
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@@ -18942,7 +15841,7 @@
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1054,hidden_states.163">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -18950,7 +15849,7 @@
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 			</output>
 		</layer>
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+		<layer id="945" name="__module.down_blocks.2.resnets.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18967,7 +15866,7 @@
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 			</input>
 			<output>
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 					<dim>1280</dim>
 					<dim>16</dim>
@@ -18975,15 +15874,18 @@
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+		<layer id="946" name="__module.down_blocks.2.attentions.0.norm/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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 			<data special_zero="true" />
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 				<port id="0" precision="FP32">
@@ -18992,27 +15894,27 @@
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 					<dim>16</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
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 					<dim>32</dim>
 					<dim>10240</dim>
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+		<layer id="948" name="__module.down_blocks.2.attentions.0.norm/aten::group_norm/Constant_1" type="Const" version="opset1">
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-		<layer id="1171" name="MVN_5046" type="MVN" version="opset6">
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 			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -19020,20 +15922,20 @@
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 					<dim>10240</dim>
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-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/norm/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
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 					<dim>32</dim>
 					<dim>10240</dim>
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-		<layer id="1172" name="/down_blocks.2/attentions.0/norm/Shape" type="ShapeOf" version="opset3">
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+		<layer id="950" name="__module.down_blocks.2.attentions.0.norm/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
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 				<port id="0" precision="FP32">
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@@ -19043,12 +15945,12 @@
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 			<output>
-				<port id="1" precision="I64" names="/down_blocks.2/attentions.0/norm/Shape_output_0">
+				<port id="1" precision="I32">
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+		<layer id="951" name="__module.down_blocks.2.attentions.0.norm/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
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@@ -19056,12 +15958,12 @@
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 					<dim>10240</dim>
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-				<port id="1" precision="I64">
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+				<port id="2" precision="FP32">
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 					<dim>1280</dim>
 					<dim>16</dim>
@@ -19069,8 +15971,8 @@
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@@ -19160,7 +16062,7 @@
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@@ -19196,7 +16098,7 @@
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@@ -19218,7 +16120,7 @@
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@@ -19243,8 +16145,8 @@
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@@ -19254,7 +16156,7 @@
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@@ -19276,7 +16178,7 @@
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@@ -19330,15 +16232,18 @@
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-			<data element_type="i64" shape="3" offset="151498600" size="24" />
+		<layer id="966" name="Constant_196302" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="151265984" size="24" />
+			<rt_info>
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@@ -19352,22 +16257,22 @@
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@@ -19375,20 +16280,20 @@
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 					<dim>1280</dim>
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@@ -19397,7 +16302,7 @@
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-		<layer id="1193" name="Constant_75010" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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@@ -19417,7 +16322,7 @@
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@@ -19432,15 +16337,15 @@
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+		<layer id="973" name="Constant_190230_compressed" type="Const" version="opset1">
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@@ -19449,7 +16354,7 @@
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-		<layer id="1196" name="Constant_75011" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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@@ -19469,7 +16374,7 @@
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@@ -19484,15 +16389,15 @@
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-			<data element_type="f16" shape="1280, 1280" offset="151503744" size="3276800" />
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@@ -19500,7 +16405,7 @@
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-		<layer id="1199" name="Constant_73310" type="Convert" version="opset1">
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@@ -19512,13 +16417,13 @@
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 			<data transpose_a="false" transpose_b="true" />
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-			<data element_type="i64" shape="4" offset="154780544" size="32" />
+		<layer id="979" name="Constant_196303" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
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+				<port id="0" precision="I64">
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@@ -19560,7 +16468,7 @@
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 					<dim>256</dim>
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@@ -19568,15 +16476,15 @@
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@@ -19584,12 +16492,12 @@
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-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1207" name="Constant_73317_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="154780600" size="3276800" />
+		<layer id="983" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="154547960" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -19635,7 +16514,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1208" name="Constant_73317" type="Convert" version="opset1">
+		<layer id="984" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -19647,13 +16526,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1209" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="985" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
@@ -19667,22 +16546,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="1110,key.33">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1210" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154780544" size="32" />
+		<layer id="986" name="Constant_196304" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1211" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+		<layer id="987" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19695,7 +16577,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="1123">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>8</dim>
@@ -19703,15 +16585,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1212" name="Constant_5244" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="988" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1213" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+		<layer id="989" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -19719,12 +16601,12 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="1124,key.35">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
@@ -19732,128 +16614,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1214" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154780576" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_3_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1215" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_3_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1216" name="Constant_75012_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="158057400" size="2" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1217" name="Constant_75012" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>1</dim>
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-			</input>
-			<output>
-				<port id="1" precision="FP32">
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-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1218" name="Multiply_74243" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1219" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>256</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1220" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>256</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Softmax_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>256</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1221" name="Constant_73324_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="158057402" size="3276800" />
+		<layer id="990" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="157824760" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -19861,7 +16623,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1222" name="Constant_73324" type="Convert" version="opset1">
+		<layer id="991" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -19873,13 +16635,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1223" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="992" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19893,22 +16655,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="1112,value.33">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1224" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154780544" size="32" />
+		<layer id="993" name="Constant_196305" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1225" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_4" type="Reshape" version="opset1">
+		<layer id="994" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19921,7 +16686,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="1126">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>8</dim>
@@ -19929,15 +16694,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1226" name="Constant_5260" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="995" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1227" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+		<layer id="996" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -19945,12 +16710,12 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="1127,value.35">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
@@ -19958,16 +16723,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1228" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154780576" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_5_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1229" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="997" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -19975,62 +16732,21 @@
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_5_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1230" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>256</dim>
-				</port>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/MatMul_1_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1231" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="161334202" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_7_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1232" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_6_output_0">
+				<port id="3" precision="FP32" names="1128,hidden_states.175">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
@@ -20038,15 +16754,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1233" name="Constant_5283" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="998" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1234" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose_4" type="Transpose" version="opset1">
+		<layer id="999" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -20054,12 +16770,12 @@
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="1129">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>8</dim>
@@ -20067,15 +16783,18 @@
 				</port>
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 		</layer>
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-			<data element_type="i64" shape="3" offset="151498600" size="24" />
+		<layer id="1000" name="Constant_196306" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="161101560" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_8_output_0">
+				<port id="0" precision="I64">
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 		</layer>
-		<layer id="1236" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_7" type="Reshape" version="opset1">
+		<layer id="1001" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
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@@ -20089,15 +16808,15 @@
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-			<data element_type="f16" shape="1280, 1280" offset="161334234" size="3276800" />
+		<layer id="1002" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="161101584" size="3276800" />
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@@ -20105,7 +16824,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1238" name="Constant_73331" type="Convert" version="opset1">
+		<layer id="1003" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0.weight" type="Convert" version="opset1">
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@@ -20117,13 +16836,13 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0.weight">
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+		<layer id="1004" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
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@@ -20137,36 +16856,66 @@
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-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
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 					<dim>256</dim>
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-			<data auto_broadcast="numpy" />
+		<layer id="1005" name="Constant_190231_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="164378384" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1006" name="Constant_190231" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
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 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1007" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
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 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
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-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+				<port id="2" precision="FP32" names="1137,1139,attn_output.17,input.151">
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 					<dim>256</dim>
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 		</layer>
-		<layer id="1241" name="/down_blocks.2/attentions.0/transformer_blocks.0/Add" type="Add" version="opset1">
+		<layer id="1008" name="__module.down_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
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@@ -20181,22 +16930,22 @@
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-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/Add_output_0">
+				<port id="2" precision="FP32" names="1140,input.153">
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 					<dim>256</dim>
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-		<layer id="1242" name="Constant_5295" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="1009" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
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-				<port id="0" precision="I64">
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 		</layer>
-		<layer id="1243" name="/down_blocks.2/attentions.0/transformer_blocks.0/norm2/Div" type="MVN" version="opset6">
+		<layer id="1010" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -20204,20 +16953,20 @@
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/norm2/Div_output_0">
+				<port id="2" precision="FP32">
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 					<dim>256</dim>
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-			<data element_type="f16" shape="1, 1, 1280" offset="164611034" size="2560" />
+		<layer id="1011" name="Constant_190232_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="164380944" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
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@@ -20226,7 +16975,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1245" name="Constant_75014" type="Convert" version="opset1">
+		<layer id="1012" name="Constant_190232" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -20246,7 +16995,7 @@
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 			</output>
 		</layer>
-		<layer id="1246" name="/down_blocks.2/attentions.0/transformer_blocks.0/norm2/Mul" type="Multiply" version="opset1">
+		<layer id="1013" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -20261,15 +17010,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/norm2/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
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-		<layer id="1247" name="Constant_75015_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1280" offset="164613594" size="2560" />
+		<layer id="1014" name="Constant_190233_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="164383504" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -20278,7 +17027,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1248" name="Constant_75015" type="Convert" version="opset1">
+		<layer id="1015" name="Constant_190233" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -20298,7 +17047,7 @@
 				</port>
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 		</layer>
-		<layer id="1249" name="/down_blocks.2/attentions.0/transformer_blocks.0/norm2/Add_1" type="Add" version="opset1">
+		<layer id="1016" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -20313,15 +17062,15 @@
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/norm2/Add_1_output_0">
+				<port id="2" precision="FP32" names="1144,input.155">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
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 		</layer>
-		<layer id="1250" name="Constant_73339_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="164616154" size="3276800" />
+		<layer id="1017" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="164386064" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -20329,7 +17078,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1251" name="Constant_73339" type="Convert" version="opset1">
+		<layer id="1018" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -20341,13 +17090,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q.weight">
 					<dim>1280</dim>
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 		</layer>
-		<layer id="1252" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
+		<layer id="1019" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
@@ -20361,102 +17110,120 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+				<port id="2" precision="FP32" names="1152,query.37">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
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 		</layer>
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-			<data element_type="i64" shape="4" offset="154780544" size="32" />
+		<layer id="1020" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1/prim::ListConstruct/Reshape_0" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9869316" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_output_0">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
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 		</layer>
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-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+		<layer id="1021" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn1/prim::ListConstruct/Reshape_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9869324" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>256</dim>
-					<dim>1280</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="1022" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn2/prim::ListConstruct/Reshape_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1869152" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_output_0">
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>256</dim>
-					<dim>8</dim>
-					<dim>160</dim>
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-			<data element_type="i64" shape="4" offset="9322768" size="32" />
-			<output>
+		<layer id="1023" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn2/prim::ListConstruct/Concat" type="Concat" version="opset1">
+			<data axis="0" />
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 				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
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+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
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 		</layer>
-		<layer id="1256" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+		<layer id="1024" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
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+					<dim>1280</dim>
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 				<port id="1" precision="I64">
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 			<output>
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+				<port id="2" precision="FP32" names="1164">
 					<dim>1</dim>
-					<dim>8</dim>
 					<dim>256</dim>
+					<dim>8</dim>
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-			<data element_type="i64" shape="3" offset="154780576" size="24" />
+		<layer id="1025" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
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-				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_1_output_0">
-					<dim>3</dim>
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+					<dim>4</dim>
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 		</layer>
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-			<data special_zero="true" />
+		<layer id="1026" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
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 					<dim>256</dim>
+					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="1165,query.39">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
 					<dim>160</dim>
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 			</output>
 		</layer>
-		<layer id="1259" name="Constant_73346_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 768" offset="167892954" size="1966080" />
+		<layer id="1027" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 768" offset="167662864" size="1966080" />
 			<output>
 				<port id="0" precision="FP16">
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@@ -20464,7 +17231,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1260" name="Constant_73346" type="Convert" version="opset1">
+		<layer id="1028" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -20476,13 +17243,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k.weight">
 					<dim>1280</dim>
 					<dim>768</dim>
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 		</layer>
-		<layer id="1261" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="1029" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -20496,22 +17263,25 @@
 				</port>
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="1154,key.37">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>1280</dim>
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 			</output>
 		</layer>
-		<layer id="1262" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="169859034" size="32" />
+		<layer id="1030" name="Constant_196307" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1263" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+		<layer id="1031" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20524,7 +17294,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="1167">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -20532,15 +17302,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1264" name="Constant_5334" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="1032" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1265" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1033" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -20548,12 +17318,12 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="1168,key.39">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
@@ -20561,128 +17331,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1266" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="169859066" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_3_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1267" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_3_output_0">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1268" name="Constant_75016_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="158057400" size="2" />
-			<output>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1269" name="Constant_75016" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>1</dim>
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-			<output>
-				<port id="1" precision="FP32">
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-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1270" name="Multiply_74245" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="FP32">
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-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1271" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1272" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>77</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Softmax_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1273" name="Constant_73353_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 768" offset="169859090" size="1966080" />
+		<layer id="1034" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 768" offset="169628944" size="1966080" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -20690,7 +17340,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1274" name="Constant_73353" type="Convert" version="opset1">
+		<layer id="1035" name="self.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -20702,13 +17352,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v.weight">
 					<dim>1280</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1275" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="1036" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20722,22 +17372,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="1156,value.37">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1276" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="169859034" size="32" />
+		<layer id="1037" name="Constant_196308" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1277" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_4" type="Reshape" version="opset1">
+		<layer id="1038" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20750,7 +17403,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="1170">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -20758,15 +17411,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1278" name="Constant_5350" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="1039" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1279" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1040" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -20774,12 +17427,12 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="1171,value.39">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
@@ -20787,79 +17440,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1280" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="169859066" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_5_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1281" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="1041" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_5_output_0">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1282" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
 					<dim>8</dim>
 					<dim>256</dim>
-					<dim>77</dim>
+					<dim>160</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>160</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/MatMul_1_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1283" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="161334202" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_7_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1284" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
-					<dim>256</dim>
+					<dim>77</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_6_output_0">
+				<port id="3" precision="FP32" names="1172,hidden_states.181">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
@@ -20867,15 +17471,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1285" name="Constant_5373" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="1042" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1286" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose_4" type="Transpose" version="opset1">
+		<layer id="1043" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -20883,12 +17487,12 @@
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="1173">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>8</dim>
@@ -20896,15 +17500,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1287" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="151498600" size="24" />
+		<layer id="1044" name="Constant_196309" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="161101560" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_8_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
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 		</layer>
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-			<data element_type="f16" shape="1280, 1280" offset="171825170" size="3276800" />
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@@ -20934,7 +17541,7 @@
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 		</layer>
-		<layer id="1290" name="Constant_73360" type="Convert" version="opset1">
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@@ -20946,13 +17553,13 @@
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@@ -20966,36 +17573,66 @@
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+			<data element_type="f16" shape="1, 1, 1280" offset="174871824" size="2560" />
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+					<dim>1</dim>
+					<dim>1280</dim>
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+		<layer id="1050" name="Constant_190234" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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@@ -21033,20 +17670,20 @@
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@@ -21055,7 +17692,7 @@
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-		<layer id="1297" name="Constant_75018" type="Convert" version="opset1">
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@@ -21075,7 +17712,7 @@
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+		<layer id="1058" name="Constant_190236_compressed" type="Const" version="opset1">
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@@ -21107,7 +17744,7 @@
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 		</layer>
-		<layer id="1300" name="Constant_75019" type="Convert" version="opset1">
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@@ -21127,7 +17764,7 @@
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-			<data element_type="f16" shape="10240, 1280" offset="175107090" size="26214400" />
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@@ -21158,7 +17795,7 @@
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 		</layer>
-		<layer id="1303" name="Constant_73368" type="Convert" version="opset1">
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@@ -21170,13 +17807,13 @@
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-				<port id="0" precision="FP32">
+		<layer id="1064" name="Constant_190237_compressed" type="Const" version="opset1">
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-				<port id="1" precision="FP32">
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+		</layer>
+		<layer id="1065" name="Constant_190237" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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-					<dim>1</dim>
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+				<port id="3" precision="I32" />
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 		</layer>
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-			<data element_type="i32" shape="1" offset="12970946" size="4" />
+		<layer id="1071" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert" type="Const" version="opset1">
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+				<port id="0" precision="I32" />
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 		</layer>
-		<layer id="1318" name="ScatterUpdate_64776" type="ScatterUpdate" version="opset3">
+		<layer id="1072" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
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+				<port id="0" precision="I32" />
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+				<port id="2" precision="I32" />
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 		</layer>
-		<layer id="1319" name="Constant_64779" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="12970950" size="24" />
+		<layer id="1073" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
+			<data auto_broadcast="numpy" />
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 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1074" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
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+				<port id="0" precision="I32" />
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 		</layer>
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-			<data element_type="i64" shape="1" offset="298264" size="8" />
-			<output>
-				<port id="0" precision="I64">
+		<layer id="1075" name="Convert_194979" type="Convert" version="opset1">
+			<data destination_type="i32" />
+			<input>
+				<port id="0" precision="BOOL">
 					<dim>1</dim>
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-		<layer id="1323" name="Constant_64841" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="12970946" size="4" />
+			</input>
 			<output>
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+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1324" name="ScatterUpdate_64844" type="ScatterUpdate" version="opset3">
+		<layer id="1076" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
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-				<port id="3" precision="I32">
+				<port id="0" precision="I32" />
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-				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Constant_5_output_0">
+				<port id="2" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				</port>
-				<port id="1" precision="I64">
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-				</port>
-			</input>
+		<layer id="1077" name="Constant_113218" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="2" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Mul_1_output_0">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1328" name="ScatterUpdate_64846" type="ScatterUpdate" version="opset3">
+		<layer id="1078" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+			<data axis="0" />
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-				<port id="2" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
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-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="2" precision="I32">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1330" name="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1079" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
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 				<port id="0" precision="FP32">
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 					<dim>256</dim>
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-					<dim>3</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>2</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="3" precision="FP32" names="1198,hidden_states.187">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="4" precision="FP32" names="1199,gate.9">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1331" name="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+		<layer id="1080" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21542,14 +18056,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+				<port id="1" precision="FP32" names="1200">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1332" name="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+		<layer id="1081" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21564,15 +18078,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+				<port id="2" precision="FP32" names="1201,input.165">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f16" shape="1280, 5120" offset="201321490" size="13107200" />
+		<layer id="1082" name="self.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 5120" offset="201114384" size="13107200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -21580,7 +18094,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1334" name="Constant_73376" type="Convert" version="opset1">
+		<layer id="1083" name="self.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -21592,13 +18106,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight">
 					<dim>1280</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1335" name="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+		<layer id="1084" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21612,36 +18126,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.2/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="1085" name="Constant_190238_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="214221584" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1086" name="Constant_190238" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1087" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.2/Add_output_0">
+				<port id="2" precision="FP32" names="1205,ff_output.9">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1337" name="/down_blocks.2/attentions.0/transformer_blocks.0/Add_2" type="Add" version="opset1">
+		<layer id="1088" name="__module.down_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21656,23 +18200,95 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/Add_2_output_0">
+				<port id="2" precision="FP32" names="1206,hidden_states.189">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="214428690" size="32" />
+		<layer id="1089" name="ShapeOf_194876" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/Constant_1_output_0">
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1339" name="/down_blocks.2/attentions.0/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="1090" name="Constant_196633" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="13522464" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1091" name="Constant_196634" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1092" name="Gather_196635" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1093" name="__module.down_blocks.2.attentions.0/prim::ListConstruct/Reshape_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="214224144" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1094" name="__module.down_blocks.2.attentions.0/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="1207">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1095" name="__module.down_blocks.2.attentions.0/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
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+		<layer id="1096" name="Constant_73370" type="Const" version="opset1">
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@@ -21732,7 +18348,7 @@
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@@ -21754,7 +18370,7 @@
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@@ -21879,27 +18498,27 @@
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 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -21907,20 +18526,20 @@
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+		<layer id="1109" name="__module.down_blocks.2.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
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@@ -21930,12 +18549,12 @@
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@@ -21943,12 +18562,12 @@
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@@ -21956,8 +18575,8 @@
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@@ -21967,7 +18586,7 @@
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-		<layer id="1356" name="Constant_75022" type="Convert" version="opset1">
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@@ -21989,7 +18608,7 @@
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+		<layer id="1114" name="Constant_190240_compressed" type="Const" version="opset1">
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@@ -22025,7 +18644,7 @@
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@@ -22047,7 +18666,7 @@
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@@ -22072,7 +18691,7 @@
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@@ -22082,7 +18701,7 @@
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@@ -22090,8 +18709,8 @@
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@@ -22101,7 +18720,7 @@
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@@ -22115,7 +18734,7 @@
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@@ -22123,7 +18742,7 @@
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@@ -22148,8 +18767,8 @@
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@@ -22159,7 +18778,7 @@
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@@ -22181,7 +18800,7 @@
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@@ -22206,8 +18825,8 @@
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-			<data element_type="f16" shape="1280, 1280" offset="247206962" size="3276800" />
+		<layer id="1124" name="self.down_blocks.2.resnets.1.time_emb_proj.weight_compressed" type="Const" version="opset1">
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@@ -22215,7 +18834,7 @@
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 			<data destination_type="f32" />
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@@ -22227,13 +18846,13 @@
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-		<layer id="1370" name="/down_blocks.2/resnets.1/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
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@@ -22252,8 +18871,8 @@
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-			<data element_type="f16" shape="1, 1280" offset="250483762" size="2560" />
+		<layer id="1127" name="Constant_190241_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280" offset="250279192" size="2560" />
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 					<dim>1</dim>
@@ -22261,7 +18880,7 @@
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 		</layer>
-		<layer id="1372" name="Constant_75024" type="Convert" version="opset1">
+		<layer id="1128" name="Constant_190241" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -22279,7 +18898,7 @@
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 		</layer>
-		<layer id="1373" name="/down_blocks.2/resnets.1/time_emb_proj/Gemm" type="Add" version="opset1">
+		<layer id="1129" name="__module.down_blocks.2.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -22292,59 +18911,39 @@
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/time_emb_proj/Gemm_output_0">
+				<port id="2" precision="FP32" names="1240,1241,1242">
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-		<layer id="1374" name="/down_blocks.2/resnets.1/Constant" type="Const" version="opset1">
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-				<port id="0" precision="I64" names="/down_blocks.2/resnets.1/Constant_output_0">
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-			</output>
-		</layer>
-		<layer id="1375" name="/down_blocks.2/resnets.1/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1130" name="__module.down_blocks.2.resnets.1/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
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 				<port id="0" precision="FP32">
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 					<dim>1280</dim>
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-				<port id="1" precision="I64">
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+				<port id="1" precision="I64" />
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-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/Unsqueeze_output_0">
+				<port id="2" precision="FP32" names="1243">
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-				<port id="0" precision="I64" names="/down_blocks.2/resnets.1/Constant_1_output_0">
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-		</layer>
-		<layer id="1377" name="/down_blocks.2/resnets.1/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1131" name="__module.down_blocks.2.resnets.1/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
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-				<port id="1" precision="I64">
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+				<port id="1" precision="I64" />
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+				<port id="2" precision="FP32" names="1244,temb.11">
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 					<dim>1280</dim>
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@@ -22352,7 +18951,7 @@
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-		<layer id="1378" name="/down_blocks.2/resnets.1/Add" type="Add" version="opset1">
+		<layer id="1132" name="__module.down_blocks.2.resnets.1/aten::add/Add" type="Add" version="opset1">
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@@ -22369,7 +18968,7 @@
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/Add_output_0">
+				<port id="2" precision="FP32" names="1245,input.175">
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@@ -22377,15 +18976,18 @@
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-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="1133" name="__module.down_blocks.2.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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 			<output>
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-		<layer id="1380" name="/down_blocks.2/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+		<layer id="1134" name="__module.down_blocks.2.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
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@@ -22394,27 +18996,27 @@
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 			<output>
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-		<layer id="1381" name="Constant_5800" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="1135" name="__module.down_blocks.2.resnets.1.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
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-		<layer id="1382" name="MVN_5801" type="MVN" version="opset6">
+		<layer id="1136" name="__module.down_blocks.2.resnets.1.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -22422,20 +19024,20 @@
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 					<dim>10240</dim>
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-				<port id="1" precision="I64">
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 			<output>
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+				<port id="2" precision="FP32">
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 					<dim>32</dim>
 					<dim>10240</dim>
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 		</layer>
-		<layer id="1383" name="/down_blocks.2/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1137" name="__module.down_blocks.2.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
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@@ -22445,12 +19047,12 @@
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 			</input>
 			<output>
-				<port id="1" precision="I64" names="/down_blocks.2/resnets.1/norm2/Shape_output_0">
+				<port id="1" precision="I32">
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 		</layer>
-		<layer id="1384" name="/down_blocks.2/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1138" name="__module.down_blocks.2.resnets.1.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22458,12 +19060,12 @@
 					<dim>32</dim>
 					<dim>10240</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/norm2/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -22471,8 +19073,8 @@
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-		<layer id="1385" name="Constant_75025_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="250486322" size="2560" />
+		<layer id="1139" name="Constant_190242_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="250281752" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -22482,7 +19084,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1386" name="Constant_75025" type="Convert" version="opset1">
+		<layer id="1140" name="Constant_190242" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -22504,7 +19106,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1387" name="/down_blocks.2/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+		<layer id="1141" name="__module.down_blocks.2.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22521,7 +19123,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/norm2/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -22529,8 +19131,8 @@
 				</port>
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 		</layer>
-		<layer id="1388" name="Constant_75026_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="250488882" size="2560" />
+		<layer id="1142" name="Constant_190243_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="250284312" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -22540,7 +19142,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1389" name="Constant_75026" type="Convert" version="opset1">
+		<layer id="1143" name="Constant_190243" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -22562,7 +19164,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1390" name="/down_blocks.2/resnets.1/norm2/Add" type="Add" version="opset1">
+		<layer id="1144" name="__module.down_blocks.2.resnets.1.norm2/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -22579,7 +19181,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/norm2/Add_output_0">
+				<port id="2" precision="FP32" names="1248,input.177">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -22587,7 +19189,7 @@
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 			</output>
 		</layer>
-		<layer id="1391" name="/down_blocks.2/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="1145" name="__module.conv_act/aten::silu/Swish_18" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -22597,7 +19199,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/down_blocks.2/resnets.1/nonlinearity_1/Mul_output_0">
+				<port id="1" precision="FP32" names="1249,input.179">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -22605,8 +19207,8 @@
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 		</layer>
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-			<data element_type="f16" shape="1280, 1280, 3, 3" offset="250491442" size="29491200" />
+		<layer id="1146" name="self.down_blocks.2.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280, 3, 3" offset="250286872" size="29491200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -22616,7 +19218,7 @@
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 			</output>
 		</layer>
-		<layer id="1393" name="down_blocks.2.resnets.1.conv2.weight" type="Convert" version="opset1">
+		<layer id="1147" name="self.down_blocks.2.resnets.1.conv2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -22630,7 +19232,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="down_blocks.2.resnets.1.conv2.weight">
+				<port id="1" precision="FP32" names="self.down_blocks.2.resnets.1.conv2.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -22638,7 +19240,7 @@
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 			</output>
 		</layer>
-		<layer id="1394" name="/down_blocks.2/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="1148" name="__module.down_blocks.2.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22663,8 +19265,8 @@
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 		</layer>
-		<layer id="1395" name="Reshape_5925_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="279982642" size="2560" />
+		<layer id="1149" name="__module.down_blocks.2.resnets.1.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="279778072" size="2560" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -22674,7 +19276,7 @@
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 			</output>
 		</layer>
-		<layer id="1396" name="Reshape_5925" type="Convert" version="opset1">
+		<layer id="1150" name="__module.down_blocks.2.resnets.1.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -22696,7 +19298,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1397" name="/down_blocks.2/resnets.1/conv2/Conv" type="Add" version="opset1">
+		<layer id="1151" name="__module.down_blocks.2.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22713,7 +19315,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/conv2/Conv_output_0">
+				<port id="2" precision="FP32" names="1257,hidden_states.201">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -22721,7 +19323,7 @@
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 		</layer>
-		<layer id="1398" name="/down_blocks.2/resnets.1/Add_1" type="Add" version="opset1">
+		<layer id="1152" name="__module.down_blocks.2.resnets.1/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22738,7 +19340,7 @@
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 					<dim>1280</dim>
 					<dim>16</dim>
@@ -22746,15 +19348,18 @@
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-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="1153" name="__module.down_blocks.2.attentions.1.norm/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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-				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/norm/Constant_output_0">
+				<port id="0" precision="I32">
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-		<layer id="1400" name="/down_blocks.2/attentions.1/norm/Reshape" type="Reshape" version="opset1">
+		<layer id="1154" name="__module.down_blocks.2.attentions.1.norm/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
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 				<port id="0" precision="FP32">
@@ -22763,27 +19368,27 @@
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 					<dim>16</dim>
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-				<port id="1" precision="I64">
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 					<dim>32</dim>
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-		<layer id="1401" name="Constant_5965" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="1155" name="__module.down_blocks.2.attentions.1.norm/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
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@@ -22814,12 +19419,12 @@
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@@ -22827,12 +19432,12 @@
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@@ -22873,7 +19478,7 @@
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@@ -22931,7 +19536,7 @@
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@@ -22989,7 +19594,7 @@
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@@ -23014,8 +19619,8 @@
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+		<layer id="1168" name="__module.down_blocks.2.attentions.1.proj_in/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
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@@ -23025,7 +19630,7 @@
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 			<data destination_type="f32" />
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@@ -23047,7 +19652,7 @@
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@@ -23064,7 +19669,7 @@
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@@ -23072,15 +19677,15 @@
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-		<layer id="1417" name="Constant_6116" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9116592" size="32" />
+		<layer id="1171" name="Constant_73882" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="8841984" size="32" />
 			<output>
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-		<layer id="1418" name="/down_blocks.2/attentions.1/Transpose" type="Transpose" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -23093,7 +19698,7 @@
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-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/Transpose_output_0">
+				<port id="2" precision="FP32" names="1282">
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@@ -23101,15 +19706,18 @@
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-			<data element_type="i64" shape="3" offset="151498600" size="24" />
+		<layer id="1173" name="Constant_196310" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="151265984" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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-		<layer id="1420" name="/down_blocks.2/attentions.1/Reshape" type="Reshape" version="opset1">
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 			<data special_zero="true" />
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@@ -23123,22 +19731,22 @@
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@@ -23146,20 +19754,20 @@
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 					<dim>1280</dim>
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+		<layer id="1177" name="Constant_190246_compressed" type="Const" version="opset1">
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@@ -23168,7 +19776,7 @@
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-		<layer id="1424" name="Constant_75029" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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@@ -23188,7 +19796,7 @@
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@@ -23203,15 +19811,15 @@
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+		<layer id="1180" name="Constant_190247_compressed" type="Const" version="opset1">
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@@ -23220,7 +19828,7 @@
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-		<layer id="1427" name="Constant_75030" type="Convert" version="opset1">
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@@ -23240,7 +19848,7 @@
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@@ -23255,15 +19863,15 @@
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@@ -23271,7 +19879,7 @@
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 			<data transpose_a="false" transpose_b="true" />
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@@ -23303,22 +19911,25 @@
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+		<layer id="1186" name="Constant_196311" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+				<port id="0" precision="I64">
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@@ -23331,7 +19942,7 @@
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-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_output_0">
+				<port id="2" precision="FP32" names="1316">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>8</dim>
@@ -23339,15 +19950,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1434" name="Constant_6148" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="1188" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1435" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+		<layer id="1189" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -23355,50 +19966,21 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_output_0">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1436" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154780576" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_1_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1437" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="1317,query.43">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_1_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="1438" name="Constant_73393_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="286551602" size="3276800" />
+		<layer id="1190" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="286347032" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -23406,7 +19988,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1439" name="Constant_73393" type="Convert" version="opset1">
+		<layer id="1191" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -23418,13 +20000,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_k.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1440" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="1192" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23438,22 +20020,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="1306,key.41">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1441" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154780544" size="32" />
+		<layer id="1193" name="Constant_196312" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1442" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+		<layer id="1194" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23466,7 +20051,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="1319">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>8</dim>
@@ -23474,15 +20059,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1443" name="Constant_6164" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="1195" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1444" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1196" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -23490,141 +20075,21 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_1_output_0">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1445" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154780576" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_3_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1446" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_3_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1447" name="Constant_75031_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="158057400" size="2" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1448" name="Constant_75031" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1320,key.43">
 					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1449" name="Multiply_74247" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
 					<dim>8</dim>
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1450" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>256</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1451" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>256</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Softmax_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>256</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1452" name="Constant_73400_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="289828402" size="3276800" />
+		<layer id="1197" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="289623832" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -23632,7 +20097,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1453" name="Constant_73400" type="Convert" version="opset1">
+		<layer id="1198" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -23644,13 +20109,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_v.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1454" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="1199" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23664,22 +20129,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="1308,value.41">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1455" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154780544" size="32" />
+		<layer id="1200" name="Constant_196313" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1456" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_4" type="Reshape" version="opset1">
+		<layer id="1201" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23692,7 +20160,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="1322">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>8</dim>
@@ -23700,15 +20168,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1457" name="Constant_6180" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="1202" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1458" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1203" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -23716,12 +20184,12 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="1323,value.43">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
@@ -23729,16 +20197,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1459" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154780576" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_5_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1460" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="1204" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -23746,62 +20206,21 @@
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_5_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1461" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>256</dim>
-				</port>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/MatMul_1_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
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-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1463" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
 					<dim>160</dim>
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-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_6_output_0">
+				<port id="3" precision="FP32" names="1324,hidden_states.213">
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@@ -23809,15 +20228,15 @@
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-		<layer id="1464" name="Constant_6203" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="1205" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
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 		</layer>
-		<layer id="1465" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_4" type="Transpose" version="opset1">
+		<layer id="1206" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
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@@ -23825,12 +20244,12 @@
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 					<dim>160</dim>
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-				<port id="1" precision="I64">
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-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="1325">
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@@ -23838,15 +20257,18 @@
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-			<data element_type="i64" shape="3" offset="151498600" size="24" />
+		<layer id="1207" name="Constant_196314" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="161101560" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_8_output_0">
+				<port id="0" precision="I64">
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 		</layer>
-		<layer id="1467" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_7" type="Reshape" version="opset1">
+		<layer id="1208" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
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@@ -23860,15 +20282,15 @@
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-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_7_output_0">
+				<port id="2" precision="FP32" names="1329,1330,hidden_states.215,input.181">
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-		<layer id="1468" name="Constant_73407_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="293105202" size="3276800" />
+		<layer id="1209" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="292900632" size="3276800" />
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 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -23876,7 +20298,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1469" name="Constant_73407" type="Convert" version="opset1">
+		<layer id="1210" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -23888,13 +20310,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_out.0.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
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 		</layer>
-		<layer id="1470" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="1211" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -23908,36 +20330,66 @@
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="1212" name="Constant_190248_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="296177432" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1213" name="Constant_190248" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
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 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1214" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+				<port id="2" precision="FP32" names="1333,1335,attn_output.21,input.183">
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 					<dim>256</dim>
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 		</layer>
-		<layer id="1472" name="/down_blocks.2/attentions.1/transformer_blocks.0/Add" type="Add" version="opset1">
+		<layer id="1215" name="__module.down_blocks.2.attentions.1.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -23952,22 +20404,22 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/Add_output_0">
+				<port id="2" precision="FP32" names="1336,input.185">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
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 		</layer>
-		<layer id="1473" name="Constant_6215" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="1216" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
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-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 			</output>
 		</layer>
-		<layer id="1474" name="/down_blocks.2/attentions.1/transformer_blocks.0/norm2/Div" type="MVN" version="opset6">
+		<layer id="1217" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -23975,20 +20427,20 @@
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/norm2/Div_output_0">
+				<port id="2" precision="FP32">
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 					<dim>256</dim>
 					<dim>1280</dim>
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 			</output>
 		</layer>
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-			<data element_type="f16" shape="1, 1, 1280" offset="296382002" size="2560" />
+		<layer id="1218" name="Constant_190249_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="296179992" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -23997,7 +20449,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1476" name="Constant_75033" type="Convert" version="opset1">
+		<layer id="1219" name="Constant_190249" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -24017,7 +20469,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1477" name="/down_blocks.2/attentions.1/transformer_blocks.0/norm2/Mul" type="Multiply" version="opset1">
+		<layer id="1220" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -24032,15 +20484,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/norm2/Mul_output_0">
+				<port id="2" precision="FP32">
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 					<dim>256</dim>
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 		</layer>
-		<layer id="1478" name="Constant_75034_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1280" offset="296384562" size="2560" />
+		<layer id="1221" name="Constant_190250_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="296182552" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -24049,7 +20501,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1479" name="Constant_75034" type="Convert" version="opset1">
+		<layer id="1222" name="Constant_190250" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -24069,7 +20521,7 @@
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 		</layer>
-		<layer id="1480" name="/down_blocks.2/attentions.1/transformer_blocks.0/norm2/Add_1" type="Add" version="opset1">
+		<layer id="1223" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -24084,15 +20536,15 @@
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/norm2/Add_1_output_0">
+				<port id="2" precision="FP32" names="1340,input.187">
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 					<dim>256</dim>
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 		</layer>
-		<layer id="1481" name="Constant_73415_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="296387122" size="3276800" />
+		<layer id="1224" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_q.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="296185112" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -24100,7 +20552,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1482" name="Constant_73415" type="Convert" version="opset1">
+		<layer id="1225" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_q.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -24112,13 +20564,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_q.weight">
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 		</layer>
-		<layer id="1483" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
+		<layer id="1226" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -24132,23 +20584,15 @@
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+				<port id="2" precision="FP32" names="1348,query.45">
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 					<dim>256</dim>
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 		</layer>
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-		</layer>
-		<layer id="1485" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="1227" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
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@@ -24160,7 +20604,7 @@
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_output_0">
+				<port id="2" precision="FP32" names="1360">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>8</dim>
@@ -24168,15 +20612,15 @@
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 		</layer>
-		<layer id="1486" name="Constant_6238" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="1228" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
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 		</layer>
-		<layer id="1487" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+		<layer id="1229" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
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@@ -24184,50 +20628,21 @@
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 					<dim>160</dim>
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-				<port id="1" precision="I64">
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-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="1361,query.47">
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-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="1490" name="Constant_73422_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 768" offset="299663922" size="1966080" />
+		<layer id="1230" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 768" offset="299461912" size="1966080" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -24235,7 +20650,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1491" name="Constant_73422" type="Convert" version="opset1">
+		<layer id="1231" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -24247,13 +20662,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight">
 					<dim>1280</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1492" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="1232" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24267,22 +20682,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="1350,key.45">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1493" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="169859034" size="32" />
+		<layer id="1233" name="Constant_196315" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1494" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+		<layer id="1234" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24295,7 +20713,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="1363">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -24303,15 +20721,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1495" name="Constant_6254" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="1235" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1496" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1236" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -24319,141 +20737,21 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose_1_output_0">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1497" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="169859066" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_3_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1498" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_3_output_0">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1499" name="Constant_75035_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="158057400" size="2" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1364,key.47">
 					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1500" name="Constant_75035" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>1</dim>
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-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1501" name="Multiply_74249" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>160</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1502" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1503" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>77</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Softmax_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1504" name="Constant_73429_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 768" offset="301630002" size="1966080" />
+		<layer id="1237" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 768" offset="301427992" size="1966080" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -24461,7 +20759,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1505" name="Constant_73429" type="Convert" version="opset1">
+		<layer id="1238" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -24473,13 +20771,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight">
 					<dim>1280</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1506" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="1239" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24493,22 +20791,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="1352,value.45">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1507" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="169859034" size="32" />
+		<layer id="1240" name="Constant_196316" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1508" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_4" type="Reshape" version="opset1">
+		<layer id="1241" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24521,7 +20822,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="1366">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -24529,15 +20830,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1509" name="Constant_6270" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="1242" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1510" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1243" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -24545,92 +20846,43 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose_2_output_0">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1511" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="169859066" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_5_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1512" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_5_output_0">
+				<port id="2" precision="FP32" names="1367,value.47">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>160</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1513" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
+		<layer id="1244" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
-					<dim>77</dim>
+					<dim>160</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>160</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/MatMul_1_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1514" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="161334202" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_7_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1515" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
-					<dim>256</dim>
+					<dim>77</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_6_output_0">
+				<port id="3" precision="FP32" names="1368,hidden_states.219">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
@@ -24638,15 +20890,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1516" name="Constant_6293" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="1245" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1517" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose_4" type="Transpose" version="opset1">
+		<layer id="1246" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -24654,12 +20906,12 @@
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="1369">
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 					<dim>256</dim>
 					<dim>8</dim>
@@ -24667,15 +20919,18 @@
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="3" offset="151498600" size="24" />
+		<layer id="1247" name="Constant_196317" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="161101560" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_8_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
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 		</layer>
-		<layer id="1519" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_7" type="Reshape" version="opset1">
+		<layer id="1248" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
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@@ -24689,15 +20944,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_7_output_0">
+				<port id="2" precision="FP32" names="1373,1374,hidden_states.221,input.189">
 					<dim>1</dim>
 					<dim>256</dim>
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 		</layer>
-		<layer id="1520" name="Constant_73436_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="303596082" size="3276800" />
+		<layer id="1249" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="303394072" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -24705,7 +20960,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1521" name="Constant_73436" type="Convert" version="opset1">
+		<layer id="1250" name="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -24717,13 +20972,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1522" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="1251" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
@@ -24737,36 +20992,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1523" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1252" name="Constant_190251_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="306670872" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1253" name="Constant_190251" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1254" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+				<port id="2" precision="FP32" names="1377,1379,attn_output.23,input.191">
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 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1524" name="/down_blocks.2/attentions.1/transformer_blocks.0/Add_1" type="Add" version="opset1">
+		<layer id="1255" name="__module.down_blocks.2.attentions.1.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -24781,22 +21066,22 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/Add_1_output_0">
+				<port id="2" precision="FP32" names="1380,input.193">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
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 			</output>
 		</layer>
-		<layer id="1525" name="Constant_6305" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="1256" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="1526" name="/down_blocks.2/attentions.1/transformer_blocks.0/norm3/Div" type="MVN" version="opset6">
+		<layer id="1257" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -24804,20 +21089,20 @@
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 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/norm3/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
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 			</output>
 		</layer>
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-			<data element_type="f16" shape="1, 1, 1280" offset="306872882" size="2560" />
+		<layer id="1258" name="Constant_190252_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="306673432" size="2560" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -24826,7 +21111,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1528" name="Constant_75037" type="Convert" version="opset1">
+		<layer id="1259" name="Constant_190252" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -24846,7 +21131,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1529" name="/down_blocks.2/attentions.1/transformer_blocks.0/norm3/Mul" type="Multiply" version="opset1">
+		<layer id="1260" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -24861,15 +21146,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/norm3/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
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 		</layer>
-		<layer id="1530" name="Constant_75038_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1280" offset="306875442" size="2560" />
+		<layer id="1261" name="Constant_190253_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="306675992" size="2560" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -24878,7 +21163,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1531" name="Constant_75038" type="Convert" version="opset1">
+		<layer id="1262" name="Constant_190253" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -24898,7 +21183,7 @@
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 		</layer>
-		<layer id="1532" name="/down_blocks.2/attentions.1/transformer_blocks.0/norm3/Add_1" type="Add" version="opset1">
+		<layer id="1263" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -24913,15 +21198,15 @@
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/norm3/Add_1_output_0">
+				<port id="2" precision="FP32" names="1384,input.195">
 					<dim>1</dim>
 					<dim>256</dim>
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-			<data element_type="f16" shape="10240, 1280" offset="306878002" size="26214400" />
+		<layer id="1264" name="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1280" offset="306678552" size="26214400" />
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 				<port id="0" precision="FP16">
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@@ -24929,7 +21214,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1534" name="Constant_73444" type="Convert" version="opset1">
+		<layer id="1265" name="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -24941,13 +21226,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight">
 					<dim>10240</dim>
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 		</layer>
-		<layer id="1535" name="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/proj/MatMul" type="MatMul" version="opset1">
+		<layer id="1266" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
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@@ -24961,61 +21246,67 @@
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/proj/MatMul_output_0">
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 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>10240</dim>
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-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
+		<layer id="1267" name="Constant_190254_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 10240" offset="332892952" size="20480" />
+			<output>
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 					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="1268" name="Constant_190254" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
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-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/proj/Add_output_0">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
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-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+		<layer id="1269" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
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-		<layer id="1538" name="Constant_64976" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
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-		<layer id="1539" name="Constant_64972" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="2" precision="FP32" names="1392">
 					<dim>1</dim>
+					<dim>256</dim>
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 		</layer>
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-			<data output_type="i64" />
+		<layer id="1270" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
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@@ -25024,286 +21315,145 @@
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 			<output>
-				<port id="1" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Shape_output_0">
+				<port id="1" precision="I32">
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 		</layer>
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-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="1271" name="Constant_113231" type="Const" version="opset1">
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-				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant_output_0">
+				<port id="0" precision="I32">
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-		<layer id="1542" name="Constant_6322" type="Const" version="opset1">
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-		<layer id="1543" name="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Gather" type="Gather" version="opset8">
+		<layer id="1272" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
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-				<port id="0" precision="I64">
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-				<port id="0" precision="I64">
-					<dim>1</dim>
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-				<port id="1" precision="I64">
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-					<dim>1</dim>
-				</port>
+				<port id="3" precision="I32" />
 			</output>
 		</layer>
-		<layer id="1547" name="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Div" type="Divide" version="opset1">
+		<layer id="1273" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
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-				<port id="1" precision="I64">
-					<dim>1</dim>
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+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
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-					<dim>1</dim>
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-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
+				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="1549" name="ScatterUpdate_64977" type="ScatterUpdate" version="opset3">
+		<layer id="1274" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
+			<data auto_broadcast="numpy" />
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-				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
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+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
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 			<output>
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-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="2" precision="I32" />
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1275" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I32" />
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 			</input>
 			<output>
-				<port id="4" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Slice_output_0">
+				<port id="2" precision="BOOL">
 					<dim>1</dim>
-					<dim>256</dim>
-					<dim>5120</dim>
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 				</port>
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 		</layer>
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-			<data element_type="i64" shape="1" offset="298264" size="8" />
-			<output>
-				<port id="0" precision="I64">
+		<layer id="1276" name="Convert_195098" type="Convert" version="opset1">
+			<data destination_type="i32" />
+			<input>
+				<port id="0" precision="BOOL">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="1554" name="Constant_65042" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="12970946" size="4" />
+			</input>
 			<output>
-				<port id="0" precision="I32">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1555" name="ScatterUpdate_65045" type="ScatterUpdate" version="opset3">
+		<layer id="1277" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
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-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
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-		</layer>
-		<layer id="1556" name="Constant_65046" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-			</output>
-		</layer>
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-			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant_5_output_0">
+				<port id="2" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1558" name="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Mul_1" type="Multiply" version="opset1">
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-				<port id="0" precision="I64">
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-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="1278" name="Constant_113232" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="2" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Mul_1_output_0">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1559" name="ScatterUpdate_65047" type="ScatterUpdate" version="opset3">
+		<layer id="1279" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="I64">
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-				</port>
-				<port id="1" precision="I64">
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-				</port>
-				<port id="2" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
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-		</layer>
-		<layer id="1560" name="Constant_65050" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="2" precision="I32">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1561" name="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1280" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>10240</dim>
 				</port>
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-				<port id="2" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>2</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Slice_1_output_0">
+				<port id="3" precision="FP32" names="1394,hidden_states.225">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="4" precision="FP32" names="1395,gate.11">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1562" name="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+		<layer id="1281" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25313,14 +21463,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+				<port id="1" precision="FP32" names="1396">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1563" name="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+		<layer id="1282" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25335,15 +21485,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+				<port id="2" precision="FP32" names="1397,input.197">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1564" name="Constant_73452_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 5120" offset="333092402" size="13107200" />
+		<layer id="1283" name="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 5120" offset="332913432" size="13107200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -25351,7 +21501,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1565" name="Constant_73452" type="Convert" version="opset1">
+		<layer id="1284" name="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -25363,13 +21513,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight">
 					<dim>1280</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1566" name="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+		<layer id="1285" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25383,36 +21533,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.2/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1567" name="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1286" name="Constant_190255_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="346020632" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1287" name="Constant_190255" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1288" name="__module.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.2/Add_output_0">
+				<port id="2" precision="FP32" names="1401,ff_output.11">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1568" name="/down_blocks.2/attentions.1/transformer_blocks.0/Add_2" type="Add" version="opset1">
+		<layer id="1289" name="__module.down_blocks.2.attentions.1.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25427,23 +21607,95 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/Add_2_output_0">
+				<port id="2" precision="FP32" names="1402,hidden_states.227">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1569" name="/down_blocks.2/attentions.1/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="214428690" size="32" />
+		<layer id="1290" name="ShapeOf_194995" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1291" name="Constant_196642" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="13522464" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1292" name="Constant_196643" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1293" name="Gather_196644" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1294" name="__module.down_blocks.2.attentions.1/prim::ListConstruct/Reshape_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="214224144" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1295" name="__module.down_blocks.2.attentions.1/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/Constant_1_output_0">
+				<port id="2" precision="I64" names="1403">
 					<dim>4</dim>
 				</port>
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 		</layer>
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+			<data destination_type="f32" />
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+				<port id="2" precision="FP32">
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 					<dim>1280</dim>
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@@ -25901,8 +22156,8 @@
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-			<data element_type="f16" shape="1, 1280, 1, 1" offset="378975282" size="2560" />
+		<layer id="1321" name="Constant_190257_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="378798872" size="2560" />
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 				<port id="0" precision="FP16">
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@@ -25912,7 +22167,7 @@
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 		</layer>
-		<layer id="1596" name="Constant_75042" type="Convert" version="opset1">
+		<layer id="1322" name="Constant_190257" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -25934,7 +22189,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1597" name="/down_blocks.3/resnets.0/norm1/Add" type="Add" version="opset1">
+		<layer id="1323" name="__module.down_blocks.3.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -25951,7 +22206,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.0/norm1/Add_output_0">
+				<port id="2" precision="FP32" names="1448,input.203">
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 					<dim>1280</dim>
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@@ -25959,7 +22214,7 @@
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 			</output>
 		</layer>
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 				<port id="0" precision="FP32">
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@@ -25969,7 +22224,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/down_blocks.3/resnets.0/nonlinearity/Mul_output_0">
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 					<dim>1280</dim>
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@@ -25977,8 +22232,8 @@
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-			<data element_type="f16" shape="1280, 1280, 3, 3" offset="378977842" size="29491200" />
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+			<data element_type="f16" shape="1280, 1280, 3, 3" offset="378801432" size="29491200" />
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 				<port id="0" precision="FP16">
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@@ -25988,7 +22243,7 @@
 				</port>
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@@ -26002,7 +22257,7 @@
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@@ -26010,7 +22265,7 @@
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-		<layer id="1601" name="/down_blocks.3/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
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 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
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@@ -26035,8 +22290,8 @@
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-			<data element_type="f16" shape="1, 1280, 1, 1" offset="408469042" size="2560" />
+		<layer id="1328" name="__module.down_blocks.3.resnets.0.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="408292632" size="2560" />
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 				<port id="0" precision="FP16">
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@@ -26046,7 +22301,7 @@
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 			</output>
 		</layer>
-		<layer id="1603" name="Reshape_6720" type="Convert" version="opset1">
+		<layer id="1329" name="__module.down_blocks.3.resnets.0.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -26068,7 +22323,7 @@
 				</port>
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 		</layer>
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 			<data auto_broadcast="numpy" />
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@@ -26085,7 +22340,7 @@
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-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.0/conv1/Conv_output_0">
+				<port id="2" precision="FP32" names="1456,hidden_states.237">
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 					<dim>1280</dim>
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@@ -26093,8 +22348,8 @@
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-		<layer id="1605" name="down_blocks.3.resnets.0.time_emb_proj.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="408471602" size="3276800" />
+		<layer id="1331" name="self.down_blocks.3.resnets.0.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="408295192" size="3276800" />
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 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -26102,7 +22357,7 @@
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 			</output>
 		</layer>
-		<layer id="1606" name="down_blocks.3.resnets.0.time_emb_proj.weight" type="Convert" version="opset1">
+		<layer id="1332" name="self.down_blocks.3.resnets.0.time_emb_proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -26114,13 +22369,13 @@
 				</port>
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-				<port id="1" precision="FP32" names="down_blocks.3.resnets.0.time_emb_proj.weight">
+				<port id="1" precision="FP32" names="self.down_blocks.3.resnets.0.time_emb_proj.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
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 			</output>
 		</layer>
-		<layer id="1607" name="/down_blocks.3/resnets.0/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+		<layer id="1333" name="__module.down_blocks.3.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26139,8 +22394,8 @@
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 			</output>
 		</layer>
-		<layer id="1608" name="Constant_75043_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280" offset="411748402" size="2560" />
+		<layer id="1334" name="Constant_190258_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280" offset="411571992" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -26148,7 +22403,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1609" name="Constant_75043" type="Convert" version="opset1">
+		<layer id="1335" name="Constant_190258" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -26166,7 +22421,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1610" name="/down_blocks.3/resnets.0/time_emb_proj/Gemm" type="Add" version="opset1">
+		<layer id="1336" name="__module.down_blocks.3.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26179,59 +22434,51 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.0/time_emb_proj/Gemm_output_0">
+				<port id="2" precision="FP32" names="1460,1461,1462">
 					<dim>1</dim>
 					<dim>1280</dim>
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-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="1337" name="1432" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="6790128" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.3/resnets.0/Constant_output_0">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I64" names="1432" />
 			</output>
 		</layer>
-		<layer id="1612" name="/down_blocks.3/resnets.0/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1338" name="__module.down_blocks.3.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
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+				<port id="1" precision="I64" />
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.0/Unsqueeze_output_0">
+				<port id="2" precision="FP32" names="1463">
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 					<dim>1280</dim>
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-			<data element_type="i64" shape="1" offset="7064744" size="8" />
+		<layer id="1339" name="1433" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="6790136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/down_blocks.3/resnets.0/Constant_1_output_0">
-					<dim>1</dim>
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+				<port id="0" precision="I64" names="1433" />
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 		</layer>
-		<layer id="1614" name="/down_blocks.3/resnets.0/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1340" name="__module.down_blocks.3.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
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-				<port id="1" precision="I64">
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+				<port id="1" precision="I64" />
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.0/Unsqueeze_1_output_0">
+				<port id="2" precision="FP32" names="1464,temb.13">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -26239,7 +22486,7 @@
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 			</output>
 		</layer>
-		<layer id="1615" name="/down_blocks.3/resnets.0/Add" type="Add" version="opset1">
+		<layer id="1341" name="__module.down_blocks.3.resnets.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26256,7 +22503,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.0/Add_output_0">
+				<port id="2" precision="FP32" names="1465,input.207">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -26264,15 +22511,18 @@
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-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="1342" name="__module.down_blocks.3.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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 			<output>
-				<port id="0" precision="I64" names="/down_blocks.3/resnets.0/norm2/Constant_output_0">
+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="1617" name="/down_blocks.3/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+		<layer id="1343" name="__module.down_blocks.3.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
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@@ -26281,27 +22531,27 @@
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 					<dim>8</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
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+				<port id="2" precision="FP32">
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 					<dim>32</dim>
 					<dim>2560</dim>
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-		<layer id="1618" name="Constant_6768" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="1344" name="__module.down_blocks.3.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
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-		<layer id="1619" name="MVN_6769" type="MVN" version="opset6">
+		<layer id="1345" name="__module.down_blocks.3.resnets.0.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26309,20 +22559,20 @@
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 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.0/norm2/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
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 					<dim>32</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="1620" name="/down_blocks.3/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
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+		<layer id="1346" name="__module.down_blocks.3.resnets.0.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
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@@ -26332,12 +22582,12 @@
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 			</input>
 			<output>
-				<port id="1" precision="I64" names="/down_blocks.3/resnets.0/norm2/Shape_output_0">
+				<port id="1" precision="I32">
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 		</layer>
-		<layer id="1621" name="/down_blocks.3/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1347" name="__module.down_blocks.3.resnets.0.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
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 				<port id="0" precision="FP32">
@@ -26345,12 +22595,12 @@
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 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.0/norm2/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -26358,8 +22608,8 @@
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -26369,7 +22619,7 @@
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 			</output>
 		</layer>
-		<layer id="1623" name="Constant_75044" type="Convert" version="opset1">
+		<layer id="1349" name="Constant_190259" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -26391,7 +22641,7 @@
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 		</layer>
-		<layer id="1624" name="/down_blocks.3/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+		<layer id="1350" name="__module.down_blocks.3.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -26408,7 +22658,7 @@
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+				<port id="2" precision="FP32">
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 					<dim>1280</dim>
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@@ -26416,8 +22666,8 @@
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-		<layer id="1625" name="Constant_75045_compressed" type="Const" version="opset1">
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+		<layer id="1351" name="Constant_190260_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
