Hugging Face's logo

pesi
/
YOLO-NAS-Pose-JetPack5

Object Detection
ONNX
Pose Estimation
YOLO-NAS-Pose
Jetson Orin
JetPack 5.1.1
TensorRT 8.5.2
Model card Files Community
YOLO-NAS-Pose-JetPack5
File size: 57,324 Bytes 
127e10d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
 
&&&& RUNNING TensorRT.trtexec [TensorRT v8502] # /usr/src/tensorrt/bin/trtexec --onnx=yolo_nas_pose_l_int8.onnx --int8 --avgRuns=100 --duration=15 --saveEngine=yolo_nas_pose_l_int8.onnx.int8.engine
[12/28/2023-20:16:29] [I] === Model Options ===
[12/28/2023-20:16:29] [I] Format: ONNX
[12/28/2023-20:16:29] [I] Model: yolo_nas_pose_l_int8.onnx
[12/28/2023-20:16:29] [I] Output:
[12/28/2023-20:16:29] [I] === Build Options ===
[12/28/2023-20:16:29] [I] Max batch: explicit batch
[12/28/2023-20:16:29] [I] Memory Pools: workspace: default, dlaSRAM: default, dlaLocalDRAM: default, dlaGlobalDRAM: default
[12/28/2023-20:16:29] [I] minTiming: 1
[12/28/2023-20:16:29] [I] avgTiming: 8
[12/28/2023-20:16:29] [I] Precision: FP32+INT8
[12/28/2023-20:16:29] [I] LayerPrecisions: 
[12/28/2023-20:16:29] [I] Calibration: Dynamic
[12/28/2023-20:16:29] [I] Refit: Disabled
[12/28/2023-20:16:29] [I] Sparsity: Disabled
[12/28/2023-20:16:29] [I] Safe mode: Disabled
[12/28/2023-20:16:29] [I] DirectIO mode: Disabled
[12/28/2023-20:16:29] [I] Restricted mode: Disabled
[12/28/2023-20:16:29] [I] Build only: Disabled
[12/28/2023-20:16:29] [I] Save engine: yolo_nas_pose_l_int8.onnx.int8.engine
[12/28/2023-20:16:29] [I] Load engine: 
[12/28/2023-20:16:29] [I] Profiling verbosity: 0
[12/28/2023-20:16:29] [I] Tactic sources: Using default tactic sources
[12/28/2023-20:16:29] [I] timingCacheMode: local
[12/28/2023-20:16:29] [I] timingCacheFile: 
[12/28/2023-20:16:29] [I] Heuristic: Disabled
[12/28/2023-20:16:29] [I] Preview Features: Use default preview flags.
[12/28/2023-20:16:29] [I] Input(s)s format: fp32:CHW
[12/28/2023-20:16:29] [I] Output(s)s format: fp32:CHW
[12/28/2023-20:16:29] [I] Input build shapes: model
[12/28/2023-20:16:29] [I] Input calibration shapes: model
[12/28/2023-20:16:29] [I] === System Options ===
[12/28/2023-20:16:29] [I] Device: 0
[12/28/2023-20:16:29] [I] DLACore: 
[12/28/2023-20:16:29] [I] Plugins:
[12/28/2023-20:16:29] [I] === Inference Options ===
[12/28/2023-20:16:29] [I] Batch: Explicit
[12/28/2023-20:16:29] [I] Input inference shapes: model
[12/28/2023-20:16:29] [I] Iterations: 10
[12/28/2023-20:16:29] [I] Duration: 15s (+ 200ms warm up)
[12/28/2023-20:16:29] [I] Sleep time: 0ms
[12/28/2023-20:16:29] [I] Idle time: 0ms
[12/28/2023-20:16:29] [I] Streams: 1
[12/28/2023-20:16:29] [I] ExposeDMA: Disabled
[12/28/2023-20:16:29] [I] Data transfers: Enabled
[12/28/2023-20:16:29] [I] Spin-wait: Disabled
[12/28/2023-20:16:29] [I] Multithreading: Disabled
[12/28/2023-20:16:29] [I] CUDA Graph: Disabled
[12/28/2023-20:16:29] [I] Separate profiling: Disabled
[12/28/2023-20:16:29] [I] Time Deserialize: Disabled
[12/28/2023-20:16:29] [I] Time Refit: Disabled
[12/28/2023-20:16:29] [I] NVTX verbosity: 0
[12/28/2023-20:16:29] [I] Persistent Cache Ratio: 0
[12/28/2023-20:16:29] [I] Inputs:
[12/28/2023-20:16:29] [I] === Reporting Options ===
[12/28/2023-20:16:29] [I] Verbose: Disabled
[12/28/2023-20:16:29] [I] Averages: 100 inferences
[12/28/2023-20:16:29] [I] Percentiles: 90,95,99
[12/28/2023-20:16:29] [I] Dump refittable layers:Disabled
[12/28/2023-20:16:29] [I] Dump output: Disabled
[12/28/2023-20:16:29] [I] Profile: Disabled
[12/28/2023-20:16:29] [I] Export timing to JSON file: 
[12/28/2023-20:16:29] [I] Export output to JSON file: 
[12/28/2023-20:16:29] [I] Export profile to JSON file: 
[12/28/2023-20:16:29] [I] 
[12/28/2023-20:16:29] [I] === Device Information ===
[12/28/2023-20:16:29] [I] Selected Device: Orin
[12/28/2023-20:16:29] [I] Compute Capability: 8.7
[12/28/2023-20:16:29] [I] SMs: 8
[12/28/2023-20:16:29] [I] Compute Clock Rate: 0.624 GHz
[12/28/2023-20:16:29] [I] Device Global Memory: 7471 MiB
[12/28/2023-20:16:29] [I] Shared Memory per SM: 164 KiB
[12/28/2023-20:16:29] [I] Memory Bus Width: 128 bits (ECC disabled)
[12/28/2023-20:16:29] [I] Memory Clock Rate: 0.624 GHz
[12/28/2023-20:16:29] [I] 
[12/28/2023-20:16:29] [I] TensorRT version: 8.5.2
[12/28/2023-20:16:29] [I] [TRT] [MemUsageChange] Init CUDA: CPU +220, GPU +0, now: CPU 249, GPU 2967 (MiB)
[12/28/2023-20:16:33] [I] [TRT] [MemUsageChange] Init builder kernel library: CPU +302, GPU +283, now: CPU 574, GPU 3271 (MiB)
[12/28/2023-20:16:33] [I] Start parsing network model
[12/28/2023-20:16:35] [I] [TRT] ----------------------------------------------------------------
[12/28/2023-20:16:35] [I] [TRT] Input filename:   yolo_nas_pose_l_int8.onnx
[12/28/2023-20:16:35] [I] [TRT] ONNX IR version:  0.0.8
[12/28/2023-20:16:35] [I] [TRT] Opset version:    17
[12/28/2023-20:16:35] [I] [TRT] Producer name:    pytorch
[12/28/2023-20:16:35] [I] [TRT] Producer version: 2.1.2
[12/28/2023-20:16:35] [I] [TRT] Domain:           
[12/28/2023-20:16:35] [I] [TRT] Model version:    0
[12/28/2023-20:16:35] [I] [TRT] Doc string:       
[12/28/2023-20:16:35] [I] [TRT] ----------------------------------------------------------------
