matjesg

/

deepflash2_demo

like 2

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• "__torch__.torch.nn.modules.dropout.___torch_mangle_9058.Dropout",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_10195.Conv2dReLU",
• "__torch__.torch.nn.modules.linear.___torch_mangle_9009.Linear",
• "__torch__.timm.models.convnext.___torch_mangle_9489.ConvNeXtBlock",
• "__torch__.torch.nn.modules.dropout.___torch_mangle_8552.Dropout",
• "__torch__.torch.nn.modules.normalization.___torch_mangle_8955.LayerNorm",
• "__torch__.torch.nn.modules.activation.___torch_mangle_10164.GELU",
• "__torch__.torch.nn.modules.linear.___torch_mangle_8468.Linear",
• "__torch__.torch.nn.modules.normalization.___torch_mangle_7893.LayerNorm",
• "__torch__.torch.nn.modules.linear.___torch_mangle_8407.Identity",
• "__torch__.torch.nn.modules.linear.___torch_mangle_8458.Linear",
• "__torch__.segmentation_models_pytorch.decoders.unet.decoder.___torch_mangle_8646.DecoderBlock",
• "__torch__.torch.nn.modules.normalization.___torch_mangle_7918.LayerNorm",
• "__torch__.torch.nn.modules.activation.___torch_mangle_8110.ReLU",
• "__torch__.torch.nn.modules.conv.___torch_mangle_9054.Conv2d",
• "__torch__.timm.models.layers.mlp.___torch_mangle_8600.Mlp",
• "__torch__.torch.nn.modules.linear.___torch_mangle_8546.Identity",
• "__torch__.timm.models.layers.mlp.___torch_mangle_8525.Mlp",
• "__torch__.timm.models.convnext.___torch_mangle_9621.ConvNeXtStage",
• "__torch__.torch.nn.modules.normalization.___torch_mangle_8023.LayerNorm",
• "__torch__.timm.models.convnext.___torch_mangle_8537.ConvNeXtBlock",
• "__torch__.timm.models.convnext.___torch_mangle_10005.ConvNeXtBlock",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_10230.Attention",
• "__torch__.timm.models.convnext.___torch_mangle_8557.ConvNeXtBlock",
• "__torch__.timm.models.layers.mlp.___torch_mangle_8435.Mlp",
• "__torch__.torch.nn.modules.linear.___torch_mangle_8644.Identity",
• "__torch__.torch.nn.modules.linear.___torch_mangle_9039.Linear",
• "collections.OrderedDict",
• "torch.DoubleStorage",
• "torch._utils._rebuild_tensor_v2"

How to fix it?