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@@ -26427,7 +22677,7 @@
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-		<layer id="1626" name="Constant_75045" type="Convert" version="opset1">
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@@ -26449,7 +22699,7 @@
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+				<port id="2" precision="FP32" names="1468,input.209">
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@@ -26474,7 +22724,7 @@
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@@ -26484,7 +22734,7 @@
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-				<port id="1" precision="FP32" names="/down_blocks.3/resnets.0/nonlinearity_1/Mul_output_0">
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@@ -26492,8 +22742,8 @@
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+			<data element_type="f16" shape="1280, 1280, 3, 3" offset="411579672" size="29491200" />
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@@ -26503,7 +22753,7 @@
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@@ -26517,7 +22767,7 @@
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@@ -26525,7 +22775,7 @@
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 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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@@ -26550,8 +22800,8 @@
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-			<data element_type="f16" shape="1, 1280, 1, 1" offset="441247282" size="2560" />
+		<layer id="1358" name="__module.down_blocks.3.resnets.0.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
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@@ -26561,7 +22811,7 @@
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-		<layer id="1633" name="Reshape_6893" type="Convert" version="opset1">
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@@ -26583,7 +22833,7 @@
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+		<layer id="1360" name="__module.down_blocks.3.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
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@@ -26600,7 +22850,7 @@
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+				<port id="2" precision="FP32" names="1477,hidden_states.241">
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@@ -26608,7 +22858,7 @@
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+		<layer id="1361" name="__module.down_blocks.3.resnets.0/aten::add/Add_1" type="Add" version="opset1">
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@@ -26625,7 +22875,7 @@
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@@ -26633,15 +22883,18 @@
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+		<layer id="1362" name="__module.down_blocks.3.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+				<port id="0" precision="I32">
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@@ -26650,27 +22903,27 @@
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-		<layer id="1638" name="Constant_6933" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="1364" name="__module.down_blocks.3.resnets.1.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
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-		<layer id="1639" name="MVN_6934" type="MVN" version="opset6">
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 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -26678,20 +22931,20 @@
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-				<port id="1" precision="I64">
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 					<dim>32</dim>
 					<dim>2560</dim>
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-		<layer id="1640" name="/down_blocks.3/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1366" name="__module.down_blocks.3.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
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 				<port id="0" precision="FP32">
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@@ -26701,12 +22954,12 @@
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+				<port id="1" precision="I32">
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-		<layer id="1641" name="/down_blocks.3/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1367" name="__module.down_blocks.3.resnets.1.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
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@@ -26714,12 +22967,12 @@
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 					<dim>2560</dim>
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-				<port id="1" precision="I64">
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+				<port id="2" precision="FP32">
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@@ -26727,8 +22980,8 @@
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-			<data element_type="f16" shape="1, 1280, 1, 1" offset="441249842" size="2560" />
+		<layer id="1368" name="Constant_190261_compressed" type="Const" version="opset1">
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@@ -26738,7 +22991,7 @@
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-		<layer id="1643" name="Constant_75046" type="Convert" version="opset1">
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@@ -26760,7 +23013,7 @@
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 			<data auto_broadcast="numpy" />
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@@ -26777,7 +23030,7 @@
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@@ -26785,8 +23038,8 @@
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+		<layer id="1371" name="Constant_190262_compressed" type="Const" version="opset1">
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@@ -26796,7 +23049,7 @@
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-		<layer id="1646" name="Constant_75047" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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@@ -26818,7 +23071,7 @@
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@@ -26835,7 +23088,7 @@
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+				<port id="2" precision="FP32" names="1488,input.215">
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@@ -26843,7 +23096,7 @@
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 				<port id="0" precision="FP32">
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@@ -26853,7 +23106,7 @@
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@@ -26861,8 +23114,8 @@
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+			<data element_type="f16" shape="1280, 1280, 3, 3" offset="441078552" size="29491200" />
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@@ -26872,7 +23125,7 @@
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@@ -26886,7 +23139,7 @@
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-				<port id="1" precision="FP32" names="down_blocks.3.resnets.1.conv1.weight">
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@@ -26894,7 +23147,7 @@
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@@ -26919,8 +23172,8 @@
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@@ -26930,7 +23183,7 @@
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@@ -26952,7 +23205,7 @@
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@@ -26969,7 +23222,7 @@
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@@ -26977,8 +23230,8 @@
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-			<data element_type="f16" shape="1280, 1280" offset="470748722" size="3276800" />
+		<layer id="1381" name="self.down_blocks.3.resnets.1.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="470572312" size="3276800" />
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@@ -26986,7 +23239,7 @@
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@@ -26998,13 +23251,13 @@
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 			<data transpose_a="false" transpose_b="true" />
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@@ -27023,8 +23276,8 @@
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-		<layer id="1658" name="Constant_75048_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280" offset="474025522" size="2560" />
+		<layer id="1384" name="Constant_190263_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280" offset="473849112" size="2560" />
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@@ -27032,7 +23285,7 @@
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 		</layer>
-		<layer id="1659" name="Constant_75048" type="Convert" version="opset1">
+		<layer id="1385" name="Constant_190263" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -27050,7 +23303,7 @@
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 		</layer>
-		<layer id="1660" name="/down_blocks.3/resnets.1/time_emb_proj/Gemm" type="Add" version="opset1">
+		<layer id="1386" name="__module.down_blocks.3.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -27063,59 +23316,39 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/time_emb_proj/Gemm_output_0">
+				<port id="2" precision="FP32" names="1500,1501,1502">
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 					<dim>1280</dim>
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-		<layer id="1661" name="/down_blocks.3/resnets.1/Constant" type="Const" version="opset1">
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-				<port id="0" precision="I64" names="/down_blocks.3/resnets.1/Constant_output_0">
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-			</output>
-		</layer>
-		<layer id="1662" name="/down_blocks.3/resnets.1/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1387" name="__module.down_blocks.3.resnets.1/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>1280</dim>
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-				<port id="1" precision="I64">
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+				<port id="1" precision="I64" />
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-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/Unsqueeze_output_0">
+				<port id="2" precision="FP32" names="1503">
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 					<dim>1280</dim>
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-		<layer id="1663" name="/down_blocks.3/resnets.1/Constant_1" type="Const" version="opset1">
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-				<port id="0" precision="I64" names="/down_blocks.3/resnets.1/Constant_1_output_0">
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-			</output>
-		</layer>
-		<layer id="1664" name="/down_blocks.3/resnets.1/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1388" name="__module.down_blocks.3.resnets.1/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
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 				<port id="0" precision="FP32">
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 					<dim>1280</dim>
 					<dim>1</dim>
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-				<port id="1" precision="I64">
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+				<port id="1" precision="I64" />
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+				<port id="2" precision="FP32" names="1504,temb.15">
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 					<dim>1280</dim>
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@@ -27123,7 +23356,7 @@
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 		</layer>
-		<layer id="1665" name="/down_blocks.3/resnets.1/Add" type="Add" version="opset1">
+		<layer id="1389" name="__module.down_blocks.3.resnets.1/aten::add/Add" type="Add" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
@@ -27140,7 +23373,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/Add_output_0">
+				<port id="2" precision="FP32" names="1505,input.219">
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 					<dim>1280</dim>
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@@ -27148,15 +23381,18 @@
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-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="1390" name="__module.down_blocks.3.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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 			<output>
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+				<port id="0" precision="I32">
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-		<layer id="1667" name="/down_blocks.3/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+		<layer id="1391" name="__module.down_blocks.3.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
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@@ -27165,27 +23401,27 @@
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 					<dim>8</dim>
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 			<output>
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+				<port id="2" precision="FP32">
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 					<dim>32</dim>
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-		<layer id="1668" name="Constant_7106" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="1392" name="__module.down_blocks.3.resnets.1.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
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-		<layer id="1669" name="MVN_7107" type="MVN" version="opset6">
+		<layer id="1393" name="__module.down_blocks.3.resnets.1.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -27193,20 +23429,20 @@
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 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/norm2/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
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 					<dim>32</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="1670" name="/down_blocks.3/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1394" name="__module.down_blocks.3.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
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@@ -27216,12 +23452,12 @@
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 			</input>
 			<output>
-				<port id="1" precision="I64" names="/down_blocks.3/resnets.1/norm2/Shape_output_0">
+				<port id="1" precision="I32">
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 		</layer>
-		<layer id="1671" name="/down_blocks.3/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1395" name="__module.down_blocks.3.resnets.1.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27229,12 +23465,12 @@
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/norm2/Reshape_1_output_0">
+				<port id="2" precision="FP32">
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 					<dim>1280</dim>
 					<dim>8</dim>
@@ -27242,8 +23478,8 @@
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 		</layer>
-		<layer id="1672" name="Constant_75049_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="474028082" size="2560" />
+		<layer id="1396" name="Constant_190264_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="473851672" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -27253,7 +23489,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1673" name="Constant_75049" type="Convert" version="opset1">
+		<layer id="1397" name="Constant_190264" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -27275,7 +23511,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1674" name="/down_blocks.3/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+		<layer id="1398" name="__module.down_blocks.3.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27292,7 +23528,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/norm2/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -27300,8 +23536,8 @@
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 		</layer>
-		<layer id="1675" name="Constant_75050_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="474030642" size="2560" />
+		<layer id="1399" name="Constant_190265_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="473854232" size="2560" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -27311,7 +23547,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1676" name="Constant_75050" type="Convert" version="opset1">
+		<layer id="1400" name="Constant_190265" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -27333,7 +23569,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1677" name="/down_blocks.3/resnets.1/norm2/Add" type="Add" version="opset1">
+		<layer id="1401" name="__module.down_blocks.3.resnets.1.norm2/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27350,7 +23586,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/norm2/Add_output_0">
+				<port id="2" precision="FP32" names="1508,input.221">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -27358,7 +23594,7 @@
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 			</output>
 		</layer>
-		<layer id="1678" name="/down_blocks.3/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="1402" name="__module.conv_act/aten::silu/Swish_24" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -27368,7 +23604,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/down_blocks.3/resnets.1/nonlinearity_1/Mul_output_0">
+				<port id="1" precision="FP32" names="1509,input.223">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -27376,8 +23612,8 @@
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 		</layer>
-		<layer id="1679" name="down_blocks.3.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280, 3, 3" offset="474033202" size="29491200" />
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+			<data element_type="f16" shape="1280, 1280, 3, 3" offset="473856792" size="29491200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -27387,7 +23623,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1680" name="down_blocks.3.resnets.1.conv2.weight" type="Convert" version="opset1">
+		<layer id="1404" name="self.down_blocks.3.resnets.1.conv2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -27401,7 +23637,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="down_blocks.3.resnets.1.conv2.weight">
+				<port id="1" precision="FP32" names="self.down_blocks.3.resnets.1.conv2.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -27409,7 +23645,7 @@
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 			</output>
 		</layer>
-		<layer id="1681" name="/down_blocks.3/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="1405" name="__module.down_blocks.3.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27434,8 +23670,8 @@
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 			</output>
 		</layer>
-		<layer id="1682" name="Reshape_7231_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="503524402" size="2560" />
+		<layer id="1406" name="__module.down_blocks.3.resnets.1.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="503347992" size="2560" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -27445,7 +23681,7 @@
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 			</output>
 		</layer>
-		<layer id="1683" name="Reshape_7231" type="Convert" version="opset1">
+		<layer id="1407" name="__module.down_blocks.3.resnets.1.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -27467,7 +23703,7 @@
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 			</output>
 		</layer>
-		<layer id="1684" name="/down_blocks.3/resnets.1/conv2/Conv" type="Add" version="opset1">
+		<layer id="1408" name="__module.down_blocks.3.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27484,7 +23720,7 @@
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 			<output>
-				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/conv2/Conv_output_0">
+				<port id="2" precision="FP32" names="1517,hidden_states.249">
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 					<dim>1280</dim>
 					<dim>8</dim>
@@ -27492,7 +23728,7 @@
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 		</layer>
-		<layer id="1685" name="/down_blocks.3/resnets.1/Add_1" type="Add" version="opset1">
+		<layer id="1409" name="__module.down_blocks.3.resnets.1/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -27509,7 +23745,7 @@
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 					<dim>1280</dim>
 					<dim>8</dim>
@@ -27517,15 +23753,18 @@
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-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="1410" name="__module.mid_block.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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-				<port id="0" precision="I64" names="/mid_block/resnets.0/norm1/Constant_output_0">
+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="1687" name="/mid_block/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
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 			<data special_zero="true" />
 			<input>
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@@ -27534,27 +23773,27 @@
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 					<dim>8</dim>
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-				<port id="1" precision="I64">
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-				<port id="2" precision="FP32" names="/mid_block/resnets.0/norm1/Reshape_output_0">
+				<port id="2" precision="FP32">
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 					<dim>32</dim>
 					<dim>2560</dim>
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-		<layer id="1688" name="Constant_7271" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="1412" name="__module.mid_block.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
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+				<port id="0" precision="I32">
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 			</output>
 		</layer>
-		<layer id="1689" name="MVN_7272" type="MVN" version="opset6">
+		<layer id="1413" name="__module.mid_block.resnets.0.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27562,20 +23801,20 @@
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.0/norm1/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1690" name="/mid_block/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1414" name="__module.mid_block.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -27585,12 +23824,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/mid_block/resnets.0/norm1/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1691" name="/mid_block/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1415" name="__module.mid_block.resnets.0.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27598,12 +23837,12 @@
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.0/norm1/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -27611,8 +23850,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1692" name="Constant_75051_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="503526962" size="2560" />
+		<layer id="1416" name="Constant_190266_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="503350552" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -27622,7 +23861,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1693" name="Constant_75051" type="Convert" version="opset1">
+		<layer id="1417" name="Constant_190266" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -27644,7 +23883,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1694" name="/mid_block/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+		<layer id="1418" name="__module.mid_block.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27661,7 +23900,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.0/norm1/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -27669,8 +23908,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1695" name="Constant_75052_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="503529522" size="2560" />
+		<layer id="1419" name="Constant_190267_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="503353112" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -27680,7 +23919,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1696" name="Constant_75052" type="Convert" version="opset1">
+		<layer id="1420" name="Constant_190267" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -27702,7 +23941,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1697" name="/mid_block/resnets.0/norm1/Add" type="Add" version="opset1">
+		<layer id="1421" name="__module.mid_block.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27719,7 +23958,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.0/norm1/Add_output_0">
+				<port id="2" precision="FP32" names="1555,input.227">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -27727,7 +23966,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1698" name="/mid_block/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="1422" name="__module.conv_act/aten::silu/Swish_25" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -27737,7 +23976,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/mid_block/resnets.0/nonlinearity/Mul_output_0">
+				<port id="1" precision="FP32" names="1556,hidden_states.251">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -27745,8 +23984,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1699" name="mid_block.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280, 3, 3" offset="503532082" size="29491200" />
+		<layer id="1423" name="self.mid_block.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280, 3, 3" offset="503355672" size="29491200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -27756,7 +23995,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1700" name="mid_block.resnets.0.conv1.weight" type="Convert" version="opset1">
+		<layer id="1424" name="self.mid_block.resnets.0.conv1.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -27770,7 +24009,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="mid_block.resnets.0.conv1.weight">
+				<port id="1" precision="FP32" names="self.mid_block.resnets.0.conv1.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -27778,7 +24017,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1701" name="/mid_block/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="1425" name="__module.mid_block.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27803,8 +24042,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1702" name="Reshape_7396_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="533023282" size="2560" />
+		<layer id="1426" name="__module.mid_block.resnets.0.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="532846872" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -27814,7 +24053,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1703" name="Reshape_7396" type="Convert" version="opset1">
+		<layer id="1427" name="__module.mid_block.resnets.0.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -27836,7 +24075,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1704" name="/mid_block/resnets.0/conv1/Conv" type="Add" version="opset1">
+		<layer id="1428" name="__module.mid_block.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27853,7 +24092,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.0/conv1/Conv_output_0">
+				<port id="2" precision="FP32" names="1563,hidden_states.253">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -27861,8 +24100,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1705" name="mid_block.resnets.0.time_emb_proj.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="533025842" size="3276800" />
+		<layer id="1429" name="self.mid_block.resnets.0.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="532849432" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -27870,7 +24109,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1706" name="mid_block.resnets.0.time_emb_proj.weight" type="Convert" version="opset1">
+		<layer id="1430" name="self.mid_block.resnets.0.time_emb_proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -27882,13 +24121,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="mid_block.resnets.0.time_emb_proj.weight">
+				<port id="1" precision="FP32" names="self.mid_block.resnets.0.time_emb_proj.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1707" name="/mid_block/resnets.0/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+		<layer id="1431" name="__module.mid_block.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27907,8 +24146,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1708" name="Constant_75053_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280" offset="536302642" size="2560" />
+		<layer id="1432" name="Constant_190268_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280" offset="536126232" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -27916,7 +24155,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1709" name="Constant_75053" type="Convert" version="opset1">
+		<layer id="1433" name="Constant_190268" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -27934,7 +24173,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1710" name="/mid_block/resnets.0/time_emb_proj/Gemm" type="Add" version="opset1">
+		<layer id="1434" name="__module.mid_block.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27947,59 +24186,51 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.0/time_emb_proj/Gemm_output_0">
+				<port id="2" precision="FP32" names="1567,1568,1569">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1711" name="/mid_block/resnets.0/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="1435" name="1537" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="6790128" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/mid_block/resnets.0/Constant_output_0">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I64" names="1537" />
 			</output>
 		</layer>
-		<layer id="1712" name="/mid_block/resnets.0/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1436" name="__module.mid_block.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.0/Unsqueeze_output_0">
+				<port id="2" precision="FP32" names="1570">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1713" name="/mid_block/resnets.0/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="7064744" size="8" />
+		<layer id="1437" name="1538" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="6790136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/mid_block/resnets.0/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I64" names="1538" />
 			</output>
 		</layer>
-		<layer id="1714" name="/mid_block/resnets.0/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1438" name="__module.mid_block.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.0/Unsqueeze_1_output_0">
+				<port id="2" precision="FP32" names="1571,temb.17">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -28007,7 +24238,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1715" name="/mid_block/resnets.0/Add" type="Add" version="opset1">
+		<layer id="1439" name="__module.mid_block.resnets.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28024,7 +24255,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.0/Add_output_0">
+				<port id="2" precision="FP32" names="1572,input.231">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -28032,15 +24263,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1716" name="/mid_block/resnets.0/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="1440" name="__module.mid_block.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/mid_block/resnets.0/norm2/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1717" name="/mid_block/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+		<layer id="1441" name="__module.mid_block.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28049,27 +24283,27 @@
 					<dim>8</dim>
 					<dim>8</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.0/norm2/Reshape_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1718" name="Constant_7444" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="1442" name="__module.mid_block.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1719" name="MVN_7445" type="MVN" version="opset6">
+		<layer id="1443" name="__module.mid_block.resnets.0.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28077,20 +24311,20 @@
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.0/norm2/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1720" name="/mid_block/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1444" name="__module.mid_block.resnets.0.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
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@@ -28100,12 +24334,12 @@
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-				<port id="1" precision="I64" names="/mid_block/resnets.0/norm2/Shape_output_0">
+				<port id="1" precision="I32">
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-		<layer id="1721" name="/mid_block/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1445" name="__module.mid_block.resnets.0.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
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@@ -28113,12 +24347,12 @@
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 					<dim>2560</dim>
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-				<port id="1" precision="I64">
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+				<port id="2" precision="FP32">
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@@ -28126,8 +24360,8 @@
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-			<data element_type="f16" shape="1, 1280, 1, 1" offset="536305202" size="2560" />
+		<layer id="1446" name="Constant_190269_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="536128792" size="2560" />
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@@ -28137,7 +24371,7 @@
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 			</output>
 		</layer>
-		<layer id="1723" name="Constant_75054" type="Convert" version="opset1">
+		<layer id="1447" name="Constant_190269" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -28159,7 +24393,7 @@
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+		<layer id="1448" name="__module.mid_block.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -28176,7 +24410,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.0/norm2/Mul_output_0">
+				<port id="2" precision="FP32">
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 					<dim>1280</dim>
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@@ -28184,8 +24418,8 @@
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-		<layer id="1725" name="Constant_75055_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="536307762" size="2560" />
+		<layer id="1449" name="Constant_190270_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
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@@ -28195,7 +24429,7 @@
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 			</output>
 		</layer>
-		<layer id="1726" name="Constant_75055" type="Convert" version="opset1">
+		<layer id="1450" name="Constant_190270" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -28217,7 +24451,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1727" name="/mid_block/resnets.0/norm2/Add" type="Add" version="opset1">
+		<layer id="1451" name="__module.mid_block.resnets.0.norm2/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -28234,7 +24468,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.0/norm2/Add_output_0">
+				<port id="2" precision="FP32" names="1575,input.233">
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 					<dim>1280</dim>
 					<dim>8</dim>
@@ -28242,7 +24476,7 @@
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 			</output>
 		</layer>
-		<layer id="1728" name="/mid_block/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="1452" name="__module.conv_act/aten::silu/Swish_27" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
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@@ -28252,7 +24486,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/mid_block/resnets.0/nonlinearity_1/Mul_output_0">
+				<port id="1" precision="FP32" names="1576,input.235">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -28260,8 +24494,8 @@
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-			<data element_type="f16" shape="1280, 1280, 3, 3" offset="536310322" size="29491200" />
+		<layer id="1453" name="self.mid_block.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280, 3, 3" offset="536133912" size="29491200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -28271,7 +24505,7 @@
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-		<layer id="1730" name="mid_block.resnets.0.conv2.weight" type="Convert" version="opset1">
+		<layer id="1454" name="self.mid_block.resnets.0.conv2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -28285,7 +24519,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="mid_block.resnets.0.conv2.weight">
+				<port id="1" precision="FP32" names="self.mid_block.resnets.0.conv2.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -28293,7 +24527,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1731" name="/mid_block/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="1455" name="__module.mid_block.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28318,8 +24552,8 @@
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 		</layer>
-		<layer id="1732" name="Reshape_7569_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="565801522" size="2560" />
+		<layer id="1456" name="__module.mid_block.resnets.0.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="565625112" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -28329,7 +24563,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1733" name="Reshape_7569" type="Convert" version="opset1">
+		<layer id="1457" name="__module.mid_block.resnets.0.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -28351,7 +24585,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="1458" name="__module.mid_block.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28368,7 +24602,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.0/conv2/Conv_output_0">
+				<port id="2" precision="FP32" names="1584,hidden_states.257">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -28376,7 +24610,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1735" name="/mid_block/resnets.0/Add_1" type="Add" version="opset1">
+		<layer id="1459" name="__module.mid_block.resnets.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28393,7 +24627,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.0/Add_1_output_0,/mid_block/resnets.0/Div_output_0">
+				<port id="2" precision="FP32" names="1585,1586,hidden_states.259">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -28401,15 +24635,18 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="1460" name="__module.mid_block.attentions.0.norm/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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 			<output>
-				<port id="0" precision="I64" names="/mid_block/attentions.0/norm/Constant_output_0">
+				<port id="0" precision="I32">
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 			</output>
 		</layer>
-		<layer id="1737" name="/mid_block/attentions.0/norm/Reshape" type="Reshape" version="opset1">
+		<layer id="1461" name="__module.mid_block.attentions.0.norm/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28418,27 +24655,27 @@
 					<dim>8</dim>
 					<dim>8</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/norm/Reshape_output_0">
+				<port id="2" precision="FP32">
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 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1738" name="Constant_7609" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="1462" name="__module.mid_block.attentions.0.norm/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
-				<port id="0" precision="I64">
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 				</port>
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 		</layer>
-		<layer id="1739" name="MVN_7610" type="MVN" version="opset6">
+		<layer id="1463" name="__module.mid_block.attentions.0.norm/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28446,20 +24683,20 @@
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/norm/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1740" name="/mid_block/attentions.0/norm/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1464" name="__module.mid_block.attentions.0.norm/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -28469,12 +24706,12 @@
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 			</input>
 			<output>
-				<port id="1" precision="I64" names="/mid_block/attentions.0/norm/Shape_output_0">
+				<port id="1" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="1741" name="/mid_block/attentions.0/norm/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1465" name="__module.mid_block.attentions.0.norm/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28482,12 +24719,12 @@
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/norm/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -28495,8 +24732,8 @@
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 			</output>
 		</layer>
-		<layer id="1742" name="Constant_75056_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="565804082" size="2560" />
+		<layer id="1466" name="Constant_190271_compressed" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -28506,7 +24743,7 @@
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 			</output>
 		</layer>
-		<layer id="1743" name="Constant_75056" type="Convert" version="opset1">
+		<layer id="1467" name="Constant_190271" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -28528,7 +24765,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1744" name="/mid_block/attentions.0/norm/Mul" type="Multiply" version="opset1">
+		<layer id="1468" name="__module.mid_block.attentions.0.norm/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28545,7 +24782,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/norm/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -28553,8 +24790,8 @@
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-		<layer id="1745" name="Constant_75057_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="565806642" size="2560" />
+		<layer id="1469" name="Constant_190272_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="565630232" size="2560" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -28564,7 +24801,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1746" name="Constant_75057" type="Convert" version="opset1">
+		<layer id="1470" name="Constant_190272" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -28586,7 +24823,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1747" name="/mid_block/attentions.0/norm/Add" type="Add" version="opset1">
+		<layer id="1471" name="__module.mid_block.attentions.0.norm/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28603,7 +24840,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/norm/Add_output_0">
+				<port id="2" precision="FP32" names="1599,hidden_states.261">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -28611,8 +24848,8 @@
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-			<data element_type="f16" shape="1280, 1280, 1, 1" offset="565809202" size="3276800" />
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+			<data element_type="f16" shape="1280, 1280, 1, 1" offset="565632792" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -28622,7 +24859,7 @@
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 			</output>
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-		<layer id="1749" name="mid_block.attentions.0.proj_in.weight" type="Convert" version="opset1">
+		<layer id="1473" name="self.mid_block.attentions.0.proj_in.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -28636,7 +24873,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="mid_block.attentions.0.proj_in.weight">
+				<port id="1" precision="FP32" names="self.mid_block.attentions.0.proj_in.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -28644,7 +24881,7 @@
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 			</output>
 		</layer>
-		<layer id="1750" name="/mid_block/attentions.0/proj_in/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="1474" name="__module.mid_block.attentions.0.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28669,8 +24906,8 @@
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 			</output>
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-		<layer id="1751" name="Reshape_7732_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="569086002" size="2560" />
+		<layer id="1475" name="__module.mid_block.attentions.0.proj_in/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="568909592" size="2560" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -28680,7 +24917,7 @@
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 			</output>
 		</layer>
-		<layer id="1752" name="Reshape_7732" type="Convert" version="opset1">
+		<layer id="1476" name="__module.mid_block.attentions.0.proj_in/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -28702,7 +24939,7 @@
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 		</layer>
-		<layer id="1753" name="/mid_block/attentions.0/proj_in/Conv" type="Add" version="opset1">
+		<layer id="1477" name="__module.mid_block.attentions.0.proj_in/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28719,7 +24956,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/proj_in/Conv_output_0">
+				<port id="2" precision="FP32" names="1606,hidden_states.263">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -28727,15 +24964,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1754" name="Constant_7760" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9116592" size="32" />
+		<layer id="1478" name="Constant_75917" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="8841984" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="1608">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1755" name="/mid_block/attentions.0/Transpose" type="Transpose" version="opset1">
+		<layer id="1479" name="__module.mid_block.attentions.0/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -28748,7 +24985,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/Transpose_output_0">
+				<port id="2" precision="FP32" names="1609">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>8</dim>
@@ -28756,15 +24993,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1756" name="/mid_block/attentions.0/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="569088562" size="24" />
+		<layer id="1480" name="Constant_196318" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="151265984" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/mid_block/attentions.0/Constant_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1757" name="/mid_block/attentions.0/Reshape" type="Reshape" version="opset1">
+		<layer id="1481" name="__module.mid_block.attentions.0/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28778,22 +25018,22 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/Reshape_output_0">
+				<port id="2" precision="FP32" names="1613,hidden_states.265">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
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 			</output>
 		</layer>
-		<layer id="1758" name="Constant_7769" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="1482" name="__module.mid_block.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1759" name="/mid_block/attentions.0/transformer_blocks.0/norm1/Div" type="MVN" version="opset6">
+		<layer id="1483" name="__module.mid_block.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28801,20 +25041,20 @@
 					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/norm1/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1760" name="Constant_75058_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1280" offset="569088586" size="2560" />
+		<layer id="1484" name="Constant_190273_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="568912152" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -28823,7 +25063,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1761" name="Constant_75058" type="Convert" version="opset1">
+		<layer id="1485" name="Constant_190273" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -28843,7 +25083,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1762" name="/mid_block/attentions.0/transformer_blocks.0/norm1/Mul" type="Multiply" version="opset1">
+		<layer id="1486" name="__module.mid_block.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28858,15 +25098,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/norm1/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1763" name="Constant_75059_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1280" offset="569091146" size="2560" />
+		<layer id="1487" name="Constant_190274_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="568914712" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -28875,7 +25115,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1764" name="Constant_75059" type="Convert" version="opset1">
+		<layer id="1488" name="Constant_190274" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -28895,7 +25135,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1765" name="/mid_block/attentions.0/transformer_blocks.0/norm1/Add_1" type="Add" version="opset1">
+		<layer id="1489" name="__module.mid_block.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28910,15 +25150,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/norm1/Add_1_output_0">
+				<port id="2" precision="FP32" names="1623,hidden_states.267">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1766" name="Constant_73466_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="569093706" size="3276800" />
+		<layer id="1490" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_q.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="568917272" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -28926,7 +25166,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1767" name="Constant_73466" type="Convert" version="opset1">
+		<layer id="1491" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_q.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -28938,13 +25178,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_q.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1768" name="/mid_block/attentions.0/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+		<layer id="1492" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28958,22 +25198,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+				<port id="2" precision="FP32" names="1631,query.49">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1769" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="572370506" size="32" />
+		<layer id="1493" name="Constant_196319" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1770" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
+		<layer id="1494" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28986,7 +25229,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Reshape_output_0">
+				<port id="2" precision="FP32" names="1643">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>8</dim>
@@ -28994,15 +25237,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1771" name="Constant_7792" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="1495" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1772" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+		<layer id="1496" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -29010,50 +25253,21 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Transpose_output_0">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>64</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1773" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="572370538" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_1_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1774" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="1644,query.51">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>64</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Reshape_1_output_0">
-					<dim>8</dim>
-					<dim>64</dim>
-					<dim>160</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="1775" name="Constant_73473_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="572370562" size="3276800" />
+		<layer id="1497" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="572194072" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -29061,7 +25275,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1776" name="Constant_73473" type="Convert" version="opset1">
+		<layer id="1498" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -29073,13 +25287,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_k.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1777" name="/mid_block/attentions.0/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="1499" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29093,22 +25307,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="1633,key.49">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1778" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="572370506" size="32" />
+		<layer id="1500" name="Constant_196320" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1779" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+		<layer id="1501" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29121,7 +25338,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="1646">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>8</dim>
@@ -29129,15 +25346,15 @@
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 			</output>
 		</layer>
-		<layer id="1780" name="Constant_7808" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="1502" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1781" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1503" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -29145,12 +25362,12 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="1647,key.51">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>64</dim>
@@ -29158,128 +25375,8 @@
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 			</output>
 		</layer>
-		<layer id="1782" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_3_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1783" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>64</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Reshape_3_output_0">
-					<dim>8</dim>
-					<dim>64</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1784" name="Constant_75060_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="158057400" size="2" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1785" name="Constant_75060" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1786" name="Multiply_74251" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>64</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>8</dim>
-					<dim>64</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1787" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>64</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>64</dim>
-					<dim>160</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Mul_output_0">
-					<dim>8</dim>
-					<dim>64</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1788" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>64</dim>
-					<dim>64</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Softmax_output_0">
-					<dim>8</dim>
-					<dim>64</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1789" name="Constant_73480_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="575647362" size="3276800" />
+		<layer id="1504" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="575470872" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -29287,7 +25384,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1790" name="Constant_73480" type="Convert" version="opset1">
+		<layer id="1505" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -29299,13 +25396,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_v.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1791" name="/mid_block/attentions.0/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="1506" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29319,22 +25416,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="1635,value.49">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1792" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="572370506" size="32" />
+		<layer id="1507" name="Constant_196321" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1793" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Reshape_4" type="Reshape" version="opset1">
+		<layer id="1508" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29347,7 +25447,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="1649">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>8</dim>
@@ -29355,15 +25455,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1794" name="Constant_7824" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="1509" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1795" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1510" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -29371,12 +25471,12 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="1650,value.51">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>64</dim>
@@ -29384,16 +25484,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1796" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="572370538" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_5_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1797" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="1511" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -29401,62 +25493,21 @@
 					<dim>64</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Reshape_5_output_0">
-					<dim>8</dim>
-					<dim>64</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1798" name="/mid_block/attentions.0/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>64</dim>
-					<dim>64</dim>
-				</port>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>64</dim>
 					<dim>160</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/MatMul_1_output_0">
-					<dim>8</dim>
-					<dim>64</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1799" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="578924162" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_7_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1800" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>64</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Reshape_6_output_0">
+				<port id="3" precision="FP32" names="1651,hidden_states.269">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>64</dim>
@@ -29464,15 +25515,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1801" name="Constant_7847" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="1512" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1802" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Transpose_4" type="Transpose" version="opset1">
+		<layer id="1513" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -29480,12 +25531,12 @@
 					<dim>64</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="1652">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>8</dim>
@@ -29493,15 +25544,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1803" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="569088562" size="24" />
+		<layer id="1514" name="Constant_196322" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="161101560" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_8_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1804" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Reshape_7" type="Reshape" version="opset1">
+		<layer id="1515" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29515,15 +25569,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Reshape_7_output_0">
+				<port id="2" precision="FP32" names="1656,1657,hidden_states.271,input.237">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1805" name="Constant_73487_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="578924194" size="3276800" />
+		<layer id="1516" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="578747672" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -29531,7 +25585,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1806" name="Constant_73487" type="Convert" version="opset1">
+		<layer id="1517" name="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -29543,13 +25597,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.mid_block.attentions.0.transformer_blocks.0.attn1.to_out.0.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1807" name="/mid_block/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="1518" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29563,36 +25617,44 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1808" name="/mid_block/attentions.0/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
+		<layer id="1519" name="Constant_190275_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="582024472" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="1520" name="Constant_190275" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1809" name="/mid_block/attentions.0/transformer_blocks.0/Add" type="Add" version="opset1">
+		<layer id="1521" name="__module.mid_block.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29602,100 +25664,70 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>64</dim>
+					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/Add_output_0">
+				<port id="2" precision="FP32" names="1660,1662,attn_output.25,input.239">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1810" name="Constant_7859" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
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-		</layer>
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-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="1522" name="__module.mid_block.attentions.0.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/norm2/Div_output_0">
+				<port id="2" precision="FP32" names="1663,input.241">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
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-			<data element_type="f16" shape="1, 1, 1280" offset="582200994" size="2560" />
+		<layer id="1523" name="__module.mid_block.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
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-					<dim>1</dim>
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-		<layer id="1813" name="Constant_75062" type="Convert" version="opset1">
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-				<attribute name="decompression" version="0" />
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-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="1814" name="/mid_block/attentions.0/transformer_blocks.0/norm2/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1524" name="__module.mid_block.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="FP32">
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+				<port id="1" precision="I32">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/norm2/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
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-		<layer id="1815" name="Constant_75063_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1280" offset="582203554" size="2560" />
+		<layer id="1525" name="Constant_190276_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="582027032" size="2560" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -29704,7 +25736,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1816" name="Constant_75063" type="Convert" version="opset1">
+		<layer id="1526" name="Constant_190276" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -29724,7 +25756,7 @@
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 		</layer>
-		<layer id="1817" name="/mid_block/attentions.0/transformer_blocks.0/norm2/Add_1" type="Add" version="opset1">
+		<layer id="1527" name="__module.mid_block.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -29739,42 +25771,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/norm2/Add_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>64</dim>
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-			<data element_type="f16" shape="1280, 1280" offset="582206114" size="3276800" />
+		<layer id="1528" name="Constant_190277_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="582029592" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1280</dim>
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 		</layer>
-		<layer id="1819" name="Constant_73495" type="Convert" version="opset1">
+		<layer id="1529" name="Constant_190277" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1820" name="/mid_block/attentions.0/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
+		<layer id="1530" name="__module.mid_block.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -29782,107 +25817,119 @@
 					<dim>1280</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+				<port id="2" precision="FP32" names="1667,input.243">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1821" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="572370506" size="32" />
+		<layer id="1531" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_q.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="582032152" size="3276800" />
 			<output>
-				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_output_0">
-					<dim>4</dim>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1822" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="1532" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_q.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_q.weight">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1533" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_output_0">
+				<port id="2" precision="FP32" names="1675,query.53">
 					<dim>1</dim>
 					<dim>64</dim>
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-					<dim>160</dim>
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-			</output>
-		</layer>
-		<layer id="1823" name="Constant_7882" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1824" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+		<layer id="1534" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>64</dim>
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-					<dim>160</dim>
+					<dim>1280</dim>
 				</port>
 				<port id="1" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Transpose_output_0">
+				<port id="2" precision="FP32" names="1687">
 					<dim>1</dim>
-					<dim>8</dim>
 					<dim>64</dim>
+					<dim>8</dim>
 					<dim>160</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1825" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="572370538" size="24" />
+		<layer id="1535" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_1_output_0">
-					<dim>3</dim>
+				<port id="0" precision="I32">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1826" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="1536" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>8</dim>
 					<dim>64</dim>
+					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="1688,query.55">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>64</dim>
 					<dim>160</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1827" name="Constant_73502_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 768" offset="585482914" size="1966080" />
+		<layer id="1537" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 768" offset="585308952" size="1966080" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -29890,7 +25937,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1828" name="Constant_73502" type="Convert" version="opset1">
+		<layer id="1538" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -29902,13 +25949,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_k.weight">
 					<dim>1280</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1829" name="/mid_block/attentions.0/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="1539" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29922,22 +25969,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="1677,key.53">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1830" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="169859034" size="32" />
+		<layer id="1540" name="Constant_196323" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1831" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+		<layer id="1541" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29950,7 +26000,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="1690">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -29958,15 +26008,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1832" name="Constant_7898" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="1542" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1833" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1543" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -29974,141 +26024,21 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			<output>
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-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
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-		<layer id="1834" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="169859066" size="24" />
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-				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_3_output_0">
-					<dim>3</dim>
-				</port>
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-		</layer>
-		<layer id="1835" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
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-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
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-				<port id="1" precision="I64">
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-			<output>
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-					<dim>77</dim>
-					<dim>160</dim>
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-		</layer>
-		<layer id="1836" name="Constant_75064_compressed" type="Const" version="opset1">
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-		<layer id="1837" name="Constant_75064" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
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-					<dim>1</dim>
-					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="1838" name="Multiply_74253" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1691,key.55">
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-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
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 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>160</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1839" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>64</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Mul_output_0">
-					<dim>8</dim>
-					<dim>64</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1840" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>64</dim>
-					<dim>77</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Softmax_output_0">
-					<dim>8</dim>
-					<dim>64</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1841" name="Constant_73509_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 768" offset="587448994" size="1966080" />
+		<layer id="1544" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 768" offset="587275032" size="1966080" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -30116,7 +26046,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1842" name="Constant_73509" type="Convert" version="opset1">
+		<layer id="1545" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -30128,13 +26058,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_v.weight">
 					<dim>1280</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1843" name="/mid_block/attentions.0/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="1546" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30148,22 +26078,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="1679,value.53">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1844" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="169859034" size="32" />
+		<layer id="1547" name="Constant_196324" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1845" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_4" type="Reshape" version="opset1">
+		<layer id="1548" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30176,7 +26109,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="1693">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -30184,15 +26117,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1846" name="Constant_7914" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="1549" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1847" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1550" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -30200,12 +26133,12 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="1694,value.55">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
@@ -30213,79 +26146,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1848" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="169859066" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_5_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1849" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="1551" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_5_output_0">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1850" name="/mid_block/attentions.0/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
 					<dim>8</dim>
 					<dim>64</dim>
-					<dim>77</dim>
+					<dim>160</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>160</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/MatMul_1_output_0">
-					<dim>8</dim>
-					<dim>64</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1851" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="578924162" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_7_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1852" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
-					<dim>64</dim>
+					<dim>77</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_6_output_0">
+				<port id="3" precision="FP32" names="1695,hidden_states.275">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>64</dim>
@@ -30293,15 +26177,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1853" name="Constant_7937" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="1552" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1854" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Transpose_4" type="Transpose" version="opset1">
+		<layer id="1553" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -30309,12 +26193,12 @@
 					<dim>64</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="1696">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>8</dim>
@@ -30322,15 +26206,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1855" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="569088562" size="24" />
+		<layer id="1554" name="Constant_196325" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="161101560" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_8_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1856" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_7" type="Reshape" version="opset1">
+		<layer id="1555" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30344,15 +26231,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_7_output_0">
+				<port id="2" precision="FP32" names="1700,1701,hidden_states.277,input.245">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1857" name="Constant_73516_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="589415074" size="3276800" />
+		<layer id="1556" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="589241112" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -30360,7 +26247,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1858" name="Constant_73516" type="Convert" version="opset1">
+		<layer id="1557" name="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -30372,13 +26259,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1859" name="/mid_block/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="1558" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30392,36 +26279,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1860" name="/mid_block/attentions.0/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1559" name="Constant_190278_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="592517912" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1560" name="Constant_190278" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1561" name="__module.mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+				<port id="2" precision="FP32" names="1704,1706,attn_output.27,input.247">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1861" name="/mid_block/attentions.0/transformer_blocks.0/Add_1" type="Add" version="opset1">
+		<layer id="1562" name="__module.mid_block.attentions.0.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30436,22 +26353,22 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/Add_1_output_0">
+				<port id="2" precision="FP32" names="1707,input.249">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1862" name="Constant_7949" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="1563" name="__module.mid_block.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1863" name="/mid_block/attentions.0/transformer_blocks.0/norm3/Div" type="MVN" version="opset6">
+		<layer id="1564" name="__module.mid_block.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30459,20 +26376,20 @@
 					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/norm3/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1864" name="Constant_75066_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1280" offset="592691874" size="2560" />
+		<layer id="1565" name="Constant_190279_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="592520472" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -30481,7 +26398,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1865" name="Constant_75066" type="Convert" version="opset1">
+		<layer id="1566" name="Constant_190279" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -30501,7 +26418,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1866" name="/mid_block/attentions.0/transformer_blocks.0/norm3/Mul" type="Multiply" version="opset1">
+		<layer id="1567" name="__module.mid_block.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30516,15 +26433,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/norm3/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1867" name="Constant_75067_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1280" offset="592694434" size="2560" />
+		<layer id="1568" name="Constant_190280_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="592523032" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -30533,7 +26450,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1868" name="Constant_75067" type="Convert" version="opset1">
+		<layer id="1569" name="Constant_190280" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -30553,7 +26470,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1869" name="/mid_block/attentions.0/transformer_blocks.0/norm3/Add_1" type="Add" version="opset1">
+		<layer id="1570" name="__module.mid_block.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30568,15 +26485,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/norm3/Add_1_output_0">
+				<port id="2" precision="FP32" names="1711,input.251">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1870" name="Constant_73524_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1280" offset="592696994" size="26214400" />
+		<layer id="1571" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1280" offset="592525592" size="26214400" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -30584,7 +26501,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1871" name="Constant_73524" type="Convert" version="opset1">
+		<layer id="1572" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -30596,13 +26513,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj.weight">
 					<dim>10240</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1872" name="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul" type="MatMul" version="opset1">
+		<layer id="1573" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30616,349 +26533,226 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1873" name="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/proj/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
+		<layer id="1574" name="Constant_190281_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 10240" offset="618739992" size="20480" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="1575" name="Constant_190281" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>64</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/proj/Add_output_0">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>64</dim>
-					<dim>10240</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1874" name="Constant_65176" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1875" name="Constant_65177" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
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-				</port>
-			</output>
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-		<layer id="1876" name="Constant_65173" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
 					<dim>1</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
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-			<data output_type="i64" />
+		<layer id="1576" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>10240</dim>
 				</port>
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-				<port id="1" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Shape_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1878" name="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Constant" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Constant_output_0">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1879" name="Constant_7966" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
-			</output>
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-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
 					<dim>1</dim>
+					<dim>10240</dim>
 				</port>
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 			</input>
 			<output>
-				<port id="3" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Gather_output_0">
+				<port id="2" precision="FP32" names="1719">
 					<dim>1</dim>
+					<dim>64</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="2143392" size="8" />
+		<layer id="1577" name="1525" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="9869316" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Constant_2_output_0">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I64" names="1525" />
 			</output>
 		</layer>
-		<layer id="1882" name="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1578" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="1" precision="I64">
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 					<dim>1</dim>
+					<dim>64</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Add_output_0">
-					<dim>1</dim>
+				<port id="1" precision="I32">
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="1579" name="Constant_113245" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="12702620" size="4" />
 			<output>
-				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Constant_3_output_0">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" m_pythondiv="true" />
+		<layer id="1580" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="I32">
+					<dim>3</dim>
 				</port>
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+				<port id="1" precision="I64" />
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 				</port>
 			</input>
 			<output>
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-					<dim>1</dim>
-				</port>
+				<port id="3" precision="I32" />
 			</output>
 		</layer>
-		<layer id="1885" name="Constant_65172" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="12970946" size="4" />
+		<layer id="1581" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="23692" size="4" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
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 		</layer>
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+			<data auto_broadcast="numpy" m_pythondiv="true" />
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-				<port id="3" precision="I32">
-					<dim>1</dim>
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+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
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+				<port id="2" precision="I32" />
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 		</layer>
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+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
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 			<output>
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+		<layer id="1584" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
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+				<port id="0" precision="I32" />
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 			</input>
 			<output>
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 					<dim>1</dim>
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-			<output>
-				<port id="0" precision="I64">
+		<layer id="1585" name="Convert_195217" type="Convert" version="opset1">
+			<data destination_type="i32" />
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+				<port id="0" precision="BOOL">
 					<dim>1</dim>
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-		<layer id="1891" name="Constant_65243" type="Const" version="opset1">
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+		<layer id="1587" name="Constant_113246" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="2" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Mul_1_output_0">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1896" name="ScatterUpdate_65248" type="ScatterUpdate" version="opset3">
+		<layer id="1588" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="1" precision="I32">
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 			<output>
-				<port id="4" precision="I64">
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-		</layer>
-		<layer id="1897" name="Constant_65251" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="2" precision="I32">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1898" name="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1589" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
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 					<dim>64</dim>
 					<dim>10240</dim>
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-				<port id="2" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>2</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Slice_1_output_0">
+				<port id="3" precision="FP32" names="1721,hidden_states.281">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="4" precision="FP32" names="1722,gate.13">
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 					<dim>64</dim>
 					<dim>5120</dim>
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 		</layer>
-		<layer id="1899" name="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+		<layer id="1590" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30968,14 +26762,14 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+				<port id="1" precision="FP32" names="1723">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>5120</dim>
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 			</output>
 		</layer>
-		<layer id="1900" name="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+		<layer id="1591" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30990,15 +26784,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+				<port id="2" precision="FP32" names="1724,input.253">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1901" name="Constant_73532_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 5120" offset="618911394" size="13107200" />
+		<layer id="1592" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 5120" offset="618760472" size="13107200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -31006,7 +26800,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1902" name="Constant_73532" type="Convert" version="opset1">
+		<layer id="1593" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -31018,13 +26812,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.mid_block.attentions.0.transformer_blocks.0.ff.net.2.weight">
 					<dim>1280</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1903" name="/mid_block/attentions.0/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+		<layer id="1594" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31038,36 +26832,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.2/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1904" name="/mid_block/attentions.0/transformer_blocks.0/ff/net.2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1595" name="Constant_190282_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="631867672" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1596" name="Constant_190282" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1597" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.2/Add_output_0">
+				<port id="2" precision="FP32" names="1728,ff_output.13">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1905" name="/mid_block/attentions.0/transformer_blocks.0/Add_2" type="Add" version="opset1">
+		<layer id="1598" name="__module.mid_block.attentions.0.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31082,23 +26906,95 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/Add_2_output_0">
+				<port id="2" precision="FP32" names="1729,hidden_states.283">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1906" name="/mid_block/attentions.0/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="632018594" size="32" />
+		<layer id="1599" name="ShapeOf_195114" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" names="/mid_block/attentions.0/Constant_1_output_0">
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1907" name="/mid_block/attentions.0/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="1600" name="Constant_196651" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="13522464" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1601" name="Constant_196652" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1602" name="Gather_196653" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1603" name="__module.mid_block.attentions.0/prim::ListConstruct/Reshape_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="214224144" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1604" name="__module.mid_block.attentions.0/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="1730">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1605" name="__module.mid_block.attentions.0/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -31110,7 +27006,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="1731">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>8</dim>
@@ -31118,15 +27014,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1908" name="Constant_8131" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="13790206" size="32" />
+		<layer id="1606" name="Constant_76618" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="13522496" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="1732">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1909" name="/mid_block/attentions.0/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1607" name="__module.mid_block.attentions.0/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -31139,7 +27035,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="1733">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -31147,8 +27043,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1910" name="mid_block.attentions.0.proj_out.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280, 1, 1" offset="632018626" size="3276800" />
+		<layer id="1608" name="self.mid_block.attentions.0.proj_out.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280, 1, 1" offset="631870232" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -31158,7 +27054,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1911" name="mid_block.attentions.0.proj_out.weight" type="Convert" version="opset1">
+		<layer id="1609" name="self.mid_block.attentions.0.proj_out.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -31172,7 +27068,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="mid_block.attentions.0.proj_out.weight">
+				<port id="1" precision="FP32" names="self.mid_block.attentions.0.proj_out.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -31180,7 +27076,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1912" name="/mid_block/attentions.0/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="1610" name="__module.mid_block.attentions.0.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31205,8 +27101,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1913" name="Reshape_8153_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="635295426" size="2560" />
+		<layer id="1611" name="__module.mid_block.attentions.0.proj_out/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="635147032" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -31216,7 +27112,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1914" name="Reshape_8153" type="Convert" version="opset1">
+		<layer id="1612" name="__module.mid_block.attentions.0.proj_out/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -31238,7 +27134,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1915" name="/mid_block/attentions.0/proj_out/Conv" type="Add" version="opset1">
+		<layer id="1613" name="__module.mid_block.attentions.0.proj_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31255,7 +27151,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/proj_out/Conv_output_0">
+				<port id="2" precision="FP32" names="1741,hidden_states.287">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -31263,7 +27159,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1916" name="/mid_block/attentions.0/Add" type="Add" version="opset1">
+		<layer id="1614" name="__module.mid_block.attentions.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31280,7 +27176,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/attentions.0/Add_output_0">
+				<port id="2" precision="FP32" names="1742,input.257">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -31288,15 +27184,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1917" name="/mid_block/resnets.1/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="1615" name="__module.mid_block.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/mid_block/resnets.1/norm1/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1918" name="/mid_block/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+		<layer id="1616" name="__module.mid_block.resnets.1.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31305,27 +27204,27 @@
 					<dim>8</dim>
 					<dim>8</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm1/Reshape_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="1919" name="Constant_8191" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="1617" name="__module.mid_block.resnets.1.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="1920" name="MVN_8192" type="MVN" version="opset6">
+		<layer id="1618" name="__module.mid_block.resnets.1.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
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@@ -31333,20 +27232,20 @@
 					<dim>32</dim>
 					<dim>2560</dim>
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-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm1/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
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 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1921" name="/mid_block/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1619" name="__module.mid_block.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -31356,12 +27255,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/mid_block/resnets.1/norm1/Shape_output_0">
+				<port id="1" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="1922" name="/mid_block/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1620" name="__module.mid_block.resnets.1.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31369,12 +27268,12 @@
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm1/Reshape_1_output_0">
+				<port id="2" precision="FP32">
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 					<dim>1280</dim>
 					<dim>8</dim>
@@ -31382,8 +27281,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1923" name="Constant_75070_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="635297986" size="2560" />
+		<layer id="1621" name="Constant_190283_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="635149592" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -31393,7 +27292,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1924" name="Constant_75070" type="Convert" version="opset1">
+		<layer id="1622" name="Constant_190283" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -31415,7 +27314,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1925" name="/mid_block/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+		<layer id="1623" name="__module.mid_block.resnets.1.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31432,7 +27331,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm1/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -31440,8 +27339,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1926" name="Constant_75071_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="635300546" size="2560" />
+		<layer id="1624" name="Constant_190284_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="635152152" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -31451,7 +27350,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1927" name="Constant_75071" type="Convert" version="opset1">
+		<layer id="1625" name="Constant_190284" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -31473,7 +27372,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1928" name="/mid_block/resnets.1/norm1/Add" type="Add" version="opset1">
+		<layer id="1626" name="__module.mid_block.resnets.1.norm1/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31490,7 +27389,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm1/Add_output_0">
+				<port id="2" precision="FP32" names="1751,input.259">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -31498,7 +27397,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1929" name="/mid_block/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="1627" name="__module.conv_act/aten::silu/Swish_28" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -31508,7 +27407,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/mid_block/resnets.1/nonlinearity/Mul_output_0">
+				<port id="1" precision="FP32" names="1752,hidden_states.289">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -31516,8 +27415,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1930" name="mid_block.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280, 3, 3" offset="635303106" size="29491200" />
+		<layer id="1628" name="self.mid_block.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280, 3, 3" offset="635154712" size="29491200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -31527,7 +27426,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1931" name="mid_block.resnets.1.conv1.weight" type="Convert" version="opset1">
+		<layer id="1629" name="self.mid_block.resnets.1.conv1.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -31541,7 +27440,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="mid_block.resnets.1.conv1.weight">
+				<port id="1" precision="FP32" names="self.mid_block.resnets.1.conv1.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -31549,7 +27448,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1932" name="/mid_block/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="1630" name="__module.mid_block.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31574,8 +27473,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1933" name="Reshape_8316_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="664794306" size="2560" />
+		<layer id="1631" name="__module.mid_block.resnets.1.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="664645912" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -31585,7 +27484,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1934" name="Reshape_8316" type="Convert" version="opset1">
+		<layer id="1632" name="__module.mid_block.resnets.1.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -31607,7 +27506,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1935" name="/mid_block/resnets.1/conv1/Conv" type="Add" version="opset1">
+		<layer id="1633" name="__module.mid_block.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31624,7 +27523,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/conv1/Conv_output_0">
+				<port id="2" precision="FP32" names="1759,hidden_states.291">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -31632,8 +27531,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1936" name="mid_block.resnets.1.time_emb_proj.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="664796866" size="3276800" />
+		<layer id="1634" name="self.mid_block.resnets.1.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="664648472" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -31641,7 +27540,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1937" name="mid_block.resnets.1.time_emb_proj.weight" type="Convert" version="opset1">
+		<layer id="1635" name="self.mid_block.resnets.1.time_emb_proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -31653,13 +27552,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="mid_block.resnets.1.time_emb_proj.weight">
+				<port id="1" precision="FP32" names="self.mid_block.resnets.1.time_emb_proj.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1938" name="/mid_block/resnets.1/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+		<layer id="1636" name="__module.mid_block.resnets.1.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31678,8 +27577,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1939" name="Constant_75072_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280" offset="668073666" size="2560" />
+		<layer id="1637" name="Constant_190285_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280" offset="667925272" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -31687,7 +27586,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1940" name="Constant_75072" type="Convert" version="opset1">
+		<layer id="1638" name="Constant_190285" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -31705,7 +27604,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1941" name="/mid_block/resnets.1/time_emb_proj/Gemm" type="Add" version="opset1">
+		<layer id="1639" name="__module.mid_block.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31718,59 +27617,39 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/time_emb_proj/Gemm_output_0">
+				<port id="2" precision="FP32" names="1763,1764,1765">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1942" name="/mid_block/resnets.1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/mid_block/resnets.1/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1943" name="/mid_block/resnets.1/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1640" name="__module.mid_block.resnets.1/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/Unsqueeze_output_0">
+				<port id="2" precision="FP32" names="1766">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1944" name="/mid_block/resnets.1/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="7064744" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/mid_block/resnets.1/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1945" name="/mid_block/resnets.1/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1641" name="__module.mid_block.resnets.1/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/Unsqueeze_1_output_0">
+				<port id="2" precision="FP32" names="1767,temb.19">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -31778,7 +27657,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1946" name="/mid_block/resnets.1/Add" type="Add" version="opset1">
+		<layer id="1642" name="__module.mid_block.resnets.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31795,7 +27674,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/Add_output_0">
+				<port id="2" precision="FP32" names="1768,input.263">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -31803,15 +27682,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1947" name="/mid_block/resnets.1/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="1643" name="__module.mid_block.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/mid_block/resnets.1/norm2/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1948" name="/mid_block/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+		<layer id="1644" name="__module.mid_block.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31820,27 +27702,27 @@
 					<dim>8</dim>
 					<dim>8</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm2/Reshape_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1949" name="Constant_8364" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="1645" name="__module.mid_block.resnets.1.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
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 		</layer>
-		<layer id="1950" name="MVN_8365" type="MVN" version="opset6">
+		<layer id="1646" name="__module.mid_block.resnets.1.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31848,20 +27730,20 @@
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm2/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
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 		</layer>
-		<layer id="1951" name="/mid_block/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1647" name="__module.mid_block.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
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@@ -31871,12 +27753,12 @@
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-				<port id="1" precision="I64" names="/mid_block/resnets.1/norm2/Shape_output_0">
+				<port id="1" precision="I32">
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 		</layer>
-		<layer id="1952" name="/mid_block/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1648" name="__module.mid_block.resnets.1.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
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@@ -31884,12 +27766,12 @@
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 					<dim>2560</dim>
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-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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+				<port id="2" precision="FP32">
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@@ -31897,8 +27779,8 @@
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-		<layer id="1953" name="Constant_75073_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="668076226" size="2560" />
+		<layer id="1649" name="Constant_190286_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="667927832" size="2560" />
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@@ -31908,7 +27790,7 @@
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 		</layer>
-		<layer id="1954" name="Constant_75073" type="Convert" version="opset1">
+		<layer id="1650" name="Constant_190286" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -31930,7 +27812,7 @@
 				</port>
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-		<layer id="1955" name="/mid_block/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+		<layer id="1651" name="__module.mid_block.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -31947,7 +27829,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm2/Mul_output_0">
+				<port id="2" precision="FP32">
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 					<dim>1280</dim>
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@@ -31955,8 +27837,8 @@
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-		<layer id="1956" name="Constant_75074_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="668078786" size="2560" />
+		<layer id="1652" name="Constant_190287_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="667930392" size="2560" />
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 				<port id="0" precision="FP16">
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@@ -31966,7 +27848,7 @@
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 		</layer>
-		<layer id="1957" name="Constant_75074" type="Convert" version="opset1">
+		<layer id="1653" name="Constant_190287" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -31988,7 +27870,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1958" name="/mid_block/resnets.1/norm2/Add" type="Add" version="opset1">
+		<layer id="1654" name="__module.mid_block.resnets.1.norm2/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -32005,7 +27887,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm2/Add_output_0">
+				<port id="2" precision="FP32" names="1771,input.265">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -32013,7 +27895,7 @@
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 			</output>
 		</layer>
-		<layer id="1959" name="/mid_block/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="1655" name="__module.conv_act/aten::silu/Swish_30" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
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@@ -32023,7 +27905,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/mid_block/resnets.1/nonlinearity_1/Mul_output_0">
+				<port id="1" precision="FP32" names="1772,input.267">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -32031,8 +27913,8 @@
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 		</layer>
-		<layer id="1960" name="mid_block.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280, 3, 3" offset="668081346" size="29491200" />
+		<layer id="1656" name="self.mid_block.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280, 3, 3" offset="667932952" size="29491200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -32042,7 +27924,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1961" name="mid_block.resnets.1.conv2.weight" type="Convert" version="opset1">
+		<layer id="1657" name="self.mid_block.resnets.1.conv2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -32056,7 +27938,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="mid_block.resnets.1.conv2.weight">
+				<port id="1" precision="FP32" names="self.mid_block.resnets.1.conv2.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -32064,7 +27946,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1962" name="/mid_block/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="1658" name="__module.mid_block.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32089,8 +27971,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1963" name="Reshape_8489_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="697572546" size="2560" />
+		<layer id="1659" name="__module.mid_block.resnets.1.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="697424152" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -32100,7 +27982,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1964" name="Reshape_8489" type="Convert" version="opset1">
+		<layer id="1660" name="__module.mid_block.resnets.1.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -32122,7 +28004,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1965" name="/mid_block/resnets.1/conv2/Conv" type="Add" version="opset1">
+		<layer id="1661" name="__module.mid_block.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32139,7 +28021,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/conv2/Conv_output_0">
+				<port id="2" precision="FP32" names="1780,hidden_states.295">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -32147,7 +28029,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1966" name="/mid_block/resnets.1/Add_1" type="Add" version="opset1">
+		<layer id="1662" name="__module.mid_block.resnets.1/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32164,7 +28046,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/mid_block/resnets.1/Add_1_output_0,/mid_block/resnets.1/Div_output_0">
+				<port id="2" precision="FP32" names="1781,1782,hidden_states.297">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -32172,7 +28054,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1967" name="/up_blocks.0/Concat" type="Concat" version="opset1">
+		<layer id="1663" name="__module.up_blocks.0/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32189,7 +28071,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/Concat_output_0">
+				<port id="2" precision="FP32" names="1805,input.269">
 					<dim>1</dim>
 					<dim>2560</dim>
 					<dim>8</dim>