[12/28/2023-20:16:40] [I] Finish parsing network model
[12/28/2023-20:16:40] [I] FP32 and INT8 precisions have been specified - more performance might be enabled by additionally specifying --fp16 or --best
[12/28/2023-20:16:45] [I] [TRT] ---------- Layers Running on DLA ----------
[12/28/2023-20:16:45] [I] [TRT] ---------- Layers Running on GPU ----------
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] TRAIN_STATION: [trainStation1]
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] MYELIN: {ForeignNode[/pre_process/pre_process.0/Cast.../pre_process/pre_process.2/Mul]}
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONSTANT: (Unnamed Layer* 1417) [Constant]
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONSTANT: (Unnamed Layer* 1418) [Constant]
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONSTANT: (Unnamed Layer* 1419) [Constant]
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/backbone/stem/conv/rbr_reparam/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stem.conv.rbr_reparam.weight + /model/backbone/stem/conv/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stem/conv/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage1.downsample.rbr_reparam.weight + /model/backbone/stage1/downsample/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage1/downsample/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage1.blocks.conv2.conv.weight + /model/backbone/stage1/blocks/conv2/conv/_weight_quantizer/QuantizeLinear + /model/backbone/stage1/blocks/conv2/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage1.blocks.conv1.conv.weight + /model/backbone/stage1/blocks/conv1/conv/_weight_quantizer/QuantizeLinear + /model/backbone/stage1/blocks/conv1/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/backbone/stage1/blocks/bottlenecks/bottlenecks.0/cv1/rbr_reparam/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage1.blocks.bottlenecks.0.cv1.rbr_reparam.weight + /model/backbone/stage1/blocks/bottlenecks/bottlenecks.0/cv1/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage1/blocks/bottlenecks/bottlenecks.0/cv1/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage1.blocks.bottlenecks.0.cv2.rbr_reparam.weight + /model/backbone/stage1/blocks/bottlenecks/bottlenecks.0/cv2/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage1/blocks/bottlenecks/bottlenecks.0/cv2/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.backbone.stage1.blocks.bottlenecks.0.alpha + (Unnamed Layer* 557) [Shuffle] + /model/backbone/stage1/blocks/bottlenecks/bottlenecks.0/Mul, /model/backbone/stage1/blocks/bottlenecks/bottlenecks.0/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/backbone/stage1/blocks/bottlenecks/bottlenecks.1/cv1/rbr_reparam/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage1.blocks.bottlenecks.1.cv1.rbr_reparam.weight + /model/backbone/stage1/blocks/bottlenecks/bottlenecks.1/cv1/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage1/blocks/bottlenecks/bottlenecks.1/cv1/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage1.blocks.bottlenecks.1.cv2.rbr_reparam.weight + /model/backbone/stage1/blocks/bottlenecks/bottlenecks.1/cv2/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage1/blocks/bottlenecks/bottlenecks.1/cv2/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.backbone.stage1.blocks.bottlenecks.1.alpha + (Unnamed Layer* 573) [Shuffle] + /model/backbone/stage1/blocks/bottlenecks/bottlenecks.1/Mul, /model/backbone/stage1/blocks/bottlenecks/bottlenecks.1/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/backbone/stage1/blocks/conv3/conv/_input_quantizer/QuantizeLinear_clone_1
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/backbone/stage1/blocks/conv3/conv/_input_quantizer/QuantizeLinear_clone_0
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage1.blocks.conv3.conv.weight + /model/backbone/stage1/blocks/conv3/conv/_weight_quantizer/QuantizeLinear + /model/backbone/stage1/blocks/conv3/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck2.reduce_skip2.conv.weight + /model/neck/neck2/reduce_skip2/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck2/reduce_skip2/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage2.downsample.rbr_reparam.weight + /model/backbone/stage2/downsample/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage2/downsample/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck2.downsample.conv.weight + /model/neck/neck2/downsample/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck2/downsample/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage2.blocks.conv2.conv.weight + /model/backbone/stage2/blocks/conv2/conv/_weight_quantizer/QuantizeLinear + /model/backbone/stage2/blocks/conv2/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage2.blocks.conv1.conv.weight + /model/backbone/stage2/blocks/conv1/conv/_weight_quantizer/QuantizeLinear + /model/backbone/stage2/blocks/conv1/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/backbone/stage2/blocks/bottlenecks/bottlenecks.0/cv1/rbr_reparam/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage2.blocks.bottlenecks.0.cv1.rbr_reparam.weight + /model/backbone/stage2/blocks/bottlenecks/bottlenecks.0/cv1/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage2/blocks/bottlenecks/bottlenecks.0/cv1/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage2.blocks.bottlenecks.0.cv2.rbr_reparam.weight + /model/backbone/stage2/blocks/bottlenecks/bottlenecks.0/cv2/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage2/blocks/bottlenecks/bottlenecks.0/cv2/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.backbone.stage2.blocks.bottlenecks.0.alpha + (Unnamed Layer* 620) [Shuffle] + /model/backbone/stage2/blocks/bottlenecks/bottlenecks.0/Mul, /model/backbone/stage2/blocks/bottlenecks/bottlenecks.0/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/backbone/stage2/blocks/bottlenecks/bottlenecks.1/cv1/rbr_reparam/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage2.blocks.bottlenecks.1.cv1.rbr_reparam.weight + /model/backbone/stage2/blocks/bottlenecks/bottlenecks.1/cv1/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage2/blocks/bottlenecks/bottlenecks.1/cv1/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage2.blocks.bottlenecks.1.cv2.rbr_reparam.weight + /model/backbone/stage2/blocks/bottlenecks/bottlenecks.1/cv2/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage2/blocks/bottlenecks/bottlenecks.1/cv2/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.backbone.stage2.blocks.bottlenecks.1.alpha + (Unnamed Layer* 636) [Shuffle] + /model/backbone/stage2/blocks/bottlenecks/bottlenecks.1/Mul, /model/backbone/stage2/blocks/bottlenecks/bottlenecks.1/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/backbone/stage2/blocks/bottlenecks/bottlenecks.2/cv1/rbr_reparam/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage2.blocks.bottlenecks.2.cv1.rbr_reparam.weight + /model/backbone/stage2/blocks/bottlenecks/bottlenecks.2/cv1/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage2/blocks/bottlenecks/bottlenecks.2/cv1/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage2.blocks.bottlenecks.2.cv2.rbr_reparam.weight + /model/backbone/stage2/blocks/bottlenecks/bottlenecks.2/cv2/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage2/blocks/bottlenecks/bottlenecks.2/cv2/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.backbone.stage2.blocks.bottlenecks.2.alpha + (Unnamed Layer* 652) [Shuffle] + /model/backbone/stage2/blocks/bottlenecks/bottlenecks.2/Mul, /model/backbone/stage2/blocks/bottlenecks/bottlenecks.2/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/backbone/stage2/blocks/conv3/conv/_input_quantizer/QuantizeLinear_clone_2
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/backbone/stage2/blocks/conv3/conv/_input_quantizer/QuantizeLinear_clone_1
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/backbone/stage2/blocks/conv3/conv/_input_quantizer/QuantizeLinear_clone_0
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage2.blocks.conv3.conv.weight + /model/backbone/stage2/blocks/conv3/conv/_weight_quantizer/QuantizeLinear + /model/backbone/stage2/blocks/conv3/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck1.reduce_skip2.conv.weight + /model/neck/neck1/reduce_skip2/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck1/reduce_skip2/conv/Conv || model.neck.neck2.reduce_skip1.conv.weight + /model/neck/neck2/reduce_skip1/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck2/reduce_skip1/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage3.downsample.rbr_reparam.weight + /model/backbone/stage3/downsample/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage3/downsample/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck1.downsample.conv.weight + /model/neck/neck1/downsample/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck1/downsample/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage3.blocks.conv2.conv.weight + /model/backbone/stage3/blocks/conv2/conv/_weight_quantizer/QuantizeLinear + /model/backbone/stage3/blocks/conv2/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage3.blocks.conv1.conv.weight + /model/backbone/stage3/blocks/conv1/conv/_weight_quantizer/QuantizeLinear + /model/backbone/stage3/blocks/conv1/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/backbone/stage3/blocks/bottlenecks/bottlenecks.0/cv1/rbr_reparam/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage3.blocks.bottlenecks.0.cv1.rbr_reparam.weight + /model/backbone/stage3/blocks/bottlenecks/bottlenecks.0/cv1/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage3/blocks/bottlenecks/bottlenecks.0/cv1/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage3.blocks.bottlenecks.0.cv2.rbr_reparam.weight + /model/backbone/stage3/blocks/bottlenecks/bottlenecks.0/cv2/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage3/blocks/bottlenecks/bottlenecks.0/cv2/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.backbone.stage3.blocks.bottlenecks.0.alpha + (Unnamed Layer* 702) [Shuffle] + /model/backbone/stage3/blocks/bottlenecks/bottlenecks.0/Mul, /model/backbone/stage3/blocks/bottlenecks/bottlenecks.0/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/backbone/stage3/blocks/bottlenecks/bottlenecks.1/cv1/rbr_reparam/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage3.blocks.bottlenecks.1.cv1.rbr_reparam.weight + /model/backbone/stage3/blocks/bottlenecks/bottlenecks.1/cv1/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage3/blocks/bottlenecks/bottlenecks.1/cv1/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage3.blocks.bottlenecks.1.cv2.rbr_reparam.weight + /model/backbone/stage3/blocks/bottlenecks/bottlenecks.1/cv2/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage3/blocks/bottlenecks/bottlenecks.1/cv2/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.backbone.stage3.blocks.bottlenecks.1.alpha + (Unnamed Layer* 718) [Shuffle] + /model/backbone/stage3/blocks/bottlenecks/bottlenecks.1/Mul, /model/backbone/stage3/blocks/bottlenecks/bottlenecks.1/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/backbone/stage3/blocks/bottlenecks/bottlenecks.2/cv1/rbr_reparam/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage3.blocks.bottlenecks.2.cv1.rbr_reparam.weight + /model/backbone/stage3/blocks/bottlenecks/bottlenecks.2/cv1/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage3/blocks/bottlenecks/bottlenecks.2/cv1/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage3.blocks.bottlenecks.2.cv2.rbr_reparam.weight + /model/backbone/stage3/blocks/bottlenecks/bottlenecks.2/cv2/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage3/blocks/bottlenecks/bottlenecks.2/cv2/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.backbone.stage3.blocks.bottlenecks.2.alpha + (Unnamed Layer* 734) [Shuffle] + /model/backbone/stage3/blocks/bottlenecks/bottlenecks.2/Mul, /model/backbone/stage3/blocks/bottlenecks/bottlenecks.2/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/backbone/stage3/blocks/bottlenecks/bottlenecks.3/cv1/rbr_reparam/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage3.blocks.bottlenecks.3.cv1.rbr_reparam.weight + /model/backbone/stage3/blocks/bottlenecks/bottlenecks.3/cv1/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage3/blocks/bottlenecks/bottlenecks.3/cv1/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage3.blocks.bottlenecks.3.cv2.rbr_reparam.weight + /model/backbone/stage3/blocks/bottlenecks/bottlenecks.3/cv2/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage3/blocks/bottlenecks/bottlenecks.3/cv2/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.backbone.stage3.blocks.bottlenecks.3.alpha + (Unnamed Layer* 750) [Shuffle] + /model/backbone/stage3/blocks/bottlenecks/bottlenecks.3/Mul, /model/backbone/stage3/blocks/bottlenecks/bottlenecks.3/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/backbone/stage3/blocks/bottlenecks/bottlenecks.4/cv1/rbr_reparam/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage3.blocks.bottlenecks.4.cv1.rbr_reparam.weight + /model/backbone/stage3/blocks/bottlenecks/bottlenecks.4/cv1/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage3/blocks/bottlenecks/bottlenecks.4/cv1/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage3.blocks.bottlenecks.4.cv2.rbr_reparam.weight + /model/backbone/stage3/blocks/bottlenecks/bottlenecks.4/cv2/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage3/blocks/bottlenecks/bottlenecks.4/cv2/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.backbone.stage3.blocks.bottlenecks.4.alpha + (Unnamed Layer* 766) [Shuffle] + /model/backbone/stage3/blocks/bottlenecks/bottlenecks.4/Mul, /model/backbone/stage3/blocks/bottlenecks/bottlenecks.4/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/backbone/stage3/blocks/conv3/conv/_input_quantizer/QuantizeLinear_clone_4
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/backbone/stage3/blocks/conv3/conv/_input_quantizer/QuantizeLinear_clone_2
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/backbone/stage3/blocks/conv3/conv/_input_quantizer/QuantizeLinear_clone_1
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/backbone/stage3/blocks/conv3/conv/_input_quantizer/QuantizeLinear_clone_0
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage3.blocks.conv3.conv.weight + /model/backbone/stage3/blocks/conv3/conv/_weight_quantizer/QuantizeLinear + /model/backbone/stage3/blocks/conv3/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck1.reduce_skip1.conv.weight + /model/neck/neck1/reduce_skip1/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck1/reduce_skip1/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage4.downsample.rbr_reparam.weight + /model/backbone/stage4/downsample/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage4/downsample/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage4.blocks.conv2.conv.weight + /model/backbone/stage4/blocks/conv2/conv/_weight_quantizer/QuantizeLinear + /model/backbone/stage4/blocks/conv2/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage4.blocks.conv1.conv.weight + /model/backbone/stage4/blocks/conv1/conv/_weight_quantizer/QuantizeLinear + /model/backbone/stage4/blocks/conv1/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/backbone/stage4/blocks/bottlenecks/bottlenecks.0/cv1/rbr_reparam/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage4.blocks.bottlenecks.0.cv1.rbr_reparam.weight + /model/backbone/stage4/blocks/bottlenecks/bottlenecks.0/cv1/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage4/blocks/bottlenecks/bottlenecks.0/cv1/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage4.blocks.bottlenecks.0.cv2.rbr_reparam.weight + /model/backbone/stage4/blocks/bottlenecks/bottlenecks.0/cv2/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage4/blocks/bottlenecks/bottlenecks.0/cv2/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.backbone.stage4.blocks.bottlenecks.0.alpha + (Unnamed Layer* 806) [Shuffle] + /model/backbone/stage4/blocks/bottlenecks/bottlenecks.0/Mul, /model/backbone/stage4/blocks/bottlenecks/bottlenecks.0/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/backbone/stage4/blocks/bottlenecks/bottlenecks.1/cv1/rbr_reparam/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage4.blocks.bottlenecks.1.cv1.rbr_reparam.weight + /model/backbone/stage4/blocks/bottlenecks/bottlenecks.1/cv1/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage4/blocks/bottlenecks/bottlenecks.1/cv1/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage4.blocks.bottlenecks.1.cv2.rbr_reparam.weight + /model/backbone/stage4/blocks/bottlenecks/bottlenecks.1/cv2/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/backbone/stage4/blocks/bottlenecks/bottlenecks.1/cv2/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.backbone.stage4.blocks.bottlenecks.1.alpha + (Unnamed Layer* 822) [Shuffle] + /model/backbone/stage4/blocks/bottlenecks/bottlenecks.1/Mul, /model/backbone/stage4/blocks/bottlenecks/bottlenecks.1/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/backbone/stage4/blocks/conv3/conv/_input_quantizer/QuantizeLinear_clone_1
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/backbone/stage4/blocks/conv3/conv/_input_quantizer/QuantizeLinear_clone_0
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.stage4.blocks.conv3.conv.weight + /model/backbone/stage4/blocks/conv3/conv/_weight_quantizer/QuantizeLinear + /model/backbone/stage4/blocks/conv3/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.context_module.cv1.conv.weight + /model/backbone/context_module/cv1/conv/_weight_quantizer/QuantizeLinear + /model/backbone/context_module/cv1/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POOLING: /model/backbone/context_module/m.2/MaxPool
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POOLING: /model/backbone/context_module/m.1/MaxPool
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POOLING: /model/backbone/context_module/m.0/MaxPool
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/backbone/context_module/m.2/MaxPool_output_0 copy
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.backbone.context_module.cv2.conv.weight + /model/backbone/context_module/cv2/conv/_weight_quantizer/QuantizeLinear + /model/backbone/context_module/cv2/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck1.conv.conv.weight + /model/neck/neck1/conv/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck1/conv/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] DECONVOLUTION: model.neck.neck1.upsample.weight + /model/neck/neck1/upsample/_weight_quantizer/QuantizeLinear + /model/neck/neck1/upsample/ConvTranspose
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck1.reduce_after_concat.conv.weight + /model/neck/neck1/reduce_after_concat/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck1/reduce_after_concat/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck1.blocks.conv2.conv.weight + /model/neck/neck1/blocks/conv2/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck1/blocks/conv2/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck1.blocks.conv1.conv.weight + /model/neck/neck1/blocks/conv1/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck1/blocks/conv1/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/neck/neck1/blocks/bottlenecks/bottlenecks.0/cv1/rbr_reparam/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck1.blocks.bottlenecks.0.cv1.rbr_reparam.weight + /model/neck/neck1/blocks/bottlenecks/bottlenecks.0/cv1/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/neck/neck1/blocks/bottlenecks/bottlenecks.0/cv1/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck1.blocks.bottlenecks.0.cv2.rbr_reparam.weight + /model/neck/neck1/blocks/bottlenecks/bottlenecks.0/cv2/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/neck/neck1/blocks/bottlenecks/bottlenecks.0/cv2/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.neck.neck1.blocks.bottlenecks.0.alpha + (Unnamed Layer* 887) [Shuffle] + /model/neck/neck1/blocks/bottlenecks/bottlenecks.0/Mul, /model/neck/neck1/blocks/bottlenecks/bottlenecks.0/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/neck/neck1/blocks/bottlenecks/bottlenecks.1/cv1/rbr_reparam/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck1.blocks.bottlenecks.1.cv1.rbr_reparam.weight + /model/neck/neck1/blocks/bottlenecks/bottlenecks.1/cv1/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/neck/neck1/blocks/bottlenecks/bottlenecks.1/cv1/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck1.blocks.bottlenecks.1.cv2.rbr_reparam.weight + /model/neck/neck1/blocks/bottlenecks/bottlenecks.1/cv2/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/neck/neck1/blocks/bottlenecks/bottlenecks.1/cv2/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.neck.neck1.blocks.bottlenecks.1.alpha + (Unnamed Layer* 903) [Shuffle] + /model/neck/neck1/blocks/bottlenecks/bottlenecks.1/Mul, /model/neck/neck1/blocks/bottlenecks/bottlenecks.1/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/neck/neck1/blocks/bottlenecks/bottlenecks.2/cv1/rbr_reparam/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck1.blocks.bottlenecks.2.cv1.rbr_reparam.weight + /model/neck/neck1/blocks/bottlenecks/bottlenecks.2/cv1/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/neck/neck1/blocks/bottlenecks/bottlenecks.2/cv1/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck1.blocks.bottlenecks.2.cv2.rbr_reparam.weight + /model/neck/neck1/blocks/bottlenecks/bottlenecks.2/cv2/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/neck/neck1/blocks/bottlenecks/bottlenecks.2/cv2/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.neck.neck1.blocks.bottlenecks.2.alpha + (Unnamed Layer* 919) [Shuffle] + /model/neck/neck1/blocks/bottlenecks/bottlenecks.2/Mul, /model/neck/neck1/blocks/bottlenecks/bottlenecks.2/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/neck/neck1/blocks/bottlenecks/bottlenecks.3/cv1/rbr_reparam/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck1.blocks.bottlenecks.3.cv1.rbr_reparam.weight + /model/neck/neck1/blocks/bottlenecks/bottlenecks.3/cv1/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/neck/neck1/blocks/bottlenecks/bottlenecks.3/cv1/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck1.blocks.bottlenecks.3.cv2.rbr_reparam.weight + /model/neck/neck1/blocks/bottlenecks/bottlenecks.3/cv2/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/neck/neck1/blocks/bottlenecks/bottlenecks.3/cv2/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.neck.neck1.blocks.bottlenecks.3.alpha + (Unnamed Layer* 935) [Shuffle] + /model/neck/neck1/blocks/bottlenecks/bottlenecks.3/Mul, /model/neck/neck1/blocks/bottlenecks/bottlenecks.3/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck1.blocks.conv3.conv.weight + /model/neck/neck1/blocks/conv3/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck1/blocks/conv3/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck2.conv.conv.weight + /model/neck/neck2/conv/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck2/conv/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] DECONVOLUTION: model.neck.neck2.upsample.weight + /model/neck/neck2/upsample/_weight_quantizer/QuantizeLinear + /model/neck/neck2/upsample/ConvTranspose
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/neck/neck2/Concat_/model/neck/neck2/reduce_skip1/act/Relu_output_0_clone_1 copy
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck2.reduce_after_concat.conv.weight + /model/neck/neck2/reduce_after_concat/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck2/reduce_after_concat/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck2.blocks.conv2.conv.weight + /model/neck/neck2/blocks/conv2/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck2/blocks/conv2/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck2.blocks.conv1.conv.weight + /model/neck/neck2/blocks/conv1/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck2/blocks/conv1/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/neck/neck2/blocks/bottlenecks/bottlenecks.0/cv1/rbr_reparam/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck2.blocks.bottlenecks.0.cv1.rbr_reparam.weight + /model/neck/neck2/blocks/bottlenecks/bottlenecks.0/cv1/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/neck/neck2/blocks/bottlenecks/bottlenecks.0/cv1/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck2.blocks.bottlenecks.0.cv2.rbr_reparam.weight + /model/neck/neck2/blocks/bottlenecks/bottlenecks.0/cv2/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/neck/neck2/blocks/bottlenecks/bottlenecks.0/cv2/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.neck.neck2.blocks.bottlenecks.0.alpha + (Unnamed Layer* 984) [Shuffle] + /model/neck/neck2/blocks/bottlenecks/bottlenecks.0/Mul, /model/neck/neck2/blocks/bottlenecks/bottlenecks.0/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/neck/neck2/blocks/bottlenecks/bottlenecks.1/cv1/rbr_reparam/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck2.blocks.bottlenecks.1.cv1.rbr_reparam.weight + /model/neck/neck2/blocks/bottlenecks/bottlenecks.1/cv1/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/neck/neck2/blocks/bottlenecks/bottlenecks.1/cv1/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck2.blocks.bottlenecks.1.cv2.rbr_reparam.weight + /model/neck/neck2/blocks/bottlenecks/bottlenecks.1/cv2/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/neck/neck2/blocks/bottlenecks/bottlenecks.1/cv2/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.neck.neck2.blocks.bottlenecks.1.alpha + (Unnamed Layer* 