• "__torch__.timm.models.layers.mlp.___torch_mangle_1618.Mlp",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_1777.Attention",
• "__torch__.torch.nn.modules.linear.___torch_mangle_1714.Identity",
• "__torch__.torch.nn.modules.linear.___torch_mangle_2348.Identity",
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• "__torch__.torch.nn.modules.conv.___torch_mangle_1676.Conv2d",
• "__torch__.torch.nn.modules.activation.___torch_mangle_2195.GELU",
• "__torch__.torch.nn.modules.linear.___torch_mangle_2234.Linear",
• "__torch__.torch.nn.modules.linear.___torch_mangle_1711.Linear",
• "__torch__.timm.models.layers.mlp.___torch_mangle_1723.Mlp",
• "__torch__.torch.nn.modules.linear.___torch_mangle_2207.Linear",
• "__torch__.timm.models.convnext.___torch_mangle_2253.ConvNeXtStage",
• "__torch__.timm.models.layers.mlp.___torch_mangle_1673.Mlp",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_1808.Conv2dReLU",
• "__torch__.torch.nn.modules.conv.___torch_mangle_2162.Conv2d",
• "__torch__.torch.nn.modules.linear.___torch_mangle_2262.Linear",
• "__torch__.torch.nn.modules.conv.___torch_mangle_1805.Conv2d",
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• "__torch__.torch.nn.modules.activation.___torch_mangle_2140.GELU",
• "__torch__.torch.nn.modules.dropout.___torch_mangle_2196.Dropout",
• "__torch__.timm.models.layers.mlp.___torch_mangle_1693.Mlp",
• "__torch__.torch.nn.modules.dropout.___torch_mangle_1710.Dropout",
• "__torch__.torch.nn.modules.activation.___torch_mangle_1781.ReLU",
• "__torch__.torch.nn.modules.conv.___torch_mangle_1656.Conv2d",
• "__torch__.timm.models.convnext.___torch_mangle_1564.LayerNorm2d",
• "__torch__.torch.nn.modules.linear.___torch_mangle_2184.Linear",
• "__torch__.torch.nn.modules.linear.___torch_mangle_1821.Identity",
• "torch.jit._pickle.build_doublelist",
• "__torch__.torch.nn.modules.linear.___torch_mangle_1648.Linear",
• "__torch__.torch.nn.modules.dropout.___torch_mangle_2263.Dropout",
• "__torch__.torch.nn.modules.conv.___torch_mangle_1696.Conv2d",
• "__torch__.torch.nn.modules.dropout.___torch_mangle_1605.Dropout",
• "__torch__.torch.nn.modules.normalization.___torch_mangle_1677.LayerNorm",
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• "__torch__.torch.nn.modules.container.___torch_mangle_1818.ModuleList",
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• "__torch__.torch.nn.modules.activation.___torch_mangle_1699.GELU",
• "__torch__.torch.nn.modules.linear.___torch_mangle_2177.Linear",
• "torch.FloatStorage",
• "__torch__.timm.models.features.___torch_mangle_1763.FeatureListNet",
• "__torch__.torch.nn.modules.normalization.___torch_mangle_2093.LayerNorm",
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• "__torch__.torch.nn.modules.dropout.___torch_mangle_1572.Dropout",
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• "__torch__.timm.models.convnext.___torch_mangle_1705.ConvNeXtBlock",
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• "__torch__.timm.models.convnext.___torch_mangle_1632.ConvNeXtStage",
• "__torch__.timm.models.convnext.___torch_mangle_1610.ConvNeXtBlock",
• "__torch__.torch.nn.modules.linear.___torch_mangle_1629.Identity",
• "__torch__.torch.nn.modules.linear.___torch_mangle_2322.Identity",
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• "__torch__.torch.nn.modules.linear.___torch_mangle_1749.Identity",
• "__torch__.timm.models.convnext.___torch_mangle_1598.LayerNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_2298.Conv2d",
• "__torch__.torch.nn.modules.dropout.___torch_mangle_2218.Dropout",
• "__torch__.timm.models.layers.mlp.___torch_mangle_1683.Mlp",
• "__torch__.torch.nn.modules.dropout.___torch_mangle_2108.Dropout",
• "__torch__.torch.nn.modules.container.___torch_mangle_1631.Sequential",
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• "__torch__.torch.nn.modules.normalization.___torch_mangle_2113.LayerNorm",
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• "__torch__.torch.nn.modules.linear.___torch_mangle_1671.Linear",
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• "__torch__.torch.nn.modules.normalization.___torch_mangle_2183.LayerNorm",
• "__torch__.timm.models.convnext.___torch_mangle_2156.ConvNeXtBlock",
• "__torch__.torch.nn.modules.activation.___torch_mangle_2326.ReLU",
• "__torch__.torch.nn.modules.conv.___torch_mangle_1785.Conv2d",
• "__torch__.torch.nn.modules.dropout.___torch_mangle_2206.Dropout",
• "__torch__.timm.models.convnext.___torch_mangle_2241.ConvNeXtBlock",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_1784.Attention",
• "__torch__.torch.nn.modules.linear.___torch_mangle_1591.Linear",
• "__torch__.torch.nn.modules.conv.___torch_mangle_1634.Conv2d",
• "__torch__.torch.nn.modules.dropout.___torch_mangle_2143.Dropout",
• "__torch__.torch.nn.modules.linear.___torch_mangle_1571.Linear",