@@ -32197,8 +28079,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1968" name="up_blocks.0.resnets.0.conv_shortcut.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 2560, 1, 1" offset="697575106" size="6553600" />
+		<layer id="1664" name="self.up_blocks.0.resnets.0.conv_shortcut.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 2560, 1, 1" offset="697426712" size="6553600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -32208,7 +28090,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1969" name="up_blocks.0.resnets.0.conv_shortcut.weight" type="Convert" version="opset1">
+		<layer id="1665" name="self.up_blocks.0.resnets.0.conv_shortcut.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -32222,7 +28104,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.0.resnets.0.conv_shortcut.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.0.resnets.0.conv_shortcut.weight">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>1</dim>
@@ -32230,7 +28112,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1970" name="/up_blocks.0/resnets.0/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="1666" name="__module.up_blocks.0.resnets.0.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32255,8 +28137,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1971" name="Reshape_8876_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="704128706" size="2560" />
+		<layer id="1667" name="__module.up_blocks.0.resnets.0.conv_shortcut/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="703980312" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -32266,7 +28148,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1972" name="Reshape_8876" type="Convert" version="opset1">
+		<layer id="1668" name="__module.up_blocks.0.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -32288,7 +28170,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1973" name="/up_blocks.0/resnets.0/conv_shortcut/Conv" type="Add" version="opset1">
+		<layer id="1669" name="__module.up_blocks.0.resnets.0.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32305,7 +28187,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/conv_shortcut/Conv_output_0">
+				<port id="2" precision="FP32" names="1851,input_tensor.5">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -32313,15 +28195,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1974" name="/up_blocks.0/resnets.0/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="1670" name="__module.up_blocks.0.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.0/resnets.0/norm1/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>3</dim>
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 			</output>
 		</layer>
-		<layer id="1975" name="/up_blocks.0/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+		<layer id="1671" name="__module.up_blocks.0.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32330,27 +28215,27 @@
 					<dim>8</dim>
 					<dim>8</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/norm1/Reshape_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1976" name="Constant_8530" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="1672" name="__module.up_blocks.0.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 				</port>
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 		</layer>
-		<layer id="1977" name="MVN_8531" type="MVN" version="opset6">
+		<layer id="1673" name="__module.up_blocks.0.resnets.0.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32358,20 +28243,20 @@
 					<dim>32</dim>
 					<dim>5120</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/norm1/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>5120</dim>
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 			</output>
 		</layer>
-		<layer id="1978" name="/up_blocks.0/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1674" name="__module.up_blocks.0.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -32381,12 +28266,12 @@
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 			</input>
 			<output>
-				<port id="1" precision="I64" names="/up_blocks.0/resnets.0/norm1/Shape_output_0">
+				<port id="1" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="1979" name="/up_blocks.0/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1675" name="__module.up_blocks.0.resnets.0.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32394,12 +28279,12 @@
 					<dim>32</dim>
 					<dim>5120</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/norm1/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>2560</dim>
 					<dim>8</dim>
@@ -32407,8 +28292,8 @@
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-		<layer id="1980" name="Constant_75075_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 2560, 1, 1" offset="704131266" size="5120" />
+		<layer id="1676" name="Constant_190288_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 2560, 1, 1" offset="703982872" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -32418,7 +28303,7 @@
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 			</output>
 		</layer>
-		<layer id="1981" name="Constant_75075" type="Convert" version="opset1">
+		<layer id="1677" name="Constant_190288" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -32440,7 +28325,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1982" name="/up_blocks.0/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+		<layer id="1678" name="__module.up_blocks.0.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32457,7 +28342,7 @@
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+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>2560</dim>
 					<dim>8</dim>
@@ -32465,8 +28350,8 @@
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 		</layer>
-		<layer id="1983" name="Constant_75076_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 2560, 1, 1" offset="704136386" size="5120" />
+		<layer id="1679" name="Constant_190289_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 2560, 1, 1" offset="703987992" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -32476,7 +28361,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1984" name="Constant_75076" type="Convert" version="opset1">
+		<layer id="1680" name="Constant_190289" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -32498,7 +28383,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1985" name="/up_blocks.0/resnets.0/norm1/Add" type="Add" version="opset1">
+		<layer id="1681" name="__module.up_blocks.0.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32515,7 +28400,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/norm1/Add_output_0">
+				<port id="2" precision="FP32" names="1815,input.271">
 					<dim>1</dim>
 					<dim>2560</dim>
 					<dim>8</dim>
@@ -32523,7 +28408,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1986" name="/up_blocks.0/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="1682" name="__module.conv_act/aten::silu/Swish_31" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -32533,7 +28418,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.0/resnets.0/nonlinearity/Mul_output_0">
+				<port id="1" precision="FP32" names="1816,hidden_states.299">
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 					<dim>2560</dim>
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@@ -32541,8 +28426,8 @@
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-		<layer id="1987" name="up_blocks.0.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 2560, 3, 3" offset="704141506" size="58982400" />
+		<layer id="1683" name="self.up_blocks.0.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 2560, 3, 3" offset="703993112" size="58982400" />
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 				<port id="0" precision="FP16">
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@@ -32552,7 +28437,7 @@
 				</port>
 			</output>
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-		<layer id="1988" name="up_blocks.0.resnets.0.conv1.weight" type="Convert" version="opset1">
+		<layer id="1684" name="self.up_blocks.0.resnets.0.conv1.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -32566,7 +28451,7 @@
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-				<port id="1" precision="FP32" names="up_blocks.0.resnets.0.conv1.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.0.resnets.0.conv1.weight">
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 					<dim>2560</dim>
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@@ -32574,7 +28459,7 @@
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 			</output>
 		</layer>
-		<layer id="1989" name="/up_blocks.0/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="1685" name="__module.up_blocks.0.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
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@@ -32599,8 +28484,8 @@
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-		<layer id="1990" name="Reshape_8655_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="763123906" size="2560" />
+		<layer id="1686" name="__module.up_blocks.0.resnets.0.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="762975512" size="2560" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -32610,7 +28495,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1991" name="Reshape_8655" type="Convert" version="opset1">
+		<layer id="1687" name="__module.up_blocks.0.resnets.0.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -32632,7 +28517,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1992" name="/up_blocks.0/resnets.0/conv1/Conv" type="Add" version="opset1">
+		<layer id="1688" name="__module.up_blocks.0.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32649,7 +28534,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/conv1/Conv_output_0">
+				<port id="2" precision="FP32" names="1823,hidden_states.301">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -32657,8 +28542,8 @@
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-		<layer id="1993" name="up_blocks.0.resnets.0.time_emb_proj.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="763126466" size="3276800" />
+		<layer id="1689" name="self.up_blocks.0.resnets.0.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="762978072" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -32666,7 +28551,7 @@
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 			</output>
 		</layer>
-		<layer id="1994" name="up_blocks.0.resnets.0.time_emb_proj.weight" type="Convert" version="opset1">
+		<layer id="1690" name="self.up_blocks.0.resnets.0.time_emb_proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -32678,13 +28563,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.0.resnets.0.time_emb_proj.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.0.resnets.0.time_emb_proj.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
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 			</output>
 		</layer>
-		<layer id="1995" name="/up_blocks.0/resnets.0/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+		<layer id="1691" name="__module.up_blocks.0.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32703,8 +28588,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1996" name="Constant_75077_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280" offset="766403266" size="2560" />
+		<layer id="1692" name="Constant_190290_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280" offset="766254872" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -32712,7 +28597,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1997" name="Constant_75077" type="Convert" version="opset1">
+		<layer id="1693" name="Constant_190290" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -32730,7 +28615,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1998" name="/up_blocks.0/resnets.0/time_emb_proj/Gemm" type="Add" version="opset1">
+		<layer id="1694" name="__module.up_blocks.0.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32743,59 +28628,51 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/time_emb_proj/Gemm_output_0">
+				<port id="2" precision="FP32" names="1827,1828,1829">
 					<dim>1</dim>
 					<dim>1280</dim>
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 			</output>
 		</layer>
-		<layer id="1999" name="/up_blocks.0/resnets.0/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="1695" name="1791" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="6790128" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.0/resnets.0/Constant_output_0">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I64" names="1791" />
 			</output>
 		</layer>
-		<layer id="2000" name="/up_blocks.0/resnets.0/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1696" name="__module.up_blocks.0.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
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-				</port>
+				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/Unsqueeze_output_0">
+				<port id="2" precision="FP32" names="1830">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
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 		</layer>
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-			<data element_type="i64" shape="1" offset="7064744" size="8" />
+		<layer id="1697" name="1792" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="6790136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.0/resnets.0/Constant_1_output_0">
-					<dim>1</dim>
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+				<port id="0" precision="I64" names="1792" />
 			</output>
 		</layer>
-		<layer id="2002" name="/up_blocks.0/resnets.0/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1698" name="__module.up_blocks.0.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
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+				<port id="1" precision="I64" />
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/Unsqueeze_1_output_0">
+				<port id="2" precision="FP32" names="1831,temb.21">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -32803,7 +28680,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2003" name="/up_blocks.0/resnets.0/Add" type="Add" version="opset1">
+		<layer id="1699" name="__module.up_blocks.0.resnets.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32820,7 +28697,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/Add_output_0">
+				<port id="2" precision="FP32" names="1832,input.275">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -32828,15 +28705,18 @@
 				</port>
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 		</layer>
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-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="1700" name="__module.up_blocks.0.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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 			<output>
-				<port id="0" precision="I64" names="/up_blocks.0/resnets.0/norm2/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>3</dim>
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 		</layer>
-		<layer id="2005" name="/up_blocks.0/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+		<layer id="1701" name="__module.up_blocks.0.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32845,27 +28725,27 @@
 					<dim>8</dim>
 					<dim>8</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/norm2/Reshape_output_0">
+				<port id="2" precision="FP32">
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 					<dim>32</dim>
 					<dim>2560</dim>
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-		<layer id="2006" name="Constant_8703" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="1702" name="__module.up_blocks.0.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
-				<port id="0" precision="I64">
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 		</layer>
-		<layer id="2007" name="MVN_8704" type="MVN" version="opset6">
+		<layer id="1703" name="__module.up_blocks.0.resnets.0.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32873,20 +28753,20 @@
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/norm2/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2008" name="/up_blocks.0/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1704" name="__module.up_blocks.0.resnets.0.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -32896,12 +28776,12 @@
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 			</input>
 			<output>
-				<port id="1" precision="I64" names="/up_blocks.0/resnets.0/norm2/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
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 		</layer>
-		<layer id="2009" name="/up_blocks.0/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1705" name="__module.up_blocks.0.resnets.0.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32909,12 +28789,12 @@
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/norm2/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -32922,8 +28802,8 @@
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-		<layer id="2010" name="Constant_75078_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="766405826" size="2560" />
+		<layer id="1706" name="Constant_190291_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="766257432" size="2560" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -32933,7 +28813,7 @@
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 			</output>
 		</layer>
-		<layer id="2011" name="Constant_75078" type="Convert" version="opset1">
+		<layer id="1707" name="Constant_190291" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -32955,7 +28835,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2012" name="/up_blocks.0/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+		<layer id="1708" name="__module.up_blocks.0.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32972,7 +28852,7 @@
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/norm2/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -32980,8 +28860,8 @@
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-		<layer id="2013" name="Constant_75079_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="766408386" size="2560" />
+		<layer id="1709" name="Constant_190292_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="766259992" size="2560" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -32991,7 +28871,7 @@
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 			</output>
 		</layer>
-		<layer id="2014" name="Constant_75079" type="Convert" version="opset1">
+		<layer id="1710" name="Constant_190292" type="Convert" version="opset1">
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@@ -33013,7 +28893,7 @@
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 		</layer>
-		<layer id="2015" name="/up_blocks.0/resnets.0/norm2/Add" type="Add" version="opset1">
+		<layer id="1711" name="__module.up_blocks.0.resnets.0.norm2/aten::group_norm/Add" type="Add" version="opset1">
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@@ -33030,7 +28910,7 @@
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 			</input>
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-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/norm2/Add_output_0">
+				<port id="2" precision="FP32" names="1835,input.277">
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 					<dim>1280</dim>
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@@ -33038,7 +28918,7 @@
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 		</layer>
-		<layer id="2016" name="/up_blocks.0/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="1712" name="__module.conv_act/aten::silu/Swish_33" type="Swish" version="opset4">
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 				<port id="0" precision="FP32">
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@@ -33048,7 +28928,7 @@
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 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.0/resnets.0/nonlinearity_1/Mul_output_0">
+				<port id="1" precision="FP32" names="1836,input.279">
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 					<dim>1280</dim>
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@@ -33056,8 +28936,8 @@
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-		<layer id="2017" name="up_blocks.0.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280, 3, 3" offset="766410946" size="29491200" />
+		<layer id="1713" name="self.up_blocks.0.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280, 3, 3" offset="766262552" size="29491200" />
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@@ -33067,7 +28947,7 @@
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-		<layer id="2018" name="up_blocks.0.resnets.0.conv2.weight" type="Convert" version="opset1">
+		<layer id="1714" name="self.up_blocks.0.resnets.0.conv2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -33081,7 +28961,7 @@
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-				<port id="1" precision="FP32" names="up_blocks.0.resnets.0.conv2.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.0.resnets.0.conv2.weight">
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@@ -33089,7 +28969,7 @@
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 		</layer>
-		<layer id="2019" name="/up_blocks.0/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="1715" name="__module.up_blocks.0.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
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@@ -33114,8 +28994,8 @@
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-		<layer id="2020" name="Reshape_8828_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="795902146" size="2560" />
+		<layer id="1716" name="__module.up_blocks.0.resnets.0.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="795753752" size="2560" />
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 				<port id="0" precision="FP16">
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@@ -33125,7 +29005,7 @@
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 		</layer>
-		<layer id="2021" name="Reshape_8828" type="Convert" version="opset1">
+		<layer id="1717" name="__module.up_blocks.0.resnets.0.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -33147,7 +29027,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2022" name="/up_blocks.0/resnets.0/conv2/Conv" type="Add" version="opset1">
+		<layer id="1718" name="__module.up_blocks.0.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -33164,7 +29044,7 @@
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-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/conv2/Conv_output_0">
+				<port id="2" precision="FP32" names="1844,hidden_states.305">
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 					<dim>1280</dim>
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@@ -33172,7 +29052,7 @@
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 			</output>
 		</layer>
-		<layer id="2023" name="/up_blocks.0/resnets.0/Add_1" type="Add" version="opset1">
+		<layer id="1719" name="__module.up_blocks.0.resnets.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -33189,7 +29069,7 @@
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-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/Add_1_output_0,/up_blocks.0/resnets.0/Div_output_0">
+				<port id="2" precision="FP32" names="1852,1853,hidden_states.307">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -33197,7 +29077,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2024" name="/up_blocks.0/Concat_1" type="Concat" version="opset1">
+		<layer id="1720" name="__module.up_blocks.0/aten::cat/Concat_1" type="Concat" version="opset1">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33214,7 +29094,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/Concat_1_output_0">
+				<port id="2" precision="FP32" names="1855,input.281">
 					<dim>1</dim>
 					<dim>2560</dim>
 					<dim>8</dim>
@@ -33222,8 +29102,8 @@
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 		</layer>
-		<layer id="2025" name="up_blocks.0.resnets.1.conv_shortcut.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 2560, 1, 1" offset="795904706" size="6553600" />
+		<layer id="1721" name="self.up_blocks.0.resnets.1.conv_shortcut.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 2560, 1, 1" offset="795756312" size="6553600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -33233,7 +29113,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2026" name="up_blocks.0.resnets.1.conv_shortcut.weight" type="Convert" version="opset1">
+		<layer id="1722" name="self.up_blocks.0.resnets.1.conv_shortcut.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -33247,7 +29127,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.0.resnets.1.conv_shortcut.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.0.resnets.1.conv_shortcut.weight">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>1</dim>
@@ -33255,7 +29135,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2027" name="/up_blocks.0/resnets.1/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="1723" name="__module.up_blocks.0.resnets.1.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33280,8 +29160,8 @@
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 			</output>
 		</layer>
-		<layer id="2028" name="Reshape_9263_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="802458306" size="2560" />
+		<layer id="1724" name="__module.up_blocks.0.resnets.1.conv_shortcut/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="802309912" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -33291,7 +29171,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2029" name="Reshape_9263" type="Convert" version="opset1">
+		<layer id="1725" name="__module.up_blocks.0.resnets.1.conv_shortcut/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -33313,7 +29193,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2030" name="/up_blocks.0/resnets.1/conv_shortcut/Conv" type="Add" version="opset1">
+		<layer id="1726" name="__module.up_blocks.0.resnets.1.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33330,7 +29210,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/conv_shortcut/Conv_output_0">
+				<port id="2" precision="FP32" names="1901,input_tensor.7">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -33338,15 +29218,18 @@
 				</port>
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 		</layer>
-		<layer id="2031" name="/up_blocks.0/resnets.1/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="1727" name="__module.up_blocks.0.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.0/resnets.1/norm1/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2032" name="/up_blocks.0/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+		<layer id="1728" name="__module.up_blocks.0.resnets.1.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33355,27 +29238,27 @@
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 					<dim>8</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
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+				<port id="2" precision="FP32">
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 					<dim>32</dim>
 					<dim>5120</dim>
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 			</output>
 		</layer>
-		<layer id="2033" name="Constant_8917" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="1729" name="__module.up_blocks.0.resnets.1.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
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+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="2034" name="MVN_8918" type="MVN" version="opset6">
+		<layer id="1730" name="__module.up_blocks.0.resnets.1.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33383,20 +29266,20 @@
 					<dim>32</dim>
 					<dim>5120</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/norm1/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
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 					<dim>32</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2035" name="/up_blocks.0/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1731" name="__module.up_blocks.0.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -33406,12 +29289,12 @@
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 			</input>
 			<output>
-				<port id="1" precision="I64" names="/up_blocks.0/resnets.1/norm1/Shape_output_0">
+				<port id="1" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="2036" name="/up_blocks.0/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1732" name="__module.up_blocks.0.resnets.1.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33419,12 +29302,12 @@
 					<dim>32</dim>
 					<dim>5120</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/norm1/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>2560</dim>
 					<dim>8</dim>
@@ -33432,8 +29315,8 @@
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-		<layer id="2037" name="Constant_75080_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 2560, 1, 1" offset="802460866" size="5120" />
+		<layer id="1733" name="Constant_190293_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 2560, 1, 1" offset="802312472" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -33443,7 +29326,7 @@
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 			</output>
 		</layer>
-		<layer id="2038" name="Constant_75080" type="Convert" version="opset1">
+		<layer id="1734" name="Constant_190293" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -33465,7 +29348,7 @@
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 			</output>
 		</layer>
-		<layer id="2039" name="/up_blocks.0/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+		<layer id="1735" name="__module.up_blocks.0.resnets.1.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33482,7 +29365,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/norm1/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>2560</dim>
 					<dim>8</dim>
@@ -33490,8 +29373,8 @@
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-		<layer id="2040" name="Constant_75081_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 2560, 1, 1" offset="802465986" size="5120" />
+		<layer id="1736" name="Constant_190294_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -33501,7 +29384,7 @@
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 		</layer>
-		<layer id="2041" name="Constant_75081" type="Convert" version="opset1">
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 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -33523,7 +29406,7 @@
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+		<layer id="1738" name="__module.up_blocks.0.resnets.1.norm1/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -33540,7 +29423,7 @@
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+				<port id="2" precision="FP32" names="1865,input.283">
 					<dim>1</dim>
 					<dim>2560</dim>
 					<dim>8</dim>
@@ -33548,7 +29431,7 @@
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-		<layer id="2043" name="/up_blocks.0/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="1739" name="__module.conv_act/aten::silu/Swish_34" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
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@@ -33558,7 +29441,7 @@
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 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.0/resnets.1/nonlinearity/Mul_output_0">
+				<port id="1" precision="FP32" names="1866,hidden_states.309">
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 					<dim>2560</dim>
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@@ -33566,8 +29449,8 @@
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-		<layer id="2044" name="up_blocks.0.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
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+			<data element_type="f16" shape="1280, 2560, 3, 3" offset="802322712" size="58982400" />
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@@ -33577,7 +29460,7 @@
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-		<layer id="2045" name="up_blocks.0.resnets.1.conv1.weight" type="Convert" version="opset1">
+		<layer id="1741" name="self.up_blocks.0.resnets.1.conv1.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -33591,7 +29474,7 @@
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+				<port id="1" precision="FP32" names="self.up_blocks.0.resnets.1.conv1.weight">
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 					<dim>2560</dim>
 					<dim>3</dim>
@@ -33599,7 +29482,7 @@
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 		</layer>
-		<layer id="2046" name="/up_blocks.0/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="1742" name="__module.up_blocks.0.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
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@@ -33624,8 +29507,8 @@
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 		</layer>
-		<layer id="2047" name="Reshape_9042_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="861453506" size="2560" />
+		<layer id="1743" name="__module.up_blocks.0.resnets.1.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="861305112" size="2560" />
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 				<port id="0" precision="FP16">
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@@ -33635,7 +29518,7 @@
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 			</output>
 		</layer>
-		<layer id="2048" name="Reshape_9042" type="Convert" version="opset1">
+		<layer id="1744" name="__module.up_blocks.0.resnets.1.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -33657,7 +29540,7 @@
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 		</layer>
-		<layer id="2049" name="/up_blocks.0/resnets.1/conv1/Conv" type="Add" version="opset1">
+		<layer id="1745" name="__module.up_blocks.0.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33674,7 +29557,7 @@
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-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/conv1/Conv_output_0">
+				<port id="2" precision="FP32" names="1873,hidden_states.311">
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 					<dim>1280</dim>
 					<dim>8</dim>
@@ -33682,8 +29565,8 @@
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 		</layer>
-		<layer id="2050" name="up_blocks.0.resnets.1.time_emb_proj.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="861456066" size="3276800" />
+		<layer id="1746" name="self.up_blocks.0.resnets.1.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="861307672" size="3276800" />
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 				<port id="0" precision="FP16">
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@@ -33691,7 +29574,7 @@
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 		</layer>
-		<layer id="2051" name="up_blocks.0.resnets.1.time_emb_proj.weight" type="Convert" version="opset1">
+		<layer id="1747" name="self.up_blocks.0.resnets.1.time_emb_proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -33703,13 +29586,13 @@
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 			<output>
-				<port id="1" precision="FP32" names="up_blocks.0.resnets.1.time_emb_proj.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.0.resnets.1.time_emb_proj.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
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 		</layer>
-		<layer id="2052" name="/up_blocks.0/resnets.1/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+		<layer id="1748" name="__module.up_blocks.0.resnets.1.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33728,8 +29611,8 @@
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 		</layer>
-		<layer id="2053" name="Constant_75082_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280" offset="864732866" size="2560" />
+		<layer id="1749" name="Constant_190295_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280" offset="864584472" size="2560" />
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 				<port id="0" precision="FP16">
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@@ -33737,7 +29620,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2054" name="Constant_75082" type="Convert" version="opset1">
+		<layer id="1750" name="Constant_190295" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -33755,7 +29638,7 @@
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 		</layer>
-		<layer id="2055" name="/up_blocks.0/resnets.1/time_emb_proj/Gemm" type="Add" version="opset1">
+		<layer id="1751" name="__module.up_blocks.0.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -33768,59 +29651,39 @@
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/time_emb_proj/Gemm_output_0">
+				<port id="2" precision="FP32" names="1877,1878,1879">
 					<dim>1</dim>
 					<dim>1280</dim>
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-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2057" name="/up_blocks.0/resnets.1/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1752" name="__module.up_blocks.0.resnets.1/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
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+				<port id="1" precision="I64" />
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/Unsqueeze_output_0">
+				<port id="2" precision="FP32" names="1880">
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 					<dim>1280</dim>
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-		<layer id="2058" name="/up_blocks.0/resnets.1/Constant_1" type="Const" version="opset1">
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-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2059" name="/up_blocks.0/resnets.1/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1753" name="__module.up_blocks.0.resnets.1/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
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+				<port id="1" precision="I64" />
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/Unsqueeze_1_output_0">
+				<port id="2" precision="FP32" names="1881,temb.23">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -33828,7 +29691,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2060" name="/up_blocks.0/resnets.1/Add" type="Add" version="opset1">
+		<layer id="1754" name="__module.up_blocks.0.resnets.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33845,7 +29708,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/Add_output_0">
+				<port id="2" precision="FP32" names="1882,input.287">
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 					<dim>1280</dim>
 					<dim>8</dim>
@@ -33853,15 +29716,18 @@
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 		</layer>
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-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="1755" name="__module.up_blocks.0.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.0/resnets.1/norm2/Constant_output_0">
+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="2062" name="/up_blocks.0/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+		<layer id="1756" name="__module.up_blocks.0.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
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@@ -33870,27 +29736,27 @@
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 					<dim>8</dim>
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-				<port id="1" precision="I64">
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 			<output>
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+				<port id="2" precision="FP32">
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 					<dim>32</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="2063" name="Constant_9090" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="1757" name="__module.up_blocks.0.resnets.1.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="2064" name="MVN_9091" type="MVN" version="opset6">
+		<layer id="1758" name="__module.up_blocks.0.resnets.1.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -33898,20 +29764,20 @@
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 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
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-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/norm2/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
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 					<dim>32</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="2065" name="/up_blocks.0/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1759" name="__module.up_blocks.0.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
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 				<port id="0" precision="FP32">
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@@ -33921,12 +29787,12 @@
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 			<output>
-				<port id="1" precision="I64" names="/up_blocks.0/resnets.1/norm2/Shape_output_0">
+				<port id="1" precision="I32">
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 		</layer>
-		<layer id="2066" name="/up_blocks.0/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1760" name="__module.up_blocks.0.resnets.1.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
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 				<port id="0" precision="FP32">
@@ -33934,12 +29800,12 @@
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 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/norm2/Reshape_1_output_0">
+				<port id="2" precision="FP32">
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 					<dim>1280</dim>
 					<dim>8</dim>
@@ -33947,8 +29813,8 @@
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-			<data element_type="f16" shape="1, 1280, 1, 1" offset="864735426" size="2560" />
+		<layer id="1761" name="Constant_190296_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -33958,7 +29824,7 @@
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 		</layer>
-		<layer id="2068" name="Constant_75083" type="Convert" version="opset1">
+		<layer id="1762" name="Constant_190296" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -33980,7 +29846,7 @@
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 		</layer>
-		<layer id="2069" name="/up_blocks.0/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+		<layer id="1763" name="__module.up_blocks.0.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -33997,7 +29863,7 @@
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 			</input>
 			<output>
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+				<port id="2" precision="FP32">
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 					<dim>1280</dim>
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@@ -34005,8 +29871,8 @@
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-		<layer id="2070" name="Constant_75084_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="864737986" size="2560" />
+		<layer id="1764" name="Constant_190297_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
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@@ -34016,7 +29882,7 @@
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 			</output>
 		</layer>
-		<layer id="2071" name="Constant_75084" type="Convert" version="opset1">
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 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -34038,7 +29904,7 @@
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-		<layer id="2072" name="/up_blocks.0/resnets.1/norm2/Add" type="Add" version="opset1">
+		<layer id="1766" name="__module.up_blocks.0.resnets.1.norm2/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -34055,7 +29921,7 @@
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-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/norm2/Add_output_0">
+				<port id="2" precision="FP32" names="1885,input.289">
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 					<dim>1280</dim>
 					<dim>8</dim>
@@ -34063,7 +29929,7 @@
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 			</output>
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-		<layer id="2073" name="/up_blocks.0/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="1767" name="__module.conv_act/aten::silu/Swish_36" type="Swish" version="opset4">
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 				<port id="0" precision="FP32">
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@@ -34073,7 +29939,7 @@
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 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.0/resnets.1/nonlinearity_1/Mul_output_0">
+				<port id="1" precision="FP32" names="1886,input.291">
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 					<dim>1280</dim>
 					<dim>8</dim>
@@ -34081,8 +29947,8 @@
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+			<data element_type="f16" shape="1280, 1280, 3, 3" offset="864592152" size="29491200" />
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 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -34092,7 +29958,7 @@
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+		<layer id="1769" name="self.up_blocks.0.resnets.1.conv2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -34106,7 +29972,7 @@
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-				<port id="1" precision="FP32" names="up_blocks.0.resnets.1.conv2.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.0.resnets.1.conv2.weight">
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 					<dim>1280</dim>
 					<dim>3</dim>
@@ -34114,7 +29980,7 @@
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-		<layer id="2076" name="/up_blocks.0/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="1770" name="__module.up_blocks.0.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34139,8 +30005,8 @@
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-		<layer id="2077" name="Reshape_9215_compressed" type="Const" version="opset1">
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+		<layer id="1771" name="__module.up_blocks.0.resnets.1.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="894083352" size="2560" />
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 				<port id="0" precision="FP16">
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@@ -34150,7 +30016,7 @@
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 		</layer>
-		<layer id="2078" name="Reshape_9215" type="Convert" version="opset1">
+		<layer id="1772" name="__module.up_blocks.0.resnets.1.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -34172,7 +30038,7 @@
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 		</layer>
-		<layer id="2079" name="/up_blocks.0/resnets.1/conv2/Conv" type="Add" version="opset1">
+		<layer id="1773" name="__module.up_blocks.0.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -34189,7 +30055,7 @@
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-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/conv2/Conv_output_0">
+				<port id="2" precision="FP32" names="1894,hidden_states.315">
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 					<dim>1280</dim>
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@@ -34197,7 +30063,7 @@
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 			</output>
 		</layer>
-		<layer id="2080" name="/up_blocks.0/resnets.1/Add_1" type="Add" version="opset1">
+		<layer id="1774" name="__module.up_blocks.0.resnets.1/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -34214,7 +30080,7 @@
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+				<port id="2" precision="FP32" names="1902,1903,hidden_states.317">
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 					<dim>1280</dim>
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@@ -34222,7 +30088,7 @@
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 			</output>
 		</layer>
-		<layer id="2081" name="/up_blocks.0/Concat_2" type="Concat" version="opset1">
+		<layer id="1775" name="__module.up_blocks.0/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34239,7 +30105,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/Concat_2_output_0">
+				<port id="2" precision="FP32" names="1905,input.293">
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 					<dim>2560</dim>
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@@ -34247,8 +30113,8 @@
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-		<layer id="2082" name="up_blocks.0.resnets.2.conv_shortcut.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 2560, 1, 1" offset="894234306" size="6553600" />
+		<layer id="1776" name="self.up_blocks.0.resnets.2.conv_shortcut.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 2560, 1, 1" offset="894085912" size="6553600" />
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 				<port id="0" precision="FP16">
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@@ -34258,7 +30124,7 @@
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 		</layer>
-		<layer id="2083" name="up_blocks.0.resnets.2.conv_shortcut.weight" type="Convert" version="opset1">
+		<layer id="1777" name="self.up_blocks.0.resnets.2.conv_shortcut.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -34272,7 +30138,7 @@
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-				<port id="1" precision="FP32" names="up_blocks.0.resnets.2.conv_shortcut.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.0.resnets.2.conv_shortcut.weight">
 					<dim>1280</dim>
 					<dim>2560</dim>
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@@ -34280,7 +30146,7 @@
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 		</layer>
-		<layer id="2084" name="/up_blocks.0/resnets.2/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="1778" name="__module.up_blocks.0.resnets.2.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
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@@ -34305,8 +30171,8 @@
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-		<layer id="2085" name="Reshape_9650_compressed" type="Const" version="opset1">
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+		<layer id="1779" name="__module.up_blocks.0.resnets.2.conv_shortcut/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="900639512" size="2560" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -34316,7 +30182,7 @@
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 			</output>
 		</layer>
-		<layer id="2086" name="Reshape_9650" type="Convert" version="opset1">
+		<layer id="1780" name="__module.up_blocks.0.resnets.2.conv_shortcut/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -34338,7 +30204,7 @@
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 		</layer>
-		<layer id="2087" name="/up_blocks.0/resnets.2/conv_shortcut/Conv" type="Add" version="opset1">
+		<layer id="1781" name="__module.up_blocks.0.resnets.2.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34355,7 +30221,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/conv_shortcut/Conv_output_0">
+				<port id="2" precision="FP32" names="1951,input_tensor.9">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -34363,15 +30229,18 @@
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 		</layer>
-		<layer id="2088" name="/up_blocks.0/resnets.2/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="1782" name="__module.up_blocks.0.resnets.2.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
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+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="2089" name="/up_blocks.0/resnets.2/norm1/Reshape" type="Reshape" version="opset1">
+		<layer id="1783" name="__module.up_blocks.0.resnets.2.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34380,27 +30249,27 @@
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 					<dim>8</dim>
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-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/norm1/Reshape_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2090" name="Constant_9304" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="1784" name="__module.up_blocks.0.resnets.2.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="2091" name="MVN_9305" type="MVN" version="opset6">
+		<layer id="1785" name="__module.up_blocks.0.resnets.2.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34408,20 +30277,20 @@
 					<dim>32</dim>
 					<dim>5120</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/norm1/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2092" name="/up_blocks.0/resnets.2/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1786" name="__module.up_blocks.0.resnets.2.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -34431,12 +30300,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/up_blocks.0/resnets.2/norm1/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2093" name="/up_blocks.0/resnets.2/norm1/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1787" name="__module.up_blocks.0.resnets.2.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34444,12 +30313,12 @@
 					<dim>32</dim>
 					<dim>5120</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/norm1/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>2560</dim>
 					<dim>8</dim>
@@ -34457,8 +30326,8 @@
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 			</output>
 		</layer>
-		<layer id="2094" name="Constant_75085_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 2560, 1, 1" offset="900790466" size="5120" />
+		<layer id="1788" name="Constant_190298_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 2560, 1, 1" offset="900642072" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -34468,7 +30337,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2095" name="Constant_75085" type="Convert" version="opset1">
+		<layer id="1789" name="Constant_190298" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -34490,7 +30359,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2096" name="/up_blocks.0/resnets.2/norm1/Mul" type="Multiply" version="opset1">
+		<layer id="1790" name="__module.up_blocks.0.resnets.2.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34507,7 +30376,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/norm1/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>2560</dim>
 					<dim>8</dim>
@@ -34515,8 +30384,8 @@
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 		</layer>
-		<layer id="2097" name="Constant_75086_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 2560, 1, 1" offset="900795586" size="5120" />
+		<layer id="1791" name="Constant_190299_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 2560, 1, 1" offset="900647192" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -34526,7 +30395,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2098" name="Constant_75086" type="Convert" version="opset1">
+		<layer id="1792" name="Constant_190299" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -34548,7 +30417,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2099" name="/up_blocks.0/resnets.2/norm1/Add" type="Add" version="opset1">
+		<layer id="1793" name="__module.up_blocks.0.resnets.2.norm1/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34565,7 +30434,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/norm1/Add_output_0">
+				<port id="2" precision="FP32" names="1915,input.295">
 					<dim>1</dim>
 					<dim>2560</dim>
 					<dim>8</dim>
@@ -34573,7 +30442,7 @@
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 			</output>
 		</layer>
-		<layer id="2100" name="/up_blocks.0/resnets.2/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="1794" name="__module.conv_act/aten::silu/Swish_37" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -34583,7 +30452,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.0/resnets.2/nonlinearity/Mul_output_0">
+				<port id="1" precision="FP32" names="1916,hidden_states.319">
 					<dim>1</dim>
 					<dim>2560</dim>
 					<dim>8</dim>
@@ -34591,8 +30460,8 @@
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 		</layer>
-		<layer id="2101" name="up_blocks.0.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 2560, 3, 3" offset="900800706" size="58982400" />
+		<layer id="1795" name="self.up_blocks.0.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 2560, 3, 3" offset="900652312" size="58982400" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -34602,7 +30471,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2102" name="up_blocks.0.resnets.2.conv1.weight" type="Convert" version="opset1">
+		<layer id="1796" name="self.up_blocks.0.resnets.2.conv1.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -34616,7 +30485,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.0.resnets.2.conv1.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.0.resnets.2.conv1.weight">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>3</dim>
@@ -34624,7 +30493,7 @@
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 			</output>
 		</layer>
-		<layer id="2103" name="/up_blocks.0/resnets.2/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="1797" name="__module.up_blocks.0.resnets.2.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34649,8 +30518,8 @@
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-		<layer id="2104" name="Reshape_9429_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="959783106" size="2560" />
+		<layer id="1798" name="__module.up_blocks.0.resnets.2.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="959634712" size="2560" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -34660,7 +30529,7 @@
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 			</output>
 		</layer>
-		<layer id="2105" name="Reshape_9429" type="Convert" version="opset1">
+		<layer id="1799" name="__module.up_blocks.0.resnets.2.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -34682,7 +30551,7 @@
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 		</layer>
-		<layer id="2106" name="/up_blocks.0/resnets.2/conv1/Conv" type="Add" version="opset1">
+		<layer id="1800" name="__module.up_blocks.0.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34699,7 +30568,7 @@
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-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/conv1/Conv_output_0">
+				<port id="2" precision="FP32" names="1923,hidden_states.321">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -34707,8 +30576,8 @@
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-		<layer id="2107" name="up_blocks.0.resnets.2.time_emb_proj.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="959785666" size="3276800" />
+		<layer id="1801" name="self.up_blocks.0.resnets.2.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="959637272" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -34716,7 +30585,7 @@
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 		</layer>
-		<layer id="2108" name="up_blocks.0.resnets.2.time_emb_proj.weight" type="Convert" version="opset1">
+		<layer id="1802" name="self.up_blocks.0.resnets.2.time_emb_proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -34728,13 +30597,13 @@
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-				<port id="1" precision="FP32" names="up_blocks.0.resnets.2.time_emb_proj.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.0.resnets.2.time_emb_proj.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
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 			</output>
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-		<layer id="2109" name="/up_blocks.0/resnets.2/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+		<layer id="1803" name="__module.up_blocks.0.resnets.2.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34753,8 +30622,8 @@
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-		<layer id="2110" name="Constant_75087_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280" offset="963062466" size="2560" />
+		<layer id="1804" name="Constant_190300_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280" offset="962914072" size="2560" />
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@@ -34762,7 +30631,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2111" name="Constant_75087" type="Convert" version="opset1">
+		<layer id="1805" name="Constant_190300" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -34780,7 +30649,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2112" name="/up_blocks.0/resnets.2/time_emb_proj/Gemm" type="Add" version="opset1">
+		<layer id="1806" name="__module.up_blocks.0.resnets.2.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -34793,59 +30662,39 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/time_emb_proj/Gemm_output_0">
+				<port id="2" precision="FP32" names="1927,1928,1929">
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 					<dim>1280</dim>
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-		<layer id="2113" name="/up_blocks.0/resnets.2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
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-				<port id="0" precision="I64" names="/up_blocks.0/resnets.2/Constant_output_0">
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-			</output>
-		</layer>
-		<layer id="2114" name="/up_blocks.0/resnets.2/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1807" name="__module.up_blocks.0.resnets.2/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
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-				<port id="1" precision="I64">
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+				<port id="1" precision="I64" />
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/Unsqueeze_output_0">
+				<port id="2" precision="FP32" names="1930">
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 					<dim>1280</dim>
 					<dim>1</dim>
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-		<layer id="2115" name="/up_blocks.0/resnets.2/Constant_1" type="Const" version="opset1">
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-				<port id="0" precision="I64" names="/up_blocks.0/resnets.2/Constant_1_output_0">
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-			</output>
-		</layer>
-		<layer id="2116" name="/up_blocks.0/resnets.2/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1808" name="__module.up_blocks.0.resnets.2/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>1280</dim>
 					<dim>1</dim>
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-				<port id="1" precision="I64">
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+				<port id="1" precision="I64" />
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+				<port id="2" precision="FP32" names="1931,temb.25">
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 					<dim>1280</dim>
 					<dim>1</dim>
@@ -34853,7 +30702,7 @@
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 			</output>
 		</layer>
-		<layer id="2117" name="/up_blocks.0/resnets.2/Add" type="Add" version="opset1">
+		<layer id="1809" name="__module.up_blocks.0.resnets.2/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34870,7 +30719,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/Add_output_0">
+				<port id="2" precision="FP32" names="1932,input.299">
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@@ -34878,15 +30727,18 @@
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-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="1810" name="__module.up_blocks.0.resnets.2.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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 			<output>
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+				<port id="0" precision="I32">
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-		<layer id="2119" name="/up_blocks.0/resnets.2/norm2/Reshape" type="Reshape" version="opset1">
+		<layer id="1811" name="__module.up_blocks.0.resnets.2.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
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@@ -34895,27 +30747,27 @@
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 					<dim>8</dim>
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-				<port id="1" precision="I64">
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 			<output>
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+				<port id="2" precision="FP32">
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 					<dim>32</dim>
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-		<layer id="2120" name="Constant_9477" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="1812" name="__module.up_blocks.0.resnets.2.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
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+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="2121" name="MVN_9478" type="MVN" version="opset6">
+		<layer id="1813" name="__module.up_blocks.0.resnets.2.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -34923,20 +30775,20 @@
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 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/norm2/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
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 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2122" name="/up_blocks.0/resnets.2/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1814" name="__module.up_blocks.0.resnets.2.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -34946,12 +30798,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/up_blocks.0/resnets.2/norm2/Shape_output_0">
+				<port id="1" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="2123" name="/up_blocks.0/resnets.2/norm2/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1815" name="__module.up_blocks.0.resnets.2.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34959,12 +30811,12 @@
 					<dim>32</dim>
 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/norm2/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -34972,8 +30824,8 @@
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 			</output>
 		</layer>
-		<layer id="2124" name="Constant_75088_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="963065026" size="2560" />
+		<layer id="1816" name="Constant_190301_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="962916632" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -34983,7 +30835,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2125" name="Constant_75088" type="Convert" version="opset1">
+		<layer id="1817" name="Constant_190301" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -35005,7 +30857,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2126" name="/up_blocks.0/resnets.2/norm2/Mul" type="Multiply" version="opset1">
+		<layer id="1818" name="__module.up_blocks.0.resnets.2.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35022,7 +30874,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/norm2/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -35030,8 +30882,8 @@
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 			</output>
 		</layer>
-		<layer id="2127" name="Constant_75089_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="963067586" size="2560" />
+		<layer id="1819" name="Constant_190302_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="962919192" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -35041,7 +30893,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2128" name="Constant_75089" type="Convert" version="opset1">
+		<layer id="1820" name="Constant_190302" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -35063,7 +30915,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2129" name="/up_blocks.0/resnets.2/norm2/Add" type="Add" version="opset1">
+		<layer id="1821" name="__module.up_blocks.0.resnets.2.norm2/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35080,7 +30932,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/norm2/Add_output_0">
+				<port id="2" precision="FP32" names="1935,input.301">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -35088,7 +30940,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2130" name="/up_blocks.0/resnets.2/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="1822" name="__module.conv_act/aten::silu/Swish_39" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -35098,7 +30950,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.0/resnets.2/nonlinearity_1/Mul_output_0">
+				<port id="1" precision="FP32" names="1936,input.303">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -35106,8 +30958,8 @@
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 		</layer>
-		<layer id="2131" name="up_blocks.0.resnets.2.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280, 3, 3" offset="963070146" size="29491200" />
+		<layer id="1823" name="self.up_blocks.0.resnets.2.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280, 3, 3" offset="962921752" size="29491200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -35117,7 +30969,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2132" name="up_blocks.0.resnets.2.conv2.weight" type="Convert" version="opset1">
+		<layer id="1824" name="self.up_blocks.0.resnets.2.conv2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -35131,7 +30983,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.0.resnets.2.conv2.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.0.resnets.2.conv2.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -35139,7 +30991,7 @@
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 			</output>
 		</layer>
-		<layer id="2133" name="/up_blocks.0/resnets.2/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="1825" name="__module.up_blocks.0.resnets.2.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35164,8 +31016,8 @@
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 			</output>
 		</layer>
-		<layer id="2134" name="Reshape_9602_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="992561346" size="2560" />
+		<layer id="1826" name="__module.up_blocks.0.resnets.2.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="992412952" size="2560" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -35175,7 +31027,7 @@
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 			</output>
 		</layer>
-		<layer id="2135" name="Reshape_9602" type="Convert" version="opset1">
+		<layer id="1827" name="__module.up_blocks.0.resnets.2.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -35197,7 +31049,7 @@
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 		</layer>
-		<layer id="2136" name="/up_blocks.0/resnets.2/conv2/Conv" type="Add" version="opset1">
+		<layer id="1828" name="__module.up_blocks.0.resnets.2.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35214,7 +31066,7 @@
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-				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/conv2/Conv_output_0">
+				<port id="2" precision="FP32" names="1944,hidden_states.325">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>8</dim>
@@ -35222,7 +31074,7 @@
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 			</output>
 		</layer>
-		<layer id="2137" name="/up_blocks.0/resnets.2/Add_1" type="Add" version="opset1">
+		<layer id="1829" name="__module.up_blocks.0.resnets.2/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35239,81 +31091,34 @@
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-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="1952,1953,hidden_states.327">
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 					<dim>1280</dim>
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-			<data element_type="f32" shape="4" offset="992563906" size="16" />
+		<layer id="1830" name="__module.up_blocks.0.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
+			<data element_type="f32" shape="2" offset="992415512" size="8" />
+			<rt_info>
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 				<port id="0" precision="FP32">
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-			<output>
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-					<dim>4</dim>
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2142" name="Convert_9686" type="Convert" version="opset1">
-			<data destination_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>4</dim>
-				</port>
-			</input>
+		<layer id="1831" name="Constant_78302" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="992415520" size="8" />
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="I32">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2143" name="/up_blocks.0/upsamplers.0/Resize" type="Interpolate" version="opset4">
+		<layer id="1832" name="__module.up_blocks.0.upsamplers.0/aten::upsample_nearest2d/Interpolate" type="Interpolate" version="opset11">
 			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
 			<input>
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@@ -35322,15 +31127,15 @@
 					<dim>8</dim>
 					<dim>8</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>2</dim>
 				</port>
-				<port id="2" precision="FP32">
-					<dim>4</dim>
+				<port id="2" precision="I32">
+					<dim>2</dim>
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="/up_blocks.0/upsamplers.0/Resize_output_0">
+				<port id="3" precision="FP32" names="1956,hidden_states.329">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -35338,8 +31143,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2144" name="up_blocks.0.upsamplers.0.conv.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280, 3, 3" offset="992563922" size="29491200" />
+		<layer id="1833" name="self.up_blocks.0.upsamplers.0.conv.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280, 3, 3" offset="992415528" size="29491200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -35349,7 +31154,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2145" name="up_blocks.0.upsamplers.0.conv.weight" type="Convert" version="opset1">
+		<layer id="1834" name="self.up_blocks.0.upsamplers.0.conv.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -35363,7 +31168,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.0.upsamplers.0.conv.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.0.upsamplers.0.conv.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -35371,7 +31176,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2146" name="/up_blocks.0/upsamplers.0/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="1835" name="__module.up_blocks.0.upsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35396,8 +31201,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2147" name="Reshape_9708_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="1022055122" size="2560" />
+		<layer id="1836" name="__module.up_blocks.0.upsamplers.0.conv/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="1021906728" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -35407,7 +31212,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2148" name="Reshape_9708" type="Convert" version="opset1">
+		<layer id="1837" name="__module.up_blocks.0.upsamplers.0.conv/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -35429,7 +31234,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2149" name="/up_blocks.0/upsamplers.0/conv/Conv" type="Add" version="opset1">
+		<layer id="1838" name="__module.up_blocks.0.upsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35446,7 +31251,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.0/upsamplers.0/conv/Conv_output_0">
+				<port id="2" precision="FP32" names="1963,hidden_states.331">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -35454,7 +31259,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2150" name="/up_blocks.1/Concat" type="Concat" version="opset1">
+		<layer id="1839" name="__module.up_blocks.1/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35471,7 +31276,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/Concat_output_0">
+				<port id="2" precision="FP32" names="1999,input.305">
 					<dim>1</dim>
 					<dim>2560</dim>
 					<dim>16</dim>
@@ -35479,8 +31284,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2151" name="up_blocks.1.resnets.0.conv_shortcut.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 2560, 1, 1" offset="1022057682" size="6553600" />
+		<layer id="1840" name="self.up_blocks.1.resnets.0.conv_shortcut.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 2560, 1, 1" offset="1021909288" size="6553600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -35490,7 +31295,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2152" name="up_blocks.1.resnets.0.conv_shortcut.weight" type="Convert" version="opset1">
+		<layer id="1841" name="self.up_blocks.1.resnets.0.conv_shortcut.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -35504,7 +31309,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.1.resnets.0.conv_shortcut.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.1.resnets.0.conv_shortcut.weight">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>1</dim>
@@ -35512,7 +31317,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2153" name="/up_blocks.1/resnets.0/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="1842" name="__module.up_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35537,8 +31342,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2154" name="Reshape_10092_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="1028611282" size="2560" />
+		<layer id="1843" name="__module.up_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="1028462888" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -35548,7 +31353,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2155" name="Reshape_10092" type="Convert" version="opset1">
+		<layer id="1844" name="__module.up_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -35570,7 +31375,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2156" name="/up_blocks.1/resnets.0/conv_shortcut/Conv" type="Add" version="opset1">
+		<layer id="1845" name="__module.up_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35587,7 +31392,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/conv_shortcut/Conv_output_0">
+				<port id="2" precision="FP32" names="2045,input_tensor.11">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -35595,15 +31400,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2157" name="/up_blocks.1/resnets.0/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="1846" name="__module.up_blocks.1.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/resnets.0/norm1/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2158" name="/up_blocks.1/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+		<layer id="1847" name="__module.up_blocks.1.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35612,27 +31420,27 @@
 					<dim>16</dim>
 					<dim>16</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/norm1/Reshape_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>20480</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2159" name="Constant_9746" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="1848" name="__module.up_blocks.1.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2160" name="MVN_9747" type="MVN" version="opset6">
+		<layer id="1849" name="__module.up_blocks.1.resnets.0.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35640,20 +31448,20 @@
 					<dim>32</dim>
 					<dim>20480</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/norm1/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>20480</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2161" name="/up_blocks.1/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1850" name="__module.up_blocks.1.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -35663,12 +31471,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/up_blocks.1/resnets.0/norm1/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2162" name="/up_blocks.1/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1851" name="__module.up_blocks.1.resnets.0.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35676,12 +31484,12 @@
 					<dim>32</dim>
 					<dim>20480</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/norm1/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>2560</dim>
 					<dim>16</dim>
@@ -35689,8 +31497,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2163" name="Constant_75090_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 2560, 1, 1" offset="1028613842" size="5120" />
+		<layer id="1852" name="Constant_190303_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 2560, 1, 1" offset="1028465448" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -35700,7 +31508,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2164" name="Constant_75090" type="Convert" version="opset1">
+		<layer id="1853" name="Constant_190303" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -35722,7 +31530,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2165" name="/up_blocks.1/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+		<layer id="1854" name="__module.up_blocks.1.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35739,7 +31547,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/norm1/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>2560</dim>
 					<dim>16</dim>
@@ -35747,8 +31555,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2166" name="Constant_75091_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 2560, 1, 1" offset="1028618962" size="5120" />
+		<layer id="1855" name="Constant_190304_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 2560, 1, 1" offset="1028470568" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -35758,7 +31566,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2167" name="Constant_75091" type="Convert" version="opset1">
+		<layer id="1856" name="Constant_190304" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -35780,7 +31588,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2168" name="/up_blocks.1/resnets.0/norm1/Add" type="Add" version="opset1">
+		<layer id="1857" name="__module.up_blocks.1.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35797,7 +31605,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/norm1/Add_output_0">
+				<port id="2" precision="FP32" names="2009,input.307">
 					<dim>1</dim>
 					<dim>2560</dim>
 					<dim>16</dim>
@@ -35805,7 +31613,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2169" name="/up_blocks.1/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="1858" name="__module.conv_act/aten::silu/Swish_40" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -35815,7 +31623,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.1/resnets.0/nonlinearity/Mul_output_0">
+				<port id="1" precision="FP32" names="2010,hidden_states.333">
 					<dim>1</dim>
 					<dim>2560</dim>
 					<dim>16</dim>
@@ -35823,8 +31631,8 @@
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 			</output>
 		</layer>
-		<layer id="2170" name="up_blocks.1.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 2560, 3, 3" offset="1028624082" size="58982400" />
+		<layer id="1859" name="self.up_blocks.1.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 2560, 3, 3" offset="1028475688" size="58982400" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -35834,7 +31642,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2171" name="up_blocks.1.resnets.0.conv1.weight" type="Convert" version="opset1">
+		<layer id="1860" name="self.up_blocks.1.resnets.0.conv1.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -35848,7 +31656,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.1.resnets.0.conv1.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.1.resnets.0.conv1.weight">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>3</dim>
@@ -35856,7 +31664,7 @@
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 			</output>
 		</layer>
-		<layer id="2172" name="/up_blocks.1/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="1861" name="__module.up_blocks.1.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35881,8 +31689,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2173" name="Reshape_9871_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="1087606482" size="2560" />
+		<layer id="1862" name="__module.up_blocks.1.resnets.0.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="1087458088" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -35892,7 +31700,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2174" name="Reshape_9871" type="Convert" version="opset1">
+		<layer id="1863" name="__module.up_blocks.1.resnets.0.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -35914,7 +31722,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2175" name="/up_blocks.1/resnets.0/conv1/Conv" type="Add" version="opset1">
+		<layer id="1864" name="__module.up_blocks.1.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35931,7 +31739,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/conv1/Conv_output_0">
+				<port id="2" precision="FP32" names="2017,hidden_states.335">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -35939,8 +31747,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2176" name="up_blocks.1.resnets.0.time_emb_proj.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="1087609042" size="3276800" />
+		<layer id="1865" name="self.up_blocks.1.resnets.0.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="1087460648" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -35948,7 +31756,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2177" name="up_blocks.1.resnets.0.time_emb_proj.weight" type="Convert" version="opset1">
+		<layer id="1866" name="self.up_blocks.1.resnets.0.time_emb_proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -35960,13 +31768,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.1.resnets.0.time_emb_proj.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.1.resnets.0.time_emb_proj.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2178" name="/up_blocks.1/resnets.0/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+		<layer id="1867" name="__module.up_blocks.1.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35985,8 +31793,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2179" name="Constant_75092_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280" offset="1090885842" size="2560" />
+		<layer id="1868" name="Constant_190305_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280" offset="1090737448" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -35994,7 +31802,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2180" name="Constant_75092" type="Convert" version="opset1">
+		<layer id="1869" name="Constant_190305" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -36012,7 +31820,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2181" name="/up_blocks.1/resnets.0/time_emb_proj/Gemm" type="Add" version="opset1">
+		<layer id="1870" name="__module.up_blocks.1.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36025,59 +31833,51 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/time_emb_proj/Gemm_output_0">
+				<port id="2" precision="FP32" names="2021,2022,2023">
 					<dim>1</dim>
 					<dim>1280</dim>
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 			</output>
 		</layer>
-		<layer id="2182" name="/up_blocks.1/resnets.0/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="1871" name="1979" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="6790128" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/resnets.0/Constant_output_0">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I64" names="1979" />
 			</output>
 		</layer>
-		<layer id="2183" name="/up_blocks.1/resnets.0/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1872" name="__module.up_blocks.1.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
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+				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/Unsqueeze_output_0">
+				<port id="2" precision="FP32" names="2024">
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 					<dim>1280</dim>
 					<dim>1</dim>
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 		</layer>
-		<layer id="2184" name="/up_blocks.1/resnets.0/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="7064744" size="8" />
+		<layer id="1873" name="1980" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="6790136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/resnets.0/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I64" names="1980" />
 			</output>
 		</layer>
-		<layer id="2185" name="/up_blocks.1/resnets.0/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1874" name="__module.up_blocks.1.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/Unsqueeze_1_output_0">
+				<port id="2" precision="FP32" names="2025,temb.27">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -36085,7 +31885,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2186" name="/up_blocks.1/resnets.0/Add" type="Add" version="opset1">
+		<layer id="1875" name="__module.up_blocks.1.resnets.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36102,7 +31902,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/Add_output_0">
+				<port id="2" precision="FP32" names="2026,input.311">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -36110,15 +31910,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2187" name="/up_blocks.1/resnets.0/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="1876" name="__module.up_blocks.1.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/resnets.0/norm2/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2188" name="/up_blocks.1/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+		<layer id="1877" name="__module.up_blocks.1.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36127,27 +31930,27 @@
 					<dim>16</dim>
 					<dim>16</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/norm2/Reshape_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2189" name="Constant_9919" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="1878" name="__module.up_blocks.1.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="2190" name="MVN_9920" type="MVN" version="opset6">
+		<layer id="1879" name="__module.up_blocks.1.resnets.0.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36155,20 +31958,20 @@
 					<dim>32</dim>
 					<dim>10240</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/norm2/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2191" name="/up_blocks.1/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1880" name="__module.up_blocks.1.resnets.0.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -36178,12 +31981,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/up_blocks.1/resnets.0/norm2/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2192" name="/up_blocks.1/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1881" name="__module.up_blocks.1.resnets.0.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36191,12 +31994,12 @@
 					<dim>32</dim>
 					<dim>10240</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/norm2/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -36204,8 +32007,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2193" name="Constant_75093_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="1090888402" size="2560" />
+		<layer id="1882" name="Constant_190306_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="1090740008" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -36215,7 +32018,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2194" name="Constant_75093" type="Convert" version="opset1">
+		<layer id="1883" name="Constant_190306" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -36237,7 +32040,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2195" name="/up_blocks.1/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+		<layer id="1884" name="__module.up_blocks.1.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36254,7 +32057,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/norm2/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -36262,8 +32065,8 @@
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 			</output>
 		</layer>
-		<layer id="2196" name="Constant_75094_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="1090890962" size="2560" />
+		<layer id="1885" name="Constant_190307_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="1090742568" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -36273,7 +32076,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2197" name="Constant_75094" type="Convert" version="opset1">
+		<layer id="1886" name="Constant_190307" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -36295,7 +32098,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2198" name="/up_blocks.1/resnets.0/norm2/Add" type="Add" version="opset1">
+		<layer id="1887" name="__module.up_blocks.1.resnets.0.norm2/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36312,7 +32115,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/norm2/Add_output_0">
+				<port id="2" precision="FP32" names="2029,input.313">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -36320,7 +32123,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2199" name="/up_blocks.1/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="1888" name="__module.conv_act/aten::silu/Swish_42" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -36330,7 +32133,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.1/resnets.0/nonlinearity_1/Mul_output_0">
+				<port id="1" precision="FP32" names="2030,input.315">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -36338,8 +32141,8 @@
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 			</output>
 		</layer>
-		<layer id="2200" name="up_blocks.1.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280, 3, 3" offset="1090893522" size="29491200" />
+		<layer id="1889" name="self.up_blocks.1.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280, 3, 3" offset="1090745128" size="29491200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -36349,7 +32152,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2201" name="up_blocks.1.resnets.0.conv2.weight" type="Convert" version="opset1">
+		<layer id="1890" name="self.up_blocks.1.resnets.0.conv2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -36363,7 +32166,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.1.resnets.0.conv2.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.1.resnets.0.conv2.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -36371,7 +32174,7 @@
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 			</output>
 		</layer>
-		<layer id="2202" name="/up_blocks.1/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="1891" name="__module.up_blocks.1.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -36396,8 +32199,8 @@
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 			</output>
 		</layer>
-		<layer id="2203" name="Reshape_10044_compressed" type="Const" version="opset1">
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+		<layer id="1892" name="__module.up_blocks.1.resnets.0.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="1120236328" size="2560" />
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@@ -36407,7 +32210,7 @@
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@@ -36479,15 +32282,18 @@
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@@ -36524,20 +32330,20 @@
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+		<layer id="1900" name="__module.up_blocks.1.attentions.0.norm/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
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@@ -36547,12 +32353,12 @@
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@@ -36560,12 +32366,12 @@
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@@ -36573,8 +32379,8 @@
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@@ -36584,7 +32390,7 @@
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 		</layer>
-		<layer id="2214" name="Constant_75095" type="Convert" version="opset1">
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@@ -36606,7 +32412,7 @@
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@@ -36623,7 +32429,7 @@
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@@ -36631,8 +32437,8 @@
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-			<data element_type="f16" shape="1, 1280, 1, 1" offset="1120389842" size="2560" />
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@@ -36642,7 +32448,7 @@
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-		<layer id="2217" name="Constant_75096" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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@@ -36664,7 +32470,7 @@
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@@ -36681,7 +32487,7 @@
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 					<dim>1280</dim>
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@@ -36689,8 +32495,8 @@
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+			<data element_type="f16" shape="1280, 1280, 1, 1" offset="1120244008" size="3276800" />
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@@ -36700,7 +32506,7 @@
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@@ -36722,7 +32528,7 @@
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 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
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@@ -36747,8 +32553,8 @@
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@@ -36758,7 +32564,7 @@
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 			<data destination_type="f32" />
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@@ -36780,7 +32586,7 @@
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 			<data auto_broadcast="numpy" />
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 					<dim>1280</dim>
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+		<layer id="1914" name="Constant_78898" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="8841984" size="32" />
 			<output>
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 				<port id="0" precision="FP32">
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@@ -36826,7 +32632,7 @@
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 					<dim>16</dim>
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@@ -36834,15 +32640,18 @@
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-			<data element_type="i64" shape="3" offset="151498600" size="24" />
+		<layer id="1916" name="Constant_196326" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="151265984" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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@@ -36856,22 +32665,22 @@
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-		<layer id="2229" name="Constant_10292" type="Const" version="opset1">
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 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -36879,20 +32688,20 @@
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@@ -36901,7 +32710,7 @@
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-		<layer id="2232" name="Constant_75097" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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@@ -36921,7 +32730,7 @@
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@@ -36953,7 +32762,7 @@
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-		<layer id="2235" name="Constant_75098" type="Convert" version="opset1">
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@@ -36973,7 +32782,7 @@
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 		</layer>
-		<layer id="2236" name="/up_blocks.1/attentions.0/transformer_blocks.0/norm1/Add_1" type="Add" version="opset1">
+		<layer id="1925" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -36988,15 +32797,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/norm1/Add_1_output_0">
+				<port id="2" precision="FP32" names="2084,hidden_states.349">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
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 		</layer>
-		<layer id="2237" name="Constant_73550_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="1123676882" size="3276800" />
+		<layer id="1926" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="1123528488" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -37004,7 +32813,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2238" name="Constant_73550" type="Convert" version="opset1">
+		<layer id="1927" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -37016,13 +32825,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
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 		</layer>
-		<layer id="2239" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+		<layer id="1928" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -37036,22 +32845,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+				<port id="2" precision="FP32" names="2092,query.57">
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 					<dim>256</dim>
 					<dim>1280</dim>
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 		</layer>
-		<layer id="2240" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154780544" size="32" />
+		<layer id="1929" name="Constant_196327" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_output_0">
+				<port id="0" precision="I64">
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 				</port>
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 		</layer>
-		<layer id="2241" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
+		<layer id="1930" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37064,7 +32876,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_output_0">
+				<port id="2" precision="FP32" names="2104">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>8</dim>
@@ -37072,15 +32884,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2242" name="Constant_10315" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="1931" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="2243" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+		<layer id="1932" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -37088,50 +32900,21 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_output_0">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2244" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154780576" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_1_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2245" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="2105,query.59">
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 					<dim>8</dim>
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_1_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="2246" name="Constant_73557_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="1126953682" size="3276800" />
+		<layer id="1933" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="1126805288" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -37139,7 +32922,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2247" name="Constant_73557" type="Convert" version="opset1">
+		<layer id="1934" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -37151,13 +32934,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2248" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="1935" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37171,22 +32954,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="2094,key.57">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2249" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154780544" size="32" />
+		<layer id="1936" name="Constant_196328" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2250" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+		<layer id="1937" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37199,7 +32985,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="2107">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>8</dim>
@@ -37207,15 +32993,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2251" name="Constant_10331" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="1938" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2252" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1939" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -37223,12 +33009,12 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="2108,key.59">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
@@ -37236,128 +33022,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2253" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154780576" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_3_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2254" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_3_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2255" name="Constant_75099_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="158057400" size="2" />
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-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2256" name="Constant_75099" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>1</dim>
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-			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="2257" name="Multiply_74255" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
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-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2258" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
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-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>256</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2259" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>256</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Softmax_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>256</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2260" name="Constant_73564_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="1130230482" size="3276800" />
+		<layer id="1940" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="1130082088" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -37365,7 +33031,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2261" name="Constant_73564" type="Convert" version="opset1">
+		<layer id="1941" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -37377,13 +33043,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_v.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2262" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="1942" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37397,22 +33063,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="2096,value.57">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2263" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154780544" size="32" />
+		<layer id="1943" name="Constant_196329" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2264" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_4" type="Reshape" version="opset1">
+		<layer id="1944" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37425,7 +33094,7 @@
 				</port>
 			</input>
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-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="2110">
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 					<dim>256</dim>
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@@ -37433,15 +33102,15 @@
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 		</layer>
-		<layer id="2265" name="Constant_10347" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="1945" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
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-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="2266" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1946" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
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@@ -37449,12 +33118,12 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="2111,value.59">
 					<dim>1</dim>
 					<dim>8</dim>
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@@ -37462,16 +33131,8 @@
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 		</layer>
-		<layer id="2267" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154780576" size="24" />
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-				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_5_output_0">
-					<dim>3</dim>
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-			</output>
-		</layer>
-		<layer id="2268" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="1947" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
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@@ -37479,62 +33140,21 @@
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 					<dim>160</dim>
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-				<port id="1" precision="I64">
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-					<dim>160</dim>
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-		<layer id="2269" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
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-					<dim>256</dim>
-					<dim>256</dim>
-				</port>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
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 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-			</input>
-			<output>
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-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2270" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="161334202" size="32" />
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-				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_7_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2271" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_6_output_0">
+				<port id="3" precision="FP32" names="2112,hidden_states.351">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
@@ -37542,15 +33162,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2272" name="Constant_10370" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="1948" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="2273" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_4" type="Transpose" version="opset1">
+		<layer id="1949" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -37558,12 +33178,12 @@
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="2113">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>8</dim>
@@ -37571,15 +33191,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2274" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="151498600" size="24" />
+		<layer id="1950" name="Constant_196330" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="161101560" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_8_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2275" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_7" type="Reshape" version="opset1">
+		<layer id="1951" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37593,15 +33216,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_7_output_0">
+				<port id="2" precision="FP32" names="2117,2118,hidden_states.353,input.317">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2276" name="Constant_73571_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="1133507282" size="3276800" />
+		<layer id="1952" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="1133358888" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -37609,7 +33232,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2277" name="Constant_73571" type="Convert" version="opset1">
+		<layer id="1953" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -37621,13 +33244,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2278" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="1954" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37641,36 +33264,44 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2279" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
+		<layer id="1955" name="Constant_190312_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="1136635688" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="1956" name="Constant_190312" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2280" name="/up_blocks.1/attentions.0/transformer_blocks.0/Add" type="Add" version="opset1">
+		<layer id="1957" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37680,100 +33311,70 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>256</dim>
+					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/Add_output_0">
+				<port id="2" precision="FP32" names="2121,2123,attn_output.29,input.319">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2281" name="Constant_10382" type="Const" version="opset1">
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-				<port id="0" precision="I64">
-					<dim>1</dim>
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-		</layer>
-		<layer id="2282" name="/up_blocks.1/attentions.0/transformer_blocks.0/norm2/Div" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="1958" name="__module.up_blocks.1.attentions.0.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/norm2/Div_output_0">
+				<port id="2" precision="FP32" names="2124,input.321">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2283" name="Constant_75101_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1280" offset="1136784082" size="2560" />
+		<layer id="1959" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>1280</dim>
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-		<layer id="2284" name="Constant_75101" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
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-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="0" precision="I32">
 					<dim>1</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="2285" name="/up_blocks.1/attentions.0/transformer_blocks.0/norm2/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1960" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="1" precision="I32">
 					<dim>1</dim>
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/norm2/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2286" name="Constant_75102_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1280" offset="1136786642" size="2560" />