1000) [Shuffle] + /model/neck/neck2/blocks/bottlenecks/bottlenecks.1/Mul, /model/neck/neck2/blocks/bottlenecks/bottlenecks.1/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/neck/neck2/blocks/bottlenecks/bottlenecks.2/cv1/rbr_reparam/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck2.blocks.bottlenecks.2.cv1.rbr_reparam.weight + /model/neck/neck2/blocks/bottlenecks/bottlenecks.2/cv1/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/neck/neck2/blocks/bottlenecks/bottlenecks.2/cv1/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck2.blocks.bottlenecks.2.cv2.rbr_reparam.weight + /model/neck/neck2/blocks/bottlenecks/bottlenecks.2/cv2/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/neck/neck2/blocks/bottlenecks/bottlenecks.2/cv2/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.neck.neck2.blocks.bottlenecks.2.alpha + (Unnamed Layer* 1016) [Shuffle] + /model/neck/neck2/blocks/bottlenecks/bottlenecks.2/Mul, /model/neck/neck2/blocks/bottlenecks/bottlenecks.2/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/neck/neck2/blocks/bottlenecks/bottlenecks.3/cv1/rbr_reparam/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck2.blocks.bottlenecks.3.cv1.rbr_reparam.weight + /model/neck/neck2/blocks/bottlenecks/bottlenecks.3/cv1/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/neck/neck2/blocks/bottlenecks/bottlenecks.3/cv1/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck2.blocks.bottlenecks.3.cv2.rbr_reparam.weight + /model/neck/neck2/blocks/bottlenecks/bottlenecks.3/cv2/rbr_reparam/_weight_quantizer/QuantizeLinear + /model/neck/neck2/blocks/bottlenecks/bottlenecks.3/cv2/rbr_reparam/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.neck.neck2.blocks.bottlenecks.3.alpha + (Unnamed Layer* 1032) [Shuffle] + /model/neck/neck2/blocks/bottlenecks/bottlenecks.3/Mul, /model/neck/neck2/blocks/bottlenecks/bottlenecks.3/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck2.blocks.conv3.conv.weight + /model/neck/neck2/blocks/conv3/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck2/blocks/conv3/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.heads.head1.bbox_stem.seq.conv.weight + /model/heads/head1/bbox_stem/seq/conv/_weight_quantizer/QuantizeLinear + /model/heads/head1/bbox_stem/seq/conv/Conv || model.heads.head1.pose_stem.seq.conv.weight + /model/heads/head1/pose_stem/seq/conv/_weight_quantizer/QuantizeLinear + /model/heads/head1/pose_stem/seq/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck3.conv.conv.weight + /model/neck/neck3/conv/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck3/conv/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.heads.head1.reg_convs.0.seq.conv.weight + /model/heads/head1/reg_convs/reg_convs.0/seq/conv/_weight_quantizer/QuantizeLinear + /model/heads/head1/reg_convs/reg_convs.0/seq/conv/Conv || model.heads.head1.cls_convs.0.seq.conv.weight + /model/heads/head1/cls_convs/cls_convs.0/seq/conv/_weight_quantizer/QuantizeLinear + /model/heads/head1/cls_convs/cls_convs.0/seq/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.heads.head1.pose_convs.0.seq.conv.weight + /model/heads/head1/pose_convs/pose_convs.0/seq/conv/_weight_quantizer/QuantizeLinear + /model/heads/head1/pose_convs/pose_convs.0/seq/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck3.blocks.conv2.conv.weight + /model/neck/neck3/blocks/conv2/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck3/blocks/conv2/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck3.blocks.conv1.conv.weight + /model/neck/neck3/blocks/conv1/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck3/blocks/conv1/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.heads.head1.cls_pred.weight + /model/heads/head1/cls_pred/_weight_quantizer/QuantizeLinear + /model/heads/head1/cls_pred/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.heads.head1.reg_pred.weight + /model/heads/head1/reg_pred/_weight_quantizer/QuantizeLinear + /model/heads/head1/reg_pred/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.heads.head1.pose_convs.1.seq.conv.weight + /model/heads/head1/pose_convs/pose_convs.1/seq/conv/_weight_quantizer/QuantizeLinear + /model/heads/head1/pose_convs/pose_convs.1/seq/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/neck/neck3/blocks/bottlenecks/bottlenecks.0/cv1/conv/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] SHUFFLE: /model/heads/Reshape + /model/heads/Transpose
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.heads.head1.pose_pred.weight + /model/heads/head1/pose_pred/_weight_quantizer/QuantizeLinear + /model/heads/head1/pose_pred/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck3.blocks.bottlenecks.0.cv1.conv.weight + /model/neck/neck3/blocks/bottlenecks/bottlenecks.0/cv1/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck3/blocks/bottlenecks/bottlenecks.0/cv1/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] SOFTMAX: /model/heads/Softmax