• "collections.OrderedDict",
• "__torch__.torch.nn.modules.normalization.___torch_mangle_1717.LayerNorm",
• "__torch__.torch.nn.modules.conv.___torch_mangle_1766.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_2202.Conv2d",
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• "__torch__.torch.nn.modules.normalization.___torch_mangle_2268.LayerNorm",
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• "__torch__.torch.nn.modules.conv.___torch_mangle_1731.Conv2d",
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• "__torch__.torch.nn.modules.linear.___torch_mangle_1603.Linear",
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• "__torch__.torch.nn.modules.activation.___torch_mangle_1679.GELU",
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• "__torch__.torch.nn.modules.activation.___torch_mangle_2313.ReLU",
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• "__torch__.torch.nn.modules.normalization.___torch_mangle_1707.LayerNorm",
• "__torch__.timm.models.convnext.___torch_mangle_2090.LayerNorm2d",
• "__torch__.torch.nn.modules.activation.___torch_mangle_2095.GELU",
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• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_1793.BatchNorm2d",
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• "__torch__.torch.nn.modules.linear.___torch_mangle_1688.Linear",
• "__torch__.torch.nn.modules.activation.___torch_mangle_1794.ReLU",
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• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_1816.Attention",
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• "__torch__.torch.nn.modules.linear.___torch_mangle_1664.Identity",
• "__torch__.segmentation_models_pytorch.decoders.unet.decoder.___torch_mangle_1778.DecoderBlock",
• "__torch__.torch.nn.modules.conv.___torch_mangle_1820.Conv2d",
• "__torch__.timm.models.layers.mlp.___torch_mangle_2219.Mlp",
• "__torch__.torch.nn.modules.normalization.___torch_mangle_1752.LayerNorm",
• "__torch__.torch.nn.modules.linear.___torch_mangle_2110.Identity",
• "__torch__.torch.nn.modules.dropout.___torch_mangle_2133.Dropout",
• "__torch__.torch.nn.modules.dropout.___torch_mangle_2226.Dropout",
• "__torch__.torch.nn.modules.conv.___torch_mangle_2172.Conv2d",
• "__torch__.deepflash2.tta.Compose",
• "__torch__.torch.nn.modules.linear.___torch_mangle_1684.Identity",
• "__torch__.torch.nn.modules.activation.___torch_mangle_1744.GELU",
• "__torch__.torch.nn.modules.container.___torch_mangle_1596.Sequential",
• "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_2295.Conv2dReLU",
• "__torch__.torch.nn.modules.activation.___torch_mangle_2294.ReLU",
• "__torch__.torch.nn.modules.linear.___torch_mangle_1641.Linear",
• "__torch__.torch.nn.modules.activation.___torch_mangle_1768.ReLU",
• "__torch__.timm.models.convnext.___torch_mangle_2231.ConvNeXtBlock",
• "__torch__.timm.models.layers.mlp.___torch_mangle_2239.Mlp",
• "__torch__.segmentation_models_pytorch.base.heads.___torch_mangle_2350.SegmentationHead",
• "__torch__.torch.nn.modules.conv.___torch_mangle_2255.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_2312.BatchNorm2d",
• "__torch__.torch.nn.modules.linear.___torch_mangle_1743.Linear",
• "__torch__.torch.nn.modules.normalization.___torch_mangle_2138.LayerNorm",
• "__torch__.torch.nn.modules.conv.___torch_mangle_2222.Conv2d",
• "__torch__.torch.nn.modules.dropout.___torch_mangle_2131.Dropout",
• "__torch__.torch.nn.modules.conv.___torch_mangle_2232.Conv2d",
• "__torch__.torch.nn.modules.activation.___torch_mangle_1813.ReLU",
• "__torch__.torch.nn.modules.conv.___torch_mangle_2112.Conv2d",
• "__torch__.torch.nn.modules.normalization.___torch_mangle_2203.LayerNorm",
• "__torch__.torch.nn.modules.linear.___torch_mangle_2302.Identity",
• "__torch__.timm.models.convnext.___torch_mangle_2171.ConvNeXtBlock",
• "__torch__.torch.nn.modules.conv.___torch_mangle_1729.Conv2d",
• "__torch__.torch.nn.modules.linear.___torch_mangle_1776.Identity",
• "__torch__.timm.models.layers.mlp.___torch_mangle_1738.Mlp",
• "__torch__.torch.nn.modules.linear.___torch_mangle_2237.Linear",
• "__torch__.timm.models.layers.mlp.___torch_mangle_2229.Mlp",
• "__torch__.torch.nn.modules.normalization.___torch_mangle_2278.LayerNorm",
• "__torch__.timm.models.convnext.___torch_mangle_1727.ConvNeXtStage",
• "__torch__.timm.models.convnext.___torch_mangle_1645.ConvNeXtBlock",
• "__torch__.timm.models.layers.mlp.___torch_mangle_1758.Mlp",
• "__torch__.torch.nn.modules.normalization.___torch_mangle_1647.LayerNorm",
• "__torch__.torch.nn.modules.dropout.___torch_mangle_1642.Dropout",
• "__torch__.torch.nn.modules.linear.___torch_mangle_1789.Identity",
• "__torch__.torch.nn.modules.conv.___torch_mangle_1706.Conv2d",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "torch.DoubleStorage"

How to fix it?