+		<layer id="1961" name="Constant_190313_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="1136638248" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -37782,7 +33383,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2287" name="Constant_75102" type="Convert" version="opset1">
+		<layer id="1962" name="Constant_190313" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -37802,7 +33403,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2288" name="/up_blocks.1/attentions.0/transformer_blocks.0/norm2/Add_1" type="Add" version="opset1">
+		<layer id="1963" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37817,42 +33418,45 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/norm2/Add_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
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-		<layer id="2289" name="Constant_73579_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="1136789202" size="3276800" />
+		<layer id="1964" name="Constant_190314_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="1136640808" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1280</dim>
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 			</output>
 		</layer>
-		<layer id="2290" name="Constant_73579" type="Convert" version="opset1">
+		<layer id="1965" name="Constant_190314" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1280</dim>
+					<dim>1</dim>
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 			<output>
 				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>1</dim>
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-		<layer id="2291" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
+		<layer id="1966" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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@@ -37860,107 +33464,119 @@
 					<dim>1280</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+				<port id="2" precision="FP32" names="2128,input.323">
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 					<dim>256</dim>
 					<dim>1280</dim>
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 		</layer>
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-			<data element_type="i64" shape="4" offset="154780544" size="32" />
+		<layer id="1967" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="1136643368" size="3276800" />
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-					<dim>4</dim>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
 				</port>
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 		</layer>
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-			<data special_zero="true" />
+		<layer id="1968" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
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+			</input>
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+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1969" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
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 			<output>
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 					<dim>256</dim>
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-				<port id="0" precision="I64">
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 		</layer>
-		<layer id="2295" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+		<layer id="1970" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
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 					<dim>256</dim>
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 			<output>
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+				<port id="2" precision="FP32" names="2148">
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 					<dim>256</dim>
+					<dim>8</dim>
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 		</layer>
-		<layer id="2296" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154780576" size="24" />
+		<layer id="1971" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_1_output_0">
-					<dim>3</dim>
+				<port id="0" precision="I32">
+					<dim>4</dim>
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 		</layer>
-		<layer id="2297" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="1972" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>8</dim>
 					<dim>256</dim>
+					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="2149,query.63">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2298" name="Constant_73586_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 768" offset="1140066002" size="1966080" />
+		<layer id="1973" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 768" offset="1139920168" size="1966080" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -37968,7 +33584,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2299" name="Constant_73586" type="Convert" version="opset1">
+		<layer id="1974" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -37980,13 +33596,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight">
 					<dim>1280</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2300" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="1975" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38000,22 +33616,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="2138,key.61">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2301" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="169859034" size="32" />
+		<layer id="1976" name="Constant_196331" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2302" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+		<layer id="1977" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38028,7 +33647,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="2151">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -38036,15 +33655,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2303" name="Constant_10421" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="1978" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="2304" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1979" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -38052,141 +33671,21 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
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-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
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-			</output>
-		</layer>
-		<layer id="2305" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="169859066" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_3_output_0">
-					<dim>3</dim>
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-			</output>
-		</layer>
-		<layer id="2306" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
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-				<port id="0" precision="FP32">
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-					<dim>8</dim>
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-					<dim>160</dim>
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-				<port id="1" precision="I64">
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-					<dim>77</dim>
-					<dim>160</dim>
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-		<layer id="2307" name="Constant_75103_compressed" type="Const" version="opset1">
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-		<layer id="2308" name="Constant_75103" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
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-					<dim>1</dim>
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-		<layer id="2309" name="Multiply_74257" type="Multiply" version="opset1">
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-					<dim>77</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2152,key.63">
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-			<output>
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 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>160</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2310" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
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-				<port id="0" precision="FP32">
-					<dim>8</dim>
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-					<dim>160</dim>
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-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
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-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2311" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>77</dim>
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-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>77</dim>
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-			</output>
-		</layer>
-		<layer id="2312" name="Constant_73593_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 768" offset="1142032082" size="1966080" />
+		<layer id="1980" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 768" offset="1141886248" size="1966080" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -38194,7 +33693,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2313" name="Constant_73593" type="Convert" version="opset1">
+		<layer id="1981" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -38206,13 +33705,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_v.weight">
 					<dim>1280</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2314" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="1982" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38226,22 +33725,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="2140,value.61">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2315" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="169859034" size="32" />
+		<layer id="1983" name="Constant_196332" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2316" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_4" type="Reshape" version="opset1">
+		<layer id="1984" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38254,7 +33756,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="2154">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -38262,15 +33764,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2317" name="Constant_10437" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="1985" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
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+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="2318" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1986" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
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@@ -38278,12 +33780,12 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="2155,value.63">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
@@ -38291,79 +33793,30 @@
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 		</layer>
-		<layer id="2319" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="169859066" size="24" />
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-				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_5_output_0">
-					<dim>3</dim>
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-			</output>
-		</layer>
-		<layer id="2320" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="1987" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>8</dim>
-					<dim>77</dim>
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-				<port id="1" precision="I64">
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-					<dim>77</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2321" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
 					<dim>8</dim>
 					<dim>256</dim>
-					<dim>77</dim>
+					<dim>160</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
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 					<dim>77</dim>
 					<dim>160</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/MatMul_1_output_0">
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-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2322" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="161334202" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_7_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2323" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
-					<dim>256</dim>
+					<dim>77</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_6_output_0">
+				<port id="3" precision="FP32" names="2156,hidden_states.357">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
@@ -38371,15 +33824,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2324" name="Constant_10460" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="1988" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 			</output>
 		</layer>
-		<layer id="2325" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose_4" type="Transpose" version="opset1">
+		<layer id="1989" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -38387,12 +33840,12 @@
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="2157">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>8</dim>
@@ -38400,15 +33853,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2326" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="151498600" size="24" />
+		<layer id="1990" name="Constant_196333" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="161101560" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_8_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2327" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_7" type="Reshape" version="opset1">
+		<layer id="1991" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38422,15 +33878,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_7_output_0">
+				<port id="2" precision="FP32" names="2161,2162,hidden_states.359,input.325">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
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 			</output>
 		</layer>
-		<layer id="2328" name="Constant_73600_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="1143998162" size="3276800" />
+		<layer id="1992" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="1143852328" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -38438,7 +33894,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2329" name="Constant_73600" type="Convert" version="opset1">
+		<layer id="1993" name="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -38450,13 +33906,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2330" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="1994" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38470,36 +33926,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2331" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1995" name="Constant_190315_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="1147129128" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1996" name="Constant_190315" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1997" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+				<port id="2" precision="FP32" names="2165,2167,attn_output.31,input.327">
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 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2332" name="/up_blocks.1/attentions.0/transformer_blocks.0/Add_1" type="Add" version="opset1">
+		<layer id="1998" name="__module.up_blocks.1.attentions.0.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38514,22 +34000,22 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/Add_1_output_0">
+				<port id="2" precision="FP32" names="2168,input.329">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
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 		</layer>
-		<layer id="2333" name="Constant_10472" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="1999" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2334" name="/up_blocks.1/attentions.0/transformer_blocks.0/norm3/Div" type="MVN" version="opset6">
+		<layer id="2000" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38537,20 +34023,20 @@
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/norm3/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2335" name="Constant_75105_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1280" offset="1147274962" size="2560" />
+		<layer id="2001" name="Constant_190316_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="1147131688" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -38559,7 +34045,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2336" name="Constant_75105" type="Convert" version="opset1">
+		<layer id="2002" name="Constant_190316" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -38579,7 +34065,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2337" name="/up_blocks.1/attentions.0/transformer_blocks.0/norm3/Mul" type="Multiply" version="opset1">
+		<layer id="2003" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38594,15 +34080,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/norm3/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2338" name="Constant_75106_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1280" offset="1147277522" size="2560" />
+		<layer id="2004" name="Constant_190317_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="1147134248" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -38611,7 +34097,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2339" name="Constant_75106" type="Convert" version="opset1">
+		<layer id="2005" name="Constant_190317" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -38631,7 +34117,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2340" name="/up_blocks.1/attentions.0/transformer_blocks.0/norm3/Add_1" type="Add" version="opset1">
+		<layer id="2006" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38646,15 +34132,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/norm3/Add_1_output_0">
+				<port id="2" precision="FP32" names="2172,input.331">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
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 		</layer>
-		<layer id="2341" name="Constant_73608_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1280" offset="1147280082" size="26214400" />
+		<layer id="2007" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1280" offset="1147136808" size="26214400" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -38662,7 +34148,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2342" name="Constant_73608" type="Convert" version="opset1">
+		<layer id="2008" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -38674,13 +34160,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.weight">
 					<dim>10240</dim>
 					<dim>1280</dim>
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 			</output>
 		</layer>
-		<layer id="2343" name="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul" type="MatMul" version="opset1">
+		<layer id="2009" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38694,349 +34180,226 @@
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>10240</dim>
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 		</layer>
-		<layer id="2344" name="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/proj/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
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+		<layer id="2016" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
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-					<dim>1</dim>
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+				<port id="3" precision="I32" />
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 		</layer>
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+		<layer id="2017" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="23692" size="4" />
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+				<port id="0" precision="I32" />
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 		</layer>
-		<layer id="2357" name="ScatterUpdate_65379" type="ScatterUpdate" version="opset3">
+		<layer id="2018" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
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+				<port id="1" precision="I32" />
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+		<layer id="2020" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
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-				<port id="0" precision="I64">
+		<layer id="2021" name="Convert_195331" type="Convert" version="opset1">
+			<data destination_type="i32" />
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+			</input>
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 		</layer>
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-				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Constant_5_output_0">
+				<port id="2" precision="I32">
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 			</output>
 		</layer>
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-			</input>
+		<layer id="2023" name="Constant_113260" type="Const" version="opset1">
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+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
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 		</layer>
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-				<port id="0" precision="I64">
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+				<port id="2" precision="I32">
+					<dim>2</dim>
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 		</layer>
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+		<layer id="2025" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
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 					<dim>256</dim>
 					<dim>10240</dim>
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-					<dim>3</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="I64" />
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+					<dim>2</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="3" precision="FP32" names="2182,hidden_states.363">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="4" precision="FP32" names="2183,gate.15">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2370" name="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+		<layer id="2026" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39046,14 +34409,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+				<port id="1" precision="FP32" names="2184">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2371" name="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+		<layer id="2027" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39068,15 +34431,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+				<port id="2" precision="FP32" names="2185,input.333">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2372" name="Constant_73616_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 5120" offset="1173494482" size="13107200" />
+		<layer id="2028" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 5120" offset="1173371688" size="13107200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -39084,7 +34447,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2373" name="Constant_73616" type="Convert" version="opset1">
+		<layer id="2029" name="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -39096,13 +34459,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight">
 					<dim>1280</dim>
 					<dim>5120</dim>
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 		</layer>
-		<layer id="2374" name="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+		<layer id="2030" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39116,36 +34479,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.2/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2375" name="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2031" name="Constant_190319_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="1186478888" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2032" name="Constant_190319" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2033" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.2/Add_output_0">
+				<port id="2" precision="FP32" names="2189,ff_output.15">
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 					<dim>256</dim>
 					<dim>1280</dim>
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 			</output>
 		</layer>
-		<layer id="2376" name="/up_blocks.1/attentions.0/transformer_blocks.0/Add_2" type="Add" version="opset1">
+		<layer id="2034" name="__module.up_blocks.1.attentions.0.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39160,23 +34553,135 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/Add_2_output_0">
+				<port id="2" precision="FP32" names="2190,hidden_states.365">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
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 			</output>
 		</layer>
-		<layer id="2377" name="/up_blocks.1/attentions.0/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="214428690" size="32" />
+		<layer id="2035" name="Constant_194877" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2036" name="Constant_194878" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/Constant_1_output_0">
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2037" name="Gather_194879" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="1069,1106,2053,2090">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2378" name="/up_blocks.1/attentions.0/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2038" name="ShapeOf_195233" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2039" name="Constant_196656" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="1186481448" size="16" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2040" name="Constant_196657" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2041" name="Gather_196658" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2042" name="__module.up_blocks.1.attentions.0/prim::ListConstruct/Reshape_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="214224144" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2043" name="__module.up_blocks.1.attentions.0/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="I64" names="2191">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2044" name="__module.up_blocks.1.attentions.0/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -39188,7 +34693,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="2192">
 					<dim>1</dim>
 					<dim>16</dim>
 					<dim>16</dim>
@@ -39196,15 +34701,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2379" name="Constant_10654" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="13790206" size="32" />
+		<layer id="2045" name="Constant_79599" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="13522496" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="2193">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2380" name="/up_blocks.1/attentions.0/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2046" name="__module.up_blocks.1.attentions.0/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -39217,7 +34722,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="2194">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -39225,8 +34730,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2381" name="up_blocks.1.attentions.0.proj_out.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280, 1, 1" offset="1186601682" size="3276800" />
+		<layer id="2047" name="self.up_blocks.1.attentions.0.proj_out.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280, 1, 1" offset="1186481464" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -39236,7 +34741,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2382" name="up_blocks.1.attentions.0.proj_out.weight" type="Convert" version="opset1">
+		<layer id="2048" name="self.up_blocks.1.attentions.0.proj_out.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -39250,7 +34755,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.1.attentions.0.proj_out.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.0.proj_out.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -39258,7 +34763,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2383" name="/up_blocks.1/attentions.0/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="2049" name="__module.up_blocks.1.attentions.0.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39283,8 +34788,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2384" name="Reshape_10676_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="1189878482" size="2560" />
+		<layer id="2050" name="__module.up_blocks.1.attentions.0.proj_out/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="1189758264" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -39294,7 +34799,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2385" name="Reshape_10676" type="Convert" version="opset1">
+		<layer id="2051" name="__module.up_blocks.1.attentions.0.proj_out/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -39316,7 +34821,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2386" name="/up_blocks.1/attentions.0/proj_out/Conv" type="Add" version="opset1">
+		<layer id="2052" name="__module.up_blocks.1.attentions.0.proj_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39333,7 +34838,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/proj_out/Conv_output_0">
+				<port id="2" precision="FP32" names="2202,hidden_states.369">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -39341,7 +34846,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2387" name="/up_blocks.1/attentions.0/Add" type="Add" version="opset1">
+		<layer id="2053" name="__module.up_blocks.1.attentions.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39358,7 +34863,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/Add_output_0">
+				<port id="2" precision="FP32" names="2203,hidden_states.371">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -39366,7 +34871,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2388" name="/up_blocks.1/Concat_1" type="Concat" version="opset1">
+		<layer id="2054" name="__module.up_blocks.1/aten::cat/Concat_1" type="Concat" version="opset1">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39383,7 +34888,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/Concat_1_output_0">
+				<port id="2" precision="FP32" names="2205,input.337">
 					<dim>1</dim>
 					<dim>2560</dim>
 					<dim>16</dim>
@@ -39391,8 +34896,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2389" name="up_blocks.1.resnets.1.conv_shortcut.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 2560, 1, 1" offset="1189881042" size="6553600" />
+		<layer id="2055" name="self.up_blocks.1.resnets.1.conv_shortcut.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 2560, 1, 1" offset="1189760824" size="6553600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -39402,7 +34907,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2390" name="up_blocks.1.resnets.1.conv_shortcut.weight" type="Convert" version="opset1">
+		<layer id="2056" name="self.up_blocks.1.resnets.1.conv_shortcut.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -39416,7 +34921,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.1.resnets.1.conv_shortcut.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.1.resnets.1.conv_shortcut.weight">
 					<dim>1280</dim>
 					<dim>2560</dim>
 					<dim>1</dim>
@@ -39424,7 +34929,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2391" name="/up_blocks.1/resnets.1/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="2057" name="__module.up_blocks.1.resnets.1.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39449,8 +34954,8 @@
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 			</output>
 		</layer>
-		<layer id="2392" name="Reshape_11061_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="1196434642" size="2560" />
+		<layer id="2058" name="__module.up_blocks.1.resnets.1.conv_shortcut/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="1196314424" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -39460,7 +34965,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2393" name="Reshape_11061" type="Convert" version="opset1">
+		<layer id="2059" name="__module.up_blocks.1.resnets.1.conv_shortcut/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -39482,7 +34987,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2394" name="/up_blocks.1/resnets.1/conv_shortcut/Conv" type="Add" version="opset1">
+		<layer id="2060" name="__module.up_blocks.1.resnets.1.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39499,7 +35004,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.1/conv_shortcut/Conv_output_0">
+				<port id="2" precision="FP32" names="2251,input_tensor.13">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -39507,15 +35012,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2395" name="/up_blocks.1/resnets.1/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="2061" name="__module.up_blocks.1.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/resnets.1/norm1/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2396" name="/up_blocks.1/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+		<layer id="2062" name="__module.up_blocks.1.resnets.1.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39524,27 +35032,27 @@
 					<dim>16</dim>
 					<dim>16</dim>
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-				<port id="1" precision="I64">
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-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="2063" name="__module.up_blocks.1.resnets.1.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
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-		<layer id="2398" name="MVN_10716" type="MVN" version="opset6">
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@@ -39552,20 +35060,20 @@
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-		<layer id="2399" name="/up_blocks.1/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
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+		<layer id="2065" name="__module.up_blocks.1.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
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@@ -39575,12 +35083,12 @@
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@@ -39588,12 +35096,12 @@
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 					<dim>20480</dim>
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@@ -39601,8 +35109,8 @@
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@@ -39612,7 +35120,7 @@
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-		<layer id="2402" name="Constant_75109" type="Convert" version="opset1">
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@@ -39634,7 +35142,7 @@
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@@ -39651,7 +35159,7 @@
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@@ -39659,8 +35167,8 @@
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-			<data element_type="f16" shape="1, 2560, 1, 1" offset="1196442322" size="5120" />
+		<layer id="2070" name="Constant_190321_compressed" type="Const" version="opset1">
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@@ -39670,7 +35178,7 @@
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 		</layer>
-		<layer id="2405" name="Constant_75110" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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@@ -39692,7 +35200,7 @@
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@@ -39709,7 +35217,7 @@
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+				<port id="2" precision="FP32" names="2215,input.339">
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 					<dim>2560</dim>
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@@ -39717,7 +35225,7 @@
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 		</layer>
-		<layer id="2407" name="/up_blocks.1/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="2073" name="__module.conv_act/aten::silu/Swish_43" type="Swish" version="opset4">
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 				<port id="0" precision="FP32">
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@@ -39727,7 +35235,7 @@
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 					<dim>2560</dim>
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@@ -39735,8 +35243,8 @@
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+			<data element_type="f16" shape="1280, 2560, 3, 3" offset="1196327224" size="58982400" />
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 				<port id="0" precision="FP16">
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@@ -39746,7 +35254,7 @@
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 			<rt_info>
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@@ -39760,7 +35268,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.1.resnets.1.conv1.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.1.resnets.1.conv1.weight">
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 					<dim>2560</dim>
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@@ -39768,7 +35276,7 @@
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 		</layer>
-		<layer id="2410" name="/up_blocks.1/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
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 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
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@@ -39793,8 +35301,8 @@
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-			<data element_type="f16" shape="1, 1280, 1, 1" offset="1255429842" size="2560" />
+		<layer id="2077" name="__module.up_blocks.1.resnets.1.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="1255309624" size="2560" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -39804,7 +35312,7 @@
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 			</output>
 		</layer>
-		<layer id="2412" name="Reshape_10840" type="Convert" version="opset1">
+		<layer id="2078" name="__module.up_blocks.1.resnets.1.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -39826,7 +35334,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2413" name="/up_blocks.1/resnets.1/conv1/Conv" type="Add" version="opset1">
+		<layer id="2079" name="__module.up_blocks.1.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -39843,7 +35351,7 @@
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2223,hidden_states.375">
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 					<dim>1280</dim>
 					<dim>16</dim>
@@ -39851,8 +35359,8 @@
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 			</output>
 		</layer>
-		<layer id="2414" name="up_blocks.1.resnets.1.time_emb_proj.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="1255432402" size="3276800" />
+		<layer id="2080" name="self.up_blocks.1.resnets.1.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="1255312184" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
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@@ -39860,7 +35368,7 @@
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 		</layer>
-		<layer id="2415" name="up_blocks.1.resnets.1.time_emb_proj.weight" type="Convert" version="opset1">
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 			<data destination_type="f32" />
 			<rt_info>
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@@ -39872,13 +35380,13 @@
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 			</input>
 			<output>
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+				<port id="1" precision="FP32" names="self.up_blocks.1.resnets.1.time_emb_proj.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
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 		</layer>
-		<layer id="2416" name="/up_blocks.1/resnets.1/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+		<layer id="2082" name="__module.up_blocks.1.resnets.1.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39897,8 +35405,8 @@
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-		<layer id="2417" name="Constant_75111_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280" offset="1258709202" size="2560" />
+		<layer id="2083" name="Constant_190322_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280" offset="1258588984" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
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@@ -39906,7 +35414,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2418" name="Constant_75111" type="Convert" version="opset1">
+		<layer id="2084" name="Constant_190322" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -39924,7 +35432,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2419" name="/up_blocks.1/resnets.1/time_emb_proj/Gemm" type="Add" version="opset1">
+		<layer id="2085" name="__module.up_blocks.1.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39937,59 +35445,39 @@
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.1/time_emb_proj/Gemm_output_0">
+				<port id="2" precision="FP32" names="2227,2228,2229">
 					<dim>1</dim>
 					<dim>1280</dim>
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-			</output>
-		</layer>
-		<layer id="2421" name="/up_blocks.1/resnets.1/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="2086" name="__module.up_blocks.1.resnets.1/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
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+				<port id="1" precision="I64" />
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.1/Unsqueeze_output_0">
+				<port id="2" precision="FP32" names="2230">
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 					<dim>1280</dim>
 					<dim>1</dim>
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-				<port id="0" precision="I64" names="/up_blocks.1/resnets.1/Constant_1_output_0">
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-		</layer>
-		<layer id="2423" name="/up_blocks.1/resnets.1/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="2087" name="__module.up_blocks.1.resnets.1/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
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-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.1/Unsqueeze_1_output_0">
+				<port id="2" precision="FP32" names="2231,temb.29">
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 					<dim>1280</dim>
 					<dim>1</dim>
@@ -39997,7 +35485,7 @@
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 		</layer>
-		<layer id="2424" name="/up_blocks.1/resnets.1/Add" type="Add" version="opset1">
+		<layer id="2088" name="__module.up_blocks.1.resnets.1/aten::add/Add" type="Add" version="opset1">
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@@ -40014,7 +35502,7 @@
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.1/Add_output_0">
+				<port id="2" precision="FP32" names="2232,input.343">
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 					<dim>1280</dim>
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@@ -40022,15 +35510,18 @@
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+		<layer id="2089" name="__module.up_blocks.1.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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-		<layer id="2426" name="/up_blocks.1/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
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@@ -40039,27 +35530,27 @@
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 					<dim>16</dim>
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-				<port id="1" precision="I64">
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-		<layer id="2427" name="Constant_10888" type="Const" version="opset1">
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-		<layer id="2428" name="MVN_10889" type="MVN" version="opset6">
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@@ -40067,20 +35558,20 @@
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+		<layer id="2093" name="__module.up_blocks.1.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
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@@ -40103,12 +35594,12 @@
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@@ -40116,8 +35607,8 @@
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+		<layer id="2095" name="Constant_190323_compressed" type="Const" version="opset1">
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-		<layer id="2432" name="Constant_75112" type="Convert" version="opset1">
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@@ -40174,8 +35665,8 @@
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-			<data element_type="f16" shape="1, 1280, 1, 1" offset="1258714322" size="2560" />
+		<layer id="2098" name="Constant_190324_compressed" type="Const" version="opset1">
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@@ -40185,7 +35676,7 @@
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-		<layer id="2435" name="Constant_75113" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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@@ -40207,7 +35698,7 @@
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 				<port id="0" precision="FP32">
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@@ -40250,8 +35741,8 @@
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+			<data element_type="f16" shape="1280, 1280, 3, 3" offset="1258596664" size="29491200" />
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@@ -40261,7 +35752,7 @@
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@@ -40275,7 +35766,7 @@
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 					<dim>1280</dim>
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@@ -40283,7 +35774,7 @@
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@@ -40308,8 +35799,8 @@
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+		<layer id="2105" name="__module.up_blocks.1.resnets.1.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
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@@ -40319,7 +35810,7 @@
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 		</layer>
-		<layer id="2442" name="Reshape_11013" type="Convert" version="opset1">
+		<layer id="2106" name="__module.up_blocks.1.resnets.1.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -40341,7 +35832,7 @@
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 			</output>
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+				<port id="2" precision="FP32" names="2244,hidden_states.379">
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 					<dim>1280</dim>
 					<dim>16</dim>
@@ -40366,7 +35857,7 @@
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
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@@ -40383,7 +35874,7 @@
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 					<dim>1280</dim>
 					<dim>16</dim>
@@ -40391,15 +35882,18 @@
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+		<layer id="2109" name="__module.up_blocks.1.attentions.1.norm/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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 			<output>
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 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -40408,27 +35902,27 @@
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 					<dim>16</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
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 					<dim>32</dim>
 					<dim>10240</dim>
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-		<layer id="2447" name="Constant_11101" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="2111" name="__module.up_blocks.1.attentions.1.norm/aten::group_norm/Constant_1" type="Const" version="opset1">
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-		<layer id="2448" name="MVN_11102" type="MVN" version="opset6">
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 			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -40436,20 +35930,20 @@
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 					<dim>10240</dim>
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-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/norm/InstanceNormalization_output_0">
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 					<dim>32</dim>
 					<dim>10240</dim>
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 		</layer>
-		<layer id="2449" name="/up_blocks.1/attentions.1/norm/Shape" type="ShapeOf" version="opset3">
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+		<layer id="2113" name="__module.up_blocks.1.attentions.1.norm/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
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@@ -40459,12 +35953,12 @@
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 			<output>
-				<port id="1" precision="I64" names="/up_blocks.1/attentions.1/norm/Shape_output_0">
+				<port id="1" precision="I32">
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 		</layer>
-		<layer id="2450" name="/up_blocks.1/attentions.1/norm/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2114" name="__module.up_blocks.1.attentions.1.norm/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
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 				<port id="0" precision="FP32">
@@ -40472,12 +35966,12 @@
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 					<dim>10240</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
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+				<port id="2" precision="FP32">
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 					<dim>1280</dim>
 					<dim>16</dim>
@@ -40485,8 +35979,8 @@
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 				<port id="0" precision="FP16">
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@@ -40496,7 +35990,7 @@
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 		</layer>
-		<layer id="2452" name="Constant_75114" type="Convert" version="opset1">
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@@ -40518,7 +36012,7 @@
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@@ -40535,7 +36029,7 @@
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+				<port id="2" precision="FP32">
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@@ -40543,8 +36037,8 @@
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@@ -40554,7 +36048,7 @@
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-		<layer id="2455" name="Constant_75115" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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@@ -40576,7 +36070,7 @@
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@@ -40601,8 +36095,8 @@
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@@ -40612,7 +36106,7 @@
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@@ -40626,7 +36120,7 @@
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@@ -40634,7 +36128,7 @@
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@@ -40659,8 +36153,8 @@
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-			<data element_type="f16" shape="1, 1280, 1, 1" offset="1291492562" size="2560" />
+		<layer id="2124" name="__module.up_blocks.1.attentions.1.proj_in/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="1291372344" size="2560" />
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 					<dim>1</dim>
@@ -40670,7 +36164,7 @@
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-		<layer id="2461" name="Reshape_11224" type="Convert" version="opset1">
+		<layer id="2125" name="__module.up_blocks.1.attentions.1.proj_in/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -40692,7 +36186,7 @@
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 			</output>
 		</layer>
-		<layer id="2462" name="/up_blocks.1/attentions.1/proj_in/Conv" type="Add" version="opset1">
+		<layer id="2126" name="__module.up_blocks.1.attentions.1.proj_in/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -40709,7 +36203,7 @@
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-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/proj_in/Conv_output_0">
+				<port id="2" precision="FP32" names="2273,hidden_states.385">
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 					<dim>1280</dim>
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@@ -40717,15 +36211,15 @@
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-		<layer id="2463" name="Constant_11252" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9116592" size="32" />
+		<layer id="2127" name="Constant_80158" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="8841984" size="32" />
 			<output>
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+				<port id="0" precision="I64" names="2275">
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-		<layer id="2464" name="/up_blocks.1/attentions.1/Transpose" type="Transpose" version="opset1">
+		<layer id="2128" name="__module.up_blocks.1.attentions.1/aten::permute/Transpose" type="Transpose" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -40738,7 +36232,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/Transpose_output_0">
+				<port id="2" precision="FP32" names="2276">
 					<dim>1</dim>
 					<dim>16</dim>
 					<dim>16</dim>
@@ -40746,15 +36240,18 @@
 				</port>
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-		<layer id="2465" name="/up_blocks.1/attentions.1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="151498600" size="24" />
+		<layer id="2129" name="Constant_196334" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="151265984" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/Constant_output_0">
+				<port id="0" precision="I64">
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 		</layer>
-		<layer id="2466" name="/up_blocks.1/attentions.1/Reshape" type="Reshape" version="opset1">
+		<layer id="2130" name="__module.up_blocks.1.attentions.1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
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@@ -40768,22 +36265,22 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/Reshape_output_0">
+				<port id="2" precision="FP32" names="2280,hidden_states.387">
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 					<dim>256</dim>
 					<dim>1280</dim>
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-		<layer id="2467" name="Constant_11261" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="2131" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
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-		<layer id="2468" name="/up_blocks.1/attentions.1/transformer_blocks.0/norm1/Div" type="MVN" version="opset6">
+		<layer id="2132" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -40791,20 +36288,20 @@
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/norm1/Div_output_0">
+				<port id="2" precision="FP32">
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 					<dim>256</dim>
 					<dim>1280</dim>
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-		<layer id="2469" name="Constant_75116_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1280" offset="1291495122" size="2560" />
+		<layer id="2133" name="Constant_190327_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="1291374904" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -40813,7 +36310,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2470" name="Constant_75116" type="Convert" version="opset1">
+		<layer id="2134" name="Constant_190327" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -40833,7 +36330,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2471" name="/up_blocks.1/attentions.1/transformer_blocks.0/norm1/Mul" type="Multiply" version="opset1">
+		<layer id="2135" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -40848,15 +36345,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/norm1/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
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-		<layer id="2472" name="Constant_75117_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1280" offset="1291497682" size="2560" />
+		<layer id="2136" name="Constant_190328_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="1291377464" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -40865,7 +36362,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2473" name="Constant_75117" type="Convert" version="opset1">
+		<layer id="2137" name="Constant_190328" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -40885,7 +36382,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2474" name="/up_blocks.1/attentions.1/transformer_blocks.0/norm1/Add_1" type="Add" version="opset1">
+		<layer id="2138" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -40900,15 +36397,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/norm1/Add_1_output_0">
+				<port id="2" precision="FP32" names="2290,hidden_states.389">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
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-		<layer id="2475" name="Constant_73626_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="1291500242" size="3276800" />
+		<layer id="2139" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="1291380024" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -40916,7 +36413,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2476" name="Constant_73626" type="Convert" version="opset1">
+		<layer id="2140" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -40928,13 +36425,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
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 			</output>
 		</layer>
-		<layer id="2477" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+		<layer id="2141" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
@@ -40948,22 +36445,25 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+				<port id="2" precision="FP32" names="2298,query.65">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
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 			</output>
 		</layer>
-		<layer id="2478" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154780544" size="32" />
+		<layer id="2142" name="Constant_196335" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
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 		</layer>
-		<layer id="2479" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
+		<layer id="2143" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -40976,7 +36476,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_output_0">
+				<port id="2" precision="FP32" names="2310">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>8</dim>
@@ -40984,15 +36484,15 @@
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 			</output>
 		</layer>
-		<layer id="2480" name="Constant_11284" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2144" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="2481" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+		<layer id="2145" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -41000,12 +36500,12 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_output_0">
+				<port id="2" precision="FP32" names="2311,query.67">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
@@ -41013,37 +36513,8 @@
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 			</output>
 		</layer>
-		<layer id="2482" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154780576" size="24" />
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-				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_1_output_0">
-					<dim>3</dim>
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-		</layer>
-		<layer id="2483" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
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-					<dim>160</dim>
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-				<port id="1" precision="I64">
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-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_1_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
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-			</output>
-		</layer>
-		<layer id="2484" name="Constant_73633_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="1294777042" size="3276800" />
+		<layer id="2146" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="1294656824" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -41051,7 +36522,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2485" name="Constant_73633" type="Convert" version="opset1">
+		<layer id="2147" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -41063,13 +36534,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
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 		</layer>
-		<layer id="2486" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="2148" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
@@ -41083,22 +36554,25 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="2300,key.65">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
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 		</layer>
-		<layer id="2487" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154780544" size="32" />
+		<layer id="2149" name="Constant_196336" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
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 		</layer>
-		<layer id="2488" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+		<layer id="2150" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
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@@ -41111,7 +36585,7 @@
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="2313">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>8</dim>
@@ -41119,15 +36593,15 @@
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 		</layer>
-		<layer id="2489" name="Constant_11300" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2151" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2490" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2152" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -41135,12 +36609,12 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="2314,key.67">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
@@ -41148,128 +36622,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2491" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154780576" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_3_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2492" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_3_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2493" name="Constant_75118_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="158057400" size="2" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2494" name="Constant_75118" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2495" name="Multiply_74259" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2496" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>256</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2497" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>256</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Softmax_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>256</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2498" name="Constant_73640_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="1298053842" size="3276800" />
+		<layer id="2153" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="1297933624" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -41277,7 +36631,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2499" name="Constant_73640" type="Convert" version="opset1">
+		<layer id="2154" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -41289,13 +36643,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2500" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="2155" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -41309,22 +36663,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="2302,value.65">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2501" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154780544" size="32" />
+		<layer id="2156" name="Constant_196337" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2502" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_4" type="Reshape" version="opset1">
+		<layer id="2157" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -41337,7 +36694,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="2316">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>8</dim>
@@ -41345,15 +36702,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2503" name="Constant_11316" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2158" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2504" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+		<layer id="2159" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -41361,12 +36718,12 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="2317,value.67">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
@@ -41374,16 +36731,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2505" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154780576" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_5_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2506" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2160" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -41391,62 +36740,21 @@
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_5_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2507" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>256</dim>
-				</port>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/MatMul_1_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2508" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="161334202" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_7_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2509" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_6_output_0">
+				<port id="3" precision="FP32" names="2318,hidden_states.391">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
@@ -41454,15 +36762,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2510" name="Constant_11339" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2161" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2511" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_4" type="Transpose" version="opset1">
+		<layer id="2162" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -41470,12 +36778,12 @@
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="2319">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>8</dim>
@@ -41483,15 +36791,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2512" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="151498600" size="24" />
+		<layer id="2163" name="Constant_196338" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="161101560" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_8_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2513" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_7" type="Reshape" version="opset1">
+		<layer id="2164" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -41505,15 +36816,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_7_output_0">
+				<port id="2" precision="FP32" names="2323,2324,hidden_states.393,input.349">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2514" name="Constant_73647_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="1301330642" size="3276800" />
+		<layer id="2165" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="1301210424" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -41521,7 +36832,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2515" name="Constant_73647" type="Convert" version="opset1">
+		<layer id="2166" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -41533,13 +36844,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_out.0.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2516" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="2167" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -41553,36 +36864,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2517" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2168" name="Constant_190329_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="1304487224" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2169" name="Constant_190329" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
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+			</input>
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+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
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+		<layer id="2170" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
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 					<dim>256</dim>
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+				<port id="1" precision="FP32">
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+		<layer id="2171" name="__module.up_blocks.1.attentions.1.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
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@@ -41597,22 +36938,22 @@
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-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="2172" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
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+		<layer id="2173" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
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@@ -41620,20 +36961,20 @@
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 					<dim>1280</dim>
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-			<data element_type="f16" shape="1, 1, 1280" offset="1304607442" size="2560" />
+		<layer id="2174" name="Constant_190330_compressed" type="Const" version="opset1">
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@@ -41642,7 +36983,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2522" name="Constant_75120" type="Convert" version="opset1">
+		<layer id="2175" name="Constant_190330" type="Convert" version="opset1">
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@@ -41662,7 +37003,7 @@
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 		</layer>
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+		<layer id="2176" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -41677,15 +37018,15 @@
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 			<output>
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-			<data element_type="f16" shape="1, 1, 1280" offset="1304610002" size="2560" />
+		<layer id="2177" name="Constant_190331_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="1304492344" size="2560" />
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 				<port id="0" precision="FP16">
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@@ -41694,7 +37035,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2525" name="Constant_75121" type="Convert" version="opset1">
+		<layer id="2178" name="Constant_190331" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -41714,7 +37055,7 @@
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 		</layer>
-		<layer id="2526" name="/up_blocks.1/attentions.1/transformer_blocks.0/norm2/Add_1" type="Add" version="opset1">
+		<layer id="2179" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -41729,15 +37070,15 @@
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/norm2/Add_1_output_0">
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-			<data element_type="f16" shape="1280, 1280" offset="1304612562" size="3276800" />
+		<layer id="2180" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_q.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="1304494904" size="3276800" />
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 				<port id="0" precision="FP16">
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@@ -41745,7 +37086,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2528" name="Constant_73655" type="Convert" version="opset1">
+		<layer id="2181" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_q.weight" type="Convert" version="opset1">
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@@ -41757,13 +37098,13 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_q.weight">
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 		</layer>
-		<layer id="2529" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
+		<layer id="2182" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -41777,23 +37118,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+				<port id="2" precision="FP32" names="2342,query.69">
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 		</layer>
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-			<data special_zero="true" />
+		<layer id="2183" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
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@@ -41805,7 +37138,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_output_0">
+				<port id="2" precision="FP32" names="2354">
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 					<dim>256</dim>
 					<dim>8</dim>
@@ -41813,15 +37146,15 @@
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 			</output>
 		</layer>
-		<layer id="2532" name="Constant_11374" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2184" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
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 		</layer>
-		<layer id="2533" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+		<layer id="2185" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
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@@ -41829,12 +37162,12 @@
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 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_output_0">
+				<port id="2" precision="FP32" names="2355,query.71">
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@@ -41842,263 +37175,8 @@
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 		</layer>
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-					<dim>256</dim>
-					<dim>160</dim>
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-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2549" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>77</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Softmax_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2550" name="Constant_73669_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 768" offset="1309855442" size="1966080" />
+		<layer id="2186" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 768" offset="1307771704" size="1966080" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -42106,7 +37184,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2551" name="Constant_73669" type="Convert" version="opset1">
+		<layer id="2187" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -42118,13 +37196,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_k.weight">
 					<dim>1280</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2552" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="2188" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42138,22 +37216,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="2344,key.69">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2553" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="169859034" size="32" />
+		<layer id="2189" name="Constant_196339" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2554" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_4" type="Reshape" version="opset1">
+		<layer id="2190" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42166,7 +37247,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="2357">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -42174,15 +37255,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2555" name="Constant_11406" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2191" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2556" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+		<layer id="2192" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -42190,12 +37271,12 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="2358,key.71">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
@@ -42203,79 +37284,139 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2557" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="169859066" size="24" />
+		<layer id="2193" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 768" offset="1309737784" size="1966080" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_5_output_0">
-					<dim>3</dim>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2558" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2194" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v.weight">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2195" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>8</dim>
 					<dim>77</dim>
-					<dim>160</dim>
+					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_5_output_0">
-					<dim>8</dim>
+				<port id="2" precision="FP32" names="2346,value.69">
+					<dim>1</dim>
 					<dim>77</dim>
-					<dim>160</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2196" name="Constant_196340" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2559" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
+		<layer id="2197" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
+					<dim>1</dim>
 					<dim>77</dim>
+					<dim>1280</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="2360">
+					<dim>1</dim>
+					<dim>77</dim>
 					<dim>8</dim>
-					<dim>256</dim>
 					<dim>160</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2560" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="161334202" size="32" />
+		<layer id="2198" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_7_output_0">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2561" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2199" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
 					<dim>8</dim>
-					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_6_output_0">
+				<port id="2" precision="FP32" names="2361,value.71">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2200" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>160</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="2362,hidden_states.397">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
@@ -42283,15 +37424,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2562" name="Constant_11429" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2201" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2563" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_4" type="Transpose" version="opset1">
+		<layer id="2202" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -42299,12 +37440,12 @@
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="2363">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>8</dim>
@@ -42312,15 +37453,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2564" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="151498600" size="24" />
+		<layer id="2203" name="Constant_196341" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="161101560" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_8_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2565" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_7" type="Reshape" version="opset1">
+		<layer id="2204" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42334,15 +37478,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_7_output_0">
+				<port id="2" precision="FP32" names="2367,2368,hidden_states.399,input.357">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2566" name="Constant_73676_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="1311821522" size="3276800" />
+		<layer id="2205" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="1311703864" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -42350,7 +37494,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2567" name="Constant_73676" type="Convert" version="opset1">
+		<layer id="2206" name="self.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -42362,13 +37506,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2568" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="2207" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42382,36 +37526,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2569" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2208" name="Constant_190332_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="1314980664" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2209" name="Constant_190332" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2210" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="1" precision="FP32">
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@@ -42426,22 +37600,22 @@
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+			<data element_type="i32" shape="1" offset="8842040" size="4" />
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@@ -42449,20 +37623,20 @@
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 					<dim>1280</dim>
 				</port>
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+		<layer id="2214" name="Constant_190333_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
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@@ -42471,7 +37645,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2574" name="Constant_75124" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -42491,7 +37665,7 @@
 				</port>
 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
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@@ -42506,15 +37680,15 @@
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 			</input>
 			<output>
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 					<dim>256</dim>
 					<dim>1280</dim>
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-			<data element_type="f16" shape="1, 1, 1280" offset="1315100882" size="2560" />
+		<layer id="2217" name="Constant_190334_compressed" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -42523,7 +37697,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2577" name="Constant_75125" type="Convert" version="opset1">
+		<layer id="2218" name="Constant_190334" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -42543,7 +37717,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2578" name="/up_blocks.1/attentions.1/transformer_blocks.0/norm3/Add_1" type="Add" version="opset1">
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 			<data auto_broadcast="numpy" />
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@@ -42558,15 +37732,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/norm3/Add_1_output_0">
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 					<dim>256</dim>
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 		</layer>
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-			<data element_type="f16" shape="10240, 1280" offset="1315103442" size="26214400" />
+		<layer id="2220" name="self.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1280" offset="1314988344" size="26214400" />
 			<output>
 				<port id="0" precision="FP16">
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@@ -42574,7 +37748,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2580" name="Constant_73684" type="Convert" version="opset1">
+		<layer id="2221" name="self.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -42586,13 +37760,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.weight">
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 			</output>
 		</layer>
-		<layer id="2581" name="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/proj/MatMul" type="MatMul" version="opset1">
+		<layer id="2222" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -42606,349 +37780,214 @@
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 					<dim>256</dim>
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+		<layer id="2223" name="Constant_190335_compressed" type="Const" version="opset1">
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+		<layer id="2229" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="2603" name="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="2230" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
+			</input>
 			<output>
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-					<dim>1</dim>
-				</port>
+				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="2604" name="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Mul_1" type="Multiply" version="opset1">
+		<layer id="2231" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="1" precision="I64">
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Mul_1_output_0">
+				<port id="2" precision="BOOL">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2605" name="ScatterUpdate_65650" type="ScatterUpdate" version="opset3">
+		<layer id="2232" name="Convert_195445" type="Convert" version="opset1">
+			<data destination_type="i32" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
+				<port id="0" precision="BOOL">
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64">
+			</input>
+			<output>
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+			</output>
+		</layer>
+		<layer id="2233" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
+				<port id="2" precision="I32">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2606" name="Constant_65653" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="12970950" size="24" />
+		<layer id="2234" name="Constant_113274" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2235" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2607" name="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2236" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>10240</dim>
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-				<port id="2" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>2</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Slice_1_output_0">
+				<port id="3" precision="FP32" names="2388,hidden_states.403">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="4" precision="FP32" names="2389,gate.17">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2608" name="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+		<layer id="2237" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42958,14 +37997,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+				<port id="1" precision="FP32" names="2390">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2609" name="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+		<layer id="2238" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42980,15 +38019,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+				<port id="2" precision="FP32" names="2391,input.365">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2610" name="Constant_73692_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 5120" offset="1341317842" size="13107200" />
+		<layer id="2239" name="self.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 5120" offset="1341223224" size="13107200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -42996,7 +38035,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2611" name="Constant_73692" type="Convert" version="opset1">
+		<layer id="2240" name="self.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -43008,13 +38047,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.2.weight">
 					<dim>1280</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2612" name="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+		<layer id="2241" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43028,36 +38067,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.2/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2613" name="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2242" name="Constant_190336_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="1354330424" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2243" name="Constant_190336" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2244" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.2/Add_output_0">
+				<port id="2" precision="FP32" names="2395,ff_output.17">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2614" name="/up_blocks.1/attentions.1/transformer_blocks.0/Add_2" type="Add" version="opset1">
+		<layer id="2245" name="__module.up_blocks.1.attentions.1.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43072,23 +38141,135 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/Add_2_output_0">
+				<port id="2" precision="FP32" names="2396,hidden_states.405">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2615" name="/up_blocks.1/attentions.1/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="214428690" size="32" />
+		<layer id="2246" name="Constant_194758" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2247" name="Constant_194759" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/Constant_1_output_0">
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2248" name="Gather_194760" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="2259,2296,2465,2502,827,864">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2616" name="/up_blocks.1/attentions.1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2249" name="ShapeOf_195347" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2250" name="Constant_196661" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="1186481448" size="16" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2251" name="Constant_196662" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2252" name="Gather_196663" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2253" name="__module.up_blocks.1.attentions.1/prim::ListConstruct/Reshape_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="214224144" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2254" name="__module.up_blocks.1.attentions.1/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="I64" names="2397">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2255" name="__module.up_blocks.1.attentions.1/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -43100,7 +38281,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="2398">
 					<dim>1</dim>
 					<dim>16</dim>
 					<dim>16</dim>
@@ -43108,15 +38289,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2617" name="Constant_11623" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="13790206" size="32" />
+		<layer id="2256" name="Constant_80859" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="13522496" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="2399">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2618" name="/up_blocks.1/attentions.1/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2257" name="__module.up_blocks.1.attentions.1/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -43129,7 +38310,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="2400">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -43137,8 +38318,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2619" name="up_blocks.1.attentions.1.proj_out.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280, 1, 1" offset="1354425042" size="3276800" />
+		<layer id="2258" name="self.up_blocks.1.attentions.1.proj_out.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280, 1, 1" offset="1354332984" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -43148,7 +38329,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2620" name="up_blocks.1.attentions.1.proj_out.weight" type="Convert" version="opset1">
+		<layer id="2259" name="self.up_blocks.1.attentions.1.proj_out.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -43162,7 +38343,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.1.attentions.1.proj_out.weight">
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@@ -43170,7 +38351,7 @@
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-		<layer id="2621" name="/up_blocks.1/attentions.1/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
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@@ -43195,8 +38376,8 @@
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-			<data element_type="f16" shape="1, 1280, 1, 1" offset="1357701842" size="2560" />
+		<layer id="2261" name="__module.up_blocks.1.attentions.1.proj_out/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="1357609784" size="2560" />
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 				<port id="0" precision="FP16">
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@@ -43206,7 +38387,7 @@
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-		<layer id="2623" name="Reshape_11645" type="Convert" version="opset1">
+		<layer id="2262" name="__module.up_blocks.1.attentions.1.proj_out/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -43228,7 +38409,7 @@
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 			</output>
 		</layer>
-		<layer id="2624" name="/up_blocks.1/attentions.1/proj_out/Conv" type="Add" version="opset1">
+		<layer id="2263" name="__module.up_blocks.1.attentions.1.proj_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -43245,7 +38426,7 @@
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 					<dim>1280</dim>
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@@ -43253,7 +38434,7 @@
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 			</output>
 		</layer>
-		<layer id="2625" name="/up_blocks.1/attentions.1/Add" type="Add" version="opset1">
+		<layer id="2264" name="__module.up_blocks.1.attentions.1/aten::add/Add" type="Add" version="opset1">
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 			<input>
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@@ -43270,7 +38451,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/Add_output_0">
+				<port id="2" precision="FP32" names="2409,hidden_states.411">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -43278,7 +38459,7 @@
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 			</output>
 		</layer>
-		<layer id="2626" name="/up_blocks.1/Concat_2" type="Concat" version="opset1">
+		<layer id="2265" name="__module.up_blocks.1/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43295,7 +38476,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/Concat_2_output_0">
+				<port id="2" precision="FP32" names="2411,input.369">
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 					<dim>1920</dim>
 					<dim>16</dim>
@@ -43303,8 +38484,8 @@
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 		</layer>
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-			<data element_type="f16" shape="1280, 1920, 1, 1" offset="1357704402" size="4915200" />
+		<layer id="2266" name="self.up_blocks.1.resnets.2.conv_shortcut.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1920, 1, 1" offset="1357612344" size="4915200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -43314,7 +38495,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2628" name="up_blocks.1.resnets.2.conv_shortcut.weight" type="Convert" version="opset1">
+		<layer id="2267" name="self.up_blocks.1.resnets.2.conv_shortcut.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -43328,7 +38509,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.1.resnets.2.conv_shortcut.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.1.resnets.2.conv_shortcut.weight">
 					<dim>1280</dim>
 					<dim>1920</dim>
 					<dim>1</dim>
@@ -43336,7 +38517,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2629" name="/up_blocks.1/resnets.2/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="2268" name="__module.up_blocks.1.resnets.2.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43361,8 +38542,8 @@
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 			</output>
 		</layer>
-		<layer id="2630" name="Reshape_12030_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="1362619602" size="2560" />
+		<layer id="2269" name="__module.up_blocks.1.resnets.2.conv_shortcut/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="1362527544" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -43372,7 +38553,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2631" name="Reshape_12030" type="Convert" version="opset1">
+		<layer id="2270" name="__module.up_blocks.1.resnets.2.conv_shortcut/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -43394,7 +38575,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2632" name="/up_blocks.1/resnets.2/conv_shortcut/Conv" type="Add" version="opset1">
+		<layer id="2271" name="__module.up_blocks.1.resnets.2.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43411,7 +38592,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.2/conv_shortcut/Conv_output_0">
+				<port id="2" precision="FP32" names="2457,input_tensor.15">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -43419,15 +38600,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2633" name="/up_blocks.1/resnets.2/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="2272" name="__module.up_blocks.1.resnets.2.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/resnets.2/norm1/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2634" name="/up_blocks.1/resnets.2/norm1/Reshape" type="Reshape" version="opset1">
+		<layer id="2273" name="__module.up_blocks.1.resnets.2.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43436,27 +38620,27 @@
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 					<dim>16</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.2/norm1/Reshape_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>15360</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2635" name="Constant_11684" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="2274" name="__module.up_blocks.1.resnets.2.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
-				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="2636" name="MVN_11685" type="MVN" version="opset6">
+		<layer id="2275" name="__module.up_blocks.1.resnets.2.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43464,20 +38648,20 @@
 					<dim>32</dim>
 					<dim>15360</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.2/norm1/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>15360</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2637" name="/up_blocks.1/resnets.2/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2276" name="__module.up_blocks.1.resnets.2.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -43487,12 +38671,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/up_blocks.1/resnets.2/norm1/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2638" name="/up_blocks.1/resnets.2/norm1/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2277" name="__module.up_blocks.1.resnets.2.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43500,12 +38684,12 @@
 					<dim>32</dim>
 					<dim>15360</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.2/norm1/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1920</dim>
 					<dim>16</dim>
@@ -43513,8 +38697,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2639" name="Constant_75128_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1920, 1, 1" offset="1362622162" size="3840" />
+		<layer id="2278" name="Constant_190337_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1920, 1, 1" offset="1362530104" size="3840" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -43524,7 +38708,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2640" name="Constant_75128" type="Convert" version="opset1">
+		<layer id="2279" name="Constant_190337" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -43546,7 +38730,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2641" name="/up_blocks.1/resnets.2/norm1/Mul" type="Multiply" version="opset1">
+		<layer id="2280" name="__module.up_blocks.1.resnets.2.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43563,7 +38747,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.2/norm1/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1920</dim>
 					<dim>16</dim>
@@ -43571,8 +38755,8 @@
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 			</output>
 		</layer>
-		<layer id="2642" name="Constant_75129_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1920, 1, 1" offset="1362626002" size="3840" />
+		<layer id="2281" name="Constant_190338_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1920, 1, 1" offset="1362533944" size="3840" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -43582,7 +38766,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2643" name="Constant_75129" type="Convert" version="opset1">
+		<layer id="2282" name="Constant_190338" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -43604,7 +38788,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2644" name="/up_blocks.1/resnets.2/norm1/Add" type="Add" version="opset1">
+		<layer id="2283" name="__module.up_blocks.1.resnets.2.norm1/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43621,7 +38805,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/resnets.2/norm1/Add_output_0">
+				<port id="2" precision="FP32" names="2421,input.371">
 					<dim>1</dim>
 					<dim>1920</dim>
 					<dim>16</dim>
@@ -43629,7 +38813,7 @@
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 			</output>
 		</layer>
-		<layer id="2645" name="/up_blocks.1/resnets.2/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="2284" name="__module.conv_act/aten::silu/Swish_46" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -43639,7 +38823,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.1/resnets.2/nonlinearity/Mul_output_0">
+				<port id="1" precision="FP32" names="2422,hidden_states.413">
 					<dim>1</dim>
 					<dim>1920</dim>
 					<dim>16</dim>
@@ -43647,8 +38831,8 @@
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 		</layer>
-		<layer id="2646" name="up_blocks.1.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1920, 3, 3" offset="1362629842" size="44236800" />
+		<layer id="2285" name="self.up_blocks.1.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1920, 3, 3" offset="1362537784" size="44236800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -43658,7 +38842,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2647" name="up_blocks.1.resnets.2.conv1.weight" type="Convert" version="opset1">
+		<layer id="2286" name="self.up_blocks.1.resnets.2.conv1.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -43672,7 +38856,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.1.resnets.2.conv1.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.1.resnets.2.conv1.weight">
 					<dim>1280</dim>
 					<dim>1920</dim>
 					<dim>3</dim>
@@ -43680,7 +38864,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2648" name="/up_blocks.1/resnets.2/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="2287" name="__module.up_blocks.1.resnets.2.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43705,8 +38889,314 @@
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-		<layer id="2649" name="Reshape_11809_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="1406866642" size="2560" />
+		<layer id="2288" name="__module.up_blocks.1.resnets.2.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="1406774584" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2289" name="__module.up_blocks.1.resnets.2.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2290" name="__module.up_blocks.1.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
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+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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@@ -43738,7 +39228,7 @@
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@@ -44097,7 +39264,7 @@
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@@ -44231,7 +39398,7 @@
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 			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -44371,12 +39541,12 @@
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@@ -44384,12 +39554,12 @@
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@@ -44397,8 +39567,8 @@
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@@ -44408,7 +39578,7 @@
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-		<layer id="2690" name="Constant_75133" type="Convert" version="opset1">
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@@ -44430,7 +39600,7 @@
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-		<layer id="2693" name="Constant_75134" type="Convert" version="opset1">
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@@ -44488,7 +39658,7 @@
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@@ -44582,7 +39752,7 @@
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@@ -44604,7 +39774,7 @@
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+				<port id="0" precision="I64" names="2481">
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 		</layer>
-		<layer id="2702" name="/up_blocks.1/attentions.2/Transpose" type="Transpose" version="opset1">
+		<layer id="2339" name="__module.up_blocks.1.attentions.2/aten::permute/Transpose" type="Transpose" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -44650,7 +39820,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/Transpose_output_0">
+				<port id="2" precision="FP32" names="2482">
 					<dim>1</dim>
 					<dim>16</dim>
 					<dim>16</dim>
@@ -44658,15 +39828,18 @@
 				</port>
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 		</layer>
-		<layer id="2703" name="/up_blocks.1/attentions.2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="151498600" size="24" />
+		<layer id="2340" name="Constant_196342" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="151265984" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/Constant_output_0">
+				<port id="0" precision="I64">
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 		</layer>
-		<layer id="2704" name="/up_blocks.1/attentions.2/Reshape" type="Reshape" version="opset1">
+		<layer id="2341" name="__module.up_blocks.1.attentions.2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -44680,22 +39853,22 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/Reshape_output_0">
+				<port id="2" precision="FP32" names="2486,hidden_states.427">
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 					<dim>256</dim>
 					<dim>1280</dim>
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 		</layer>
-		<layer id="2705" name="Constant_12230" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="2342" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
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+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="2706" name="/up_blocks.1/attentions.2/transformer_blocks.0/norm1/Div" type="MVN" version="opset6">
+		<layer id="2343" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -44703,20 +39876,20 @@
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/norm1/Div_output_0">
+				<port id="2" precision="FP32">
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 					<dim>256</dim>
 					<dim>1280</dim>
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-		<layer id="2707" name="Constant_75135_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1280" offset="1442931922" size="2560" />
+		<layer id="2344" name="Constant_190344_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="1442839864" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -44725,7 +39898,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2708" name="Constant_75135" type="Convert" version="opset1">
+		<layer id="2345" name="Constant_190344" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -44745,7 +39918,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2709" name="/up_blocks.1/attentions.2/transformer_blocks.0/norm1/Mul" type="Multiply" version="opset1">
+		<layer id="2346" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -44760,15 +39933,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/norm1/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
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 		</layer>
-		<layer id="2710" name="Constant_75136_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1280" offset="1442934482" size="2560" />
+		<layer id="2347" name="Constant_190345_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="1442842424" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -44777,7 +39950,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2711" name="Constant_75136" type="Convert" version="opset1">
+		<layer id="2348" name="Constant_190345" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -44797,7 +39970,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2712" name="/up_blocks.1/attentions.2/transformer_blocks.0/norm1/Add_1" type="Add" version="opset1">
+		<layer id="2349" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -44812,15 +39985,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/norm1/Add_1_output_0">
+				<port id="2" precision="FP32" names="2496,hidden_states.429">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2713" name="Constant_73702_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="1442937042" size="3276800" />
+		<layer id="2350" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_q.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="1442844984" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -44828,7 +40001,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2714" name="Constant_73702" type="Convert" version="opset1">
+		<layer id="2351" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_q.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -44840,13 +40013,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_q.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2715" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+		<layer id="2352" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -44860,22 +40033,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+				<port id="2" precision="FP32" names="2504,query.73">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2716" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154780544" size="32" />
+		<layer id="2353" name="Constant_196343" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2717" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
+		<layer id="2354" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -44888,7 +40064,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Reshape_output_0">
+				<port id="2" precision="FP32" names="2516">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>8</dim>
@@ -44896,15 +40072,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2718" name="Constant_12253" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2355" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="2719" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+		<layer id="2356" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -44912,50 +40088,21 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Transpose_output_0">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2720" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154780576" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_1_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2721" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="2517,query.75">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Reshape_1_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="2722" name="Constant_73709_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="1446213842" size="3276800" />
+		<layer id="2357" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="1446121784" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -44963,7 +40110,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2723" name="Constant_73709" type="Convert" version="opset1">
+		<layer id="2358" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -44975,13 +40122,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_k.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
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 			</output>
 		</layer>
-		<layer id="2724" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="2359" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -44995,22 +40142,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="2506,key.73">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2725" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154780544" size="32" />
+		<layer id="2360" name="Constant_196344" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2726" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+		<layer id="2361" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45023,7 +40173,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="2519">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>8</dim>
@@ -45031,15 +40181,15 @@
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 			</output>
 		</layer>
-		<layer id="2727" name="Constant_12269" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2362" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 				</port>
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 		</layer>
-		<layer id="2728" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2363" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -45047,12 +40197,12 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="2520,key.75">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
@@ -45060,128 +40210,8 @@
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 			</output>
 		</layer>
-		<layer id="2729" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154780576" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_3_output_0">
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-		</layer>
-		<layer id="2730" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
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-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
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-				<port id="1" precision="I64">
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-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Reshape_3_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
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-		</layer>
-		<layer id="2731" name="Constant_75137_compressed" type="Const" version="opset1">
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-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
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-					<dim>1</dim>
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-		<layer id="2733" name="Multiply_74263" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
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-					<dim>256</dim>
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-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
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-		<layer id="2734" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
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-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
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-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Mul_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>256</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2735" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>256</dim>
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-			<output>
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-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>256</dim>
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-			</output>
-		</layer>
-		<layer id="2736" name="Constant_73716_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="1449490642" size="3276800" />
+		<layer id="2364" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="1449398584" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -45189,7 +40219,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2737" name="Constant_73716" type="Convert" version="opset1">
+		<layer id="2365" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -45201,13 +40231,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_v.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2738" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="2366" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
@@ -45221,22 +40251,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="2508,value.73">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2739" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154780544" size="32" />
+		<layer id="2367" name="Constant_196345" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_4_output_0">
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="2740" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Reshape_4" type="Reshape" version="opset1">
+		<layer id="2368" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45249,7 +40282,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="2522">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>8</dim>
@@ -45257,15 +40290,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2741" name="Constant_12285" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2369" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="2742" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+		<layer id="2370" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -45273,12 +40306,12 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="2523,value.75">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
@@ -45286,16 +40319,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2743" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154780576" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_5_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2744" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2371" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -45303,62 +40328,21 @@
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
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-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2745" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>256</dim>
-				</port>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/MatMul_1_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2746" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="161334202" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_7_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2747" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Reshape_6_output_0">
+				<port id="3" precision="FP32" names="2524,hidden_states.431">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
@@ -45366,15 +40350,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2748" name="Constant_12308" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2372" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2749" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Transpose_4" type="Transpose" version="opset1">
+		<layer id="2373" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -45382,12 +40366,12 @@
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="2525">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>8</dim>
@@ -45395,15 +40379,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2750" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="151498600" size="24" />
+		<layer id="2374" name="Constant_196346" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="161101560" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_8_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2751" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Reshape_7" type="Reshape" version="opset1">
+		<layer id="2375" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45417,15 +40404,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Reshape_7_output_0">
+				<port id="2" precision="FP32" names="2529,2530,hidden_states.433,input.381">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2752" name="Constant_73723_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="1452767442" size="3276800" />
+		<layer id="2376" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="1452675384" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -45433,7 +40420,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2753" name="Constant_73723" type="Convert" version="opset1">
+		<layer id="2377" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -45445,13 +40432,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_out.0.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2754" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="2378" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45465,36 +40452,44 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2755" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
+		<layer id="2379" name="Constant_190346_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="1455952184" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="2380" name="Constant_190346" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2756" name="/up_blocks.1/attentions.2/transformer_blocks.0/Add" type="Add" version="opset1">
+		<layer id="2381" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45504,100 +40499,70 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>256</dim>
+					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/Add_output_0">
+				<port id="2" precision="FP32" names="2533,2535,attn_output.37,input.383">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2757" name="Constant_12320" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
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-		</layer>
-		<layer id="2758" name="/up_blocks.1/attentions.2/transformer_blocks.0/norm2/Div" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="2382" name="__module.up_blocks.1.attentions.2.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
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+					<dim>256</dim>
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-			<data element_type="f16" shape="1, 1, 1280" offset="1456044242" size="2560" />
+		<layer id="2383" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
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-			<output>
-				<port id="1" precision="FP32">
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+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="2761" name="/up_blocks.1/attentions.2/transformer_blocks.0/norm2/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2384" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
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-				<port id="1" precision="FP32">
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+				<port id="1" precision="I32">
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 			</input>
 			<output>
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 					<dim>256</dim>
 					<dim>1280</dim>
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-			<data element_type="f16" shape="1, 1, 1280" offset="1456046802" size="2560" />
+		<layer id="2385" name="Constant_190347_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="1455954744" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -45606,7 +40571,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2763" name="Constant_75140" type="Convert" version="opset1">
+		<layer id="2386" name="Constant_190347" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -45626,7 +40591,7 @@
 				</port>
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 		</layer>
-		<layer id="2764" name="/up_blocks.1/attentions.2/transformer_blocks.0/norm2/Add_1" type="Add" version="opset1">
+		<layer id="2387" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -45641,42 +40606,45 @@
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 			<output>
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 					<dim>256</dim>
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-			<data element_type="f16" shape="1280, 1280" offset="1456049362" size="3276800" />
+		<layer id="2388" name="Constant_190348_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="1455957304" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 		</layer>
-		<layer id="2766" name="Constant_73731" type="Convert" version="opset1">
+		<layer id="2389" name="Constant_190348" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 		</layer>
-		<layer id="2767" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
+		<layer id="2390" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -45684,107 +40652,119 @@
 					<dim>1280</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+				<port id="2" precision="FP32" names="2540,input.387">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="154780544" size="32" />
+		<layer id="2391" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_q.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="1455959864" size="3276800" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_output_0">
-					<dim>4</dim>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2769" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2392" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_q.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_q.weight">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2393" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Reshape_output_0">
+				<port id="2" precision="FP32" names="2548,query.77">
 					<dim>1</dim>
 					<dim>256</dim>
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-					<dim>160</dim>
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-		</layer>
-		<layer id="2770" name="Constant_12343" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2771" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+		<layer id="2394" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
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+					<dim>1280</dim>
 				</port>
 				<port id="1" precision="I64">
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2560">
 					<dim>1</dim>
-					<dim>8</dim>
 					<dim>256</dim>
+					<dim>8</dim>
 					<dim>160</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2772" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154780576" size="24" />
+		<layer id="2395" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_1_output_0">
-					<dim>3</dim>
+				<port id="0" precision="I32">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2773" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2396" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>8</dim>
 					<dim>256</dim>
+					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="2561,query.79">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2774" name="Constant_73738_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 768" offset="1459326162" size="1966080" />
+		<layer id="2397" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 768" offset="1459236664" size="1966080" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -45792,7 +40772,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2775" name="Constant_73738" type="Convert" version="opset1">
+		<layer id="2398" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -45804,13 +40784,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_k.weight">
 					<dim>1280</dim>
 					<dim>768</dim>
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 			</output>
 		</layer>
-		<layer id="2776" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="2399" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45824,22 +40804,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="2550,key.77">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2777" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="169859034" size="32" />
+		<layer id="2400" name="Constant_196347" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2778" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+		<layer id="2401" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45852,7 +40835,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="2563">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -45860,15 +40843,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2779" name="Constant_12359" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2402" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2780" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2403" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -45876,141 +40859,21 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			<output>
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-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
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-		</layer>
-		<layer id="2781" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="169859066" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_3_output_0">
-					<dim>3</dim>
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-		</layer>
-		<layer id="2782" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
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-				<port id="0" precision="FP32">
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-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
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-				<port id="1" precision="I64">
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-					<dim>77</dim>
-					<dim>160</dim>
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-		<layer id="2783" name="Constant_75141_compressed" type="Const" version="opset1">
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-		<layer id="2784" name="Constant_75141" type="Convert" version="opset1">
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-			<rt_info>
-				<attribute name="decompression" version="0" />
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-					<dim>1</dim>
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-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2564,key.79">
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-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>160</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2786" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Mul_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2787" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>77</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Softmax_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2788" name="Constant_73745_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 768" offset="1461292242" size="1966080" />
+		<layer id="2404" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 768" offset="1461202744" size="1966080" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -46018,7 +40881,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2789" name="Constant_73745" type="Convert" version="opset1">
+		<layer id="2405" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -46030,13 +40893,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_v.weight">
 					<dim>1280</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2790" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="2406" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
@@ -46050,22 +40913,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="2552,value.77">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2791" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="169859034" size="32" />
+		<layer id="2407" name="Constant_196348" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154547928" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2792" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Reshape_4" type="Reshape" version="opset1">
+		<layer id="2408" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46078,7 +40944,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="2566">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -46086,15 +40952,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2793" name="Constant_12375" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2409" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2794" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+		<layer id="2410" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -46102,12 +40968,12 @@
 					<dim>8</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="2567,value.79">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
@@ -46115,79 +40981,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2795" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="169859066" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_5_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2796" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2411" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Reshape_5_output_0">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2797" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
 					<dim>8</dim>
 					<dim>256</dim>
-					<dim>77</dim>
+					<dim>160</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>160</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/MatMul_1_output_0">
-					<dim>8</dim>
-					<dim>256</dim>
-					<dim>160</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2798" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="161334202" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_7_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2799" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
-					<dim>256</dim>
+					<dim>77</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Reshape_6_output_0">
+				<port id="3" precision="FP32" names="2568,hidden_states.437">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>256</dim>
@@ -46195,15 +41012,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2800" name="Constant_12398" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2412" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2801" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Transpose_4" type="Transpose" version="opset1">
+		<layer id="2413" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -46211,12 +41028,12 @@
 					<dim>256</dim>
 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="2569">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>8</dim>
@@ -46224,15 +41041,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2802" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="151498600" size="24" />
+		<layer id="2414" name="Constant_196349" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="161101560" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_8_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2803" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Reshape_7" type="Reshape" version="opset1">
+		<layer id="2415" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46246,15 +41066,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Reshape_7_output_0">
+				<port id="2" precision="FP32" names="2573,2574,hidden_states.439,input.389">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2804" name="Constant_73752_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280" offset="1463258322" size="3276800" />
+		<layer id="2416" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="1463168824" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -46262,7 +41082,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2805" name="Constant_73752" type="Convert" version="opset1">
+		<layer id="2417" name="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -46274,13 +41094,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_out.0.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2806" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="2418" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46294,36 +41114,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2807" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2419" name="Constant_190349_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="1466445624" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2420" name="Constant_190349" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2421" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+				<port id="2" precision="FP32" names="2577,2579,attn_output.39,input.391">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2808" name="/up_blocks.1/attentions.2/transformer_blocks.0/Add_1" type="Add" version="opset1">
+		<layer id="2422" name="__module.up_blocks.1.attentions.2.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46338,22 +41188,22 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/Add_1_output_0">
+				<port id="2" precision="FP32" names="2580,input.393">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2809" name="Constant_12410" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="2423" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2810" name="/up_blocks.1/attentions.2/transformer_blocks.0/norm3/Div" type="MVN" version="opset6">
+		<layer id="2424" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46361,20 +41211,20 @@
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/norm3/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2811" name="Constant_75143_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1280" offset="1466535122" size="2560" />
+		<layer id="2425" name="Constant_190350_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="1466448184" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -46383,7 +41233,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2812" name="Constant_75143" type="Convert" version="opset1">
+		<layer id="2426" name="Constant_190350" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -46403,7 +41253,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2813" name="/up_blocks.1/attentions.2/transformer_blocks.0/norm3/Mul" type="Multiply" version="opset1">
+		<layer id="2427" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46418,15 +41268,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/norm3/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2814" name="Constant_75144_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1280" offset="1466537682" size="2560" />
+		<layer id="2428" name="Constant_190351_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="1466450744" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -46435,7 +41285,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2815" name="Constant_75144" type="Convert" version="opset1">
+		<layer id="2429" name="Constant_190351" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -46455,7 +41305,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2816" name="/up_blocks.1/attentions.2/transformer_blocks.0/norm3/Add_1" type="Add" version="opset1">
+		<layer id="2430" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46470,15 +41320,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/norm3/Add_1_output_0">
+				<port id="2" precision="FP32" names="2584,input.395">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2817" name="Constant_73760_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1280" offset="1466540242" size="26214400" />
+		<layer id="2431" name="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0.proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1280" offset="1466453304" size="26214400" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -46486,7 +41336,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2818" name="Constant_73760" type="Convert" version="opset1">
+		<layer id="2432" name="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0.proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -46498,13 +41348,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0.proj.weight">
 					<dim>10240</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2819" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/proj/MatMul" type="MatMul" version="opset1">
+		<layer id="2433" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46518,61 +41368,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/proj/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2820" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/proj/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
+		<layer id="2434" name="Constant_190352_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 10240" offset="1492667704" size="20480" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="2435" name="Constant_190352" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>256</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/proj/Add_output_0">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>256</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2821" name="Constant_65779" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="12970914" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+		<layer id="2436" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="2822" name="Constant_65780" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="12970914" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>10240</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="2823" name="Constant_65776" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="2" precision="FP32" names="2592">
 					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2824" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2437" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -46581,286 +41437,145 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2825" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="2438" name="Constant_113287" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="12702620" size="4" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2826" name="Constant_12427" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="12970938" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="2827" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Gather" type="Gather" version="opset8">
+		<layer id="2439" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Gather_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2828" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2143392" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Constant_2_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2829" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Add_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2830" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Constant_3_output_0">
-					<dim>1</dim>
-				</port>
+				<port id="3" precision="I32" />
 			</output>
 		</layer>
-		<layer id="2831" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Div" type="Divide" version="opset1">
+		<layer id="2440" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Div_output_0,/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Mul_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2832" name="Constant_65775" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="12970946" size="4" />
-			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
+				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="2833" name="ScatterUpdate_65781" type="ScatterUpdate" version="opset3">
+		<layer id="2441" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="2834" name="Constant_65784" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2442" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32">
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-					<dim>10240</dim>
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-				<port id="2" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="3" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Slice_output_0">
+				<port id="2" precision="BOOL">
 					<dim>1</dim>
-					<dim>256</dim>
-					<dim>5120</dim>
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-		<layer id="2836" name="Constant_65848" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-			<data element_type="i64" shape="1" offset="298264" size="8" />
-			<output>
-				<port id="0" precision="I64">
+		<layer id="2443" name="Convert_195559" type="Convert" version="opset1">
+			<data destination_type="i32" />
+			<input>
+				<port id="0" precision="BOOL">
 					<dim>1</dim>
 				</port>
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-		</layer>
-		<layer id="2838" name="Constant_65846" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="12970946" size="4" />
+			</input>
 			<output>
-				<port id="0" precision="I32">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2839" name="ScatterUpdate_65849" type="ScatterUpdate" version="opset3">
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-				<port id="2" precision="I64">
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-				</port>
-				<port id="3" precision="I32">
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32">
 					<dim>1</dim>
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 			<output>
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-		<layer id="2840" name="Constant_65850" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Constant_5_output_0">
+				<port id="2" precision="I32">
 					<dim>1</dim>
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-				<port id="1" precision="I64">
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+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
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 				</port>
 			</output>
 		</layer>
-		<layer id="2843" name="ScatterUpdate_65851" type="ScatterUpdate" version="opset3">
+		<layer id="2446" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
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-				</port>
-				<port id="1" precision="I64">
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-				</port>
-				<port id="2" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
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-				<port id="3" precision="I32">
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 			<output>
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-		<layer id="2844" name="Constant_65854" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="2" precision="I32">
+					<dim>2</dim>
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 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2447" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
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 					<dim>256</dim>
 					<dim>10240</dim>
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-					<dim>3</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
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 			<output>
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+				<port id="3" precision="FP32" names="2594,hidden_states.443">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
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+				<port id="4" precision="FP32" names="2595,gate.19">
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 					<dim>256</dim>
 					<dim>5120</dim>
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 		</layer>
-		<layer id="2846" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+		<layer id="2448" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
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@@ -46870,14 +41585,14 @@
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 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+				<port id="1" precision="FP32" names="2596">
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 					<dim>256</dim>
 					<dim>5120</dim>
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 		</layer>
-		<layer id="2847" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+		<layer id="2449" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -46892,15 +41607,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+				<port id="2" precision="FP32" names="2597,input.397">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>5120</dim>
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 		</layer>
-		<layer id="2848" name="Constant_73768_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 5120" offset="1492754642" size="13107200" />
+		<layer id="2450" name="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 5120" offset="1492688184" size="13107200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -46908,7 +41623,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2849" name="Constant_73768" type="Convert" version="opset1">
+		<layer id="2451" name="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -46920,13 +41635,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.2.weight">
 					<dim>1280</dim>
 					<dim>5120</dim>
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 		</layer>
-		<layer id="2850" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+		<layer id="2452" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
@@ -46940,36 +41655,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.2/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="2453" name="Constant_190353_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="1505795384" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2454" name="Constant_190353" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1280</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2455" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.2/Add_output_0">
+				<port id="2" precision="FP32" names="2601,ff_output.19">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2852" name="/up_blocks.1/attentions.2/transformer_blocks.0/Add_2" type="Add" version="opset1">
+		<layer id="2456" name="__module.up_blocks.1.attentions.2.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46984,23 +41729,98 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/Add_2_output_0">
+				<port id="2" precision="FP32" names="2602,hidden_states.445">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1280</dim>
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 		</layer>
-		<layer id="2853" name="/up_blocks.1/attentions.2/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="214428690" size="32" />
+		<layer id="2457" name="ShapeOf_195461" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/Constant_1_output_0">
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2854" name="/up_blocks.1/attentions.2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2458" name="Constant_196666" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="1186481448" size="16" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2459" name="Constant_196667" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2460" name="Gather_196668" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2461" name="__module.up_blocks.1.attentions.2/prim::ListConstruct/Reshape_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="214224144" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2462" name="__module.up_blocks.1.attentions.2/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="I64" names="2603">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2463" name="__module.up_blocks.1.attentions.2/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -47012,7 +41832,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="2604">
 					<dim>1</dim>
 					<dim>16</dim>
 					<dim>16</dim>
@@ -47020,15 +41840,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2855" name="Constant_12592" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="13790206" size="32" />
+		<layer id="2464" name="Constant_82119" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="13522496" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="2605">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2856" name="/up_blocks.1/attentions.2/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2465" name="__module.up_blocks.1.attentions.2/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -47041,7 +41861,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="2606">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -47049,8 +41869,8 @@
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 			</output>
 		</layer>
-		<layer id="2857" name="up_blocks.1.attentions.2.proj_out.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280, 1, 1" offset="1505861842" size="3276800" />
+		<layer id="2466" name="self.up_blocks.1.attentions.2.proj_out.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280, 1, 1" offset="1505797944" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -47060,7 +41880,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2858" name="up_blocks.1.attentions.2.proj_out.weight" type="Convert" version="opset1">
+		<layer id="2467" name="self.up_blocks.1.attentions.2.proj_out.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -47074,7 +41894,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.1.attentions.2.proj_out.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.1.attentions.2.proj_out.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -47082,7 +41902,7 @@
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 			</output>
 		</layer>
-		<layer id="2859" name="/up_blocks.1/attentions.2/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="2468" name="__module.up_blocks.1.attentions.2.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47107,8 +41927,8 @@
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 			</output>
 		</layer>
-		<layer id="2860" name="Reshape_12614_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="1509138642" size="2560" />
+		<layer id="2469" name="__module.up_blocks.1.attentions.2.proj_out/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="1509074744" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -47118,7 +41938,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2861" name="Reshape_12614" type="Convert" version="opset1">
+		<layer id="2470" name="__module.up_blocks.1.attentions.2.proj_out/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -47140,7 +41960,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2862" name="/up_blocks.1/attentions.2/proj_out/Conv" type="Add" version="opset1">
+		<layer id="2471" name="__module.up_blocks.1.attentions.2.proj_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47157,7 +41977,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/proj_out/Conv_output_0">
+				<port id="2" precision="FP32" names="2614,hidden_states.449">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -47165,7 +41985,7 @@
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 			</output>
 		</layer>
-		<layer id="2863" name="/up_blocks.1/attentions.2/Add" type="Add" version="opset1">
+		<layer id="2472" name="__module.up_blocks.1.attentions.2/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47182,7 +42002,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/Add_output_0">
+				<port id="2" precision="FP32" names="2615,hidden_states.451">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>16</dim>
@@ -47190,73 +42010,26 @@
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-		<layer id="2865" name="Convert_12646" type="Convert" version="opset1">
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-			<data element_type="f32" shape="4" offset="992563906" size="16" />
+		<layer id="2473" name="__module.up_blocks.1.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
+			<data element_type="f32" shape="2" offset="992415512" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="FP32" names="/up_blocks.1/upsamplers.0/Constant_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2867" name="Multiply_12647" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
 				<port id="0" precision="FP32">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>4</dim>
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2868" name="Convert_12648" type="Convert" version="opset1">
-			<data destination_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>4</dim>
-				</port>
-			</input>
+		<layer id="2474" name="Constant_82176" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="992415520" size="8" />
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="I32">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2869" name="/up_blocks.1/upsamplers.0/Resize" type="Interpolate" version="opset4">
+		<layer id="2475" name="__module.up_blocks.1.upsamplers.0/aten::upsample_nearest2d/Interpolate" type="Interpolate" version="opset11">
 			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47265,15 +42038,15 @@
 					<dim>16</dim>
 					<dim>16</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>2</dim>
 				</port>
-				<port id="2" precision="FP32">
-					<dim>4</dim>
+				<port id="2" precision="I32">
+					<dim>2</dim>
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="/up_blocks.1/upsamplers.0/Resize_output_0">
+				<port id="3" precision="FP32" names="2618,hidden_states.453">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>32</dim>
@@ -47281,8 +42054,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2870" name="up_blocks.1.upsamplers.0.conv.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 1280, 3, 3" offset="1509141202" size="29491200" />
+		<layer id="2476" name="self.up_blocks.1.upsamplers.0.conv.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280, 3, 3" offset="1509077304" size="29491200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1280</dim>
@@ -47292,7 +42065,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2871" name="up_blocks.1.upsamplers.0.conv.weight" type="Convert" version="opset1">
+		<layer id="2477" name="self.up_blocks.1.upsamplers.0.conv.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -47306,7 +42079,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.1.upsamplers.0.conv.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.1.upsamplers.0.conv.weight">
 					<dim>1280</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -47314,7 +42087,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2872" name="/up_blocks.1/upsamplers.0/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="2478" name="__module.up_blocks.1.upsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47339,8 +42112,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2873" name="Reshape_12670_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="1538632402" size="2560" />
+		<layer id="2479" name="__module.up_blocks.1.upsamplers.0.conv/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="1538568504" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -47350,7 +42123,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2874" name="Reshape_12670" type="Convert" version="opset1">
+		<layer id="2480" name="__module.up_blocks.1.upsamplers.0.conv/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -47372,7 +42145,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2875" name="/up_blocks.1/upsamplers.0/conv/Conv" type="Add" version="opset1">
+		<layer id="2481" name="__module.up_blocks.1.upsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47389,7 +42162,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.1/upsamplers.0/conv/Conv_output_0">
+				<port id="2" precision="FP32" names="2625,hidden_states.455">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>32</dim>
@@ -47397,7 +42170,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2876" name="/up_blocks.2/Concat" type="Concat" version="opset1">
+		<layer id="2482" name="__module.up_blocks.2/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47414,7 +42187,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/Concat_output_0">
+				<port id="2" precision="FP32" names="2661,input.401">
 					<dim>1</dim>
 					<dim>1920</dim>
 					<dim>32</dim>
@@ -47422,8 +42195,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2877" name="up_blocks.2.resnets.0.conv_shortcut.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1920, 1, 1" offset="1538634962" size="2457600" />
+		<layer id="2483" name="self.up_blocks.2.resnets.0.conv_shortcut.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1920, 1, 1" offset="1538571064" size="2457600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -47433,7 +42206,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2878" name="up_blocks.2.resnets.0.conv_shortcut.weight" type="Convert" version="opset1">
+		<layer id="2484" name="self.up_blocks.2.resnets.0.conv_shortcut.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -47447,7 +42220,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.2.resnets.0.conv_shortcut.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.2.resnets.0.conv_shortcut.weight">
 					<dim>640</dim>
 					<dim>1920</dim>
 					<dim>1</dim>
@@ -47455,7 +42228,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2879" name="/up_blocks.2/resnets.0/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="2485" name="__module.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47480,8 +42253,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2880" name="Reshape_13054_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 640, 1, 1" offset="1541092562" size="1280" />
+		<layer id="2486" name="__module.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="1541028664" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -47491,7 +42264,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2881" name="Reshape_13054" type="Convert" version="opset1">
+		<layer id="2487" name="__module.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -47513,7 +42286,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2882" name="/up_blocks.2/resnets.0/conv_shortcut/Conv" type="Add" version="opset1">
+		<layer id="2488" name="__module.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47530,7 +42303,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/conv_shortcut/Conv_output_0">
+				<port id="2" precision="FP32" names="2707,input_tensor.17">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -47538,15 +42311,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2883" name="/up_blocks.2/resnets.0/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="2489" name="__module.up_blocks.2.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/resnets.0/norm1/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2884" name="/up_blocks.2/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+		<layer id="2490" name="__module.up_blocks.2.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47555,27 +42331,27 @@
 					<dim>32</dim>
 					<dim>32</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/norm1/Reshape_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>61440</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2885" name="Constant_12708" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="2491" name="__module.up_blocks.2.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2886" name="MVN_12709" type="MVN" version="opset6">
+		<layer id="2492" name="__module.up_blocks.2.resnets.0.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47583,20 +42359,20 @@
 					<dim>32</dim>
 					<dim>61440</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/norm1/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>61440</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2887" name="/up_blocks.2/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2493" name="__module.up_blocks.2.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -47606,12 +42382,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/up_blocks.2/resnets.0/norm1/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2888" name="/up_blocks.2/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2494" name="__module.up_blocks.2.resnets.0.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47619,12 +42395,12 @@
 					<dim>32</dim>
 					<dim>61440</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/norm1/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1920</dim>
 					<dim>32</dim>
@@ -47632,8 +42408,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2889" name="Constant_75147_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1920, 1, 1" offset="1541093842" size="3840" />
+		<layer id="2495" name="Constant_190354_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1920, 1, 1" offset="1541029944" size="3840" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -47643,7 +42419,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2890" name="Constant_75147" type="Convert" version="opset1">
+		<layer id="2496" name="Constant_190354" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -47665,7 +42441,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2891" name="/up_blocks.2/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+		<layer id="2497" name="__module.up_blocks.2.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47682,7 +42458,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/norm1/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1920</dim>
 					<dim>32</dim>
@@ -47690,8 +42466,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2892" name="Constant_75148_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1920, 1, 1" offset="1541097682" size="3840" />
+		<layer id="2498" name="Constant_190355_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1920, 1, 1" offset="1541033784" size="3840" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -47701,7 +42477,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2893" name="Constant_75148" type="Convert" version="opset1">
+		<layer id="2499" name="Constant_190355" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -47723,7 +42499,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2894" name="/up_blocks.2/resnets.0/norm1/Add" type="Add" version="opset1">
+		<layer id="2500" name="__module.up_blocks.2.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47740,7 +42516,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/norm1/Add_output_0">
+				<port id="2" precision="FP32" names="2671,input.403">
 					<dim>1</dim>
 					<dim>1920</dim>
 					<dim>32</dim>
@@ -47748,7 +42524,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2895" name="/up_blocks.2/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="2501" name="__module.conv_act/aten::silu/Swish_49" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -47758,7 +42534,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.2/resnets.0/nonlinearity/Mul_output_0">
+				<port id="1" precision="FP32" names="2672,hidden_states.457">
 					<dim>1</dim>
 					<dim>1920</dim>
 					<dim>32</dim>
@@ -47766,8 +42542,8 @@
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 			</output>
 		</layer>
-		<layer id="2896" name="up_blocks.2.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1920, 3, 3" offset="1541101522" size="22118400" />
+		<layer id="2502" name="self.up_blocks.2.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1920, 3, 3" offset="1541037624" size="22118400" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -47777,7 +42553,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2897" name="up_blocks.2.resnets.0.conv1.weight" type="Convert" version="opset1">
+		<layer id="2503" name="self.up_blocks.2.resnets.0.conv1.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -47791,7 +42567,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.2.resnets.0.conv1.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.2.resnets.0.conv1.weight">
 					<dim>640</dim>
 					<dim>1920</dim>
 					<dim>3</dim>
@@ -47799,7 +42575,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2898" name="/up_blocks.2/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="2504" name="__module.up_blocks.2.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47824,8 +42600,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2899" name="Reshape_12833_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 640, 1, 1" offset="1563219922" size="1280" />
+		<layer id="2505" name="__module.up_blocks.2.resnets.0.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="1563156024" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -47835,7 +42611,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2900" name="Reshape_12833" type="Convert" version="opset1">
+		<layer id="2506" name="__module.up_blocks.2.resnets.0.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -47857,7 +42633,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2901" name="/up_blocks.2/resnets.0/conv1/Conv" type="Add" version="opset1">
+		<layer id="2507" name="__module.up_blocks.2.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47874,7 +42650,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/conv1/Conv_output_0">
+				<port id="2" precision="FP32" names="2679,hidden_states.459">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -47882,8 +42658,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2902" name="up_blocks.2.resnets.0.time_emb_proj.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1280" offset="1563221202" size="1638400" />
+		<layer id="2508" name="self.up_blocks.2.resnets.0.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1280" offset="1563157304" size="1638400" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -47891,7 +42667,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2903" name="up_blocks.2.resnets.0.time_emb_proj.weight" type="Convert" version="opset1">
+		<layer id="2509" name="self.up_blocks.2.resnets.0.time_emb_proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -47903,13 +42679,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.2.resnets.0.time_emb_proj.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.2.resnets.0.time_emb_proj.weight">
 					<dim>640</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2904" name="/up_blocks.2/resnets.0/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+		<layer id="2510" name="__module.up_blocks.2.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47928,8 +42704,8 @@
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 			</output>
 		</layer>
-		<layer id="2905" name="Constant_75149_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 640" offset="1564859602" size="1280" />
+		<layer id="2511" name="Constant_190356_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640" offset="1564795704" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -47937,7 +42713,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2906" name="Constant_75149" type="Convert" version="opset1">
+		<layer id="2512" name="Constant_190356" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -47955,7 +42731,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2907" name="/up_blocks.2/resnets.0/time_emb_proj/Gemm" type="Add" version="opset1">
+		<layer id="2513" name="__module.up_blocks.2.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47968,59 +42744,51 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/time_emb_proj/Gemm_output_0">
+				<port id="2" precision="FP32" names="2683,2684,2685">
 					<dim>1</dim>
 					<dim>640</dim>
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 			</output>
 		</layer>
-		<layer id="2908" name="/up_blocks.2/resnets.0/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="2514" name="2641" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="6790128" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/resnets.0/Constant_output_0">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I64" names="2641" />
 			</output>
 		</layer>
-		<layer id="2909" name="/up_blocks.2/resnets.0/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="2515" name="__module.up_blocks.2.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>640</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
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+				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/Unsqueeze_output_0">
+				<port id="2" precision="FP32" names="2686">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>1</dim>
 				</port>
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 		</layer>
-		<layer id="2910" name="/up_blocks.2/resnets.0/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="7064744" size="8" />
+		<layer id="2516" name="2642" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="6790136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/resnets.0/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I64" names="2642" />
 			</output>
 		</layer>
-		<layer id="2911" name="/up_blocks.2/resnets.0/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="2517" name="__module.up_blocks.2.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/Unsqueeze_1_output_0">
+				<port id="2" precision="FP32" names="2687,temb.33">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -48028,7 +42796,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2912" name="/up_blocks.2/resnets.0/Add" type="Add" version="opset1">
+		<layer id="2518" name="__module.up_blocks.2.resnets.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48045,7 +42813,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/Add_output_0">
+				<port id="2" precision="FP32" names="2688,input.407">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -48053,15 +42821,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2913" name="/up_blocks.2/resnets.0/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="2519" name="__module.up_blocks.2.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/resnets.0/norm2/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2914" name="/up_blocks.2/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+		<layer id="2520" name="__module.up_blocks.2.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48070,27 +42841,27 @@
 					<dim>32</dim>
 					<dim>32</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/norm2/Reshape_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>20480</dim>
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 			</output>
 		</layer>
-		<layer id="2915" name="Constant_12881" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="2521" name="__module.up_blocks.2.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
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 				</port>
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 		</layer>
-		<layer id="2916" name="MVN_12882" type="MVN" version="opset6">
+		<layer id="2522" name="__module.up_blocks.2.resnets.0.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48098,20 +42869,20 @@
 					<dim>32</dim>
 					<dim>20480</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/norm2/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>20480</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2917" name="/up_blocks.2/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2523" name="__module.up_blocks.2.resnets.0.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -48121,12 +42892,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/up_blocks.2/resnets.0/norm2/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2918" name="/up_blocks.2/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2524" name="__module.up_blocks.2.resnets.0.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48134,12 +42905,12 @@
 					<dim>32</dim>
 					<dim>20480</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/norm2/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -48147,8 +42918,8 @@
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 			</output>
 		</layer>
-		<layer id="2919" name="Constant_75150_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 640, 1, 1" offset="1564860882" size="1280" />
+		<layer id="2525" name="Constant_190357_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="1564796984" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -48158,7 +42929,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2920" name="Constant_75150" type="Convert" version="opset1">
+		<layer id="2526" name="Constant_190357" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -48180,7 +42951,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2921" name="/up_blocks.2/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+		<layer id="2527" name="__module.up_blocks.2.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48197,7 +42968,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/norm2/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -48205,8 +42976,8 @@
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 			</output>
 		</layer>
-		<layer id="2922" name="Constant_75151_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 640, 1, 1" offset="1564862162" size="1280" />
+		<layer id="2528" name="Constant_190358_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="1564798264" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -48216,7 +42987,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2923" name="Constant_75151" type="Convert" version="opset1">
+		<layer id="2529" name="Constant_190358" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -48238,7 +43009,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2924" name="/up_blocks.2/resnets.0/norm2/Add" type="Add" version="opset1">
+		<layer id="2530" name="__module.up_blocks.2.resnets.0.norm2/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48255,7 +43026,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/norm2/Add_output_0">
+				<port id="2" precision="FP32" names="2691,input.409">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -48263,7 +43034,7 @@
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 			</output>
 		</layer>
-		<layer id="2925" name="/up_blocks.2/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="2531" name="__module.conv_act/aten::silu/Swish_51" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -48273,7 +43044,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.2/resnets.0/nonlinearity_1/Mul_output_0">
+				<port id="1" precision="FP32" names="2692,input.411">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -48281,8 +43052,8 @@
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 			</output>
 		</layer>
-		<layer id="2926" name="up_blocks.2.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640, 3, 3" offset="1564863442" size="7372800" />
+		<layer id="2532" name="self.up_blocks.2.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640, 3, 3" offset="1564799544" size="7372800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -48292,7 +43063,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2927" name="up_blocks.2.resnets.0.conv2.weight" type="Convert" version="opset1">
+		<layer id="2533" name="self.up_blocks.2.resnets.0.conv2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -48306,7 +43077,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.2.resnets.0.conv2.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.2.resnets.0.conv2.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
@@ -48314,7 +43085,7 @@
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 			</output>
 		</layer>
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@@ -48339,8 +43110,8 @@
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-			<data element_type="f16" shape="1, 640, 1, 1" offset="1572236242" size="1280" />
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@@ -48350,7 +43121,7 @@
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-		<layer id="2930" name="Reshape_13006" type="Convert" version="opset1">
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@@ -48372,7 +43143,7 @@
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@@ -48389,7 +43160,7 @@
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+				<port id="2" precision="FP32" names="2700,hidden_states.463">
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 					<dim>640</dim>
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@@ -48397,7 +43168,7 @@
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 					<dim>640</dim>
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@@ -48422,15 +43193,18 @@
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+			<data element_type="i32" shape="3" offset="23680" size="12" />
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@@ -48439,27 +43213,27 @@
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-		<layer id="2935" name="Constant_13094" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
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-		<layer id="2936" name="MVN_13095" type="MVN" version="opset6">
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 			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -48467,20 +43241,20 @@
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 					<dim>20480</dim>
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 					<dim>32</dim>
 					<dim>20480</dim>
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-		<layer id="2937" name="/up_blocks.2/attentions.0/norm/Shape" type="ShapeOf" version="opset3">
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+		<layer id="2543" name="__module.up_blocks.2.attentions.0.norm/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
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@@ -48490,12 +43264,12 @@
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-		<layer id="2938" name="/up_blocks.2/attentions.0/norm/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2544" name="__module.up_blocks.2.attentions.0.norm/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
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@@ -48503,12 +43277,12 @@
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 					<dim>20480</dim>
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-				<port id="1" precision="I64">
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 					<dim>640</dim>
 					<dim>32</dim>
@@ -48516,8 +43290,8 @@
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-			<data element_type="f16" shape="1, 640, 1, 1" offset="1572237522" size="1280" />
+		<layer id="2545" name="Constant_190359_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
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@@ -48527,7 +43301,7 @@
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 			</output>
 		</layer>
-		<layer id="2940" name="Constant_75152" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -48549,7 +43323,7 @@
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 			</output>
 		</layer>
-		<layer id="2941" name="/up_blocks.2/attentions.0/norm/Mul" type="Multiply" version="opset1">
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 			<input>
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@@ -48566,7 +43340,7 @@
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 			<output>
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+				<port id="2" precision="FP32">
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 					<dim>640</dim>
 					<dim>32</dim>
@@ -48574,8 +43348,8 @@
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-		<layer id="2942" name="Constant_75153_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 640, 1, 1" offset="1572238802" size="1280" />
+		<layer id="2548" name="Constant_190360_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
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@@ -48585,7 +43359,7 @@
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 			</output>
 		</layer>
-		<layer id="2943" name="Constant_75153" type="Convert" version="opset1">
+		<layer id="2549" name="Constant_190360" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -48607,7 +43381,7 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="2550" name="__module.up_blocks.2.attentions.0.norm/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -48624,7 +43398,7 @@
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-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/norm/Add_output_0">
+				<port id="2" precision="FP32" names="2722,hidden_states.467">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -48632,8 +43406,8 @@
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-			<data element_type="f16" shape="640, 640, 1, 1" offset="1572240082" size="819200" />
+		<layer id="2551" name="self.up_blocks.2.attentions.0.proj_in.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640, 1, 1" offset="1572176184" size="819200" />
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 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -48643,7 +43417,7 @@
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 		</layer>
-		<layer id="2946" name="up_blocks.2.attentions.0.proj_in.weight" type="Convert" version="opset1">
+		<layer id="2552" name="self.up_blocks.2.attentions.0.proj_in.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -48657,7 +43431,7 @@
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 					<dim>640</dim>
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@@ -48665,7 +43439,7 @@
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 		</layer>
-		<layer id="2947" name="/up_blocks.2/attentions.0/proj_in/Conv/WithoutBiases" type="Convolution" version="opset1">
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 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
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@@ -48690,8 +43464,8 @@
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-		<layer id="2948" name="Reshape_13217_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 640, 1, 1" offset="1573059282" size="1280" />
+		<layer id="2554" name="__module.up_blocks.2.attentions.0.proj_in/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="1572995384" size="1280" />
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 				<port id="0" precision="FP16">
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@@ -48701,7 +43475,7 @@
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 			</output>
 		</layer>
-		<layer id="2949" name="Reshape_13217" type="Convert" version="opset1">
+		<layer id="2555" name="__module.up_blocks.2.attentions.0.proj_in/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -48723,7 +43497,7 @@
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 		</layer>
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 			<data auto_broadcast="numpy" />
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 			<output>
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 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -48748,15 +43522,15 @@
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-		<layer id="2951" name="Constant_13245" type="Const" version="opset1">
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+		<layer id="2557" name="Constant_82772" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="8841984" size="32" />
 			<output>
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-		<layer id="2952" name="/up_blocks.2/attentions.0/Transpose" type="Transpose" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -48769,7 +43543,7 @@
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/Transpose_output_0">
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 					<dim>32</dim>
 					<dim>32</dim>
@@ -48777,15 +43551,18 @@
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-			<data element_type="i64" shape="3" offset="39374238" size="24" />
+		<layer id="2559" name="Constant_196350" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39113568" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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-		<layer id="2954" name="/up_blocks.2/attentions.0/Reshape" type="Reshape" version="opset1">
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 			<data special_zero="true" />
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 				<port id="0" precision="FP32">
@@ -48799,22 +43576,22 @@
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-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/Reshape_output_0">
+				<port id="2" precision="FP32" names="2736,hidden_states.471">
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 					<dim>1024</dim>
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-		<layer id="2955" name="Constant_13254" type="Const" version="opset1">
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@@ -48822,20 +43599,20 @@
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 					<dim>640</dim>
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-				<port id="1" precision="I64">
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 					<dim>1024</dim>
 					<dim>640</dim>
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@@ -48844,7 +43621,7 @@
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-		<layer id="2958" name="Constant_75154" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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@@ -48864,7 +43641,7 @@
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 					<dim>1024</dim>
 					<dim>640</dim>
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 		</layer>
-		<layer id="2960" name="Constant_75155_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="1573061842" size="1280" />
+		<layer id="2566" name="Constant_190362_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="1572997944" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -48896,7 +43673,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2961" name="Constant_75155" type="Convert" version="opset1">
+		<layer id="2567" name="Constant_190362" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -48916,7 +43693,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2962" name="/up_blocks.2/attentions.0/transformer_blocks.0/norm1/Add_1" type="Add" version="opset1">
+		<layer id="2568" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48931,15 +43708,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/norm1/Add_1_output_0">
+				<port id="2" precision="FP32" names="2746,hidden_states.473">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2963" name="Constant_73778_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="1573063122" size="819200" />
+		<layer id="2569" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="1572999224" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -48947,7 +43724,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2964" name="Constant_73778" type="Convert" version="opset1">
+		<layer id="2570" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -48959,13 +43736,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2965" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+		<layer id="2571" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48979,22 +43756,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+				<port id="2" precision="FP32" names="2754,query.81">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2966" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="40196022" size="32" />
+		<layer id="2572" name="Constant_196351" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="39935352" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2967" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
+		<layer id="2573" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49007,7 +43787,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_output_0">
+				<port id="2" precision="FP32" names="2766">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -49015,15 +43795,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2968" name="Constant_13277" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2574" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2969" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+		<layer id="2575" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -49031,12 +43811,12 @@
 					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose_output_0">
+				<port id="2" precision="FP32" names="2767,query.83">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
@@ -49044,37 +43824,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2970" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="40196054" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_1_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2971" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_1_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2972" name="Constant_73785_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="1573882322" size="819200" />
+		<layer id="2576" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="1573818424" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -49082,7 +43833,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2973" name="Constant_73785" type="Convert" version="opset1">
+		<layer id="2577" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -49094,13 +43845,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2974" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="2578" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49114,22 +43865,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="2756,key.81">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2975" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="40196022" size="32" />
+		<layer id="2579" name="Constant_196352" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="39935352" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2976" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+		<layer id="2580" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49142,7 +43896,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="2769">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -49150,15 +43904,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2977" name="Constant_13293" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2581" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2978" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2582" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -49166,12 +43920,12 @@
 					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="2770,key.83">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
@@ -49179,128 +43933,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2979" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="40196054" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_3_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2980" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_3_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2981" name="Constant_75156_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="41015278" size="2" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2982" name="Constant_75156" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2983" name="Multiply_74267" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2984" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>1024</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2985" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>1024</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Softmax_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>1024</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2986" name="Constant_73792_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="1574701522" size="819200" />
+		<layer id="2583" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="1574637624" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -49308,7 +43942,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2987" name="Constant_73792" type="Convert" version="opset1">
+		<layer id="2584" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -49320,13 +43954,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2988" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="2585" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49340,22 +43974,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="2758,value.81">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2989" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="40196022" size="32" />
+		<layer id="2586" name="Constant_196353" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="39935352" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2990" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_4" type="Reshape" version="opset1">
+		<layer id="2587" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49368,7 +44005,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="2772">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -49376,15 +44013,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2991" name="Constant_13309" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2588" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2992" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+		<layer id="2589" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -49392,12 +44029,12 @@
 					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="2773,value.83">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
@@ -49405,16 +44042,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2993" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="40196054" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_5_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2994" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2590" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -49422,62 +44051,21 @@
 					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_5_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2995" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>1024</dim>
-				</port>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/MatMul_1_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2996" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="41834480" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_7_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2997" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_6_output_0">
+				<port id="3" precision="FP32" names="2774,hidden_states.475">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
@@ -49485,15 +44073,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2998" name="Constant_13332" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2591" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2999" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose_4" type="Transpose" version="opset1">
+		<layer id="2592" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -49501,12 +44089,12 @@
 					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="2775">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -49514,15 +44102,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3000" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39374238" size="24" />
+		<layer id="2593" name="Constant_196354" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="41573784" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_8_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3001" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_7" type="Reshape" version="opset1">
+		<layer id="2594" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49536,15 +44127,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_7_output_0">
+				<port id="2" precision="FP32" names="2779,2780,hidden_states.477,input.413">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3002" name="Constant_73799_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="1575520722" size="819200" />
+		<layer id="2595" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="1575456824" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -49552,7 +44143,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3003" name="Constant_73799" type="Convert" version="opset1">
+		<layer id="2596" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -49564,13 +44155,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3004" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="2597" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49584,36 +44175,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3005" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2598" name="Constant_190363_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="1576276024" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2599" name="Constant_190363" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>640</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2600" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+				<port id="2" precision="FP32" names="2783,2785,attn_output.41,input.415">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3006" name="/up_blocks.2/attentions.0/transformer_blocks.0/Add" type="Add" version="opset1">
+		<layer id="2601" name="__module.up_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49628,22 +44249,22 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/Add_output_0">
+				<port id="2" precision="FP32" names="2786,input.417">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3007" name="Constant_13344" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="2602" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3008" name="/up_blocks.2/attentions.0/transformer_blocks.0/norm2/Div" type="MVN" version="opset6">
+		<layer id="2603" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49651,20 +44272,20 @@
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/norm2/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3009" name="Constant_75158_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="1576339922" size="1280" />
+		<layer id="2604" name="Constant_190364_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="1576277304" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -49673,7 +44294,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3010" name="Constant_75158" type="Convert" version="opset1">
+		<layer id="2605" name="Constant_190364" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -49693,7 +44314,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3011" name="/up_blocks.2/attentions.0/transformer_blocks.0/norm2/Mul" type="Multiply" version="opset1">
+		<layer id="2606" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49708,15 +44329,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/norm2/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3012" name="Constant_75159_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="1576341202" size="1280" />
+		<layer id="2607" name="Constant_190365_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="1576278584" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -49725,7 +44346,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3013" name="Constant_75159" type="Convert" version="opset1">
+		<layer id="2608" name="Constant_190365" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -49745,7 +44366,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3014" name="/up_blocks.2/attentions.0/transformer_blocks.0/norm2/Add_1" type="Add" version="opset1">
+		<layer id="2609" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49760,15 +44381,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/norm2/Add_1_output_0">
+				<port id="2" precision="FP32" names="2790,input.419">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3015" name="Constant_73807_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="1576342482" size="819200" />
+		<layer id="2610" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="1576279864" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -49776,7 +44397,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3016" name="Constant_73807" type="Convert" version="opset1">
+		<layer id="2611" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -49788,13 +44409,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3017" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
+		<layer id="2612" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49808,23 +44429,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+				<port id="2" precision="FP32" names="2798,query.85">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3018" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="40196022" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3019" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2613" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -49836,7 +44449,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_output_0">
+				<port id="2" precision="FP32" names="2810">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -49844,15 +44457,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3020" name="Constant_13367" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2614" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3021" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+		<layer id="2615" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -49860,12 +44473,12 @@
 					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose_output_0">
+				<port id="2" precision="FP32" names="2811,query.87">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
@@ -49873,263 +44486,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3022" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="40196054" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_1_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3023" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_1_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3024" name="Constant_73814_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 768" offset="1577161682" size="983040" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>640</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3025" name="Constant_73814" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>640</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>640</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3026" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>77</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>640</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/to_k/MatMul_output_0">
-					<dim>1</dim>
-					<dim>77</dim>
-					<dim>640</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3027" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="44458512" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_2_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3028" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>77</dim>
-					<dim>640</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_2_output_0">
-					<dim>1</dim>
-					<dim>77</dim>
-					<dim>8</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3029" name="Constant_13383" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3030" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>77</dim>
-					<dim>8</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose_1_output_0">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3031" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="44458544" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_3_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3032" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_3_output_0">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3033" name="Constant_75160_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="41015278" size="2" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3034" name="Constant_75160" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3035" name="Multiply_74269" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3036" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3037" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>77</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Softmax_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3038" name="Constant_73821_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 768" offset="1578144722" size="983040" />
+		<layer id="2616" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 768" offset="1577099064" size="983040" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -50137,7 +44495,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3039" name="Constant_73821" type="Convert" version="opset1">
+		<layer id="2617" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -50149,13 +44507,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k.weight">
 					<dim>640</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3040" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="2618" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50169,22 +44527,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="2800,key.85">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3041" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="44458512" size="32" />
+		<layer id="2619" name="Constant_196355" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="39935352" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3042" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_4" type="Reshape" version="opset1">
+		<layer id="2620" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50197,7 +44558,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="2813">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -50205,15 +44566,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3043" name="Constant_13399" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2621" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3044" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+		<layer id="2622" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -50221,12 +44582,12 @@
 					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="2814,key.87">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
@@ -50234,79 +44595,139 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3045" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="44458544" size="24" />
+		<layer id="2623" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 768" offset="1578082104" size="983040" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_5_output_0">
-					<dim>3</dim>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3046" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2624" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v.weight">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2625" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>8</dim>
 					<dim>77</dim>
-					<dim>80</dim>
+					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_5_output_0">
-					<dim>8</dim>
+				<port id="2" precision="FP32" names="2802,value.85">
+					<dim>1</dim>
 					<dim>77</dim>
-					<dim>80</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2626" name="Constant_196356" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="39935352" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3047" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
+		<layer id="2627" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
+					<dim>1</dim>
 					<dim>77</dim>
+					<dim>640</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="2816">
+					<dim>1</dim>
+					<dim>77</dim>
 					<dim>8</dim>
-					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3048" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="41834480" size="32" />
+		<layer id="2628" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_7_output_0">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3049" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2629" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
 					<dim>8</dim>
-					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_6_output_0">
+				<port id="2" precision="FP32" names="2817,value.87">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2630" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>80</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="2818,hidden_states.481">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
@@ -50314,15 +44735,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3050" name="Constant_13422" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2631" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3051" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose_4" type="Transpose" version="opset1">
+		<layer id="2632" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -50330,12 +44751,12 @@
 					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="2819">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -50343,15 +44764,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3052" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39374238" size="24" />
+		<layer id="2633" name="Constant_196357" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="41573784" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_8_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3053" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_7" type="Reshape" version="opset1">
+		<layer id="2634" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50365,15 +44789,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_7_output_0">
+				<port id="2" precision="FP32" names="2823,2824,hidden_states.483,input.421">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3054" name="Constant_73828_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="1579127762" size="819200" />
+		<layer id="2635" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="1579065144" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -50381,7 +44805,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3055" name="Constant_73828" type="Convert" version="opset1">
+		<layer id="2636" name="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -50393,13 +44817,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3056" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="2637" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50413,36 +44837,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3057" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2638" name="Constant_190366_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="1579884344" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2639" name="Constant_190366" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>640</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2640" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+				<port id="2" precision="FP32" names="2827,2829,attn_output.43,input.423">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3058" name="/up_blocks.2/attentions.0/transformer_blocks.0/Add_1" type="Add" version="opset1">
+		<layer id="2641" name="__module.up_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50457,22 +44911,22 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/Add_1_output_0">
+				<port id="2" precision="FP32" names="2830,input.425">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3059" name="Constant_13434" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="2642" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3060" name="/up_blocks.2/attentions.0/transformer_blocks.0/norm3/Div" type="MVN" version="opset6">
+		<layer id="2643" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50480,20 +44934,20 @@
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/norm3/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3061" name="Constant_75162_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="1579946962" size="1280" />
+		<layer id="2644" name="Constant_190367_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="1579885624" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -50502,7 +44956,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3062" name="Constant_75162" type="Convert" version="opset1">
+		<layer id="2645" name="Constant_190367" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -50522,7 +44976,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3063" name="/up_blocks.2/attentions.0/transformer_blocks.0/norm3/Mul" type="Multiply" version="opset1">
+		<layer id="2646" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50537,15 +44991,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/norm3/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3064" name="Constant_75163_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="1579948242" size="1280" />
+		<layer id="2647" name="Constant_190368_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="1579886904" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -50554,7 +45008,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3065" name="Constant_75163" type="Convert" version="opset1">
+		<layer id="2648" name="Constant_190368" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -50574,7 +45028,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3066" name="/up_blocks.2/attentions.0/transformer_blocks.0/norm3/Add_1" type="Add" version="opset1">
+		<layer id="2649" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50589,15 +45043,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/norm3/Add_1_output_0">
+				<port id="2" precision="FP32" names="2834,input.427">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
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 			</output>
 		</layer>
-		<layer id="3067" name="Constant_73836_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="5120, 640" offset="1579949522" size="6553600" />
+		<layer id="2650" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="5120, 640" offset="1579888184" size="6553600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>5120</dim>
@@ -50605,7 +45059,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3068" name="Constant_73836" type="Convert" version="opset1">
+		<layer id="2651" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -50617,13 +45071,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.weight">
 					<dim>5120</dim>
 					<dim>640</dim>
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 			</output>
 		</layer>
-		<layer id="3069" name="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul" type="MatMul" version="opset1">
+		<layer id="2652" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50637,349 +45091,226 @@
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+				<attribute name="decompression" version="0" />
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+		<layer id="2666" name="Constant_113302" type="Const" version="opset1">
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+		<layer id="2668" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
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+				<port id="1" precision="I64" />
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+				<port id="3" precision="FP32" names="2844,hidden_states.487">
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+					<dim>2560</dim>
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+				<port id="4" precision="FP32" names="2845,gate.21">
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 					<dim>1024</dim>
 					<dim>2560</dim>
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 		</layer>
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@@ -50989,14 +45320,14 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Mul_3_output_0">
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 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>2560</dim>
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 		</layer>
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+		<layer id="2670" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
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@@ -51011,15 +45342,15 @@
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-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Mul_4_output_0">
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 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>2560</dim>
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-			<data element_type="f16" shape="640, 2560" offset="1586503122" size="3276800" />
+		<layer id="2671" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 2560" offset="1586452024" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -51027,7 +45358,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3099" name="Constant_73844" type="Convert" version="opset1">
+		<layer id="2672" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -51039,13 +45370,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight">
 					<dim>640</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="3100" name="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+		<layer id="2673" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51059,36 +45390,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.2/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3101" name="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2674" name="Constant_190370_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="1589728824" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2675" name="Constant_190370" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>640</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2676" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.2/Add_output_0">
+				<port id="2" precision="FP32" names="2851,ff_output.21">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3102" name="/up_blocks.2/attentions.0/transformer_blocks.0/Add_2" type="Add" version="opset1">
+		<layer id="2677" name="__module.up_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51103,23 +45464,135 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/Add_2_output_0">
+				<port id="2" precision="FP32" names="2852,hidden_states.489">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3103" name="/up_blocks.2/attentions.0/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="56093768" size="32" />
+		<layer id="2678" name="Constant_194639" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2679" name="Constant_194640" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/Constant_1_output_0">
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2680" name="Gather_194641" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="2715,2752,631,668">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3104" name="/up_blocks.2/attentions.0/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2681" name="ShapeOf_195575" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2682" name="Constant_196671" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="1186481448" size="16" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2683" name="Constant_196672" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2684" name="Gather_196673" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2685" name="__module.up_blocks.2.attentions.0/prim::ListConstruct/Reshape_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="55847096" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2686" name="__module.up_blocks.2.attentions.0/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="I64" names="2853">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2687" name="__module.up_blocks.2.attentions.0/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -51131,7 +45604,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="2854">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>32</dim>
@@ -51139,15 +45612,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3105" name="Constant_13616" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="13790206" size="32" />
+		<layer id="2688" name="Constant_83473" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="13522496" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="2855">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3106" name="/up_blocks.2/attentions.0/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2689" name="__module.up_blocks.2.attentions.0/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -51160,7 +45633,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="2856">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -51168,8 +45641,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3107" name="up_blocks.2.attentions.0.proj_out.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640, 1, 1" offset="1589779922" size="819200" />
+		<layer id="2690" name="self.up_blocks.2.attentions.0.proj_out.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640, 1, 1" offset="1589730104" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -51179,7 +45652,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3108" name="up_blocks.2.attentions.0.proj_out.weight" type="Convert" version="opset1">
+		<layer id="2691" name="self.up_blocks.2.attentions.0.proj_out.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -51193,7 +45666,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.2.attentions.0.proj_out.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.0.proj_out.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -51201,7 +45674,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3109" name="/up_blocks.2/attentions.0/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="2692" name="__module.up_blocks.2.attentions.0.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51226,8 +45699,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3110" name="Reshape_13638_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 640, 1, 1" offset="1590599122" size="1280" />
+		<layer id="2693" name="__module.up_blocks.2.attentions.0.proj_out/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="1590549304" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -51237,7 +45710,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3111" name="Reshape_13638" type="Convert" version="opset1">
+		<layer id="2694" name="__module.up_blocks.2.attentions.0.proj_out/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -51259,7 +45732,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3112" name="/up_blocks.2/attentions.0/proj_out/Conv" type="Add" version="opset1">
+		<layer id="2695" name="__module.up_blocks.2.attentions.0.proj_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51276,7 +45749,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/proj_out/Conv_output_0">
+				<port id="2" precision="FP32" names="2864,hidden_states.493">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -51284,7 +45757,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3113" name="/up_blocks.2/attentions.0/Add" type="Add" version="opset1">
+		<layer id="2696" name="__module.up_blocks.2.attentions.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51301,7 +45774,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/Add_output_0">
+				<port id="2" precision="FP32" names="2865,hidden_states.495">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -51309,7 +45782,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3114" name="/up_blocks.2/Concat_1" type="Concat" version="opset1">
+		<layer id="2697" name="__module.up_blocks.2/aten::cat/Concat_1" type="Concat" version="opset1">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51326,7 +45799,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/Concat_1_output_0">
+				<port id="2" precision="FP32" names="2867,input.433">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>32</dim>
@@ -51334,8 +45807,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3115" name="up_blocks.2.resnets.1.conv_shortcut.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1280, 1, 1" offset="1590600402" size="1638400" />
+		<layer id="2698" name="self.up_blocks.2.resnets.1.conv_shortcut.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1280, 1, 1" offset="1590550584" size="1638400" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -51345,7 +45818,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3116" name="up_blocks.2.resnets.1.conv_shortcut.weight" type="Convert" version="opset1">
+		<layer id="2699" name="self.up_blocks.2.resnets.1.conv_shortcut.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -51359,7 +45832,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.2.resnets.1.conv_shortcut.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.2.resnets.1.conv_shortcut.weight">
 					<dim>640</dim>
 					<dim>1280</dim>
 					<dim>1</dim>
@@ -51367,7 +45840,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3117" name="/up_blocks.2/resnets.1/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="2700" name="__module.up_blocks.2.resnets.1.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51392,8 +45865,8 @@
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 			</output>
 		</layer>
-		<layer id="3118" name="Reshape_14023_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 640, 1, 1" offset="1592238802" size="1280" />
+		<layer id="2701" name="__module.up_blocks.2.resnets.1.conv_shortcut/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="1592188984" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -51403,7 +45876,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3119" name="Reshape_14023" type="Convert" version="opset1">
+		<layer id="2702" name="__module.up_blocks.2.resnets.1.conv_shortcut/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -51425,7 +45898,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3120" name="/up_blocks.2/resnets.1/conv_shortcut/Conv" type="Add" version="opset1">
+		<layer id="2703" name="__module.up_blocks.2.resnets.1.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51442,7 +45915,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.1/conv_shortcut/Conv_output_0">
+				<port id="2" precision="FP32" names="2913,input_tensor.19">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -51450,15 +45923,18 @@
 				</port>
 			</output>
 		</layer>
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+		<layer id="2704" name="__module.up_blocks.2.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/resnets.1/norm1/Constant_output_0">
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 		</layer>
-		<layer id="3122" name="/up_blocks.2/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+		<layer id="2705" name="__module.up_blocks.2.resnets.1.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
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@@ -51467,27 +45943,27 @@
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-		<layer id="3123" name="Constant_13677" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="2706" name="__module.up_blocks.2.resnets.1.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
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 		</layer>
-		<layer id="3124" name="MVN_13678" type="MVN" version="opset6">
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 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -51495,20 +45971,20 @@
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-				<port id="1" precision="I64">
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 			<output>
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+				<port id="2" precision="FP32">
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 					<dim>32</dim>
 					<dim>40960</dim>
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 		</layer>
-		<layer id="3125" name="/up_blocks.2/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2708" name="__module.up_blocks.2.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
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 				<port id="0" precision="FP32">
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@@ -51518,12 +45994,12 @@
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 			<output>
-				<port id="1" precision="I64" names="/up_blocks.2/resnets.1/norm1/Shape_output_0">
+				<port id="1" precision="I32">
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 		</layer>
-		<layer id="3126" name="/up_blocks.2/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2709" name="__module.up_blocks.2.resnets.1.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
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@@ -51531,12 +46007,12 @@
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 					<dim>40960</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.1/norm1/Reshape_1_output_0">
+				<port id="2" precision="FP32">
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 					<dim>32</dim>
@@ -51544,8 +46020,8 @@
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-			<data element_type="f16" shape="1, 1280, 1, 1" offset="1592240082" size="2560" />
+		<layer id="2710" name="Constant_190371_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="1592190264" size="2560" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -51555,7 +46031,7 @@
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 			</output>
 		</layer>
-		<layer id="3128" name="Constant_75166" type="Convert" version="opset1">
+		<layer id="2711" name="Constant_190371" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -51577,7 +46053,7 @@
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 			</output>
 		</layer>
-		<layer id="3129" name="/up_blocks.2/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+		<layer id="2712" name="__module.up_blocks.2.resnets.1.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -51594,7 +46070,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.1/norm1/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>32</dim>
@@ -51602,8 +46078,8 @@
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-		<layer id="3130" name="Constant_75167_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="1592242642" size="2560" />
+		<layer id="2713" name="Constant_190372_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="1592192824" size="2560" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -51613,7 +46089,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3131" name="Constant_75167" type="Convert" version="opset1">
+		<layer id="2714" name="Constant_190372" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -51635,7 +46111,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3132" name="/up_blocks.2/resnets.1/norm1/Add" type="Add" version="opset1">
+		<layer id="2715" name="__module.up_blocks.2.resnets.1.norm1/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51652,7 +46128,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.1/norm1/Add_output_0">
+				<port id="2" precision="FP32" names="2877,input.435">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>32</dim>
@@ -51660,7 +46136,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3133" name="/up_blocks.2/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="2716" name="__module.conv_act/aten::silu/Swish_52" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -51670,7 +46146,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.2/resnets.1/nonlinearity/Mul_output_0">
+				<port id="1" precision="FP32" names="2878,hidden_states.497">
 					<dim>1</dim>
 					<dim>1280</dim>
 					<dim>32</dim>
@@ -51678,8 +46154,8 @@
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 		</layer>
-		<layer id="3134" name="up_blocks.2.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1280, 3, 3" offset="1592245202" size="14745600" />
+		<layer id="2717" name="self.up_blocks.2.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1280, 3, 3" offset="1592195384" size="14745600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -51689,7 +46165,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3135" name="up_blocks.2.resnets.1.conv1.weight" type="Convert" version="opset1">
+		<layer id="2718" name="self.up_blocks.2.resnets.1.conv1.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -51703,7 +46179,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.2.resnets.1.conv1.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.2.resnets.1.conv1.weight">
 					<dim>640</dim>
 					<dim>1280</dim>
 					<dim>3</dim>
@@ -51711,7 +46187,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3136" name="/up_blocks.2/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="2719" name="__module.up_blocks.2.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51736,8 +46212,314 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3137" name="Reshape_13802_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 640, 1, 1" offset="1606990802" size="1280" />
+		<layer id="2720" name="__module.up_blocks.2.resnets.1.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="1606940984" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2721" name="__module.up_blocks.2.resnets.1.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2722" name="__module.up_blocks.2.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2885,hidden_states.499">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2723" name="self.up_blocks.2.resnets.1.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1280" offset="1606942264" size="1638400" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2724" name="self.up_blocks.2.resnets.1.time_emb_proj.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="self.up_blocks.2.resnets.1.time_emb_proj.weight">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2725" name="__module.up_blocks.2.resnets.1.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
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+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1280</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2726" name="Constant_190373_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640" offset="1608580664" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>640</dim>
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+		</layer>
+		<layer id="2727" name="Constant_190373" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16">
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+					<dim>640</dim>
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+			<output>
+				<port id="1" precision="FP32">
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+					<dim>640</dim>
+				</port>
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+		<layer id="2728" name="__module.up_blocks.2.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>640</dim>
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+				<port id="1" precision="FP32">
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+					<dim>640</dim>
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+			<output>
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+					<dim>640</dim>
+				</port>
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+		</layer>
+		<layer id="2729" name="__module.up_blocks.2.resnets.1/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
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+				<port id="1" precision="I64" />
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+				<port id="2" precision="FP32" names="2892">
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+					<dim>640</dim>
+					<dim>1</dim>
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+		</layer>
+		<layer id="2730" name="__module.up_blocks.2.resnets.1/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
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+				<port id="1" precision="I64" />
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+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+					<dim>32</dim>
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+				<port id="0" precision="I32">
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+				<port id="0" precision="FP32">
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+					<dim>32</dim>
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+				<port id="1" precision="I32">
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+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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+					<dim>20480</dim>
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+				<port id="0" precision="FP32">
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+					<dim>640</dim>
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+					<dim>32</dim>
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+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2737" name="__module.up_blocks.2.resnets.1.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
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+			</output>
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+		<layer id="2738" name="Constant_190374_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
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@@ -51747,7 +46529,7 @@
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 			</output>
 		</layer>
-		<layer id="3138" name="Reshape_13802" type="Convert" version="opset1">
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 				</port>
 			</output>
 		</layer>
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+		<layer id="2741" name="Constant_190375_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
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@@ -52128,7 +46587,7 @@
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 			</output>
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-		<layer id="3161" name="Constant_75170" type="Convert" version="opset1">
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@@ -52150,7 +46609,7 @@
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@@ -52167,7 +46626,7 @@
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+				<port id="2" precision="FP32" names="2897,input.441">
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 					<dim>640</dim>
 					<dim>32</dim>
@@ -52175,7 +46634,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.2/resnets.1/nonlinearity_1/Mul_output_0">
+				<port id="1" precision="FP32" names="2898,input.443">
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 					<dim>640</dim>
 					<dim>32</dim>
@@ -52193,8 +46652,8 @@
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 				<port id="0" precision="FP16">
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@@ -52204,7 +46663,7 @@
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 			</output>
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@@ -52218,7 +46677,7 @@
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 					<dim>640</dim>
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@@ -52226,7 +46685,7 @@
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@@ -52262,7 +46721,7 @@
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-		<layer id="3168" name="Reshape_13975" type="Convert" version="opset1">
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@@ -52284,7 +46743,7 @@
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@@ -52301,7 +46760,7 @@
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+				<port id="2" precision="FP32" names="2906,hidden_states.503">
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@@ -52309,7 +46768,7 @@
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@@ -52326,7 +46785,7 @@
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@@ -52334,15 +46793,18 @@
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+		<layer id="2754" name="__module.up_blocks.2.attentions.1.norm/aten::group_norm/Constant_1" type="Const" version="opset1">
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-		<layer id="3174" name="MVN_14064" type="MVN" version="opset6">
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-		<layer id="3175" name="/up_blocks.2/attentions.1/norm/Shape" type="ShapeOf" version="opset3">
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+		<layer id="2756" name="__module.up_blocks.2.attentions.1.norm/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
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@@ -52402,12 +46864,12 @@
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 					<dim>20480</dim>
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@@ -52428,8 +46890,8 @@
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-		<layer id="3178" name="Constant_75171" type="Convert" version="opset1">
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@@ -52461,7 +46923,7 @@
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@@ -52478,7 +46940,7 @@
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+				<port id="2" precision="FP32">
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 					<dim>640</dim>
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@@ -52486,8 +46948,8 @@
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-			<data element_type="f16" shape="1, 640, 1, 1" offset="1616009682" size="1280" />
+		<layer id="2761" name="Constant_190377_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
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@@ -52497,7 +46959,7 @@
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 			</output>
 		</layer>
-		<layer id="3181" name="Constant_75172" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -52519,7 +46981,7 @@
 				</port>
 			</output>
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@@ -52536,7 +46998,7 @@
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+				<port id="2" precision="FP32" names="2928,hidden_states.507">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -52544,8 +47006,8 @@
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-			<data element_type="f16" shape="640, 640, 1, 1" offset="1616010962" size="819200" />
+		<layer id="2764" name="self.up_blocks.2.attentions.1.proj_in.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640, 1, 1" offset="1615961144" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
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@@ -52555,7 +47017,7 @@
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 		</layer>
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 			<data destination_type="f32" />
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@@ -52569,7 +47031,7 @@
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 					<dim>640</dim>
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@@ -52577,7 +47039,7 @@
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 			</output>
 		</layer>
-		<layer id="3185" name="/up_blocks.2/attentions.1/proj_in/Conv/WithoutBiases" type="Convolution" version="opset1">
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 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52602,8 +47064,8 @@
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 		</layer>
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-			<data element_type="f16" shape="1, 640, 1, 1" offset="1616830162" size="1280" />
+		<layer id="2767" name="__module.up_blocks.2.attentions.1.proj_in/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="1616780344" size="1280" />
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 				<port id="0" precision="FP16">
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@@ -52613,7 +47075,7 @@
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 		</layer>
-		<layer id="3187" name="Reshape_14186" type="Convert" version="opset1">
+		<layer id="2768" name="__module.up_blocks.2.attentions.1.proj_in/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -52635,7 +47097,7 @@
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 			</output>
 		</layer>
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+		<layer id="2769" name="__module.up_blocks.2.attentions.1.proj_in/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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+				<port id="2" precision="FP32" names="2935,hidden_states.509">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -52660,15 +47122,15 @@
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-		<layer id="3189" name="Constant_14214" type="Const" version="opset1">
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+		<layer id="2770" name="Constant_84032" type="Const" version="opset1">
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 			<output>
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 			<input>
 				<port id="0" precision="FP32">
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@@ -52681,7 +47143,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/Transpose_output_0">
+				<port id="2" precision="FP32" names="2938">
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 					<dim>32</dim>
 					<dim>32</dim>
@@ -52689,15 +47151,18 @@
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-			<data element_type="i64" shape="3" offset="39374238" size="24" />
+		<layer id="2772" name="Constant_196358" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39113568" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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 			<output>
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 			<data special_zero="true" />
 			<input>
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@@ -52711,22 +47176,22 @@
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 			</input>
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-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/Reshape_output_0">
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 					<dim>1024</dim>
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-		<layer id="3193" name="Constant_14223" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="2774" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
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 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -52734,20 +47199,20 @@
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 					<dim>640</dim>
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-				<port id="1" precision="I64">
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 					<dim>1024</dim>
 					<dim>640</dim>
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+		<layer id="2776" name="Constant_190378_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
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@@ -52756,7 +47221,7 @@
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 		</layer>
-		<layer id="3196" name="Constant_75173" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -52776,7 +47241,7 @@
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@@ -52791,15 +47256,15 @@
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@@ -52808,7 +47273,7 @@
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-		<layer id="3199" name="Constant_75174" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -52828,7 +47293,7 @@
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@@ -52843,15 +47308,15 @@
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@@ -52859,7 +47324,7 @@
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@@ -52871,13 +47336,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3203" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+		<layer id="2784" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52891,22 +47356,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+				<port id="2" precision="FP32" names="2960,query.89">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3204" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="40196022" size="32" />
+		<layer id="2785" name="Constant_196359" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="39935352" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3205" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
+		<layer id="2786" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52919,7 +47387,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_output_0">
+				<port id="2" precision="FP32" names="2972">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -52927,15 +47395,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3206" name="Constant_14246" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2787" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3207" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+		<layer id="2788" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -52943,50 +47411,21 @@
 					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_output_0">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3208" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="40196054" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_1_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3209" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="2973,query.91">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_1_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="3210" name="Constant_73861_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="1617653202" size="819200" />
+		<layer id="2789" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="1617603384" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -52994,7 +47433,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3211" name="Constant_73861" type="Convert" version="opset1">
+		<layer id="2790" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -53006,13 +47445,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_k.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3212" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="2791" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -53026,22 +47465,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="2962,key.89">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3213" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="40196022" size="32" />
+		<layer id="2792" name="Constant_196360" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="39935352" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3214" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+		<layer id="2793" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -53054,7 +47496,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="2975">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -53062,15 +47504,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3215" name="Constant_14262" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2794" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3216" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2795" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -53078,12 +47520,12 @@
 					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="2976,key.91">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
@@ -53091,128 +47533,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3217" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="40196054" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_3_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3218" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_3_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3219" name="Constant_75175_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="41015278" size="2" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3220" name="Constant_75175" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3221" name="Multiply_74271" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3222" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>1024</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3223" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>1024</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Softmax_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>1024</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3224" name="Constant_73868_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="1618472402" size="819200" />
+		<layer id="2796" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="1618422584" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -53220,7 +47542,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3225" name="Constant_73868" type="Convert" version="opset1">
+		<layer id="2797" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -53232,13 +47554,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_v.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3226" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="2798" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -53252,22 +47574,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="2964,value.89">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3227" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="40196022" size="32" />
+		<layer id="2799" name="Constant_196361" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="39935352" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3228" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_4" type="Reshape" version="opset1">
+		<layer id="2800" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -53280,7 +47605,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="2978">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -53288,15 +47613,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3229" name="Constant_14278" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2801" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3230" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+		<layer id="2802" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -53304,12 +47629,12 @@
 					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="2979,value.91">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
@@ -53317,16 +47642,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3231" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="40196054" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_5_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3232" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2803" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -53334,62 +47651,21 @@
 					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_5_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3233" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>1024</dim>
-				</port>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/MatMul_1_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3234" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="41834480" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_7_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3235" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_6_output_0">
+				<port id="3" precision="FP32" names="2980,hidden_states.515">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
@@ -53397,15 +47673,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3236" name="Constant_14301" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2804" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3237" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_4" type="Transpose" version="opset1">
+		<layer id="2805" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -53413,12 +47689,12 @@
 					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="2981">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -53426,15 +47702,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3238" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39374238" size="24" />
+		<layer id="2806" name="Constant_196362" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="41573784" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_8_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3239" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_7" type="Reshape" version="opset1">
+		<layer id="2807" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -53448,15 +47727,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_7_output_0">
+				<port id="2" precision="FP32" names="2985,2986,hidden_states.517,input.445">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3240" name="Constant_73875_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="1619291602" size="819200" />
+		<layer id="2808" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="1619241784" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -53464,7 +47743,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3241" name="Constant_73875" type="Convert" version="opset1">
+		<layer id="2809" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -53476,13 +47755,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_out.0.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3242" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="2810" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -53496,36 +47775,44 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3243" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
+		<layer id="2811" name="Constant_190380_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="1620060984" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>640</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="2812" name="Constant_190380" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3244" name="/up_blocks.2/attentions.1/transformer_blocks.0/Add" type="Add" version="opset1">
+		<layer id="2813" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -53535,100 +47822,70 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>1024</dim>
+					<dim>1</dim>
 					<dim>640</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/Add_output_0">
+				<port id="2" precision="FP32" names="2989,2991,attn_output.45,input.447">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3245" name="Constant_14313" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3246" name="/up_blocks.2/attentions.1/transformer_blocks.0/norm2/Div" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="2814" name="__module.up_blocks.2.attentions.1.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/norm2/Div_output_0">
+				<port id="2" precision="FP32" names="2992,input.449">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3247" name="Constant_75177_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="1620110802" size="1280" />
+		<layer id="2815" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>640</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3248" name="Constant_75177" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>640</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="0" precision="I32">
 					<dim>1</dim>
-					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3249" name="/up_blocks.2/attentions.1/transformer_blocks.0/norm2/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2816" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="1" precision="I32">
 					<dim>1</dim>
-					<dim>640</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/norm2/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3250" name="Constant_75178_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="1620112082" size="1280" />
+		<layer id="2817" name="Constant_190381_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="1620062264" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -53637,7 +47894,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3251" name="Constant_75178" type="Convert" version="opset1">
+		<layer id="2818" name="Constant_190381" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -53657,7 +47914,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3252" name="/up_blocks.2/attentions.1/transformer_blocks.0/norm2/Add_1" type="Add" version="opset1">
+		<layer id="2819" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -53672,42 +47929,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/norm2/Add_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3253" name="Constant_73883_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="1620113362" size="819200" />
+		<layer id="2820" name="Constant_190382_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="1620063544" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3254" name="Constant_73883" type="Convert" version="opset1">
+		<layer id="2821" name="Constant_190382" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>640</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3255" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
+		<layer id="2822" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -53715,107 +47975,119 @@
 					<dim>640</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>640</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+				<port id="2" precision="FP32" names="2996,input.451">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3256" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="40196022" size="32" />
+		<layer id="2823" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_q.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="1620064824" size="819200" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_output_0">
-					<dim>4</dim>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3257" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2824" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_q.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_q.weight">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2825" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_output_0">
+				<port id="2" precision="FP32" names="3004,query.93">
 					<dim>1</dim>
 					<dim>1024</dim>
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-					<dim>80</dim>
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-		<layer id="3258" name="Constant_14336" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3259" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+		<layer id="2826" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
-					<dim>8</dim>
-					<dim>80</dim>
+					<dim>640</dim>
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 				<port id="1" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose_output_0">
+				<port id="2" precision="FP32" names="3016">
 					<dim>1</dim>
-					<dim>8</dim>
 					<dim>1024</dim>
+					<dim>8</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3260" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="40196054" size="24" />
+		<layer id="2827" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_1_output_0">
-					<dim>3</dim>
+				<port id="0" precision="I32">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3261" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2828" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>8</dim>
 					<dim>1024</dim>
+					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="3017,query.95">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3262" name="Constant_73890_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 768" offset="1620932562" size="983040" />
+		<layer id="2829" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 768" offset="1620884024" size="983040" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -53823,7 +48095,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3263" name="Constant_73890" type="Convert" version="opset1">
+		<layer id="2830" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -53835,13 +48107,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight">
 					<dim>640</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3264" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="2831" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -53855,22 +48127,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="3006,key.93">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3265" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="44458512" size="32" />
+		<layer id="2832" name="Constant_196363" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="39935352" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3266" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+		<layer id="2833" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -53883,7 +48158,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="3019">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -53891,15 +48166,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3267" name="Constant_14352" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2834" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3268" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2835" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -53907,141 +48182,21 @@
 					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose_1_output_0">
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-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3269" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="44458544" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_3_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3270" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
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-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3271" name="Constant_75179_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="41015278" size="2" />
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-					<dim>1</dim>
-					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="3272" name="Constant_75179" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
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-			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="3273" name="Multiply_74273" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3020,key.95">
 					<dim>1</dim>
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-			</input>
-			<output>
-				<port id="2" precision="FP32">
 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3274" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
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-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3275" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>77</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Softmax_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3276" name="Constant_73897_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 768" offset="1621915602" size="983040" />
+		<layer id="2836" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 768" offset="1621867064" size="983040" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -54049,7 +48204,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3277" name="Constant_73897" type="Convert" version="opset1">
+		<layer id="2837" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -54061,13 +48216,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight">
 					<dim>640</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3278" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="2838" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -54081,22 +48236,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="3008,value.93">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3279" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="44458512" size="32" />
+		<layer id="2839" name="Constant_196364" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="39935352" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3280" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_4" type="Reshape" version="opset1">
+		<layer id="2840" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -54109,7 +48267,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="3022">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -54117,15 +48275,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3281" name="Constant_14368" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2841" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3282" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+		<layer id="2842" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -54133,12 +48291,12 @@
 					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="3023,value.95">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
@@ -54146,79 +48304,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3283" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="44458544" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_5_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3284" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2843" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
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-					<dim>80</dim>
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-				<port id="1" precision="I64">
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-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3285" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
 					<dim>8</dim>
 					<dim>1024</dim>
-					<dim>77</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
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-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3286" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="41834480" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_7_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3287" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
-					<dim>1024</dim>
+					<dim>77</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_6_output_0">
+				<port id="3" precision="FP32" names="3024,hidden_states.521">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
@@ -54226,15 +48335,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3288" name="Constant_14391" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2844" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="3289" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose_4" type="Transpose" version="opset1">
+		<layer id="2845" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -54242,12 +48351,12 @@
 					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="3025">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -54255,15 +48364,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3290" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39374238" size="24" />
+		<layer id="2846" name="Constant_196365" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="41573784" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_8_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3291" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_7" type="Reshape" version="opset1">
+		<layer id="2847" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -54277,15 +48389,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_7_output_0">
+				<port id="2" precision="FP32" names="3029,3030,hidden_states.523,input.453">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3292" name="Constant_73904_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="1622898642" size="819200" />
+		<layer id="2848" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="1622850104" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -54293,7 +48405,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3293" name="Constant_73904" type="Convert" version="opset1">
+		<layer id="2849" name="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -54305,13 +48417,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3294" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="2850" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -54325,36 +48437,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3295" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2851" name="Constant_190383_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="1623669304" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2852" name="Constant_190383" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>640</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2853" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+				<port id="2" precision="FP32" names="3033,3035,attn_output.47,input.455">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3296" name="/up_blocks.2/attentions.1/transformer_blocks.0/Add_1" type="Add" version="opset1">
+		<layer id="2854" name="__module.up_blocks.2.attentions.1.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -54369,22 +48511,22 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/Add_1_output_0">
+				<port id="2" precision="FP32" names="3036,input.457">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3297" name="Constant_14403" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="2855" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3298" name="/up_blocks.2/attentions.1/transformer_blocks.0/norm3/Div" type="MVN" version="opset6">
+		<layer id="2856" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -54392,20 +48534,20 @@
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/norm3/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3299" name="Constant_75181_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="1623717842" size="1280" />
+		<layer id="2857" name="Constant_190384_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="1623670584" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -54414,7 +48556,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3300" name="Constant_75181" type="Convert" version="opset1">
+		<layer id="2858" name="Constant_190384" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -54434,7 +48576,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3301" name="/up_blocks.2/attentions.1/transformer_blocks.0/norm3/Mul" type="Multiply" version="opset1">
+		<layer id="2859" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -54449,15 +48591,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/norm3/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3302" name="Constant_75182_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="1623719122" size="1280" />
+		<layer id="2860" name="Constant_190385_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="1623671864" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -54466,7 +48608,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3303" name="Constant_75182" type="Convert" version="opset1">
+		<layer id="2861" name="Constant_190385" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -54486,7 +48628,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3304" name="/up_blocks.2/attentions.1/transformer_blocks.0/norm3/Add_1" type="Add" version="opset1">
+		<layer id="2862" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -54501,15 +48643,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/norm3/Add_1_output_0">
+				<port id="2" precision="FP32" names="3040,input.459">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3305" name="Constant_73912_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="5120, 640" offset="1623720402" size="6553600" />
+		<layer id="2863" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="5120, 640" offset="1623673144" size="6553600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>5120</dim>
@@ -54517,7 +48659,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3306" name="Constant_73912" type="Convert" version="opset1">
+		<layer id="2864" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -54529,13 +48671,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight">
 					<dim>5120</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3307" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/proj/MatMul" type="MatMul" version="opset1">
+		<layer id="2865" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -54549,61 +48691,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/proj/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3308" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/proj/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
+		<layer id="2866" name="Constant_190386_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 5120" offset="1630226744" size="10240" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>5120</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="2867" name="Constant_190386" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>1024</dim>
 					<dim>5120</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/proj/Add_output_0">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>1024</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3309" name="Constant_66181" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="12970914" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+		<layer id="2868" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
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-		</layer>
-		<layer id="3310" name="Constant_66182" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="12970914" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>5120</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3311" name="Constant_66178" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="2" precision="FP32" names="3048">
 					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3312" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2869" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -54612,286 +48760,145 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3313" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="2870" name="Constant_113315" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="12702620" size="4" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3314" name="Constant_14420" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="12970938" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3315" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Gather" type="Gather" version="opset8">
+		<layer id="2871" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Gather_output_0">
-					<dim>1</dim>
-				</port>
+				<port id="3" precision="I32" />
 			</output>
 		</layer>
-		<layer id="3316" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2143392" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant_2_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3317" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Add_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3318" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant_3_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3319" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Div" type="Divide" version="opset1">
+		<layer id="2872" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Div_output_0,/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Mul_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3320" name="Constant_66177" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="12970946" size="4" />
-			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
+				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="3321" name="ScatterUpdate_66183" type="ScatterUpdate" version="opset3">
+		<layer id="2873" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
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-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3322" name="Constant_66186" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="12970950" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="3323" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2874" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32">
 					<dim>1</dim>
-					<dim>1024</dim>
-					<dim>5120</dim>
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-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Slice_output_0">
+				<port id="2" precision="BOOL">
 					<dim>1</dim>
-					<dim>1024</dim>
-					<dim>2560</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3324" name="Constant_66250" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="12970914" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3325" name="Constant_66249" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
-			<output>
-				<port id="0" precision="I64">
+		<layer id="2875" name="Convert_195787" type="Convert" version="opset1">
+			<data destination_type="i32" />
+			<input>
+				<port id="0" precision="BOOL">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3326" name="Constant_66248" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="12970946" size="4" />
+			</input>
 			<output>
-				<port id="0" precision="I32">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3327" name="ScatterUpdate_66251" type="ScatterUpdate" version="opset3">
+		<layer id="2876" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3328" name="Constant_66252" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="12970914" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3329" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant_5_output_0">
+				<port id="2" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3330" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Mul_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="2877" name="Constant_113316" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="2" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Mul_1_output_0">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3331" name="ScatterUpdate_66253" type="ScatterUpdate" version="opset3">
+		<layer id="2878" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3332" name="Constant_66256" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="12970950" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="2" precision="I32">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3333" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2879" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>5120</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>2</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Slice_1_output_0">
+				<port id="3" precision="FP32" names="3050,hidden_states.527">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="4" precision="FP32" names="3051,gate.23">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3334" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+		<layer id="2880" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -54901,14 +48908,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+				<port id="1" precision="FP32" names="3052">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3335" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+		<layer id="2881" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -54923,15 +48930,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+				<port id="2" precision="FP32" names="3053,input.461">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3336" name="Constant_73920_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 2560" offset="1630274002" size="3276800" />
+		<layer id="2882" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 2560" offset="1630236984" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -54939,7 +48946,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3337" name="Constant_73920" type="Convert" version="opset1">
+		<layer id="2883" name="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -54951,13 +48958,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight">
 					<dim>640</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3338" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+		<layer id="2884" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -54971,36 +48978,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.2/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3339" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2885" name="Constant_190387_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="1633513784" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2886" name="Constant_190387" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>640</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2887" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.2/Add_output_0">
+				<port id="2" precision="FP32" names="3057,ff_output.23">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3340" name="/up_blocks.2/attentions.1/transformer_blocks.0/Add_2" type="Add" version="opset1">
+		<layer id="2888" name="__module.up_blocks.2.attentions.1.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55015,23 +49052,135 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/Add_2_output_0">
+				<port id="2" precision="FP32" names="3058,hidden_states.529">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3341" name="/up_blocks.2/attentions.1/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="56093768" size="32" />
+		<layer id="2889" name="Constant_194520" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/Constant_1_output_0">
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2890" name="Constant_194521" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2891" name="Gather_194522" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="2921,2958,3127,3164,389,426">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3342" name="/up_blocks.2/attentions.1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2892" name="ShapeOf_195689" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2893" name="Constant_196676" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="1186481448" size="16" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2894" name="Constant_196677" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2895" name="Gather_196678" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2896" name="__module.up_blocks.2.attentions.1/prim::ListConstruct/Reshape_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="55847096" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2897" name="__module.up_blocks.2.attentions.1/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="I64" names="3059">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2898" name="__module.up_blocks.2.attentions.1/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -55043,7 +49192,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="3060">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>32</dim>
@@ -55051,15 +49200,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3343" name="Constant_14585" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="13790206" size="32" />
+		<layer id="2899" name="Constant_84733" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="13522496" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="3061">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3344" name="/up_blocks.2/attentions.1/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2900" name="__module.up_blocks.2.attentions.1/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -55072,7 +49221,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="3062">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -55080,8 +49229,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3345" name="up_blocks.2.attentions.1.proj_out.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640, 1, 1" offset="1633550802" size="819200" />
+		<layer id="2901" name="self.up_blocks.2.attentions.1.proj_out.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640, 1, 1" offset="1633515064" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -55091,7 +49240,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3346" name="up_blocks.2.attentions.1.proj_out.weight" type="Convert" version="opset1">
+		<layer id="2902" name="self.up_blocks.2.attentions.1.proj_out.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -55105,7 +49254,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.2.attentions.1.proj_out.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.1.proj_out.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -55113,7 +49262,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3347" name="/up_blocks.2/attentions.1/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="2903" name="__module.up_blocks.2.attentions.1.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55138,8 +49287,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3348" name="Reshape_14607_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 640, 1, 1" offset="1634370002" size="1280" />
+		<layer id="2904" name="__module.up_blocks.2.attentions.1.proj_out/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="1634334264" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -55149,7 +49298,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3349" name="Reshape_14607" type="Convert" version="opset1">
+		<layer id="2905" name="__module.up_blocks.2.attentions.1.proj_out/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -55171,7 +49320,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3350" name="/up_blocks.2/attentions.1/proj_out/Conv" type="Add" version="opset1">
+		<layer id="2906" name="__module.up_blocks.2.attentions.1.proj_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55188,7 +49337,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/proj_out/Conv_output_0">
+				<port id="2" precision="FP32" names="3070,hidden_states.533">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -55196,7 +49345,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3351" name="/up_blocks.2/attentions.1/Add" type="Add" version="opset1">
+		<layer id="2907" name="__module.up_blocks.2.attentions.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55213,7 +49362,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/Add_output_0">
+				<port id="2" precision="FP32" names="3071,hidden_states.535">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -55221,7 +49370,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3352" name="/up_blocks.2/Concat_2" type="Concat" version="opset1">
+		<layer id="2908" name="__module.up_blocks.2/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55238,7 +49387,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/Concat_2_output_0">
+				<port id="2" precision="FP32" names="3073,input.465">
 					<dim>1</dim>
 					<dim>960</dim>
 					<dim>32</dim>
@@ -55246,8 +49395,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3353" name="up_blocks.2.resnets.2.conv_shortcut.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 960, 1, 1" offset="1634371282" size="1228800" />
+		<layer id="2909" name="self.up_blocks.2.resnets.2.conv_shortcut.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 960, 1, 1" offset="1634335544" size="1228800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -55257,7 +49406,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3354" name="up_blocks.2.resnets.2.conv_shortcut.weight" type="Convert" version="opset1">
+		<layer id="2910" name="self.up_blocks.2.resnets.2.conv_shortcut.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -55271,7 +49420,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.2.resnets.2.conv_shortcut.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.2.resnets.2.conv_shortcut.weight">
 					<dim>640</dim>
 					<dim>960</dim>
 					<dim>1</dim>
@@ -55279,7 +49428,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3355" name="/up_blocks.2/resnets.2/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="2911" name="__module.up_blocks.2.resnets.2.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55304,8 +49453,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3356" name="Reshape_14992_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 640, 1, 1" offset="1635600082" size="1280" />
+		<layer id="2912" name="__module.up_blocks.2.resnets.2.conv_shortcut/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="1635564344" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -55315,7 +49464,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3357" name="Reshape_14992" type="Convert" version="opset1">
+		<layer id="2913" name="__module.up_blocks.2.resnets.2.conv_shortcut/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -55337,7 +49486,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3358" name="/up_blocks.2/resnets.2/conv_shortcut/Conv" type="Add" version="opset1">
+		<layer id="2914" name="__module.up_blocks.2.resnets.2.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55354,7 +49503,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/conv_shortcut/Conv_output_0">
+				<port id="2" precision="FP32" names="3119,input_tensor.21">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -55362,15 +49511,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3359" name="/up_blocks.2/resnets.2/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="2915" name="__module.up_blocks.2.resnets.2.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/resnets.2/norm1/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3360" name="/up_blocks.2/resnets.2/norm1/Reshape" type="Reshape" version="opset1">
+		<layer id="2916" name="__module.up_blocks.2.resnets.2.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55379,27 +49531,27 @@
 					<dim>32</dim>
 					<dim>32</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/norm1/Reshape_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>30720</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3361" name="Constant_14646" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="2917" name="__module.up_blocks.2.resnets.2.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3362" name="MVN_14647" type="MVN" version="opset6">
+		<layer id="2918" name="__module.up_blocks.2.resnets.2.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55407,20 +49559,20 @@
 					<dim>32</dim>
 					<dim>30720</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/norm1/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>30720</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3363" name="/up_blocks.2/resnets.2/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2919" name="__module.up_blocks.2.resnets.2.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -55430,12 +49582,12 @@
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 			</input>
 			<output>
-				<port id="1" precision="I64" names="/up_blocks.2/resnets.2/norm1/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
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-		<layer id="3364" name="/up_blocks.2/resnets.2/norm1/Reshape_1" type="Reshape" version="opset1">
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@@ -55443,12 +49595,12 @@
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+				<port id="2" precision="FP32">
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@@ -55456,8 +49608,8 @@
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-			<data element_type="f16" shape="1, 960, 1, 1" offset="1635601362" size="1920" />
+		<layer id="2921" name="Constant_190388_compressed" type="Const" version="opset1">
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@@ -55467,7 +49619,7 @@
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 			</output>
 		</layer>
-		<layer id="3366" name="Constant_75185" type="Convert" version="opset1">
+		<layer id="2922" name="Constant_190388" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -55489,7 +49641,7 @@
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 			</output>
 		</layer>
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 			<input>
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@@ -55506,7 +49658,7 @@
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 			</input>
 			<output>
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+				<port id="2" precision="FP32">
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 					<dim>960</dim>
 					<dim>32</dim>
@@ -55514,8 +49666,8 @@
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-		<layer id="3368" name="Constant_75186_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 960, 1, 1" offset="1635603282" size="1920" />
+		<layer id="2924" name="Constant_190389_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 960, 1, 1" offset="1635567544" size="1920" />
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 				<port id="0" precision="FP16">
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@@ -55525,7 +49677,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3369" name="Constant_75186" type="Convert" version="opset1">
+		<layer id="2925" name="Constant_190389" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -55547,7 +49699,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3370" name="/up_blocks.2/resnets.2/norm1/Add" type="Add" version="opset1">
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 			<data auto_broadcast="numpy" />
 			<input>
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@@ -55564,7 +49716,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/norm1/Add_output_0">
+				<port id="2" precision="FP32" names="3083,input.467">
 					<dim>1</dim>
 					<dim>960</dim>
 					<dim>32</dim>
@@ -55572,7 +49724,7 @@
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 			</output>
 		</layer>
-		<layer id="3371" name="/up_blocks.2/resnets.2/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="2927" name="__module.conv_act/aten::silu/Swish_55" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -55582,7 +49734,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.2/resnets.2/nonlinearity/Mul_output_0">
+				<port id="1" precision="FP32" names="3084,hidden_states.537">
 					<dim>1</dim>
 					<dim>960</dim>
 					<dim>32</dim>
@@ -55590,8 +49742,8 @@
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-		<layer id="3372" name="up_blocks.2.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 960, 3, 3" offset="1635605202" size="11059200" />
+		<layer id="2928" name="self.up_blocks.2.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 960, 3, 3" offset="1635569464" size="11059200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -55601,7 +49753,7 @@
 				</port>
 			</output>
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-		<layer id="3373" name="up_blocks.2.resnets.2.conv1.weight" type="Convert" version="opset1">
+		<layer id="2929" name="self.up_blocks.2.resnets.2.conv1.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -55615,7 +49767,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.2.resnets.2.conv1.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.2.resnets.2.conv1.weight">
 					<dim>640</dim>
 					<dim>960</dim>
 					<dim>3</dim>
@@ -55623,7 +49775,7 @@
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 			</output>
 		</layer>
-		<layer id="3374" name="/up_blocks.2/resnets.2/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="2930" name="__module.up_blocks.2.resnets.2.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55648,8 +49800,8 @@
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 			</output>
 		</layer>
-		<layer id="3375" name="Reshape_14771_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 640, 1, 1" offset="1646664402" size="1280" />
+		<layer id="2931" name="__module.up_blocks.2.resnets.2.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="1646628664" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -55659,7 +49811,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3376" name="Reshape_14771" type="Convert" version="opset1">
+		<layer id="2932" name="__module.up_blocks.2.resnets.2.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -55681,7 +49833,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3377" name="/up_blocks.2/resnets.2/conv1/Conv" type="Add" version="opset1">
+		<layer id="2933" name="__module.up_blocks.2.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55698,7 +49850,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/conv1/Conv_output_0">
+				<port id="2" precision="FP32" names="3091,hidden_states.539">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -55706,8 +49858,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3378" name="up_blocks.2.resnets.2.time_emb_proj.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 1280" offset="1646665682" size="1638400" />
+		<layer id="2934" name="self.up_blocks.2.resnets.2.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1280" offset="1646629944" size="1638400" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -55715,7 +49867,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3379" name="up_blocks.2.resnets.2.time_emb_proj.weight" type="Convert" version="opset1">
+		<layer id="2935" name="self.up_blocks.2.resnets.2.time_emb_proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -55727,13 +49879,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.2.resnets.2.time_emb_proj.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.2.resnets.2.time_emb_proj.weight">
 					<dim>640</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3380" name="/up_blocks.2/resnets.2/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+		<layer id="2936" name="__module.up_blocks.2.resnets.2.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55752,8 +49904,8 @@
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 			</output>
 		</layer>
-		<layer id="3381" name="Constant_75187_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 640" offset="1648304082" size="1280" />
+		<layer id="2937" name="Constant_190390_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640" offset="1648268344" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -55761,7 +49913,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3382" name="Constant_75187" type="Convert" version="opset1">
+		<layer id="2938" name="Constant_190390" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -55779,7 +49931,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3383" name="/up_blocks.2/resnets.2/time_emb_proj/Gemm" type="Add" version="opset1">
+		<layer id="2939" name="__module.up_blocks.2.resnets.2.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55792,59 +49944,39 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/time_emb_proj/Gemm_output_0">
+				<port id="2" precision="FP32" names="3095,3096,3097">
 					<dim>1</dim>
 					<dim>640</dim>
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 			</output>
 		</layer>
-		<layer id="3384" name="/up_blocks.2/resnets.2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/resnets.2/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3385" name="/up_blocks.2/resnets.2/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="2940" name="__module.up_blocks.2.resnets.2/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>640</dim>
 				</port>
-				<port id="1" precision="I64">
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+				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/Unsqueeze_output_0">
+				<port id="2" precision="FP32" names="3098">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>1</dim>
 				</port>
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 		</layer>
-		<layer id="3386" name="/up_blocks.2/resnets.2/Constant_1" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/resnets.2/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3387" name="/up_blocks.2/resnets.2/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="2941" name="__module.up_blocks.2.resnets.2/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
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+				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/Unsqueeze_1_output_0">
+				<port id="2" precision="FP32" names="3099,temb.37">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -55852,7 +49984,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3388" name="/up_blocks.2/resnets.2/Add" type="Add" version="opset1">
+		<layer id="2942" name="__module.up_blocks.2.resnets.2/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55869,7 +50001,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/Add_output_0">
+				<port id="2" precision="FP32" names="3100,input.471">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -55877,15 +50009,18 @@
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-		<layer id="3389" name="/up_blocks.2/resnets.2/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="2943" name="__module.up_blocks.2.resnets.2.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/resnets.2/norm2/Constant_output_0">
+				<port id="0" precision="I32">
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-		<layer id="3390" name="/up_blocks.2/resnets.2/norm2/Reshape" type="Reshape" version="opset1">
+		<layer id="2944" name="__module.up_blocks.2.resnets.2.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55894,27 +50029,27 @@
 					<dim>32</dim>
 					<dim>32</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/norm2/Reshape_output_0">
+				<port id="2" precision="FP32">
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 					<dim>32</dim>
 					<dim>20480</dim>
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-		<layer id="3391" name="Constant_14819" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="2945" name="__module.up_blocks.2.resnets.2.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
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-		<layer id="3392" name="MVN_14820" type="MVN" version="opset6">
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 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -55922,20 +50057,20 @@
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 					<dim>20480</dim>
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-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/norm2/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
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 					<dim>32</dim>
 					<dim>20480</dim>
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-		<layer id="3393" name="/up_blocks.2/resnets.2/norm2/Shape" type="ShapeOf" version="opset3">
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+		<layer id="2947" name="__module.up_blocks.2.resnets.2.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
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 				<port id="0" precision="FP32">
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@@ -55945,12 +50080,12 @@
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 			<output>
-				<port id="1" precision="I64" names="/up_blocks.2/resnets.2/norm2/Shape_output_0">
+				<port id="1" precision="I32">
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-		<layer id="3394" name="/up_blocks.2/resnets.2/norm2/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2948" name="__module.up_blocks.2.resnets.2.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
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 				<port id="0" precision="FP32">
@@ -55958,12 +50093,12 @@
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 					<dim>20480</dim>
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-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/norm2/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -55971,8 +50106,8 @@
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-		<layer id="3395" name="Constant_75188_compressed" type="Const" version="opset1">
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+		<layer id="2949" name="Constant_190391_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="1648269624" size="1280" />
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 				<port id="0" precision="FP16">
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@@ -55982,7 +50117,7 @@
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@@ -56004,7 +50139,7 @@
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@@ -56029,8 +50164,8 @@
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+		<layer id="2952" name="Constant_190392_compressed" type="Const" version="opset1">
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@@ -56087,7 +50222,7 @@
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@@ -56105,8 +50240,8 @@
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@@ -56116,7 +50251,7 @@
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@@ -56130,7 +50265,7 @@
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@@ -56138,7 +50273,7 @@
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@@ -56163,8 +50298,8 @@
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@@ -56174,7 +50309,7 @@
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@@ -56196,7 +50331,7 @@
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@@ -56213,7 +50348,7 @@
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 					<dim>640</dim>
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@@ -56221,7 +50356,7 @@
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@@ -56238,7 +50373,7 @@
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 					<dim>640</dim>
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@@ -56246,15 +50381,18 @@
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+			<data element_type="i32" shape="3" offset="23680" size="12" />
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@@ -56263,27 +50401,27 @@
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 					<dim>32</dim>
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-		<layer id="3412" name="MVN_15033" type="MVN" version="opset6">
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 			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -56291,20 +50429,20 @@
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 					<dim>32</dim>
 					<dim>20480</dim>
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-		<layer id="3413" name="/up_blocks.2/attentions.2/norm/Shape" type="ShapeOf" version="opset3">
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+		<layer id="2967" name="__module.up_blocks.2.attentions.2.norm/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
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@@ -56314,12 +50452,12 @@
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@@ -56327,12 +50465,12 @@
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 					<dim>20480</dim>
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 					<dim>640</dim>
 					<dim>32</dim>
@@ -56340,8 +50478,8 @@
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@@ -56351,7 +50489,7 @@
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-		<layer id="3416" name="Constant_75190" type="Convert" version="opset1">
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@@ -56373,7 +50511,7 @@
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@@ -56390,7 +50528,7 @@
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@@ -56398,8 +50536,8 @@
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+		<layer id="2972" name="Constant_190394_compressed" type="Const" version="opset1">
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@@ -56409,7 +50547,7 @@
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-		<layer id="3419" name="Constant_75191" type="Convert" version="opset1">
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@@ -56431,7 +50569,7 @@
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 					<dim>640</dim>
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@@ -56456,8 +50594,8 @@
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@@ -56467,7 +50605,7 @@
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@@ -56489,7 +50627,7 @@
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@@ -56525,7 +50663,7 @@
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@@ -56564,7 +50702,7 @@
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@@ -56572,15 +50710,15 @@
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@@ -56593,7 +50731,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/Transpose_output_0">
+				<port id="2" precision="FP32" names="3144">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>32</dim>
@@ -56601,15 +50739,18 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="3" offset="39374238" size="24" />
+		<layer id="2983" name="Constant_196366" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39113568" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/Constant_output_0">
+				<port id="0" precision="I64">
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 			</output>
 		</layer>
-		<layer id="3430" name="/up_blocks.2/attentions.2/Reshape" type="Reshape" version="opset1">
+		<layer id="2984" name="__module.up_blocks.2.attentions.2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56623,22 +50764,22 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/Reshape_output_0">
+				<port id="2" precision="FP32" names="3148,hidden_states.551">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
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 		</layer>
-		<layer id="3431" name="Constant_15192" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="2985" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 				</port>
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 		</layer>
-		<layer id="3432" name="/up_blocks.2/attentions.2/transformer_blocks.0/norm1/Div" type="MVN" version="opset6">
+		<layer id="2986" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56646,20 +50787,20 @@
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/norm1/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3433" name="Constant_75192_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="1656505042" size="1280" />
+		<layer id="2987" name="Constant_190395_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="1656469304" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -56668,7 +50809,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3434" name="Constant_75192" type="Convert" version="opset1">
+		<layer id="2988" name="Constant_190395" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -56688,7 +50829,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3435" name="/up_blocks.2/attentions.2/transformer_blocks.0/norm1/Mul" type="Multiply" version="opset1">
+		<layer id="2989" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56703,15 +50844,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/norm1/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3436" name="Constant_75193_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="1656506322" size="1280" />
+		<layer id="2990" name="Constant_190396_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="1656470584" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -56720,7 +50861,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3437" name="Constant_75193" type="Convert" version="opset1">
+		<layer id="2991" name="Constant_190396" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -56740,7 +50881,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3438" name="/up_blocks.2/attentions.2/transformer_blocks.0/norm1/Add_1" type="Add" version="opset1">
+		<layer id="2992" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56755,15 +50896,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/norm1/Add_1_output_0">
+				<port id="2" precision="FP32" names="3158,hidden_states.553">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3439" name="Constant_73930_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="1656507602" size="819200" />
+		<layer id="2993" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_q.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="1656471864" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -56771,7 +50912,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3440" name="Constant_73930" type="Convert" version="opset1">
+		<layer id="2994" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_q.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -56783,13 +50924,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_q.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3441" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+		<layer id="2995" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56803,157 +50944,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+				<port id="2" precision="FP32" names="3166,query.97">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3442" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="40196022" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3443" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1024</dim>
-					<dim>640</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Reshape_output_0">
-					<dim>1</dim>
-					<dim>1024</dim>
-					<dim>8</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3444" name="Constant_15215" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3445" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1024</dim>
-					<dim>8</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Transpose_output_0">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3446" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="40196054" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_1_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3447" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Reshape_1_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3448" name="Constant_73937_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="1657326802" size="819200" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>640</dim>
-					<dim>640</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3449" name="Constant_73937" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="2996" name="Constant_196367" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="39935352" size="32" />
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="precise" version="0" />
 			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>640</dim>
-					<dim>640</dim>
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-			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>640</dim>
-					<dim>640</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3450" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1024</dim>
-					<dim>640</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>640</dim>
-					<dim>640</dim>
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-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/to_k/MatMul_output_0">
-					<dim>1</dim>
-					<dim>1024</dim>
-					<dim>640</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3451" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="40196022" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3452" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+		<layer id="2997" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56966,7 +50975,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="3178">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -56974,15 +50983,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3453" name="Constant_15231" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="2998" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3454" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2999" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -56990,141 +50999,21 @@
 					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Transpose_1_output_0">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
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-		<layer id="3455" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="40196054" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_3_output_0">
-					<dim>3</dim>
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-		<layer id="3456" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
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-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
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-				<port id="1" precision="I64">
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-			<output>
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-					<dim>1024</dim>
-					<dim>80</dim>
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-		<layer id="3457" name="Constant_75194_compressed" type="Const" version="opset1">
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-					<dim>1</dim>
-					<dim>1</dim>
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-		<layer id="3458" name="Constant_75194" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
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-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3179,query.99">
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-		</layer>
-		<layer id="3459" name="Multiply_74275" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
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-					<dim>1024</dim>
-					<dim>80</dim>
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-				<port id="1" precision="FP32">
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-					<dim>1</dim>
-					<dim>1</dim>
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-					<dim>1024</dim>
-					<dim>80</dim>
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-		<layer id="3460" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Mul" type="MatMul" version="opset1">
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 					<dim>1024</dim>
 					<dim>80</dim>
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-				<port id="1" precision="FP32">
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-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Mul_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>1024</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="3461" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>1024</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Softmax_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>1024</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3462" name="Constant_73944_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="1658146002" size="819200" />
+		<layer id="3000" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="1657291064" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -57132,7 +51021,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3463" name="Constant_73944" type="Convert" version="opset1">
+		<layer id="3001" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -57144,13 +51033,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_k.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3464" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="3002" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57164,22 +51053,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="3168,key.97">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3465" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="40196022" size="32" />
+		<layer id="3003" name="Constant_196368" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="39935352" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3466" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Reshape_4" type="Reshape" version="opset1">
+		<layer id="3004" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57192,7 +51084,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="3181">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -57200,15 +51092,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3467" name="Constant_15247" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="3005" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3468" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+		<layer id="3006" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -57216,12 +51108,12 @@
 					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="3182,key.99">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
@@ -57229,79 +51121,108 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3469" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="40196054" size="24" />
+		<layer id="3007" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="1658110264" size="819200" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_5_output_0">
-					<dim>3</dim>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3470" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3008" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_v.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_v.weight">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3009" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>8</dim>
 					<dim>1024</dim>
-					<dim>80</dim>
+					<dim>640</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Reshape_5_output_0">
-					<dim>8</dim>
+				<port id="2" precision="FP32" names="3170,value.97">
+					<dim>1</dim>
 					<dim>1024</dim>
-					<dim>80</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3010" name="Constant_196369" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="39935352" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3471" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
+		<layer id="3011" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
+					<dim>1</dim>
 					<dim>1024</dim>
+					<dim>640</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/MatMul_1_output_0">
-					<dim>8</dim>
+				<port id="2" precision="FP32" names="3184">
+					<dim>1</dim>
 					<dim>1024</dim>
+					<dim>8</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3472" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="41834480" size="32" />
+		<layer id="3012" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_7_output_0">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3473" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3013" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>8</dim>
+					<dim>1</dim>
 					<dim>1024</dim>
+					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Reshape_6_output_0">
+				<port id="2" precision="FP32" names="3185,value.99">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
@@ -57309,15 +51230,46 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3474" name="Constant_15270" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="3014" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="3" precision="FP32" names="3186,hidden_states.555">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3015" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
+			<output>
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3475" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Transpose_4" type="Transpose" version="opset1">
+		<layer id="3016" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -57325,12 +51277,12 @@
 					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="3187">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -57338,15 +51290,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3476" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39374238" size="24" />
+		<layer id="3017" name="Constant_196370" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="41573784" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_8_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3477" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Reshape_7" type="Reshape" version="opset1">
+		<layer id="3018" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57360,15 +51315,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Reshape_7_output_0">
+				<port id="2" precision="FP32" names="3191,3192,hidden_states.557,input.477">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3478" name="Constant_73951_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="1658965202" size="819200" />
+		<layer id="3019" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="1658929464" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -57376,7 +51331,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3479" name="Constant_73951" type="Convert" version="opset1">
+		<layer id="3020" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -57388,13 +51343,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_out.0.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3480" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="3021" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57408,36 +51363,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3481" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3022" name="Constant_190397_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="1659748664" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3023" name="Constant_190397" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>640</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3024" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3195,3197,attn_output.49,input.479">
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 					<dim>1024</dim>
 					<dim>640</dim>
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 			</output>
 		</layer>
-		<layer id="3482" name="/up_blocks.2/attentions.2/transformer_blocks.0/Add" type="Add" version="opset1">
+		<layer id="3025" name="__module.up_blocks.2.attentions.2.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -57452,22 +51437,22 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/Add_output_0">
+				<port id="2" precision="FP32" names="3198,input.481">
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 					<dim>1024</dim>
 					<dim>640</dim>
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 		</layer>
-		<layer id="3483" name="Constant_15282" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="3026" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="3484" name="/up_blocks.2/attentions.2/transformer_blocks.0/norm2/Div" type="MVN" version="opset6">
+		<layer id="3027" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -57475,20 +51460,20 @@
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/norm2/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
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-		<layer id="3485" name="Constant_75196_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="1659784402" size="1280" />
+		<layer id="3028" name="Constant_190398_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="1659749944" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -57497,7 +51482,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3486" name="Constant_75196" type="Convert" version="opset1">
+		<layer id="3029" name="Constant_190398" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -57517,7 +51502,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3487" name="/up_blocks.2/attentions.2/transformer_blocks.0/norm2/Mul" type="Multiply" version="opset1">
+		<layer id="3030" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57532,15 +51517,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/norm2/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
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 		</layer>
-		<layer id="3488" name="Constant_75197_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="1659785682" size="1280" />
+		<layer id="3031" name="Constant_190399_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="1659751224" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -57549,7 +51534,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3489" name="Constant_75197" type="Convert" version="opset1">
+		<layer id="3032" name="Constant_190399" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -57569,7 +51554,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3490" name="/up_blocks.2/attentions.2/transformer_blocks.0/norm2/Add_1" type="Add" version="opset1">
+		<layer id="3033" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57584,15 +51569,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/norm2/Add_1_output_0">
+				<port id="2" precision="FP32" names="3202,input.483">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3491" name="Constant_73959_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="1659786962" size="819200" />
+		<layer id="3034" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_q.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="1659752504" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -57600,7 +51585,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3492" name="Constant_73959" type="Convert" version="opset1">
+		<layer id="3035" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_q.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -57612,13 +51597,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_q.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3493" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
+		<layer id="3036" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57632,23 +51617,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+				<port id="2" precision="FP32" names="3210,query.101">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3494" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="40196022" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3495" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3037" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -57660,7 +51637,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Reshape_output_0">
+				<port id="2" precision="FP32" names="3222">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -57668,15 +51645,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3496" name="Constant_15305" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="3038" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3497" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+		<layer id="3039" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -57684,50 +51661,21 @@
 					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Transpose_output_0">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3498" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="40196054" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_1_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3499" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="3223,query.103">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Reshape_1_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="3500" name="Constant_73966_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 768" offset="1660606162" size="983040" />
+		<layer id="3040" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 768" offset="1660571704" size="983040" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -57735,7 +51683,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3501" name="Constant_73966" type="Convert" version="opset1">
+		<layer id="3041" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -57747,13 +51695,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_k.weight">
 					<dim>640</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3502" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="3042" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57767,22 +51715,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="3212,key.101">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3503" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="44458512" size="32" />
+		<layer id="3043" name="Constant_196371" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="39935352" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3504" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+		<layer id="3044" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57795,7 +51746,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="3225">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -57803,15 +51754,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3505" name="Constant_15321" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="3045" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3506" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3046" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -57819,141 +51770,21 @@
 					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Transpose_1_output_0">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
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-		</layer>
-		<layer id="3507" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="44458544" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_3_output_0">
-					<dim>3</dim>
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-			</output>
-		</layer>
-		<layer id="3508" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="3226,key.103">
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 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Reshape_3_output_0">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
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 			</output>
 		</layer>
-		<layer id="3509" name="Constant_75198_compressed" type="Const" version="opset1">
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-				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="3510" name="Constant_75198" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
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-			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
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-		</layer>
-		<layer id="3511" name="Multiply_74277" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
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-				<port id="1" precision="FP32">
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-					<dim>1</dim>
-					<dim>1</dim>
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-			<output>
-				<port id="2" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="3512" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Mul_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3513" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>77</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Softmax_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3514" name="Constant_73973_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 768" offset="1661589202" size="983040" />
+		<layer id="3047" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 768" offset="1661554744" size="983040" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -57961,7 +51792,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3515" name="Constant_73973" type="Convert" version="opset1">
+		<layer id="3048" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -57973,13 +51804,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_v.weight">
 					<dim>640</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3516" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="3049" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57993,22 +51824,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="3214,value.101">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3517" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="44458512" size="32" />
+		<layer id="3050" name="Constant_196372" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="39935352" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3518" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Reshape_4" type="Reshape" version="opset1">
+		<layer id="3051" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58021,7 +51855,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="3228">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -58029,15 +51863,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3519" name="Constant_15337" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="3052" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3520" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+		<layer id="3053" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -58045,12 +51879,12 @@
 					<dim>8</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="3229,value.103">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
@@ -58058,79 +51892,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3521" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="44458544" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_5_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3522" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3054" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Reshape_5_output_0">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3523" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
 					<dim>8</dim>
 					<dim>1024</dim>
-					<dim>77</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/MatMul_1_output_0">
-					<dim>8</dim>
-					<dim>1024</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3524" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="41834480" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_7_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3525" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
-					<dim>1024</dim>
+					<dim>77</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Reshape_6_output_0">
+				<port id="3" precision="FP32" names="3230,hidden_states.561">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>1024</dim>
@@ -58138,15 +51923,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3526" name="Constant_15360" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="3055" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3527" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Transpose_4" type="Transpose" version="opset1">
+		<layer id="3056" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -58154,12 +51939,12 @@
 					<dim>1024</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="3231">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>8</dim>
@@ -58167,15 +51952,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3528" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39374238" size="24" />
+		<layer id="3057" name="Constant_196373" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="41573784" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_8_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3529" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Reshape_7" type="Reshape" version="opset1">
+		<layer id="3058" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58189,15 +51977,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Reshape_7_output_0">
+				<port id="2" precision="FP32" names="3235,3236,hidden_states.563,input.485">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3530" name="Constant_73980_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640" offset="1662572242" size="819200" />
+		<layer id="3059" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640" offset="1662537784" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -58205,7 +51993,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3531" name="Constant_73980" type="Convert" version="opset1">
+		<layer id="3060" name="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -58217,13 +52005,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_out.0.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3532" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="3061" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58237,36 +52025,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3533" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3062" name="Constant_190400_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="1663356984" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3063" name="Constant_190400" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>640</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3064" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+				<port id="2" precision="FP32" names="3239,3241,attn_output.51,input.487">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3534" name="/up_blocks.2/attentions.2/transformer_blocks.0/Add_1" type="Add" version="opset1">
+		<layer id="3065" name="__module.up_blocks.2.attentions.2.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58281,22 +52099,22 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/Add_1_output_0">
+				<port id="2" precision="FP32" names="3242,input.489">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3535" name="Constant_15372" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="3066" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3536" name="/up_blocks.2/attentions.2/transformer_blocks.0/norm3/Div" type="MVN" version="opset6">
+		<layer id="3067" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58304,20 +52122,20 @@
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/norm3/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3537" name="Constant_75200_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="1663391442" size="1280" />
+		<layer id="3068" name="Constant_190401_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="1663358264" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -58326,7 +52144,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3538" name="Constant_75200" type="Convert" version="opset1">
+		<layer id="3069" name="Constant_190401" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -58346,7 +52164,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3539" name="/up_blocks.2/attentions.2/transformer_blocks.0/norm3/Mul" type="Multiply" version="opset1">
+		<layer id="3070" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58361,15 +52179,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/norm3/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3540" name="Constant_75201_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="1663392722" size="1280" />
+		<layer id="3071" name="Constant_190402_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="1663359544" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -58378,7 +52196,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3541" name="Constant_75201" type="Convert" version="opset1">
+		<layer id="3072" name="Constant_190402" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -58398,7 +52216,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3542" name="/up_blocks.2/attentions.2/transformer_blocks.0/norm3/Add_1" type="Add" version="opset1">
+		<layer id="3073" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58413,15 +52231,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/norm3/Add_1_output_0">
+				<port id="2" precision="FP32" names="3246,input.491">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3543" name="Constant_73988_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="5120, 640" offset="1663394002" size="6553600" />
+		<layer id="3074" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0.proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="5120, 640" offset="1663360824" size="6553600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>5120</dim>
@@ -58429,7 +52247,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3544" name="Constant_73988" type="Convert" version="opset1">
+		<layer id="3075" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0.proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -58441,13 +52259,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0.proj.weight">
 					<dim>5120</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3545" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/proj/MatMul" type="MatMul" version="opset1">
+		<layer id="3076" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58461,61 +52279,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/proj/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3546" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/proj/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
+		<layer id="3077" name="Constant_190403_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 5120" offset="1669914424" size="10240" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>5120</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="3078" name="Constant_190403" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>1024</dim>
 					<dim>5120</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/proj/Add_output_0">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>1024</dim>
 					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3547" name="Constant_66382" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="12970914" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+		<layer id="3079" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3548" name="Constant_66383" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="12970914" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>5120</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3549" name="Constant_66379" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="2" precision="FP32" names="3254">
 					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3550" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3080" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -58524,286 +52348,145 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3551" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="3081" name="Constant_113329" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="12702620" size="4" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3552" name="Constant_15389" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="12970938" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3553" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Gather" type="Gather" version="opset8">
+		<layer id="3082" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Gather_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3554" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2143392" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Constant_2_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3555" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Add_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3556" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Constant_3_output_0">
-					<dim>1</dim>
-				</port>
+				<port id="3" precision="I32" />
 			</output>
 		</layer>
-		<layer id="3557" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Div" type="Divide" version="opset1">
+		<layer id="3083" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Div_output_0,/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Mul_output_0">
-					<dim>1</dim>
-				</port>
+				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="3558" name="Constant_66378" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="12970946" size="4" />
-			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3559" name="ScatterUpdate_66384" type="ScatterUpdate" version="opset3">
+		<layer id="3084" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
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-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3560" name="Constant_66387" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="3561" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3085" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32">
 					<dim>1</dim>
-					<dim>1024</dim>
-					<dim>5120</dim>
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="3" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Slice_output_0">
+				<port id="2" precision="BOOL">
 					<dim>1</dim>
-					<dim>1024</dim>
-					<dim>2560</dim>
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 		</layer>
-		<layer id="3562" name="Constant_66451" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="12970914" size="24" />
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-				<port id="0" precision="I64">
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-		<layer id="3563" name="Constant_66450" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
-			<output>
-				<port id="0" precision="I64">
+		<layer id="3086" name="Convert_195901" type="Convert" version="opset1">
+			<data destination_type="i32" />
+			<input>
+				<port id="0" precision="BOOL">
 					<dim>1</dim>
 				</port>
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-		</layer>
-		<layer id="3564" name="Constant_66449" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="12970946" size="4" />
+			</input>
 			<output>
-				<port id="0" precision="I32">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3565" name="ScatterUpdate_66452" type="ScatterUpdate" version="opset3">
+		<layer id="3087" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
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-				<port id="0" precision="I64">
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-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32">
 					<dim>1</dim>
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 			<output>
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-					<dim>3</dim>
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-		<layer id="3566" name="Constant_66453" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="12970914" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
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-			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Constant_5_output_0">
+				<port id="2" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3568" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Mul_1" type="Multiply" version="opset1">
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-				<port id="0" precision="I64">
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-				<port id="1" precision="I64">
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-			</input>
+		<layer id="3088" name="Constant_113330" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="2" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Mul_1_output_0">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3569" name="ScatterUpdate_66454" type="ScatterUpdate" version="opset3">
+		<layer id="3089" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
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 				</port>
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+				<port id="1" precision="I32">
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 			</input>
 			<output>
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-					<dim>3</dim>
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-		<layer id="3570" name="Constant_66457" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="2" precision="I32">
+					<dim>2</dim>
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 		</layer>
-		<layer id="3571" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3090" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
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 				<port id="0" precision="FP32">
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 					<dim>1024</dim>
 					<dim>5120</dim>
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-				<port id="2" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>2</dim>
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 			</input>
 			<output>
-				<port id="4" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Slice_1_output_0">
+				<port id="3" precision="FP32" names="3256,hidden_states.567">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="4" precision="FP32" names="3257,gate.25">
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 					<dim>1024</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="3572" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+		<layer id="3091" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
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 				<port id="0" precision="FP32">
@@ -58813,14 +52496,14 @@
 				</port>
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 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+				<port id="1" precision="FP32" names="3258">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="3573" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+		<layer id="3092" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -58835,15 +52518,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+				<port id="2" precision="FP32" names="3259,input.493">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>2560</dim>
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-		<layer id="3574" name="Constant_73996_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 2560" offset="1669947602" size="3276800" />
+		<layer id="3093" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 2560" offset="1669924664" size="3276800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -58851,7 +52534,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3575" name="Constant_73996" type="Convert" version="opset1">
+		<layer id="3094" name="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -58863,13 +52546,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.2.weight">
 					<dim>640</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="3576" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+		<layer id="3095" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
@@ -58883,36 +52566,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.2/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="3096" name="Constant_190404_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="1673201464" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3097" name="Constant_190404" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>640</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3098" name="__module.up_blocks.2.attentions.2.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.2/Add_output_0">
+				<port id="2" precision="FP32" names="3263,ff_output.25">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3578" name="/up_blocks.2/attentions.2/transformer_blocks.0/Add_2" type="Add" version="opset1">
+		<layer id="3099" name="__module.up_blocks.2.attentions.2.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58927,23 +52640,98 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/Add_2_output_0">
+				<port id="2" precision="FP32" names="3264,hidden_states.569">
 					<dim>1</dim>
 					<dim>1024</dim>
 					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3579" name="/up_blocks.2/attentions.2/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="56093768" size="32" />
+		<layer id="3100" name="ShapeOf_195803" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/Constant_1_output_0">
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3580" name="/up_blocks.2/attentions.2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3101" name="Constant_196681" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="1186481448" size="16" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3102" name="Constant_196682" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3103" name="Gather_196683" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3104" name="__module.up_blocks.2.attentions.2/prim::ListConstruct/Reshape_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="55847096" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3105" name="__module.up_blocks.2.attentions.2/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="I64" names="3265">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3106" name="__module.up_blocks.2.attentions.2/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -58955,7 +52743,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="3266">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>32</dim>
@@ -58963,15 +52751,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3581" name="Constant_15554" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="13790206" size="32" />
+		<layer id="3107" name="Constant_85993" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="13522496" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="3267">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3582" name="/up_blocks.2/attentions.2/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3108" name="__module.up_blocks.2.attentions.2/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -58984,7 +52772,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="3268">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -58992,8 +52780,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3583" name="up_blocks.2.attentions.2.proj_out.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640, 1, 1" offset="1673224402" size="819200" />
+		<layer id="3109" name="self.up_blocks.2.attentions.2.proj_out.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640, 1, 1" offset="1673202744" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -59003,7 +52791,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3584" name="up_blocks.2.attentions.2.proj_out.weight" type="Convert" version="opset1">
+		<layer id="3110" name="self.up_blocks.2.attentions.2.proj_out.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -59017,7 +52805,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.2.attentions.2.proj_out.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.2.attentions.2.proj_out.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -59025,7 +52813,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3585" name="/up_blocks.2/attentions.2/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="3111" name="__module.up_blocks.2.attentions.2.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59050,8 +52838,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3586" name="Reshape_15576_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 640, 1, 1" offset="1674043602" size="1280" />
+		<layer id="3112" name="__module.up_blocks.2.attentions.2.proj_out/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="1674021944" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -59061,7 +52849,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3587" name="Reshape_15576" type="Convert" version="opset1">
+		<layer id="3113" name="__module.up_blocks.2.attentions.2.proj_out/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -59083,7 +52871,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3588" name="/up_blocks.2/attentions.2/proj_out/Conv" type="Add" version="opset1">
+		<layer id="3114" name="__module.up_blocks.2.attentions.2.proj_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59100,7 +52888,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/proj_out/Conv_output_0">
+				<port id="2" precision="FP32" names="3276,hidden_states.573">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -59108,7 +52896,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3589" name="/up_blocks.2/attentions.2/Add" type="Add" version="opset1">
+		<layer id="3115" name="__module.up_blocks.2.attentions.2/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59125,7 +52913,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/Add_output_0">
+				<port id="2" precision="FP32" names="3277,hidden_states.575">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>32</dim>
@@ -59133,73 +52921,26 @@
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 			</output>
 		</layer>
-		<layer id="3590" name="ShapeOf_15607" type="ShapeOf" version="opset3">
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-			<output>
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-		</layer>
-		<layer id="3591" name="Convert_15608" type="Convert" version="opset1">
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-			<input>
-				<port id="0" precision="I64">
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-		<layer id="3592" name="/up_blocks.2/upsamplers.0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="4" offset="992563906" size="16" />
+		<layer id="3116" name="__module.up_blocks.2.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
+			<data element_type="f32" shape="2" offset="992415512" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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 			<output>
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-		<layer id="3593" name="Multiply_15609" type="Multiply" version="opset1">
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-			<input>
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-			<output>
-				<port id="2" precision="FP32">
-					<dim>4</dim>
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 			</output>
 		</layer>
-		<layer id="3594" name="Convert_15610" type="Convert" version="opset1">
-			<data destination_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>4</dim>
-				</port>
-			</input>
+		<layer id="3117" name="Constant_86050" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="992415520" size="8" />
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="I32">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3595" name="/up_blocks.2/upsamplers.0/Resize" type="Interpolate" version="opset4">
+		<layer id="3118" name="__module.up_blocks.2.upsamplers.0/aten::upsample_nearest2d/Interpolate" type="Interpolate" version="opset11">
 			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59208,15 +52949,15 @@
 					<dim>32</dim>
 					<dim>32</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>2</dim>
 				</port>
-				<port id="2" precision="FP32">
-					<dim>4</dim>
+				<port id="2" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="/up_blocks.2/upsamplers.0/Resize_output_0">
+				<port id="3" precision="FP32" names="3280,hidden_states.577">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>64</dim>
@@ -59224,8 +52965,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3596" name="up_blocks.2.upsamplers.0.conv.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="640, 640, 3, 3" offset="1674044882" size="7372800" />
+		<layer id="3119" name="self.up_blocks.2.upsamplers.0.conv.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 640, 3, 3" offset="1674023224" size="7372800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>640</dim>
@@ -59235,7 +52976,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3597" name="up_blocks.2.upsamplers.0.conv.weight" type="Convert" version="opset1">
+		<layer id="3120" name="self.up_blocks.2.upsamplers.0.conv.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -59249,7 +52990,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.2.upsamplers.0.conv.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.2.upsamplers.0.conv.weight">
 					<dim>640</dim>
 					<dim>640</dim>
 					<dim>3</dim>
@@ -59257,7 +52998,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3598" name="/up_blocks.2/upsamplers.0/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="3121" name="__module.up_blocks.2.upsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59282,8 +53023,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3599" name="Reshape_15632_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 640, 1, 1" offset="1681417682" size="1280" />
+		<layer id="3122" name="__module.up_blocks.2.upsamplers.0.conv/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="1681396024" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -59293,7 +53034,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3600" name="Reshape_15632" type="Convert" version="opset1">
+		<layer id="3123" name="__module.up_blocks.2.upsamplers.0.conv/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -59315,7 +53056,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3601" name="/up_blocks.2/upsamplers.0/conv/Conv" type="Add" version="opset1">
+		<layer id="3124" name="__module.up_blocks.2.upsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59332,7 +53073,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.2/upsamplers.0/conv/Conv_output_0">
+				<port id="2" precision="FP32" names="3287,hidden_states.579">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>64</dim>
@@ -59340,7 +53081,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3602" name="/up_blocks.3/Concat" type="Concat" version="opset1">
+		<layer id="3125" name="__module.up_blocks.3/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59357,7 +53098,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/Concat_output_0">
+				<port id="2" precision="FP32" names="3320,input.497">
 					<dim>1</dim>
 					<dim>960</dim>
 					<dim>64</dim>
@@ -59365,8 +53106,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3603" name="up_blocks.3.resnets.0.conv_shortcut.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 960, 1, 1" offset="1681418962" size="614400" />
+		<layer id="3126" name="self.up_blocks.3.resnets.0.conv_shortcut.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 960, 1, 1" offset="1681397304" size="614400" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -59376,7 +53117,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3604" name="up_blocks.3.resnets.0.conv_shortcut.weight" type="Convert" version="opset1">
+		<layer id="3127" name="self.up_blocks.3.resnets.0.conv_shortcut.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -59390,7 +53131,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.3.resnets.0.conv_shortcut.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.3.resnets.0.conv_shortcut.weight">
 					<dim>320</dim>
 					<dim>960</dim>
 					<dim>1</dim>
@@ -59398,7 +53139,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3605" name="/up_blocks.3/resnets.0/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="3128" name="__module.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59423,8 +53164,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3606" name="Reshape_16016_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 320, 1, 1" offset="1682033362" size="640" />
+		<layer id="3129" name="__module.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="1682011704" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -59434,7 +53175,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3607" name="Reshape_16016" type="Convert" version="opset1">
+		<layer id="3130" name="__module.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -59456,7 +53197,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3608" name="/up_blocks.3/resnets.0/conv_shortcut/Conv" type="Add" version="opset1">
+		<layer id="3131" name="__module.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59473,7 +53214,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.0/conv_shortcut/Conv_output_0">
+				<port id="2" precision="FP32" names="3366,input_tensor.23">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -59481,15 +53222,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3609" name="/up_blocks.3/resnets.0/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="3132" name="__module.up_blocks.3.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/resnets.0/norm1/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3610" name="/up_blocks.3/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+		<layer id="3133" name="__module.up_blocks.3.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59498,27 +53242,27 @@
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.0/norm1/Reshape_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>122880</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3611" name="Constant_15670" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="3134" name="__module.up_blocks.3.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3612" name="MVN_15671" type="MVN" version="opset6">
+		<layer id="3135" name="__module.up_blocks.3.resnets.0.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59526,20 +53270,20 @@
 					<dim>32</dim>
 					<dim>122880</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.0/norm1/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>122880</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3613" name="/up_blocks.3/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3136" name="__module.up_blocks.3.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -59549,12 +53293,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/up_blocks.3/resnets.0/norm1/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3614" name="/up_blocks.3/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+		<layer id="3137" name="__module.up_blocks.3.resnets.0.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59562,12 +53306,12 @@
 					<dim>32</dim>
 					<dim>122880</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.0/norm1/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>960</dim>
 					<dim>64</dim>
@@ -59575,8 +53319,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3615" name="Constant_75204_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 960, 1, 1" offset="1682034002" size="1920" />
+		<layer id="3138" name="Constant_190405_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 960, 1, 1" offset="1682012344" size="1920" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -59586,7 +53330,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3616" name="Constant_75204" type="Convert" version="opset1">
+		<layer id="3139" name="Constant_190405" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -59608,7 +53352,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3617" name="/up_blocks.3/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+		<layer id="3140" name="__module.up_blocks.3.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59625,7 +53369,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.0/norm1/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>960</dim>
 					<dim>64</dim>
@@ -59633,8 +53377,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3618" name="Constant_75205_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 960, 1, 1" offset="1682035922" size="1920" />
+		<layer id="3141" name="Constant_190406_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 960, 1, 1" offset="1682014264" size="1920" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -59644,7 +53388,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3619" name="Constant_75205" type="Convert" version="opset1">
+		<layer id="3142" name="Constant_190406" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -59666,7 +53410,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3620" name="/up_blocks.3/resnets.0/norm1/Add" type="Add" version="opset1">
+		<layer id="3143" name="__module.up_blocks.3.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59683,7 +53427,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.0/norm1/Add_output_0">
+				<port id="2" precision="FP32" names="3330,input.499">
 					<dim>1</dim>
 					<dim>960</dim>
 					<dim>64</dim>
@@ -59691,7 +53435,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3621" name="/up_blocks.3/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="3144" name="__module.conv_act/aten::silu/Swish_58" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -59701,7 +53445,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.3/resnets.0/nonlinearity/Mul_output_0">
+				<port id="1" precision="FP32" names="3331,hidden_states.581">
 					<dim>1</dim>
 					<dim>960</dim>
 					<dim>64</dim>
@@ -59709,8 +53453,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3622" name="up_blocks.3.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 960, 3, 3" offset="1682037842" size="5529600" />
+		<layer id="3145" name="self.up_blocks.3.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 960, 3, 3" offset="1682016184" size="5529600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -59720,7 +53464,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3623" name="up_blocks.3.resnets.0.conv1.weight" type="Convert" version="opset1">
+		<layer id="3146" name="self.up_blocks.3.resnets.0.conv1.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -59734,7 +53478,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.3.resnets.0.conv1.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.3.resnets.0.conv1.weight">
 					<dim>320</dim>
 					<dim>960</dim>
 					<dim>3</dim>
@@ -59742,7 +53486,7 @@
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 			</output>
 		</layer>
-		<layer id="3624" name="/up_blocks.3/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
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 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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+			<data destination_type="f32" />
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@@ -59778,7 +53840,7 @@
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 		</layer>
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 		</layer>
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@@ -60410,20 +54152,20 @@
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-		<layer id="3663" name="/up_blocks.3/attentions.0/norm/Shape" type="ShapeOf" version="opset3">
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+		<layer id="3186" name="__module.up_blocks.3.attentions.0.norm/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
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 				<port id="0" precision="FP32">
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@@ -60433,12 +54175,12 @@
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 			<output>
-				<port id="1" precision="I64" names="/up_blocks.3/attentions.0/norm/Shape_output_0">
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@@ -60446,12 +54188,12 @@
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 					<dim>40960</dim>
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-				<port id="1" precision="I64">
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@@ -60459,8 +54201,8 @@
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-		<layer id="3666" name="Constant_75209" type="Convert" version="opset1">
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@@ -60492,7 +54234,7 @@
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@@ -60509,7 +54251,7 @@
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@@ -60528,7 +54270,7 @@
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-		<layer id="3669" name="Constant_75210" type="Convert" version="opset1">
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@@ -60567,7 +54309,7 @@
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+				<port id="2" precision="FP32" names="3381,hidden_states.591">
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@@ -60575,8 +54317,8 @@
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@@ -60586,7 +54328,7 @@
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@@ -60600,7 +54342,7 @@
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@@ -60633,8 +54375,8 @@
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-			<data element_type="f16" shape="1, 320, 1, 1" offset="1690439122" size="640" />
+		<layer id="3197" name="__module.up_blocks.3.attentions.0.proj_in/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="1690417464" size="640" />
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 				<port id="0" precision="FP16">
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@@ -60644,7 +54386,7 @@
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 		</layer>
-		<layer id="3675" name="Reshape_16179" type="Convert" version="opset1">
+		<layer id="3198" name="__module.up_blocks.3.attentions.0.proj_in/aten::_convolution/Reshape" type="Convert" version="opset1">
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@@ -60666,7 +54408,7 @@
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 		</layer>
-		<layer id="3676" name="/up_blocks.3/attentions.0/proj_in/Conv" type="Add" version="opset1">
+		<layer id="3199" name="__module.up_blocks.3.attentions.0.proj_in/aten::_convolution/Add" type="Add" version="opset1">
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@@ -60683,7 +54425,7 @@
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/proj_in/Conv_output_0">
+				<port id="2" precision="FP32" names="3388,hidden_states.593">
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 					<dim>320</dim>
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@@ -60691,15 +54433,15 @@
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-		<layer id="3677" name="Constant_16207" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9116592" size="32" />
+		<layer id="3200" name="Constant_86643" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="8841984" size="32" />
 			<output>
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+				<port id="0" precision="I64" names="3390">
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-		<layer id="3678" name="/up_blocks.3/attentions.0/Transpose" type="Transpose" version="opset1">
+		<layer id="3201" name="__module.up_blocks.3.attentions.0/aten::permute/Transpose" type="Transpose" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -60712,7 +54454,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/Transpose_output_0">
+				<port id="2" precision="FP32" names="3391">
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 					<dim>64</dim>
 					<dim>64</dim>
@@ -60720,15 +54462,18 @@
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-			<data element_type="i64" shape="3" offset="9116624" size="24" />
+		<layer id="3202" name="Constant_196374" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="8842016" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/Constant_output_0">
+				<port id="0" precision="I64">
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 		</layer>
-		<layer id="3680" name="/up_blocks.3/attentions.0/Reshape" type="Reshape" version="opset1">
+		<layer id="3203" name="__module.up_blocks.3.attentions.0/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -60742,22 +54487,22 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/Reshape_output_0">
+				<port id="2" precision="FP32" names="3395,hidden_states.595">
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 					<dim>4096</dim>
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-		<layer id="3681" name="Constant_16216" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="3204" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
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-		<layer id="3682" name="/up_blocks.3/attentions.0/transformer_blocks.0/norm1/Div" type="MVN" version="opset6">
+		<layer id="3205" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -60765,20 +54510,20 @@
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 					<dim>320</dim>
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-				<port id="1" precision="I64">
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 			<output>
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 					<dim>4096</dim>
 					<dim>320</dim>
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-			<data element_type="f16" shape="1, 1, 320" offset="1690439762" size="640" />
+		<layer id="3206" name="Constant_190412_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1690418104" size="640" />
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 				<port id="0" precision="FP16">
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@@ -60787,7 +54532,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3684" name="Constant_75211" type="Convert" version="opset1">
+		<layer id="3207" name="Constant_190412" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -60807,7 +54552,7 @@
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 		</layer>
-		<layer id="3685" name="/up_blocks.3/attentions.0/transformer_blocks.0/norm1/Mul" type="Multiply" version="opset1">
+		<layer id="3208" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -60822,15 +54567,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/norm1/Mul_output_0">
+				<port id="2" precision="FP32">
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 					<dim>4096</dim>
 					<dim>320</dim>
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-		<layer id="3686" name="Constant_75212_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="1690440402" size="640" />
+		<layer id="3209" name="Constant_190413_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1690418744" size="640" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -60839,7 +54584,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3687" name="Constant_75212" type="Convert" version="opset1">
+		<layer id="3210" name="Constant_190413" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -60859,7 +54604,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3688" name="/up_blocks.3/attentions.0/transformer_blocks.0/norm1/Add_1" type="Add" version="opset1">
+		<layer id="3211" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -60874,15 +54619,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/norm1/Add_1_output_0">
+				<port id="2" precision="FP32" names="3405,hidden_states.597">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
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-		<layer id="3689" name="Constant_74006_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320" offset="1690441042" size="204800" />
+		<layer id="3212" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_q.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="1690419384" size="204800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -60890,7 +54635,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3690" name="Constant_74006" type="Convert" version="opset1">
+		<layer id="3213" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_q.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -60902,13 +54647,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_q.weight">
 					<dim>320</dim>
 					<dim>320</dim>
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 		</layer>
-		<layer id="3691" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+		<layer id="3214" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -60922,22 +54667,25 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+				<port id="2" precision="FP32" names="3413,query.105">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
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 		</layer>
-		<layer id="3692" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322736" size="32" />
+		<layer id="3215" name="Constant_196375" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="9048124" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_output_0">
+				<port id="0" precision="I64">
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 		</layer>
-		<layer id="3693" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
+		<layer id="3216" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -60950,7 +54698,7 @@
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Reshape_output_0">
+				<port id="2" precision="FP32" names="3425">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>8</dim>
@@ -60958,15 +54706,15 @@
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 		</layer>
-		<layer id="3694" name="Constant_16239" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="3217" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="3695" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+		<layer id="3218" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -60974,50 +54722,21 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
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 			<output>
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-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
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-		<layer id="3696" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_1_output_0">
-					<dim>3</dim>
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-		</layer>
-		<layer id="3697" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="3426,query.107">
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 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>40</dim>
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-				<port id="1" precision="I64">
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-			<output>
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-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
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 			</output>
 		</layer>
-		<layer id="3698" name="Constant_74013_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320" offset="1690645842" size="204800" />
+		<layer id="3219" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="1690624184" size="204800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -61025,7 +54744,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3699" name="Constant_74013" type="Convert" version="opset1">
+		<layer id="3220" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -61037,13 +54756,13 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_k.weight">
 					<dim>320</dim>
 					<dim>320</dim>
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 		</layer>
-		<layer id="3700" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="3221" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
@@ -61057,22 +54776,25 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="3415,key.105">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
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-		<layer id="3701" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322736" size="32" />
+		<layer id="3222" name="Constant_196376" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="9048124" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
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 		</layer>
-		<layer id="3702" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+		<layer id="3223" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
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@@ -61085,7 +54807,7 @@
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="3428">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>8</dim>
@@ -61093,15 +54815,15 @@
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-		<layer id="3703" name="Constant_16255" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="3224" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="3704" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3225" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -61109,12 +54831,12 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="3429,key.107">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
@@ -61122,128 +54844,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3705" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9322800" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_3_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3706" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Reshape_3_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3707" name="Constant_75213_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="9527624" size="2" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3708" name="Constant_75213" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3709" name="Multiply_74279" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3710" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Mul_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>4096</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3711" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>4096</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Softmax_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>4096</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3712" name="Constant_74020_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320" offset="1690850642" size="204800" />
+		<layer id="3226" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="1690828984" size="204800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -61251,7 +54853,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3713" name="Constant_74020" type="Convert" version="opset1">
+		<layer id="3227" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -61263,13 +54865,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_v.weight">
 					<dim>320</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3714" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="3228" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61283,22 +54885,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="3417,value.105">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3715" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322736" size="32" />
+		<layer id="3229" name="Constant_196377" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="9048124" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3716" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Reshape_4" type="Reshape" version="opset1">
+		<layer id="3230" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61311,7 +54916,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="3431">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>8</dim>
@@ -61319,15 +54924,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3717" name="Constant_16271" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="3231" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3718" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+		<layer id="3232" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -61335,12 +54940,12 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="3432,value.107">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
@@ -61348,16 +54953,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3719" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9322800" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_5_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3720" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3233" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -61365,62 +54962,21 @@
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Reshape_5_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3721" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>4096</dim>
-				</port>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/MatMul_1_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3722" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9732426" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_7_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3723" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Reshape_6_output_0">
+				<port id="3" precision="FP32" names="3433,hidden_states.599">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
@@ -61428,15 +54984,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3724" name="Constant_16294" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="3234" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3725" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Transpose_4" type="Transpose" version="opset1">
+		<layer id="3235" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -61444,12 +55000,12 @@
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="3434">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>8</dim>
@@ -61457,15 +55013,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3726" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9116624" size="24" />
+		<layer id="3236" name="Constant_196378" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="9457772" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_8_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3727" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Reshape_7" type="Reshape" version="opset1">
+		<layer id="3237" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61479,15 +55038,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Reshape_7_output_0">
+				<port id="2" precision="FP32" names="3438,3439,hidden_states.601,input.509">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3728" name="Constant_74027_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320" offset="1691055442" size="204800" />
+		<layer id="3238" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="1691033784" size="204800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -61495,7 +55054,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3729" name="Constant_74027" type="Convert" version="opset1">
+		<layer id="3239" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -61507,13 +55066,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_out.0.weight">
 					<dim>320</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3730" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="3240" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61527,36 +55086,44 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3731" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
+		<layer id="3241" name="Constant_190414_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1691238584" size="640" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>320</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="3242" name="Constant_190414" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
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-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+				<port id="1" precision="FP32">
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 		</layer>
-		<layer id="3732" name="/up_blocks.3/attentions.0/transformer_blocks.0/Add" type="Add" version="opset1">
+		<layer id="3243" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -61566,100 +55133,70 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>4096</dim>
+					<dim>1</dim>
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/Add_output_0">
+				<port id="2" precision="FP32" names="3442,3444,attn_output.53,input.511">
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 					<dim>4096</dim>
 					<dim>320</dim>
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 		</layer>
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-		</layer>
-		<layer id="3734" name="/up_blocks.3/attentions.0/transformer_blocks.0/norm2/Div" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="3244" name="__module.up_blocks.3.attentions.0.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/norm2/Div_output_0">
+				<port id="2" precision="FP32" names="3445,input.513">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
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 		</layer>
-		<layer id="3735" name="Constant_75215_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="1691260242" size="640" />
+		<layer id="3245" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
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-					<dim>1</dim>
-					<dim>320</dim>
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-		<layer id="3736" name="Constant_75215" type="Convert" version="opset1">
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-				<attribute name="decompression" version="0" />
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-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="3737" name="/up_blocks.3/attentions.0/transformer_blocks.0/norm2/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3246" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/norm2/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
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 		</layer>
-		<layer id="3738" name="Constant_75216_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="1691260882" size="640" />
+		<layer id="3247" name="Constant_190415_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1691239224" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -61668,7 +55205,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3739" name="Constant_75216" type="Convert" version="opset1">
+		<layer id="3248" name="Constant_190415" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -61688,7 +55225,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3740" name="/up_blocks.3/attentions.0/transformer_blocks.0/norm2/Add_1" type="Add" version="opset1">
+		<layer id="3249" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61703,42 +55240,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/norm2/Add_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
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-		<layer id="3741" name="Constant_74035_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320" offset="1691261522" size="204800" />
+		<layer id="3250" name="Constant_190416_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1691239864" size="640" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3742" name="Constant_74035" type="Convert" version="opset1">
+		<layer id="3251" name="Constant_190416" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>320</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3743" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
+		<layer id="3252" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -61746,107 +55286,119 @@
 					<dim>320</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>320</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+				<port id="2" precision="FP32" names="3449,input.515">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3744" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322736" size="32" />
+		<layer id="3253" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_q.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="1691240504" size="204800" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant_output_0">
-					<dim>4</dim>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3745" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3254" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_q.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_q.weight">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3255" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Reshape_output_0">
+				<port id="2" precision="FP32" names="3457,query.109">
 					<dim>1</dim>
 					<dim>4096</dim>
-					<dim>8</dim>
-					<dim>40</dim>
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-			</output>
-		</layer>
-		<layer id="3746" name="Constant_16329" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3747" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+		<layer id="3256" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
-					<dim>8</dim>
-					<dim>40</dim>
+					<dim>320</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Transpose_output_0">
+				<port id="2" precision="FP32" names="3469">
 					<dim>1</dim>
-					<dim>8</dim>
 					<dim>4096</dim>
+					<dim>8</dim>
 					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3748" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9322800" size="24" />
+		<layer id="3257" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant_1_output_0">
-					<dim>3</dim>
+				<port id="0" precision="I32">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3749" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3258" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>8</dim>
 					<dim>4096</dim>
+					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="3470,query.111">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3750" name="Constant_74042_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 768" offset="1691466322" size="491520" />
+		<layer id="3259" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 768" offset="1691445304" size="491520" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -61854,7 +55406,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3751" name="Constant_74042" type="Convert" version="opset1">
+		<layer id="3260" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -61866,13 +55418,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_k.weight">
 					<dim>320</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3752" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="3261" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61886,22 +55438,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="3459,key.109">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3753" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="10634858" size="32" />
+		<layer id="3262" name="Constant_196379" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="9048124" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3754" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+		<layer id="3263" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61914,7 +55469,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="3472">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -61922,15 +55477,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3755" name="Constant_16345" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="3264" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3756" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3265" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -61938,141 +55493,21 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Transpose_1_output_0">
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-				<port id="1" precision="I64">
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-					<dim>40</dim>
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-		<layer id="3759" name="Constant_75217_compressed" type="Const" version="opset1">
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-		<layer id="3760" name="Constant_75217" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
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-		<layer id="3761" name="Multiply_74281" type="Multiply" version="opset1">
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-			<input>
-				<port id="0" precision="FP32">
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-					<dim>77</dim>
-					<dim>40</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3473,key.111">
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-					<dim>1</dim>
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-			</input>
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 			</output>
 		</layer>
-		<layer id="3762" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
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-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>40</dim>
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-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Mul_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3763" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>77</dim>
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-			<output>
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-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>77</dim>
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-			</output>
-		</layer>
-		<layer id="3764" name="Constant_74049_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 768" offset="1691957842" size="491520" />
+		<layer id="3266" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 768" offset="1691936824" size="491520" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -62080,7 +55515,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3765" name="Constant_74049" type="Convert" version="opset1">
+		<layer id="3267" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -62092,13 +55527,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_v.weight">
 					<dim>320</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3766" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="3268" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -62112,22 +55547,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="3461,value.109">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3767" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="10634858" size="32" />
+		<layer id="3269" name="Constant_196380" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="9048124" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3768" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Reshape_4" type="Reshape" version="opset1">
+		<layer id="3270" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
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@@ -62140,7 +55578,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="3475">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -62148,15 +55586,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3769" name="Constant_16361" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="3271" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="3770" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+		<layer id="3272" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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@@ -62164,12 +55602,12 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="3476,value.111">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
@@ -62177,79 +55615,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3771" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="10634890" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant_5_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3772" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3273" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>40</dim>
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-				<port id="1" precision="I64">
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-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Reshape_5_output_0">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3773" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
 					<dim>8</dim>
 					<dim>4096</dim>
-					<dim>77</dim>
+					<dim>40</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>40</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/MatMul_1_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3774" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9732426" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant_7_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3775" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
-					<dim>4096</dim>
+					<dim>77</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Reshape_6_output_0">
+				<port id="3" precision="FP32" names="3477,hidden_states.605">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
@@ -62257,15 +55646,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3776" name="Constant_16384" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="3274" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3777" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Transpose_4" type="Transpose" version="opset1">
+		<layer id="3275" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -62273,12 +55662,12 @@
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="3478">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>8</dim>
@@ -62286,15 +55675,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3778" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9116624" size="24" />
+		<layer id="3276" name="Constant_196381" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="9457772" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant_8_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3779" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Reshape_7" type="Reshape" version="opset1">
+		<layer id="3277" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62308,15 +55700,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Reshape_7_output_0">
+				<port id="2" precision="FP32" names="3482,3483,hidden_states.607,input.517">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3780" name="Constant_74056_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320" offset="1692449362" size="204800" />
+		<layer id="3278" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="1692428344" size="204800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -62324,7 +55716,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3781" name="Constant_74056" type="Convert" version="opset1">
+		<layer id="3279" name="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -62336,13 +55728,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_out.0.weight">
 					<dim>320</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3782" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="3280" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62356,36 +55748,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3783" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3281" name="Constant_190417_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1692633144" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3282" name="Constant_190417" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>320</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3283" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
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 					<dim>4096</dim>
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 		</layer>
-		<layer id="3784" name="/up_blocks.3/attentions.0/transformer_blocks.0/Add_1" type="Add" version="opset1">
+		<layer id="3284" name="__module.up_blocks.3.attentions.0.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -62400,22 +55822,22 @@
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 			<output>
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 					<dim>4096</dim>
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-		<layer id="3785" name="Constant_16396" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="3285" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
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 		</layer>
-		<layer id="3786" name="/up_blocks.3/attentions.0/transformer_blocks.0/norm3/Div" type="MVN" version="opset6">
+		<layer id="3286" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -62423,20 +55845,20 @@
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
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 					<dim>4096</dim>
 					<dim>320</dim>
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-			<data element_type="f16" shape="1, 1, 320" offset="1692654162" size="640" />
+		<layer id="3287" name="Constant_190418_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1692633784" size="640" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -62445,7 +55867,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3788" name="Constant_75219" type="Convert" version="opset1">
+		<layer id="3288" name="Constant_190418" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -62465,7 +55887,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3789" name="/up_blocks.3/attentions.0/transformer_blocks.0/norm3/Mul" type="Multiply" version="opset1">
+		<layer id="3289" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62480,15 +55902,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/norm3/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
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 			</output>
 		</layer>
-		<layer id="3790" name="Constant_75220_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="1692654802" size="640" />
+		<layer id="3290" name="Constant_190419_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1692634424" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -62497,7 +55919,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3791" name="Constant_75220" type="Convert" version="opset1">
+		<layer id="3291" name="Constant_190419" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -62517,7 +55939,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3792" name="/up_blocks.3/attentions.0/transformer_blocks.0/norm3/Add_1" type="Add" version="opset1">
+		<layer id="3292" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -62532,15 +55954,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/norm3/Add_1_output_0">
+				<port id="2" precision="FP32" names="3493,input.523">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
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 			</output>
 		</layer>
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-			<data element_type="f16" shape="2560, 320" offset="1692655442" size="1638400" />
+		<layer id="3293" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0.proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 320" offset="1692635064" size="1638400" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -62548,7 +55970,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3794" name="Constant_74064" type="Convert" version="opset1">
+		<layer id="3294" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0.proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -62560,13 +55982,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0.proj.weight">
 					<dim>2560</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3795" name="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul" type="MatMul" version="opset1">
+		<layer id="3295" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62580,349 +56002,226 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul_output_0">
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 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
+		<layer id="3296" name="Constant_190420_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="1694273464" size="5120" />
+			<output>
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 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="3297" name="Constant_190420" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
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 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/proj/Add_output_0">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
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-					<dim>2560</dim>
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-				<port id="0" precision="I64">
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-			<output>
-				<port id="0" precision="I64">
 					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data output_type="i64" />
+		<layer id="3298" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
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 					<dim>4096</dim>
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-			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Constant_output_0">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
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-		<layer id="3802" name="Constant_16413" type="Const" version="opset1">
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-					<dim>3</dim>
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-				<port id="1" precision="I64">
 					<dim>1</dim>
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 			<output>
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-			<data element_type="i64" shape="1" offset="2143392" size="8" />
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 			<output>
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-					<dim>1</dim>
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+				<port id="0" precision="I64" names="3292" />
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-			<data auto_broadcast="numpy" />
+		<layer id="3300" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
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 			<input>
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-				<port id="1" precision="I64">
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+		<layer id="3301" name="Constant_113343" type="Const" version="opset1">
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 			<output>
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-			<data auto_broadcast="numpy" m_pythondiv="true" />
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+				<port id="0" precision="BOOL">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3814" name="Constant_66650" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="12970946" size="4" />
+			</input>
 			<output>
-				<port id="0" precision="I32">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3815" name="ScatterUpdate_66653" type="ScatterUpdate" version="opset3">
+		<layer id="3308" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
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-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3816" name="Constant_66654" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="12970914" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3817" name="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Constant_5_output_0">
+				<port id="2" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3818" name="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Mul_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="3309" name="Constant_113344" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="2" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Mul_1_output_0">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3819" name="ScatterUpdate_66655" type="ScatterUpdate" version="opset3">
+		<layer id="3310" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3820" name="Constant_66658" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="12970950" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="2" precision="I32">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3821" name="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3311" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>2</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Slice_1_output_0">
+				<port id="3" precision="FP32" names="3503,hidden_states.611">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="4" precision="FP32" names="3504,gate.27">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3822" name="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+		<layer id="3312" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62932,14 +56231,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+				<port id="1" precision="FP32" names="3505">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3823" name="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+		<layer id="3313" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62954,15 +56253,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+				<port id="2" precision="FP32" names="3506,input.525">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3824" name="Constant_74072_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1280" offset="1694293842" size="819200" />
+		<layer id="3314" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1280" offset="1694278584" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -62970,7 +56269,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3825" name="Constant_74072" type="Convert" version="opset1">
+		<layer id="3315" name="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -62982,13 +56281,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.2.weight">
 					<dim>320</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3826" name="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+		<layer id="3316" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63002,36 +56301,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.2/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3827" name="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3317" name="Constant_190421_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1695097784" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3318" name="Constant_190421" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>320</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3319" name="__module.up_blocks.3.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.2/Add_output_0">
+				<port id="2" precision="FP32" names="3510,ff_output.27">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3828" name="/up_blocks.3/attentions.0/transformer_blocks.0/Add_2" type="Add" version="opset1">
+		<layer id="3320" name="__module.up_blocks.3.attentions.0.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63046,23 +56375,135 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/Add_2_output_0">
+				<port id="2" precision="FP32" names="3511,hidden_states.613">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3829" name="/up_blocks.3/attentions.0/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="13790174" size="32" />
+		<layer id="3321" name="Constant_194396" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3322" name="Constant_194397" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/Constant_1_output_0">
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3323" name="Gather_194398" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="193,230,3374,3411">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3830" name="/up_blocks.3/attentions.0/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3324" name="ShapeOf_195917" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3325" name="Constant_196686" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="1186481448" size="16" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3326" name="Constant_196687" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3327" name="Gather_196688" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3328" name="__module.up_blocks.3.attentions.0/prim::ListConstruct/Reshape_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="13522488" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3329" name="__module.up_blocks.3.attentions.0/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="I64" names="3512">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3330" name="__module.up_blocks.3.attentions.0/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -63074,7 +56515,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="3513">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>64</dim>
@@ -63082,15 +56523,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3831" name="Constant_16578" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="13790206" size="32" />
+		<layer id="3331" name="Constant_87344" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="13522496" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="3514">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3832" name="/up_blocks.3/attentions.0/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3332" name="__module.up_blocks.3.attentions.0/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -63103,7 +56544,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="3515">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -63111,8 +56552,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3833" name="up_blocks.3.attentions.0.proj_out.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320, 1, 1" offset="1695113042" size="204800" />
+		<layer id="3333" name="self.up_blocks.3.attentions.0.proj_out.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320, 1, 1" offset="1695098424" size="204800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -63122,7 +56563,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3834" name="up_blocks.3.attentions.0.proj_out.weight" type="Convert" version="opset1">
+		<layer id="3334" name="self.up_blocks.3.attentions.0.proj_out.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -63136,7 +56577,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.3.attentions.0.proj_out.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.0.proj_out.weight">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -63144,7 +56585,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3835" name="/up_blocks.3/attentions.0/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="3335" name="__module.up_blocks.3.attentions.0.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63169,8 +56610,8 @@
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 			</output>
 		</layer>
-		<layer id="3836" name="Reshape_16600_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 320, 1, 1" offset="1695317842" size="640" />
+		<layer id="3336" name="__module.up_blocks.3.attentions.0.proj_out/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="1695303224" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -63180,7 +56621,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3837" name="Reshape_16600" type="Convert" version="opset1">
+		<layer id="3337" name="__module.up_blocks.3.attentions.0.proj_out/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -63202,7 +56643,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3838" name="/up_blocks.3/attentions.0/proj_out/Conv" type="Add" version="opset1">
+		<layer id="3338" name="__module.up_blocks.3.attentions.0.proj_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -63219,7 +56660,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/proj_out/Conv_output_0">
+				<port id="2" precision="FP32" names="3523,hidden_states.617">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -63227,7 +56668,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3839" name="/up_blocks.3/attentions.0/Add" type="Add" version="opset1">
+		<layer id="3339" name="__module.up_blocks.3.attentions.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63244,7 +56685,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/Add_output_0">
+				<port id="2" precision="FP32" names="3524,hidden_states.619">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -63252,7 +56693,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3840" name="/up_blocks.3/Concat_1" type="Concat" version="opset1">
+		<layer id="3340" name="__module.up_blocks.3/aten::cat/Concat_1" type="Concat" version="opset1">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63269,7 +56710,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/Concat_1_output_0">
+				<port id="2" precision="FP32" names="3526,input.529">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>64</dim>
@@ -63277,8 +56718,8 @@
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 		</layer>
-		<layer id="3841" name="up_blocks.3.resnets.1.conv_shortcut.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 640, 1, 1" offset="1695318482" size="409600" />
+		<layer id="3341" name="self.up_blocks.3.resnets.1.conv_shortcut.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 640, 1, 1" offset="1695303864" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -63288,7 +56729,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3842" name="up_blocks.3.resnets.1.conv_shortcut.weight" type="Convert" version="opset1">
+		<layer id="3342" name="self.up_blocks.3.resnets.1.conv_shortcut.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -63302,7 +56743,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.3.resnets.1.conv_shortcut.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.3.resnets.1.conv_shortcut.weight">
 					<dim>320</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -63310,7 +56751,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3843" name="/up_blocks.3/resnets.1/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="3343" name="__module.up_blocks.3.resnets.1.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63335,8 +56776,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3844" name="Reshape_16985_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 320, 1, 1" offset="1695728082" size="640" />
+		<layer id="3344" name="__module.up_blocks.3.resnets.1.conv_shortcut/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="1695713464" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -63346,7 +56787,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3845" name="Reshape_16985" type="Convert" version="opset1">
+		<layer id="3345" name="__module.up_blocks.3.resnets.1.conv_shortcut/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -63368,7 +56809,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3846" name="/up_blocks.3/resnets.1/conv_shortcut/Conv" type="Add" version="opset1">
+		<layer id="3346" name="__module.up_blocks.3.resnets.1.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63385,7 +56826,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/conv_shortcut/Conv_output_0">
+				<port id="2" precision="FP32" names="3572,input_tensor.25">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -63393,15 +56834,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3847" name="/up_blocks.3/resnets.1/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="3347" name="__module.up_blocks.3.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/resnets.1/norm1/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3848" name="/up_blocks.3/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+		<layer id="3348" name="__module.up_blocks.3.resnets.1.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63410,27 +56854,27 @@
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/norm1/Reshape_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>81920</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3849" name="Constant_16639" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="3349" name="__module.up_blocks.3.resnets.1.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="3850" name="MVN_16640" type="MVN" version="opset6">
+		<layer id="3350" name="__module.up_blocks.3.resnets.1.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63438,20 +56882,20 @@
 					<dim>32</dim>
 					<dim>81920</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/norm1/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>81920</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3851" name="/up_blocks.3/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3351" name="__module.up_blocks.3.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -63461,12 +56905,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/up_blocks.3/resnets.1/norm1/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3852" name="/up_blocks.3/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+		<layer id="3352" name="__module.up_blocks.3.resnets.1.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63474,12 +56918,12 @@
 					<dim>32</dim>
 					<dim>81920</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/norm1/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>64</dim>
@@ -63487,8 +56931,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3853" name="Constant_75223_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 640, 1, 1" offset="1695728722" size="1280" />
+		<layer id="3353" name="Constant_190422_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="1695714104" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -63498,7 +56942,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3854" name="Constant_75223" type="Convert" version="opset1">
+		<layer id="3354" name="Constant_190422" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -63520,7 +56964,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3855" name="/up_blocks.3/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+		<layer id="3355" name="__module.up_blocks.3.resnets.1.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63537,7 +56981,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/norm1/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>64</dim>
@@ -63545,8 +56989,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3856" name="Constant_75224_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 640, 1, 1" offset="1695730002" size="1280" />
+		<layer id="3356" name="Constant_190423_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="1695715384" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -63556,7 +57000,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3857" name="Constant_75224" type="Convert" version="opset1">
+		<layer id="3357" name="Constant_190423" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -63578,7 +57022,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3858" name="/up_blocks.3/resnets.1/norm1/Add" type="Add" version="opset1">
+		<layer id="3358" name="__module.up_blocks.3.resnets.1.norm1/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63595,7 +57039,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/norm1/Add_output_0">
+				<port id="2" precision="FP32" names="3536,input.531">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>64</dim>
@@ -63603,7 +57047,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3859" name="/up_blocks.3/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="3359" name="__module.conv_act/aten::silu/Swish_61" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -63613,7 +57057,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.3/resnets.1/nonlinearity/Mul_output_0">
+				<port id="1" precision="FP32" names="3537,hidden_states.621">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>64</dim>
@@ -63621,8 +57065,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3860" name="up_blocks.3.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 640, 3, 3" offset="1695731282" size="3686400" />
+		<layer id="3360" name="self.up_blocks.3.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 640, 3, 3" offset="1695716664" size="3686400" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -63632,7 +57076,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3861" name="up_blocks.3.resnets.1.conv1.weight" type="Convert" version="opset1">
+		<layer id="3361" name="self.up_blocks.3.resnets.1.conv1.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -63646,7 +57090,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.3.resnets.1.conv1.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.3.resnets.1.conv1.weight">
 					<dim>320</dim>
 					<dim>640</dim>
 					<dim>3</dim>
@@ -63654,7 +57098,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3862" name="/up_blocks.3/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="3362" name="__module.up_blocks.3.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63679,8 +57123,8 @@
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 			</output>
 		</layer>
-		<layer id="3863" name="Reshape_16764_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 320, 1, 1" offset="1699417682" size="640" />
+		<layer id="3363" name="__module.up_blocks.3.resnets.1.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="1699403064" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -63690,7 +57134,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3864" name="Reshape_16764" type="Convert" version="opset1">
+		<layer id="3364" name="__module.up_blocks.3.resnets.1.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -63712,7 +57156,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3865" name="/up_blocks.3/resnets.1/conv1/Conv" type="Add" version="opset1">
+		<layer id="3365" name="__module.up_blocks.3.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63729,7 +57173,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/conv1/Conv_output_0">
+				<port id="2" precision="FP32" names="3544,hidden_states.623">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -63737,8 +57181,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3866" name="up_blocks.3.resnets.1.time_emb_proj.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1280" offset="1699418322" size="819200" />
+		<layer id="3366" name="self.up_blocks.3.resnets.1.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1280" offset="1699403704" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -63746,7 +57190,7 @@
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 		</layer>
-		<layer id="3867" name="up_blocks.3.resnets.1.time_emb_proj.weight" type="Convert" version="opset1">
+		<layer id="3367" name="self.up_blocks.3.resnets.1.time_emb_proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -63758,13 +57202,13 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.3.resnets.1.time_emb_proj.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.3.resnets.1.time_emb_proj.weight">
 					<dim>320</dim>
 					<dim>1280</dim>
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 		</layer>
-		<layer id="3868" name="/up_blocks.3/resnets.1/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+		<layer id="3368" name="__module.up_blocks.3.resnets.1.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -63783,8 +57227,8 @@
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 		</layer>
-		<layer id="3869" name="Constant_75225_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 320" offset="1700237522" size="640" />
+		<layer id="3369" name="Constant_190424_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320" offset="1700222904" size="640" />
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@@ -63792,7 +57236,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3870" name="Constant_75225" type="Convert" version="opset1">
+		<layer id="3370" name="Constant_190424" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -63810,7 +57254,7 @@
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 			</output>
 		</layer>
-		<layer id="3871" name="/up_blocks.3/resnets.1/time_emb_proj/Gemm" type="Add" version="opset1">
+		<layer id="3371" name="__module.up_blocks.3.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -63823,59 +57267,39 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/time_emb_proj/Gemm_output_0">
+				<port id="2" precision="FP32" names="3548,3549,3550">
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 					<dim>320</dim>
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-		<layer id="3872" name="/up_blocks.3/resnets.1/Constant" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/resnets.1/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3873" name="/up_blocks.3/resnets.1/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="3372" name="__module.up_blocks.3.resnets.1/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>320</dim>
 				</port>
-				<port id="1" precision="I64">
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+				<port id="1" precision="I64" />
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/Unsqueeze_output_0">
+				<port id="2" precision="FP32" names="3551">
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 					<dim>320</dim>
 					<dim>1</dim>
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-		<layer id="3874" name="/up_blocks.3/resnets.1/Constant_1" type="Const" version="opset1">
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-					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="3875" name="/up_blocks.3/resnets.1/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="3373" name="__module.up_blocks.3.resnets.1/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>1</dim>
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-				<port id="1" precision="I64">
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+				<port id="1" precision="I64" />
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/Unsqueeze_1_output_0">
+				<port id="2" precision="FP32" names="3552,temb.41">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>1</dim>
@@ -63883,7 +57307,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3876" name="/up_blocks.3/resnets.1/Add" type="Add" version="opset1">
+		<layer id="3374" name="__module.up_blocks.3.resnets.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -63900,7 +57324,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/Add_output_0">
+				<port id="2" precision="FP32" names="3553,input.535">
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 					<dim>320</dim>
 					<dim>64</dim>
@@ -63908,15 +57332,18 @@
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 		</layer>
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-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="3375" name="__module.up_blocks.3.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/resnets.1/norm2/Constant_output_0">
+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="3878" name="/up_blocks.3/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+		<layer id="3376" name="__module.up_blocks.3.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63925,27 +57352,27 @@
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 					<dim>64</dim>
 				</port>
-				<port id="1" precision="I64">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/norm2/Reshape_output_0">
+				<port id="2" precision="FP32">
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 					<dim>32</dim>
 					<dim>40960</dim>
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 			</output>
 		</layer>
-		<layer id="3879" name="Constant_16812" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="3377" name="__module.up_blocks.3.resnets.1.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="3880" name="MVN_16813" type="MVN" version="opset6">
+		<layer id="3378" name="__module.up_blocks.3.resnets.1.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63953,20 +57380,20 @@
 					<dim>32</dim>
 					<dim>40960</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/norm2/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>40960</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3881" name="/up_blocks.3/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3379" name="__module.up_blocks.3.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -63976,12 +57403,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/up_blocks.3/resnets.1/norm2/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3882" name="/up_blocks.3/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+		<layer id="3380" name="__module.up_blocks.3.resnets.1.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63989,12 +57416,12 @@
 					<dim>32</dim>
 					<dim>40960</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/norm2/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -64002,8 +57429,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3883" name="Constant_75226_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 320, 1, 1" offset="1700238162" size="640" />
+		<layer id="3381" name="Constant_190425_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="1700223544" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -64013,7 +57440,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3884" name="Constant_75226" type="Convert" version="opset1">
+		<layer id="3382" name="Constant_190425" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -64035,7 +57462,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3885" name="/up_blocks.3/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+		<layer id="3383" name="__module.up_blocks.3.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64052,7 +57479,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/norm2/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -64060,8 +57487,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3886" name="Constant_75227_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 320, 1, 1" offset="1700238802" size="640" />
+		<layer id="3384" name="Constant_190426_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="1700224184" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -64071,7 +57498,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3887" name="Constant_75227" type="Convert" version="opset1">
+		<layer id="3385" name="Constant_190426" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -64093,7 +57520,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3888" name="/up_blocks.3/resnets.1/norm2/Add" type="Add" version="opset1">
+		<layer id="3386" name="__module.up_blocks.3.resnets.1.norm2/aten::group_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64110,7 +57537,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/norm2/Add_output_0">
+				<port id="2" precision="FP32" names="3556,input.537">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -64118,7 +57545,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3889" name="/up_blocks.3/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="3387" name="__module.conv_act/aten::silu/Swish_63" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -64128,7 +57555,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.3/resnets.1/nonlinearity_1/Mul_output_0">
+				<port id="1" precision="FP32" names="3557,input.539">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -64136,8 +57563,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3890" name="up_blocks.3.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320, 3, 3" offset="1700239442" size="1843200" />
+		<layer id="3388" name="self.up_blocks.3.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320, 3, 3" offset="1700224824" size="1843200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -64147,7 +57574,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3891" name="up_blocks.3.resnets.1.conv2.weight" type="Convert" version="opset1">
+		<layer id="3389" name="self.up_blocks.3.resnets.1.conv2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -64161,7 +57588,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.3.resnets.1.conv2.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.3.resnets.1.conv2.weight">
 					<dim>320</dim>
 					<dim>320</dim>
 					<dim>3</dim>
@@ -64169,7 +57596,7 @@
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 			</output>
 		</layer>
-		<layer id="3892" name="/up_blocks.3/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="3390" name="__module.up_blocks.3.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64194,8 +57621,8 @@
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 			</output>
 		</layer>
-		<layer id="3893" name="Reshape_16937_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 320, 1, 1" offset="1702082642" size="640" />
+		<layer id="3391" name="__module.up_blocks.3.resnets.1.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="1702068024" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -64205,7 +57632,7 @@
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 			</output>
 		</layer>
-		<layer id="3894" name="Reshape_16937" type="Convert" version="opset1">
+		<layer id="3392" name="__module.up_blocks.3.resnets.1.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -64227,7 +57654,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3895" name="/up_blocks.3/resnets.1/conv2/Conv" type="Add" version="opset1">
+		<layer id="3393" name="__module.up_blocks.3.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64244,7 +57671,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/conv2/Conv_output_0">
+				<port id="2" precision="FP32" names="3565,hidden_states.627">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -64252,7 +57679,7 @@
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 			</output>
 		</layer>
-		<layer id="3896" name="/up_blocks.3/resnets.1/Add_1" type="Add" version="opset1">
+		<layer id="3394" name="__module.up_blocks.3.resnets.1/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64269,7 +57696,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/Add_1_output_0,/up_blocks.3/resnets.1/Div_output_0">
+				<port id="2" precision="FP32" names="3573,3574,hidden_states.629">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -64277,15 +57704,18 @@
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-		<layer id="3897" name="/up_blocks.3/attentions.1/norm/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="3395" name="__module.up_blocks.3.attentions.1.norm/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/norm/Constant_output_0">
+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="3898" name="/up_blocks.3/attentions.1/norm/Reshape" type="Reshape" version="opset1">
+		<layer id="3396" name="__module.up_blocks.3.attentions.1.norm/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64294,27 +57724,27 @@
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
-				<port id="1" precision="I64">
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-			<data element_type="i64" shape="1" offset="298264" size="8" />
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-		<layer id="3900" name="MVN_17026" type="MVN" version="opset6">
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@@ -64322,20 +57752,20 @@
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+		<layer id="3399" name="__module.up_blocks.3.attentions.1.norm/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
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@@ -64358,12 +57788,12 @@
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@@ -64382,7 +57812,7 @@
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-		<layer id="3904" name="Constant_75228" type="Convert" version="opset1">
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@@ -64404,7 +57834,7 @@
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-			<data element_type="f16" shape="1, 320, 1, 1" offset="1702083922" size="640" />
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-		<layer id="3907" name="Constant_75229" type="Convert" version="opset1">
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@@ -64462,7 +57892,7 @@
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@@ -64487,8 +57917,8 @@
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-			<data element_type="f16" shape="320, 320, 1, 1" offset="1702084562" size="204800" />
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+			<data element_type="f16" shape="320, 320, 1, 1" offset="1702069944" size="204800" />
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 				<port id="0" precision="FP16">
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@@ -64498,7 +57928,7 @@
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@@ -64512,7 +57942,7 @@
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@@ -64520,7 +57950,7 @@
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@@ -64545,8 +57975,8 @@
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-			<data element_type="f16" shape="1, 320, 1, 1" offset="1702289362" size="640" />
+		<layer id="3410" name="__module.up_blocks.3.attentions.1.proj_in/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="1702274744" size="640" />
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@@ -64556,7 +57986,7 @@
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-		<layer id="3913" name="Reshape_17148" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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@@ -64578,7 +58008,7 @@
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 					<dim>320</dim>
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@@ -64603,15 +58033,15 @@
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+		<layer id="3413" name="Constant_87903" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="8841984" size="32" />
 			<output>
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-		<layer id="3916" name="/up_blocks.3/attentions.1/Transpose" type="Transpose" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -64624,7 +58054,7 @@
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-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/Transpose_output_0">
+				<port id="2" precision="FP32" names="3597">
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 					<dim>64</dim>
 					<dim>64</dim>
@@ -64632,15 +58062,18 @@
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-			<data element_type="i64" shape="3" offset="9116624" size="24" />
+		<layer id="3415" name="Constant_196382" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="8842016" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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 			<output>
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 		</layer>
-		<layer id="3918" name="/up_blocks.3/attentions.1/Reshape" type="Reshape" version="opset1">
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 			<data special_zero="true" />
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@@ -64654,22 +58087,22 @@
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-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/Reshape_output_0">
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 					<dim>4096</dim>
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+		<layer id="3417" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
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-		<layer id="3920" name="/up_blocks.3/attentions.1/transformer_blocks.0/norm1/Div" type="MVN" version="opset6">
+		<layer id="3418" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -64677,20 +58110,20 @@
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 					<dim>320</dim>
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-				<port id="1" precision="I64">
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 			<output>
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 					<dim>4096</dim>
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+		<layer id="3419" name="Constant_190429_compressed" type="Const" version="opset1">
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@@ -64699,7 +58132,7 @@
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 		</layer>
-		<layer id="3922" name="Constant_75230" type="Convert" version="opset1">
+		<layer id="3420" name="Constant_190429" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -64719,7 +58152,7 @@
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 		</layer>
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 			<data auto_broadcast="numpy" />
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@@ -64734,15 +58167,15 @@
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 					<dim>4096</dim>
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+		<layer id="3422" name="Constant_190430_compressed" type="Const" version="opset1">
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@@ -64751,7 +58184,7 @@
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-		<layer id="3925" name="Constant_75231" type="Convert" version="opset1">
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@@ -64771,7 +58204,7 @@
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@@ -64786,15 +58219,15 @@
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@@ -64802,7 +58235,7 @@
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@@ -64814,13 +58247,13 @@
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@@ -64834,22 +58267,25 @@
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+		<layer id="3428" name="Constant_196383" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="9048124" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3931" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
+		<layer id="3429" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64862,7 +58298,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Reshape_output_0">
+				<port id="2" precision="FP32" names="3631">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>8</dim>
@@ -64870,15 +58306,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3932" name="Constant_17208" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="3430" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3933" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+		<layer id="3431" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -64886,12 +58322,12 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Transpose_output_0">
+				<port id="2" precision="FP32" names="3632,query.115">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
@@ -64899,37 +58335,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3934" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9322800" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_1_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3935" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Reshape_1_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3936" name="Constant_74089_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320" offset="1702496082" size="204800" />
+		<layer id="3432" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="1702481464" size="204800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -64937,7 +58344,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3937" name="Constant_74089" type="Convert" version="opset1">
+		<layer id="3433" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -64949,13 +58356,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_k.weight">
 					<dim>320</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3938" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="3434" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64969,22 +58376,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="3621,key.113">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3939" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322736" size="32" />
+		<layer id="3435" name="Constant_196384" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="9048124" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3940" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+		<layer id="3436" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64997,7 +58407,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="3634">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>8</dim>
@@ -65005,15 +58415,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3941" name="Constant_17224" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="3437" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3942" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3438" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -65021,12 +58431,12 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="3635,key.115">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
@@ -65034,128 +58444,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3943" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9322800" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_3_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3944" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Reshape_3_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3945" name="Constant_75232_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="9527624" size="2" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3946" name="Constant_75232" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3947" name="Multiply_74283" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3948" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Mul_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>4096</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3949" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>4096</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Softmax_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>4096</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3950" name="Constant_74096_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320" offset="1702700882" size="204800" />
+		<layer id="3439" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="1702686264" size="204800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -65163,7 +58453,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3951" name="Constant_74096" type="Convert" version="opset1">
+		<layer id="3440" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -65175,13 +58465,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_v.weight">
 					<dim>320</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3952" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="3441" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65195,22 +58485,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="3623,value.113">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3953" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322736" size="32" />
+		<layer id="3442" name="Constant_196385" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="9048124" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3954" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Reshape_4" type="Reshape" version="opset1">
+		<layer id="3443" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65223,7 +58516,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="3637">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>8</dim>
@@ -65231,15 +58524,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3955" name="Constant_17240" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="3444" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3956" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+		<layer id="3445" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -65247,12 +58540,12 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="3638,value.115">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
@@ -65260,16 +58553,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3957" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9322800" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_5_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3958" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3446" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -65277,62 +58562,21 @@
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Reshape_5_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
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-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>4096</dim>
-				</port>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/MatMul_1_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3960" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9732426" size="32" />
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-				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_7_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3961" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Reshape_6_output_0">
+				<port id="3" precision="FP32" names="3639,hidden_states.639">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
@@ -65340,15 +58584,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3962" name="Constant_17263" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="3447" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 				</port>
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 		</layer>
-		<layer id="3963" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Transpose_4" type="Transpose" version="opset1">
+		<layer id="3448" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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@@ -65356,12 +58600,12 @@
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="3640">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>8</dim>
@@ -65369,15 +58613,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3964" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9116624" size="24" />
+		<layer id="3449" name="Constant_196386" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="9457772" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_8_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3965" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Reshape_7" type="Reshape" version="opset1">
+		<layer id="3450" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65391,15 +58638,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Reshape_7_output_0">
+				<port id="2" precision="FP32" names="3644,3645,hidden_states.641,input.541">
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 					<dim>4096</dim>
 					<dim>320</dim>
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 		</layer>
-		<layer id="3966" name="Constant_74103_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320" offset="1702905682" size="204800" />
+		<layer id="3451" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="1702891064" size="204800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -65407,7 +58654,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3967" name="Constant_74103" type="Convert" version="opset1">
+		<layer id="3452" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -65419,13 +58666,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0.weight">
 					<dim>320</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3968" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="3453" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65439,36 +58686,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3969" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3454" name="Constant_190431_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1703095864" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3455" name="Constant_190431" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>320</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3456" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+				<port id="2" precision="FP32" names="3648,3650,attn_output.57,input.543">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3970" name="/up_blocks.3/attentions.1/transformer_blocks.0/Add" type="Add" version="opset1">
+		<layer id="3457" name="__module.up_blocks.3.attentions.1.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65483,22 +58760,22 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/Add_output_0">
+				<port id="2" precision="FP32" names="3651,input.545">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3971" name="Constant_17275" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="3458" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3972" name="/up_blocks.3/attentions.1/transformer_blocks.0/norm2/Div" type="MVN" version="opset6">
+		<layer id="3459" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65506,20 +58783,20 @@
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/norm2/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3973" name="Constant_75234_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="1703110482" size="640" />
+		<layer id="3460" name="Constant_190432_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1703096504" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -65528,7 +58805,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3974" name="Constant_75234" type="Convert" version="opset1">
+		<layer id="3461" name="Constant_190432" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -65548,7 +58825,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3975" name="/up_blocks.3/attentions.1/transformer_blocks.0/norm2/Mul" type="Multiply" version="opset1">
+		<layer id="3462" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65563,15 +58840,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/norm2/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3976" name="Constant_75235_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="1703111122" size="640" />
+		<layer id="3463" name="Constant_190433_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1703097144" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -65580,7 +58857,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3977" name="Constant_75235" type="Convert" version="opset1">
+		<layer id="3464" name="Constant_190433" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -65600,7 +58877,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3978" name="/up_blocks.3/attentions.1/transformer_blocks.0/norm2/Add_1" type="Add" version="opset1">
+		<layer id="3465" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65615,15 +58892,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/norm2/Add_1_output_0">
+				<port id="2" precision="FP32" names="3655,input.547">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3979" name="Constant_74111_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320" offset="1703111762" size="204800" />
+		<layer id="3466" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_q.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="1703097784" size="204800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -65631,7 +58908,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3980" name="Constant_74111" type="Convert" version="opset1">
+		<layer id="3467" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_q.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -65643,13 +58920,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_q.weight">
 					<dim>320</dim>
 					<dim>320</dim>
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 			</output>
 		</layer>
-		<layer id="3981" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
+		<layer id="3468" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65663,23 +58940,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+				<port id="2" precision="FP32" names="3663,query.117">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3982" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322736" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Constant_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3983" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3469" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -65691,7 +58960,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Reshape_output_0">
+				<port id="2" precision="FP32" names="3675">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>8</dim>
@@ -65699,15 +58968,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3984" name="Constant_17298" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="3470" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 				</port>
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 		</layer>
-		<layer id="3985" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+		<layer id="3471" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -65715,12 +58984,12 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Transpose_output_0">
+				<port id="2" precision="FP32" names="3676,query.119">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
@@ -65728,263 +58997,8 @@
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-			<data element_type="f16" shape="320, 768" offset="1703808082" size="491520" />
+		<layer id="3472" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k.weight_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
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@@ -65992,7 +59006,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4003" name="Constant_74125" type="Convert" version="opset1">
+		<layer id="3473" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -66004,13 +59018,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k.weight">
 					<dim>320</dim>
 					<dim>768</dim>
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 		</layer>
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+		<layer id="3474" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
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@@ -66024,22 +59038,25 @@
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_v/MatMul_output_0">
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 		</layer>
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-			<data element_type="i64" shape="4" offset="10634858" size="32" />
+		<layer id="3475" name="Constant_196387" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="9048124" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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 			<output>
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 		</layer>
-		<layer id="4006" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Reshape_4" type="Reshape" version="opset1">
+		<layer id="3476" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
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@@ -66052,7 +59069,7 @@
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="3678">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -66060,15 +59077,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4007" name="Constant_17330" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="3477" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="I32">
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 				</port>
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 		</layer>
-		<layer id="4008" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+		<layer id="3478" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
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@@ -66076,12 +59093,12 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="3679,key.119">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
@@ -66089,79 +59106,139 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="3" offset="10634890" size="24" />
+		<layer id="3479" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 768" offset="1703794104" size="491520" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Constant_5_output_0">
-					<dim>3</dim>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4010" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3480" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_v.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_v.weight">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3481" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>8</dim>
 					<dim>77</dim>
-					<dim>40</dim>
+					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Reshape_5_output_0">
-					<dim>8</dim>
+				<port id="2" precision="FP32" names="3667,value.117">
+					<dim>1</dim>
 					<dim>77</dim>
-					<dim>40</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3482" name="Constant_196388" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="9048124" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4011" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
+		<layer id="3483" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
+					<dim>1</dim>
 					<dim>77</dim>
+					<dim>320</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>40</dim>
+				<port id="1" precision="I64">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="3681">
+					<dim>1</dim>
+					<dim>77</dim>
 					<dim>8</dim>
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="9732426" size="32" />
+		<layer id="3484" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Constant_7_output_0">
+				<port id="0" precision="I32">
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 		</layer>
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-			<data special_zero="true" />
+		<layer id="3485" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
 					<dim>8</dim>
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 					<dim>40</dim>
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+				<port id="1" precision="I32">
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 			<output>
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+				<port id="2" precision="FP32" names="3682,value.119">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3486" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>40</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="3683,hidden_states.645">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
@@ -66169,15 +59246,15 @@
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 		</layer>
-		<layer id="4014" name="Constant_17353" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="3487" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="4015" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Transpose_4" type="Transpose" version="opset1">
+		<layer id="3488" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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@@ -66185,12 +59262,12 @@
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="3684">
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 					<dim>4096</dim>
 					<dim>8</dim>
@@ -66198,15 +59275,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4016" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9116624" size="24" />
+		<layer id="3489" name="Constant_196389" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="9457772" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Constant_8_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4017" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Reshape_7" type="Reshape" version="opset1">
+		<layer id="3490" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
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@@ -66220,15 +59300,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Reshape_7_output_0">
+				<port id="2" precision="FP32" names="3688,3689,hidden_states.647,input.549">
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 					<dim>4096</dim>
 					<dim>320</dim>
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 		</layer>
-		<layer id="4018" name="Constant_74132_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320" offset="1704299602" size="204800" />
+		<layer id="3491" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="1704285624" size="204800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -66236,7 +59316,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4019" name="Constant_74132" type="Convert" version="opset1">
+		<layer id="3492" name="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -66248,13 +59328,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0.weight">
 					<dim>320</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4020" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="3493" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
@@ -66268,36 +59348,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4021" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3494" name="Constant_190434_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1704490424" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3495" name="Constant_190434" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>320</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3496" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+				<port id="2" precision="FP32" names="3692,3694,attn_output.59,input.551">
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 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4022" name="/up_blocks.3/attentions.1/transformer_blocks.0/Add_1" type="Add" version="opset1">
+		<layer id="3497" name="__module.up_blocks.3.attentions.1.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66312,22 +59422,22 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/Add_1_output_0">
+				<port id="2" precision="FP32" names="3695,input.553">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4023" name="Constant_17365" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="3498" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4024" name="/up_blocks.3/attentions.1/transformer_blocks.0/norm3/Div" type="MVN" version="opset6">
+		<layer id="3499" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66335,20 +59445,20 @@
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/norm3/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4025" name="Constant_75238_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="1704504402" size="640" />
+		<layer id="3500" name="Constant_190435_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1704491064" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -66357,7 +59467,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4026" name="Constant_75238" type="Convert" version="opset1">
+		<layer id="3501" name="Constant_190435" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -66377,7 +59487,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4027" name="/up_blocks.3/attentions.1/transformer_blocks.0/norm3/Mul" type="Multiply" version="opset1">
+		<layer id="3502" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66392,15 +59502,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/norm3/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
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 			</output>
 		</layer>
-		<layer id="4028" name="Constant_75239_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="1704505042" size="640" />
+		<layer id="3503" name="Constant_190436_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1704491704" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -66409,7 +59519,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4029" name="Constant_75239" type="Convert" version="opset1">
+		<layer id="3504" name="Constant_190436" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -66429,7 +59539,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4030" name="/up_blocks.3/attentions.1/transformer_blocks.0/norm3/Add_1" type="Add" version="opset1">
+		<layer id="3505" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66444,15 +59554,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/norm3/Add_1_output_0">
+				<port id="2" precision="FP32" names="3699,input.555">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
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 		</layer>
-		<layer id="4031" name="Constant_74140_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 320" offset="1704505682" size="1638400" />
+		<layer id="3506" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0.proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 320" offset="1704492344" size="1638400" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -66460,7 +59570,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4032" name="Constant_74140" type="Convert" version="opset1">
+		<layer id="3507" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0.proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -66472,13 +59582,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0.proj.weight">
 					<dim>2560</dim>
 					<dim>320</dim>
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 		</layer>
-		<layer id="4033" name="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/proj/MatMul" type="MatMul" version="opset1">
+		<layer id="3508" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
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@@ -66492,349 +59602,214 @@
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 			<output>
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-					<dim>4096</dim>
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-				<port id="0" precision="FP32">
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-					<dim>4096</dim>
-					<dim>2560</dim>
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-		<layer id="4035" name="Constant_66784" type="Const" version="opset1">
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-		<layer id="4036" name="Constant_66785" type="Const" version="opset1">
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+				<port id="2" precision="FP32">
 					<dim>1</dim>
+					<dim>4096</dim>
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-			<data element_type="i32" shape="1" offset="12970946" size="4" />
+		<layer id="3509" name="Constant_190437_compressed" type="Const" version="opset1">
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+					<dim>1</dim>
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-		<layer id="4047" name="ScatterUpdate_66786" type="ScatterUpdate" version="opset3">
+		<layer id="3510" name="Constant_190437" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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-				<port id="0" precision="I64">
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+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
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 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3511" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
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-				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="2" precision="FP32" names="3707">
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-			<output>
-				<port id="0" precision="I64">
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+		<layer id="3512" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
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-		<layer id="4051" name="Constant_66852" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+			</input>
 			<output>
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+				<port id="1" precision="I32">
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-		<layer id="4052" name="Constant_66851" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="12970946" size="4" />
+		<layer id="3513" name="Constant_113357" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="12702620" size="4" />
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+		<layer id="3514" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
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-				<port id="3" precision="I32">
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 				</port>
 			</input>
 			<output>
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+				<port id="3" precision="I32" />
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 		</layer>
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-			<data element_type="i64" shape="3" offset="12970914" size="24" />
+		<layer id="3515" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
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+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
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+				<port id="2" precision="I32" />
 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="3516" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
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-				</port>
+				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4056" name="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Mul_1" type="Multiply" version="opset1">
+		<layer id="3517" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
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 			<input>
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-				<port id="1" precision="I64">
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 			</input>
 			<output>
-				<port id="2" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Mul_1_output_0">
+				<port id="2" precision="BOOL">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4057" name="ScatterUpdate_66856" type="ScatterUpdate" version="opset3">
+		<layer id="3518" name="Convert_196135" type="Convert" version="opset1">
+			<data destination_type="i32" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
+				<port id="0" precision="BOOL">
 					<dim>1</dim>
 				</port>
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+			</input>
+			<output>
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+			</output>
+		</layer>
+		<layer id="3519" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
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-					<dim>3</dim>
+				<port id="2" precision="I32">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="3" offset="12970950" size="24" />
+		<layer id="3520" name="Constant_113358" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3521" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3522" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>2560</dim>
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-					<dim>3</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>2</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Slice_1_output_0">
+				<port id="3" precision="FP32" names="3709,hidden_states.651">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="4" precision="FP32" names="3710,gate.29">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4060" name="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+		<layer id="3523" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66844,14 +59819,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+				<port id="1" precision="FP32" names="3711">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4061" name="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+		<layer id="3524" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66866,15 +59841,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+				<port id="2" precision="FP32" names="3712,input.557">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4062" name="Constant_74148_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1280" offset="1706144082" size="819200" />
+		<layer id="3525" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1280" offset="1706135864" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -66882,7 +59857,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4063" name="Constant_74148" type="Convert" version="opset1">
+		<layer id="3526" name="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -66894,13 +59869,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.2.weight">
 					<dim>320</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4064" name="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+		<layer id="3527" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66914,36 +59889,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.2/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4065" name="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3528" name="Constant_190438_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1706955064" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3529" name="Constant_190438" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>320</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3530" name="__module.up_blocks.3.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.2/Add_output_0">
+				<port id="2" precision="FP32" names="3716,ff_output.29">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4066" name="/up_blocks.3/attentions.1/transformer_blocks.0/Add_2" type="Add" version="opset1">
+		<layer id="3531" name="__module.up_blocks.3.attentions.1.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -66958,23 +59963,98 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/Add_2_output_0">
+				<port id="2" precision="FP32" names="3717,hidden_states.653">
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 					<dim>4096</dim>
 					<dim>320</dim>
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 		</layer>
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-			<data element_type="i64" shape="4" offset="13790174" size="32" />
+		<layer id="3532" name="ShapeOf_196034" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
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+			</input>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/Constant_1_output_0">
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4068" name="/up_blocks.3/attentions.1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3533" name="Constant_196691" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="1186481448" size="16" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3534" name="Constant_196692" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3535" name="Gather_196693" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3536" name="__module.up_blocks.3.attentions.1/prim::ListConstruct/Reshape_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="13522488" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3537" name="__module.up_blocks.3.attentions.1/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="I64" names="3718">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3538" name="__module.up_blocks.3.attentions.1/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -66986,7 +60066,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="3719">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>64</dim>
@@ -66994,15 +60074,15 @@
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 			</output>
 		</layer>
-		<layer id="4069" name="Constant_17547" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="13790206" size="32" />
+		<layer id="3539" name="Constant_88604" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="13522496" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="3720">
 					<dim>4</dim>
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 			</output>
 		</layer>
-		<layer id="4070" name="/up_blocks.3/attentions.1/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3540" name="__module.up_blocks.3.attentions.1/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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@@ -67015,7 +60095,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="3721">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -67023,8 +60103,8 @@
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 		</layer>
-		<layer id="4071" name="up_blocks.3.attentions.1.proj_out.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320, 1, 1" offset="1706963282" size="204800" />
+		<layer id="3541" name="self.up_blocks.3.attentions.1.proj_out.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320, 1, 1" offset="1706955704" size="204800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -67034,7 +60114,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4072" name="up_blocks.3.attentions.1.proj_out.weight" type="Convert" version="opset1">
+		<layer id="3542" name="self.up_blocks.3.attentions.1.proj_out.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -67048,7 +60128,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.3.attentions.1.proj_out.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.1.proj_out.weight">
 					<dim>320</dim>
 					<dim>320</dim>
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@@ -67056,7 +60136,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4073" name="/up_blocks.3/attentions.1/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="3543" name="__module.up_blocks.3.attentions.1.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67081,8 +60161,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4074" name="Reshape_17569_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 320, 1, 1" offset="1707168082" size="640" />
+		<layer id="3544" name="__module.up_blocks.3.attentions.1.proj_out/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="1707160504" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -67092,7 +60172,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4075" name="Reshape_17569" type="Convert" version="opset1">
+		<layer id="3545" name="__module.up_blocks.3.attentions.1.proj_out/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -67114,7 +60194,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4076" name="/up_blocks.3/attentions.1/proj_out/Conv" type="Add" version="opset1">
+		<layer id="3546" name="__module.up_blocks.3.attentions.1.proj_out/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67131,7 +60211,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/proj_out/Conv_output_0">
+				<port id="2" precision="FP32" names="3729,hidden_states.657">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -67139,7 +60219,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4077" name="/up_blocks.3/attentions.1/Add" type="Add" version="opset1">
+		<layer id="3547" name="__module.up_blocks.3.attentions.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67156,7 +60236,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/Add_output_0">
+				<port id="2" precision="FP32" names="3730,hidden_states.659">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -67164,7 +60244,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4078" name="/up_blocks.3/Concat_2" type="Concat" version="opset1">
+		<layer id="3548" name="__module.up_blocks.3/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67181,7 +60261,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/Concat_2_output_0">
+				<port id="2" precision="FP32" names="3732,input.561">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>64</dim>
@@ -67189,8 +60269,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4079" name="up_blocks.3.resnets.2.conv_shortcut.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 640, 1, 1" offset="1707168722" size="409600" />
+		<layer id="3549" name="self.up_blocks.3.resnets.2.conv_shortcut.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 640, 1, 1" offset="1707161144" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -67200,7 +60280,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4080" name="up_blocks.3.resnets.2.conv_shortcut.weight" type="Convert" version="opset1">
+		<layer id="3550" name="self.up_blocks.3.resnets.2.conv_shortcut.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -67214,7 +60294,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="up_blocks.3.resnets.2.conv_shortcut.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.3.resnets.2.conv_shortcut.weight">
 					<dim>320</dim>
 					<dim>640</dim>
 					<dim>1</dim>
@@ -67222,7 +60302,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4081" name="/up_blocks.3/resnets.2/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="3551" name="__module.up_blocks.3.resnets.2.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67247,8 +60327,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4082" name="Reshape_17954_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 320, 1, 1" offset="1707578322" size="640" />
+		<layer id="3552" name="__module.up_blocks.3.resnets.2.conv_shortcut/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="1707570744" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -67258,7 +60338,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4083" name="Reshape_17954" type="Convert" version="opset1">
+		<layer id="3553" name="__module.up_blocks.3.resnets.2.conv_shortcut/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -67280,7 +60360,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4084" name="/up_blocks.3/resnets.2/conv_shortcut/Conv" type="Add" version="opset1">
+		<layer id="3554" name="__module.up_blocks.3.resnets.2.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67297,7 +60377,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.2/conv_shortcut/Conv_output_0">
+				<port id="2" precision="FP32" names="3778,input_tensor">
 					<dim>1</dim>
 					<dim>320</dim>
 					<dim>64</dim>
@@ -67305,15 +60385,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4085" name="/up_blocks.3/resnets.2/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="298240" size="24" />
+		<layer id="3555" name="__module.up_blocks.3.resnets.2.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="23680" size="12" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/resnets.2/norm1/Constant_output_0">
+				<port id="0" precision="I32">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4086" name="/up_blocks.3/resnets.2/norm1/Reshape" type="Reshape" version="opset1">
+		<layer id="3556" name="__module.up_blocks.3.resnets.2.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67322,27 +60405,27 @@
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.2/norm1/Reshape_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>81920</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4087" name="Constant_17608" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+		<layer id="3557" name="__module.up_blocks.3.resnets.2.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="23692" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="4088" name="MVN_17609" type="MVN" version="opset6">
+		<layer id="3558" name="__module.up_blocks.3.resnets.2.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67350,20 +60433,20 @@
 					<dim>32</dim>
 					<dim>81920</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.2/norm1/InstanceNormalization_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>81920</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4089" name="/up_blocks.3/resnets.2/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3559" name="__module.up_blocks.3.resnets.2.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -67373,12 +60456,12 @@
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 			</input>
 			<output>
-				<port id="1" precision="I64" names="/up_blocks.3/resnets.2/norm1/Shape_output_0">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4090" name="/up_blocks.3/resnets.2/norm1/Reshape_1" type="Reshape" version="opset1">
+		<layer id="3560" name="__module.up_blocks.3.resnets.2.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67386,12 +60469,12 @@
 					<dim>32</dim>
 					<dim>81920</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.2/norm1/Reshape_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>640</dim>
 					<dim>64</dim>
@@ -67399,8 +60482,8 @@
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-		<layer id="4091" name="Constant_75242_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 640, 1, 1" offset="1707578962" size="1280" />
+		<layer id="3561" name="Constant_190439_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="1707571384" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -67410,7 +60493,7 @@
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 			</output>
 		</layer>
-		<layer id="4092" name="Constant_75242" type="Convert" version="opset1">
+		<layer id="3562" name="Constant_190439" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -67432,7 +60515,7 @@
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 			</output>
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@@ -67449,7 +60532,7 @@
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.2/norm1/Mul_output_0">
+				<port id="2" precision="FP32">
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 					<dim>640</dim>
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@@ -67457,8 +60540,8 @@
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-			<data element_type="f16" shape="1, 640, 1, 1" offset="1707580242" size="1280" />
+		<layer id="3564" name="Constant_190440_compressed" type="Const" version="opset1">
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@@ -67468,7 +60551,7 @@
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 			</output>
 		</layer>
-		<layer id="4095" name="Constant_75243" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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@@ -67490,7 +60573,7 @@
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 			</output>
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-		<layer id="4096" name="/up_blocks.3/resnets.2/norm1/Add" type="Add" version="opset1">
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 			<data auto_broadcast="numpy" />
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@@ -67507,7 +60590,7 @@
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/resnets.2/norm1/Add_output_0">
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 					<dim>640</dim>
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@@ -67515,7 +60598,7 @@
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 			</output>
 		</layer>
-		<layer id="4097" name="/up_blocks.3/resnets.2/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="3567" name="__module.conv_act/aten::silu/Swish_64" type="Swish" version="opset4">
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 				<port id="0" precision="FP32">
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@@ -67525,7 +60608,7 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.3/resnets.2/nonlinearity/Mul_output_0">
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 					<dim>640</dim>
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@@ -67533,8 +60616,8 @@
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-			<data element_type="f16" shape="320, 640, 3, 3" offset="1707581522" size="3686400" />
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+			<data element_type="f16" shape="320, 640, 3, 3" offset="1707573944" size="3686400" />
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 				<port id="0" precision="FP16">
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@@ -67544,7 +60627,7 @@
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 		</layer>
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@@ -67558,7 +60641,7 @@
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-				<port id="1" precision="FP32" names="up_blocks.3.resnets.2.conv1.weight">
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 					<dim>640</dim>
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@@ -67566,7 +60649,7 @@
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 		</layer>
-		<layer id="4100" name="/up_blocks.3/resnets.2/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="3570" name="__module.up_blocks.3.resnets.2.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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@@ -67591,8 +60674,314 @@
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-			<data element_type="f16" shape="1, 320, 1, 1" offset="1711267922" size="640" />
+		<layer id="3571" name="__module.up_blocks.3.resnets.2.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="1711260344" size="640" />
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+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+		<layer id="3572" name="__module.up_blocks.3.resnets.2.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
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+		<layer id="3573" name="__module.up_blocks.3.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
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+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
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+			</output>
+		</layer>
+		<layer id="3574" name="self.up_blocks.3.resnets.2.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1280" offset="1711260984" size="819200" />
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+		<layer id="3575" name="self.up_blocks.3.resnets.2.time_emb_proj.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
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+				<port id="1" precision="FP32" names="self.up_blocks.3.resnets.2.time_emb_proj.weight">
+					<dim>320</dim>
+					<dim>1280</dim>
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+			</output>
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+		<layer id="3576" name="__module.up_blocks.3.resnets.2.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
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+		<layer id="3577" name="Constant_190441_compressed" type="Const" version="opset1">
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+		<layer id="3578" name="Constant_190441" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+		<layer id="3579" name="__module.up_blocks.3.resnets.2.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+		</layer>
+		<layer id="3580" name="__module.up_blocks.3.resnets.2/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
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+		</layer>
+		<layer id="3581" name="__module.up_blocks.3.resnets.2/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
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+				<port id="0" precision="FP32">
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+					<dim>320</dim>
+					<dim>1</dim>
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+					<dim>320</dim>
+					<dim>1</dim>
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+					<dim>64</dim>
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+				<port id="0" precision="I32">
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+		<layer id="3585" name="__module.up_blocks.3.resnets.2.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
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+		<layer id="3586" name="__module.up_blocks.3.resnets.2.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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+					<dim>40960</dim>
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+		<layer id="3588" name="__module.up_blocks.3.resnets.2.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
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+				<port id="0" precision="FP32">
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 				<port id="0" precision="FP16">
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@@ -67602,7 +60991,7 @@
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 			</output>
 		</layer>
-		<layer id="4102" name="Reshape_17733" type="Convert" version="opset1">
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 			</output>
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+		<layer id="3603" name="__module.up_blocks.3.attentions.2.norm/aten::group_norm/Constant" type="Const" version="opset1">
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@@ -68206,27 +61275,27 @@
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-		<layer id="4138" name="MVN_17995" type="MVN" version="opset6">
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@@ -68234,20 +61303,20 @@
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 					<dim>40960</dim>
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-				<port id="1" precision="I64">
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-		<layer id="4139" name="/up_blocks.3/attentions.2/norm/Shape" type="ShapeOf" version="opset3">
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+		<layer id="3607" name="__module.up_blocks.3.attentions.2.norm/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
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 				<port id="0" precision="FP32">
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@@ -68257,12 +61326,12 @@
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 			<output>
-				<port id="1" precision="I64" names="/up_blocks.3/attentions.2/norm/Shape_output_0">
+				<port id="1" precision="I32">
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-		<layer id="4140" name="/up_blocks.3/attentions.2/norm/Reshape_1" type="Reshape" version="opset1">
+		<layer id="3608" name="__module.up_blocks.3.attentions.2.norm/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
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@@ -68270,12 +61339,12 @@
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 					<dim>40960</dim>
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-				<port id="1" precision="I64">
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+				<port id="2" precision="FP32">
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 					<dim>320</dim>
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@@ -68283,8 +61352,8 @@
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+		<layer id="3609" name="Constant_190444_compressed" type="Const" version="opset1">
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@@ -68294,7 +61363,7 @@
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-		<layer id="4142" name="Constant_75247" type="Convert" version="opset1">
+		<layer id="3610" name="Constant_190444" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -68316,7 +61385,7 @@
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 		</layer>
-		<layer id="4143" name="/up_blocks.3/attentions.2/norm/Mul" type="Multiply" version="opset1">
+		<layer id="3611" name="__module.up_blocks.3.attentions.2.norm/aten::group_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -68333,7 +61402,7 @@
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+				<port id="2" precision="FP32">
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 					<dim>320</dim>
 					<dim>64</dim>
@@ -68341,8 +61410,8 @@
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-		<layer id="4144" name="Constant_75248_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 320, 1, 1" offset="1713934162" size="640" />
+		<layer id="3612" name="Constant_190445_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="1713926584" size="640" />
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@@ -68352,7 +61421,7 @@
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 			</output>
 		</layer>
-		<layer id="4145" name="Constant_75248" type="Convert" version="opset1">
+		<layer id="3613" name="Constant_190445" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -68374,7 +61443,7 @@
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-		<layer id="4146" name="/up_blocks.3/attentions.2/norm/Add" type="Add" version="opset1">
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@@ -68391,7 +61460,7 @@
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-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/norm/Add_output_0">
+				<port id="2" precision="FP32" names="3793,hidden_states.671">
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 					<dim>320</dim>
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@@ -68399,8 +61468,8 @@
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-		<layer id="4147" name="up_blocks.3.attentions.2.proj_in.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320, 1, 1" offset="1713934802" size="204800" />
+		<layer id="3615" name="self.up_blocks.3.attentions.2.proj_in.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320, 1, 1" offset="1713927224" size="204800" />
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 				<port id="0" precision="FP16">
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@@ -68410,7 +61479,7 @@
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-		<layer id="4148" name="up_blocks.3.attentions.2.proj_in.weight" type="Convert" version="opset1">
+		<layer id="3616" name="self.up_blocks.3.attentions.2.proj_in.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -68424,7 +61493,7 @@
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-				<port id="1" precision="FP32" names="up_blocks.3.attentions.2.proj_in.weight">
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.2.proj_in.weight">
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 					<dim>320</dim>
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@@ -68432,7 +61501,7 @@
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-		<layer id="4149" name="/up_blocks.3/attentions.2/proj_in/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="3617" name="__module.up_blocks.3.attentions.2.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
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@@ -68457,8 +61526,8 @@
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-		<layer id="4150" name="Reshape_18117_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 320, 1, 1" offset="1714139602" size="640" />
+		<layer id="3618" name="__module.up_blocks.3.attentions.2.proj_in/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="1714132024" size="640" />
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 				<port id="0" precision="FP16">
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@@ -68468,7 +61537,7 @@
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 		</layer>
-		<layer id="4151" name="Reshape_18117" type="Convert" version="opset1">
+		<layer id="3619" name="__module.up_blocks.3.attentions.2.proj_in/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -68490,7 +61559,7 @@
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 		</layer>
-		<layer id="4152" name="/up_blocks.3/attentions.2/proj_in/Conv" type="Add" version="opset1">
+		<layer id="3620" name="__module.up_blocks.3.attentions.2.proj_in/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -68507,7 +61576,7 @@
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/proj_in/Conv_output_0">
+				<port id="2" precision="FP32" names="3800,hidden_states.673">
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 					<dim>320</dim>
 					<dim>64</dim>
@@ -68515,15 +61584,15 @@
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-		<layer id="4153" name="Constant_18145" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9116592" size="32" />
+		<layer id="3621" name="Constant_89163" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="8841984" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="3802">
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-		<layer id="4154" name="/up_blocks.3/attentions.2/Transpose" type="Transpose" version="opset1">
+		<layer id="3622" name="__module.up_blocks.3.attentions.2/aten::permute/Transpose" type="Transpose" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -68536,7 +61605,7 @@
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/Transpose_output_0">
+				<port id="2" precision="FP32" names="3803">
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 					<dim>64</dim>
 					<dim>64</dim>
@@ -68544,15 +61613,18 @@
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 		</layer>
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-			<data element_type="i64" shape="3" offset="9116624" size="24" />
+		<layer id="3623" name="Constant_196390" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="8842016" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/Constant_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
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 			</output>
 		</layer>
-		<layer id="4156" name="/up_blocks.3/attentions.2/Reshape" type="Reshape" version="opset1">
+		<layer id="3624" name="__module.up_blocks.3.attentions.2/aten::reshape/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -68566,22 +61638,22 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/Reshape_output_0">
+				<port id="2" precision="FP32" names="3807,hidden_states.675">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
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 		</layer>
-		<layer id="4157" name="Constant_18154" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="3625" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
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+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="4158" name="/up_blocks.3/attentions.2/transformer_blocks.0/norm1/Div" type="MVN" version="opset6">
+		<layer id="3626" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
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@@ -68589,20 +61661,20 @@
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/norm1/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
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 		</layer>
-		<layer id="4159" name="Constant_75249_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="1714140242" size="640" />
+		<layer id="3627" name="Constant_190446_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1714132664" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -68611,7 +61683,7 @@
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 			</output>
 		</layer>
-		<layer id="4160" name="Constant_75249" type="Convert" version="opset1">
+		<layer id="3628" name="Constant_190446" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -68631,7 +61703,7 @@
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 		</layer>
-		<layer id="4161" name="/up_blocks.3/attentions.2/transformer_blocks.0/norm1/Mul" type="Multiply" version="opset1">
+		<layer id="3629" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -68646,15 +61718,15 @@
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/norm1/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
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-		<layer id="4162" name="Constant_75250_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="1714140882" size="640" />
+		<layer id="3630" name="Constant_190447_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1714133304" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -68663,7 +61735,7 @@
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 			</output>
 		</layer>
-		<layer id="4163" name="Constant_75250" type="Convert" version="opset1">
+		<layer id="3631" name="Constant_190447" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -68683,7 +61755,7 @@
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 		</layer>
-		<layer id="4164" name="/up_blocks.3/attentions.2/transformer_blocks.0/norm1/Add_1" type="Add" version="opset1">
+		<layer id="3632" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -68698,15 +61770,15 @@
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/norm1/Add_1_output_0">
+				<port id="2" precision="FP32" names="3817,hidden_states.677">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
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-		<layer id="4165" name="Constant_74158_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320" offset="1714141522" size="204800" />
+		<layer id="3633" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_q.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="1714133944" size="204800" />
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 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -68714,7 +61786,7 @@
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 			</output>
 		</layer>
-		<layer id="4166" name="Constant_74158" type="Convert" version="opset1">
+		<layer id="3634" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_q.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -68726,13 +61798,13 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_q.weight">
 					<dim>320</dim>
 					<dim>320</dim>
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-		<layer id="4167" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+		<layer id="3635" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -68746,22 +61818,25 @@
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+				<port id="2" precision="FP32" names="3825,query.121">
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 					<dim>4096</dim>
 					<dim>320</dim>
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-		<layer id="4168" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322736" size="32" />
+		<layer id="3636" name="Constant_196391" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="9048124" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant_output_0">
+				<port id="0" precision="I64">
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-		<layer id="4169" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
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@@ -68774,7 +61849,7 @@
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-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Reshape_output_0">
+				<port id="2" precision="FP32" names="3837">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>8</dim>
@@ -68782,15 +61857,15 @@
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-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="3638" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
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-		<layer id="4171" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
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@@ -68798,50 +61873,21 @@
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 					<dim>40</dim>
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-				<port id="1" precision="I64">
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-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="3838,query.123">
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-		<layer id="4174" name="Constant_74165_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320" offset="1714346322" size="204800" />
+		<layer id="3640" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="1714338744" size="204800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -68849,7 +61895,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4175" name="Constant_74165" type="Convert" version="opset1">
+		<layer id="3641" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -68861,13 +61907,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_k.weight">
 					<dim>320</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4176" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="3642" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -68881,22 +61927,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="3827,key.121">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4177" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322736" size="32" />
+		<layer id="3643" name="Constant_196392" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="9048124" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant_2_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4178" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+		<layer id="3644" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -68909,7 +61958,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="3840">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>8</dim>
@@ -68917,15 +61966,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4179" name="Constant_18193" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="3645" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4180" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3646" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -68933,12 +61982,12 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="3841,key.123">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
@@ -68946,128 +61995,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4181" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9322800" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant_3_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4182" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Reshape_3_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4183" name="Constant_75251_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="9527624" size="2" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4184" name="Constant_75251" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4185" name="Multiply_74287" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4186" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Mul_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>4096</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4187" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>4096</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Softmax_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>4096</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4188" name="Constant_74172_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320" offset="1714551122" size="204800" />
+		<layer id="3647" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="1714543544" size="204800" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -69075,7 +62004,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4189" name="Constant_74172" type="Convert" version="opset1">
+		<layer id="3648" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -69087,13 +62016,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_v.weight">
 					<dim>320</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4190" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="3649" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69107,22 +62036,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="3829,value.121">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4191" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322736" size="32" />
+		<layer id="3650" name="Constant_196393" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="9048124" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4192" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Reshape_4" type="Reshape" version="opset1">
+		<layer id="3651" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69135,7 +62067,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="3843">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>8</dim>
@@ -69143,15 +62075,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4193" name="Constant_18209" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="3652" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4194" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+		<layer id="3653" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -69159,12 +62091,12 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="3844,value.123">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
@@ -69172,16 +62104,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4195" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9322800" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant_5_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4196" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3654" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -69189,62 +62113,21 @@
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Reshape_5_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4197" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>4096</dim>
-				</port>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/MatMul_1_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4198" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9732426" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant_7_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4199" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Reshape_6_output_0">
+				<port id="3" precision="FP32" names="3845,hidden_states.679">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
@@ -69252,15 +62135,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4200" name="Constant_18232" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="3655" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4201" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Transpose_4" type="Transpose" version="opset1">
+		<layer id="3656" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -69268,12 +62151,12 @@
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="3846">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>8</dim>
@@ -69281,15 +62164,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4202" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9116624" size="24" />
+		<layer id="3657" name="Constant_196394" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="9457772" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant_8_output_0">
+				<port id="0" precision="I64">
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 		</layer>
-		<layer id="4203" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Reshape_7" type="Reshape" version="opset1">
+		<layer id="3658" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1/aten::reshape/Reshape" type="Reshape" version="opset1">
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@@ -69303,15 +62189,15 @@
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-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Reshape_7_output_0">
+				<port id="2" precision="FP32" names="3850,3851,hidden_states.681,input.573">
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 					<dim>4096</dim>
 					<dim>320</dim>
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 		</layer>
-		<layer id="4204" name="Constant_74179_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320" offset="1714755922" size="204800" />
+		<layer id="3659" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="1714748344" size="204800" />
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@@ -69319,7 +62205,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4205" name="Constant_74179" type="Convert" version="opset1">
+		<layer id="3660" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -69331,13 +62217,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_out.0.weight">
 					<dim>320</dim>
 					<dim>320</dim>
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 			</output>
 		</layer>
-		<layer id="4206" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+		<layer id="3661" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
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@@ -69351,36 +62237,44 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32">
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 					<dim>4096</dim>
 					<dim>320</dim>
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 		</layer>
-		<layer id="4207" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
+		<layer id="3662" name="Constant_190448_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1714953144" size="640" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>320</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="3663" name="Constant_190448" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
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 					<dim>320</dim>
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 		</layer>
-		<layer id="4208" name="/up_blocks.3/attentions.2/transformer_blocks.0/Add" type="Add" version="opset1">
+		<layer id="3664" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_out.0/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -69390,100 +62284,70 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>4096</dim>
+					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/Add_output_0">
+				<port id="2" precision="FP32" names="3854,3856,attn_output.61,input.575">
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 					<dim>4096</dim>
 					<dim>320</dim>
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 		</layer>
-		<layer id="4209" name="Constant_18244" type="Const" version="opset1">
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-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="3665" name="__module.up_blocks.3.attentions.2.transformer_blocks.0/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/norm2/Div_output_0">
+				<port id="2" precision="FP32" names="3857,input.577">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4211" name="Constant_75253_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="1714960722" size="640" />
+		<layer id="3666" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>320</dim>
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-			</output>
-		</layer>
-		<layer id="4212" name="Constant_75253" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
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-			<input>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>320</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="0" precision="I32">
 					<dim>1</dim>
-					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4213" name="/up_blocks.3/attentions.2/transformer_blocks.0/norm2/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3667" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="1" precision="I32">
 					<dim>1</dim>
-					<dim>320</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/norm2/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4214" name="Constant_75254_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="1714961362" size="640" />
+		<layer id="3668" name="Constant_190449_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1714953784" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -69492,7 +62356,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4215" name="Constant_75254" type="Convert" version="opset1">
+		<layer id="3669" name="Constant_190449" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -69512,7 +62376,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4216" name="/up_blocks.3/attentions.2/transformer_blocks.0/norm2/Add_1" type="Add" version="opset1">
+		<layer id="3670" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69527,42 +62391,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/norm2/Add_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
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 			</output>
 		</layer>
-		<layer id="4217" name="Constant_74187_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320" offset="1714962002" size="204800" />
+		<layer id="3671" name="Constant_190450_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1714954424" size="640" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4218" name="Constant_74187" type="Convert" version="opset1">
+		<layer id="3672" name="Constant_190450" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>320</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4219" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
+		<layer id="3673" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -69570,107 +62437,119 @@
 					<dim>320</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>320</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+				<port id="2" precision="FP32" names="3861,input.579">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4220" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322736" size="32" />
+		<layer id="3674" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_q.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320" offset="1714955064" size="204800" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_output_0">
-					<dim>4</dim>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4221" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3675" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_q.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_q.weight">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3676" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_output_0">
+				<port id="2" precision="FP32" names="3869,query.125">
 					<dim>1</dim>
 					<dim>4096</dim>
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-					<dim>40</dim>
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-		<layer id="4222" name="Constant_18267" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>320</dim>
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 			</output>
 		</layer>
-		<layer id="4223" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+		<layer id="3677" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
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 					<dim>4096</dim>
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 				<port id="1" precision="I64">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Transpose_output_0">
+				<port id="2" precision="FP32" names="3881">
 					<dim>1</dim>
-					<dim>8</dim>
 					<dim>4096</dim>
+					<dim>8</dim>
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 		</layer>
-		<layer id="4224" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9322800" size="24" />
+		<layer id="3678" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_1_output_0">
-					<dim>3</dim>
+				<port id="0" precision="I32">
+					<dim>4</dim>
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 		</layer>
-		<layer id="4225" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3679" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>8</dim>
 					<dim>4096</dim>
+					<dim>8</dim>
 					<dim>40</dim>
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-				<port id="1" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="3882,query">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
 					<dim>40</dim>
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 		</layer>
-		<layer id="4226" name="Constant_74194_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 768" offset="1715166802" size="491520" />
+		<layer id="3680" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_k.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 768" offset="1715159864" size="491520" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -69678,7 +62557,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4227" name="Constant_74194" type="Convert" version="opset1">
+		<layer id="3681" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_k.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -69690,13 +62569,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_k.weight">
 					<dim>320</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4228" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+		<layer id="3682" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -69710,22 +62589,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+				<port id="2" precision="FP32" names="3871,key.125">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4229" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="10634858" size="32" />
+		<layer id="3683" name="Constant_196395" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="9048124" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_2_output_0">
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="4230" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+		<layer id="3684" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69738,7 +62620,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="3884">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -69746,15 +62628,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4231" name="Constant_18283" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="3685" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4232" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3686" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -69762,141 +62644,21 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Transpose_1_output_0">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4233" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="10634890" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_3_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4234" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>40</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_3_output_0">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4235" name="Constant_75255_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="9527624" size="2" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4236" name="Constant_75255" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4237" name="Multiply_74289" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>40</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3885,key">
 					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4238" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Mul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>40</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Mul_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4239" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>77</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Softmax_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4240" name="Constant_74201_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 768" offset="1715658322" size="491520" />
+		<layer id="3687" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_v.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 768" offset="1715651384" size="491520" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -69904,7 +62666,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4241" name="Constant_74201" type="Convert" version="opset1">
+		<layer id="3688" name="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_v.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -69916,13 +62678,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_v.weight">
 					<dim>320</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4242" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+		<layer id="3689" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69936,22 +62698,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+				<port id="2" precision="FP32" names="3873,value.125">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4243" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="10634858" size="32" />
+		<layer id="3690" name="Constant_196396" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="9048124" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_4_output_0">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4244" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_4" type="Reshape" version="opset1">
+		<layer id="3691" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69964,7 +62729,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="3887">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>8</dim>
@@ -69972,15 +62737,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4245" name="Constant_18299" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="3692" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4246" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+		<layer id="3693" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -69988,12 +62753,12 @@
 					<dim>8</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="3888,value">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
@@ -70001,79 +62766,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4247" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="10634890" size="24" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_5_output_0">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4248" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3694" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>40</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_5_output_0">
-					<dim>8</dim>
-					<dim>77</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4249" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
 					<dim>8</dim>
 					<dim>4096</dim>
-					<dim>77</dim>
+					<dim>40</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
 					<dim>77</dim>
 					<dim>40</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/MatMul_1_output_0">
-					<dim>8</dim>
-					<dim>4096</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4250" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9732426" size="32" />
-			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_7_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4251" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_6" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>1</dim>
 					<dim>8</dim>
-					<dim>4096</dim>
+					<dim>77</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_6_output_0">
+				<port id="3" precision="FP32" names="3889,hidden_states.685">
 					<dim>1</dim>
 					<dim>8</dim>
 					<dim>4096</dim>
@@ -70081,15 +62797,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4252" name="Constant_18322" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9322768" size="32" />
+		<layer id="3695" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9048156" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4253" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Transpose_4" type="Transpose" version="opset1">
+		<layer id="3696" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -70097,12 +62813,12 @@
 					<dim>4096</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="3890">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>8</dim>
@@ -70110,15 +62826,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4254" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9116624" size="24" />
+		<layer id="3697" name="Constant_196397" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="9457772" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_8_output_0">
+				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
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-		<layer id="4255" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_7" type="Reshape" version="opset1">
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-			<data element_type="f16" shape="320, 320" offset="1716149842" size="204800" />
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+			<data element_type="f16" shape="320, 320" offset="1716142904" size="204800" />
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@@ -70148,7 +62867,7 @@
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 		</layer>
-		<layer id="4257" name="Constant_74208" type="Convert" version="opset1">
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@@ -70160,13 +62879,13 @@
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@@ -70180,36 +62899,66 @@
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-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
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 					<dim>4096</dim>
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-			<data auto_broadcast="numpy" />
+		<layer id="3702" name="Constant_190451_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1716347704" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
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+		</layer>
+		<layer id="3703" name="Constant_190451" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 					<dim>1</dim>
 					<dim>320</dim>
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+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
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+			</output>
+		</layer>
+		<layer id="3704" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_out.0/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
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 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
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 					<dim>4096</dim>
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 		</layer>
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+		<layer id="3705" name="__module.up_blocks.3.attentions.2.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -70224,22 +62973,22 @@
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 			</input>
 			<output>
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-		<layer id="4261" name="Constant_18334" type="Const" version="opset1">
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+		<layer id="3706" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
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 		</layer>
-		<layer id="4262" name="/up_blocks.3/attentions.2/transformer_blocks.0/norm3/Div" type="MVN" version="opset6">
+		<layer id="3707" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
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@@ -70247,20 +62996,20 @@
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 					<dim>320</dim>
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-				<port id="1" precision="I64">
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-			<data element_type="f16" shape="1, 1, 320" offset="1716354642" size="640" />
+		<layer id="3708" name="Constant_190452_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1716348344" size="640" />
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@@ -70269,7 +63018,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4264" name="Constant_75257" type="Convert" version="opset1">
+		<layer id="3709" name="Constant_190452" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -70289,7 +63038,7 @@
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 		</layer>
-		<layer id="4265" name="/up_blocks.3/attentions.2/transformer_blocks.0/norm3/Mul" type="Multiply" version="opset1">
+		<layer id="3710" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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 			</input>
 			<output>
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 					<dim>4096</dim>
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-		<layer id="4266" name="Constant_75258_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="1716355282" size="640" />
+		<layer id="3711" name="Constant_190453_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1716348984" size="640" />
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@@ -70321,7 +63070,7 @@
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 			</output>
 		</layer>
-		<layer id="4267" name="Constant_75258" type="Convert" version="opset1">
+		<layer id="3712" name="Constant_190453" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -70341,7 +63090,7 @@
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-		<layer id="4268" name="/up_blocks.3/attentions.2/transformer_blocks.0/norm3/Add_1" type="Add" version="opset1">
+		<layer id="3713" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
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@@ -70356,15 +63105,15 @@
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-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/norm3/Add_1_output_0">
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-			<data element_type="f16" shape="2560, 320" offset="1716355922" size="1638400" />
+		<layer id="3714" name="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0.proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 320" offset="1716349624" size="1638400" />
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@@ -70372,7 +63121,7 @@
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 		</layer>
-		<layer id="4270" name="Constant_74216" type="Convert" version="opset1">
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@@ -70384,13 +63133,13 @@
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-				<port id="1" precision="FP32">
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@@ -70404,61 +63153,67 @@
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/proj/MatMul_output_0">
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 					<dim>1</dim>
 					<dim>4096</dim>
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-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
+		<layer id="3717" name="Constant_190454_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="1717988024" size="5120" />
+			<output>
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 					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="3718" name="Constant_190454" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
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 					<dim>2560</dim>
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 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/proj/Add_output_0">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
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-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+		<layer id="3719" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
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-		<layer id="4274" name="Constant_66986" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
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-		<layer id="4275" name="Constant_66982" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="298264" size="8" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="2" precision="FP32" names="3913">
 					<dim>1</dim>
+					<dim>4096</dim>
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 		</layer>
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-			<data output_type="i64" />
+		<layer id="3720" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -70467,286 +63222,145 @@
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 			</input>
 			<output>
-				<port id="1" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Shape_output_0">
+				<port id="1" precision="I32">
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 		</layer>
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-			<data element_type="i64" shape="1" offset="9116648" size="8" />
+		<layer id="3721" name="Constant_113371" type="Const" version="opset1">
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-				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Constant_output_0">
+				<port id="0" precision="I32">
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-		<layer id="4278" name="Constant_18351" type="Const" version="opset1">
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-		<layer id="4279" name="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Gather" type="Gather" version="opset8">
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 			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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-				<port id="1" precision="I64">
+				<port id="1" precision="I64" />
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+				<port id="3" precision="I32" />
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-		<layer id="4283" name="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Div" type="Divide" version="opset1">
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-				<port id="0" precision="I32">
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-				</port>
+				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4285" name="ScatterUpdate_66987" type="ScatterUpdate" version="opset3">
+		<layer id="3724" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
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-				<port id="3" precision="I32">
-					<dim>1</dim>
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+				<port id="0" precision="I32" />
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-				<port id="0" precision="I64">
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+				<port id="2" precision="I32" />
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 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3725" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
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+				<port id="0" precision="I32" />
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+				<port id="2" precision="BOOL">
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-					<dim>1280</dim>
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-			<data element_type="i64" shape="1" offset="298264" size="8" />
-			<output>
-				<port id="0" precision="I64">
+		<layer id="3726" name="Convert_196254" type="Convert" version="opset1">
+			<data destination_type="i32" />
+			<input>
+				<port id="0" precision="BOOL">
 					<dim>1</dim>
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-		</layer>
-		<layer id="4290" name="Constant_67052" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="12970946" size="4" />
+			</input>
 			<output>
-				<port id="0" precision="I32">
+				<port id="1" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="4291" name="ScatterUpdate_67055" type="ScatterUpdate" version="opset3">
+		<layer id="3727" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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-					<dim>3</dim>
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-				<port id="2" precision="I64">
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-				</port>
-				<port id="3" precision="I32">
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
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-			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Constant_5_output_0">
+				<port id="2" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4294" name="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Mul_1" type="Multiply" version="opset1">
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-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="3728" name="Constant_113372" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842040" size="4" />
 			<output>
-				<port id="2" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Mul_1_output_0">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4295" name="ScatterUpdate_67057" type="ScatterUpdate" version="opset3">
+		<layer id="3729" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
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-				<port id="1" precision="I64">
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-				</port>
-				<port id="2" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="1" precision="I32">
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 			</input>
 			<output>
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-		<layer id="4296" name="Constant_67060" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="2" precision="I32">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4297" name="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3730" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>2560</dim>
 				</port>
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-					<dim>3</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>2</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Slice_1_output_0">
+				<port id="3" precision="FP32" names="3915,hidden_states.691">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="4" precision="FP32" names="3916,gate">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4298" name="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+		<layer id="3731" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70756,14 +63370,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+				<port id="1" precision="FP32" names="3917">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4299" name="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+		<layer id="3732" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -70778,15 +63392,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+				<port id="2" precision="FP32" names="3918,input.589">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4300" name="Constant_74224_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1280" offset="1717994322" size="819200" />
+		<layer id="3733" name="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1280" offset="1717993144" size="819200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>320</dim>
@@ -70794,7 +63408,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4301" name="Constant_74224" type="Convert" version="opset1">
+		<layer id="3734" name="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -70806,13 +63420,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2.weight">
 					<dim>320</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4302" name="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+		<layer id="3735" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70826,36 +63440,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.2/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="3736" name="Constant_190455_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1718812344" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3737" name="Constant_190455" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>320</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3738" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.2/Add_output_0">
+				<port id="2" precision="FP32" names="3922,ff_output">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4304" name="/up_blocks.3/attentions.2/transformer_blocks.0/Add_2" type="Add" version="opset1">
+		<layer id="3739" name="__module.up_blocks.3.attentions.2.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70870,23 +63514,95 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/Add_2_output_0">
+				<port id="2" precision="FP32" names="3923,hidden_states.693">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4305" name="/up_blocks.3/attentions.2/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="13790174" size="32" />
+		<layer id="3740" name="ShapeOf_196151" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/Constant_1_output_0">
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4306" name="/up_blocks.3/attentions.2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3741" name="Constant_196700" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="13522464" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3742" name="Constant_196701" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868816" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3743" name="Gather_196702" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3744" name="__module.up_blocks.3.attentions.2/prim::ListConstruct/Reshape_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="13522488" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3745" name="__module.up_blocks.3.attentions.2/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="3924">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3746" name="__module.up_blocks.3.attentions.2/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -70898,7 +63614,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="3925">
 					<dim>1</dim>
 					<dim>64</dim>
 					<dim>64</dim>
@@ -70906,15 +63622,15 @@
 				</port>
 			</output>
 		</layer>
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 		<edge from-layer="1592" from-port="0" to-layer="1593" to-port="0" />
@@ -73192,500 +65985,515 @@
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@@ -75352,56 +68187,57 @@
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@@ -75411,720 +68247,124 @@
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 		<edge from-layer="3674" from-port="0" to-layer="3675" to-port="0" />
 		<edge from-layer="3675" from-port="1" to-layer="3676" to-port="1" />
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-		<Runtime_version value="2022.3.0-9052-9752fafe8eb-releases/2022/3" />
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-			<model_name value="unet_fp16" />
-			<output_dir value="DIR" />
+			<framework value="pytorch" />
+			<is_python_object value="True" />
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+			<pytorch_version value="2.4.0" />
+			<transformers_version value="4.38.2" />
+		</optimum>
 	</rt_info>
 </net>