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck3.blocks.bottlenecks.0.cv2.conv.weight + /model/neck/neck3/blocks/bottlenecks/bottlenecks.0/cv2/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck3/blocks/bottlenecks/bottlenecks.0/cv2/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: /model/heads/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.neck.neck3.blocks.bottlenecks.0.alpha + (Unnamed Layer* 1097) [Shuffle] + /model/neck/neck3/blocks/bottlenecks/bottlenecks.0/Mul, /model/neck/neck3/blocks/bottlenecks/bottlenecks.0/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/neck/neck3/blocks/bottlenecks/bottlenecks.1/cv1/conv/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck3.blocks.bottlenecks.1.cv1.conv.weight + /model/neck/neck3/blocks/bottlenecks/bottlenecks.1/cv1/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck3/blocks/bottlenecks/bottlenecks.1/cv1/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck3.blocks.bottlenecks.1.cv2.conv.weight + /model/neck/neck3/blocks/bottlenecks/bottlenecks.1/cv2/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck3/blocks/bottlenecks/bottlenecks.1/cv2/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.neck.neck3.blocks.bottlenecks.1.alpha + (Unnamed Layer* 1138) [Shuffle] + /model/neck/neck3/blocks/bottlenecks/bottlenecks.1/Mul, /model/neck/neck3/blocks/bottlenecks/bottlenecks.1/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/neck/neck3/blocks/bottlenecks/bottlenecks.2/cv1/conv/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck3.blocks.bottlenecks.2.cv1.conv.weight + /model/neck/neck3/blocks/bottlenecks/bottlenecks.2/cv1/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck3/blocks/bottlenecks/bottlenecks.2/cv1/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck3.blocks.bottlenecks.2.cv2.conv.weight + /model/neck/neck3/blocks/bottlenecks/bottlenecks.2/cv2/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck3/blocks/bottlenecks/bottlenecks.2/cv2/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.neck.neck3.blocks.bottlenecks.2.alpha + (Unnamed Layer* 1154) [Shuffle] + /model/neck/neck3/blocks/bottlenecks/bottlenecks.2/Mul, /model/neck/neck3/blocks/bottlenecks/bottlenecks.2/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/neck/neck3/blocks/bottlenecks/bottlenecks.3/cv1/conv/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck3.blocks.bottlenecks.3.cv1.conv.weight + /model/neck/neck3/blocks/bottlenecks/bottlenecks.3/cv1/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck3/blocks/bottlenecks/bottlenecks.3/cv1/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck3.blocks.bottlenecks.3.cv2.conv.weight + /model/neck/neck3/blocks/bottlenecks/bottlenecks.3/cv2/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck3/blocks/bottlenecks/bottlenecks.3/cv2/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.neck.neck3.blocks.bottlenecks.3.alpha + (Unnamed Layer* 1170) [Shuffle] + /model/neck/neck3/blocks/bottlenecks/bottlenecks.3/Mul, /model/neck/neck3/blocks/bottlenecks/bottlenecks.3/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck3.blocks.conv3.conv.weight + /model/neck/neck3/blocks/conv3/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck3/blocks/conv3/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.heads.head2.pose_stem.seq.conv.weight + /model/heads/head2/pose_stem/seq/conv/_weight_quantizer/QuantizeLinear + /model/heads/head2/pose_stem/seq/conv/Conv || model.heads.head2.bbox_stem.seq.conv.weight + /model/heads/head2/bbox_stem/seq/conv/_weight_quantizer/QuantizeLinear + /model/heads/head2/bbox_stem/seq/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck4.conv.conv.weight + /model/neck/neck4/conv/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck4/conv/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.heads.head2.reg_convs.0.seq.conv.weight + /model/heads/head2/reg_convs/reg_convs.0/seq/conv/_weight_quantizer/QuantizeLinear + /model/heads/head2/reg_convs/reg_convs.0/seq/conv/Conv || model.heads.head2.cls_convs.0.seq.conv.weight + /model/heads/head2/cls_convs/cls_convs.0/seq/conv/_weight_quantizer/QuantizeLinear + /model/heads/head2/cls_convs/cls_convs.0/seq/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.heads.head2.pose_convs.0.seq.conv.weight + /model/heads/head2/pose_convs/pose_convs.0/seq/conv/_weight_quantizer/QuantizeLinear + /model/heads/head2/pose_convs/pose_convs.0/seq/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck4.blocks.conv2.conv.weight + /model/neck/neck4/blocks/conv2/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck4/blocks/conv2/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck4.blocks.conv1.conv.weight + /model/neck/neck4/blocks/conv1/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck4/blocks/conv1/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.heads.head2.cls_pred.weight + /model/heads/head2/cls_pred/_weight_quantizer/QuantizeLinear + /model/heads/head2/cls_pred/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.heads.head2.reg_pred.weight + /model/heads/head2/reg_pred/_weight_quantizer/QuantizeLinear + /model/heads/head2/reg_pred/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.heads.head2.pose_convs.1.seq.conv.weight + /model/heads/head2/pose_convs/pose_convs.1/seq/conv/_weight_quantizer/QuantizeLinear + /model/heads/head2/pose_convs/pose_convs.1/seq/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/neck/neck4/blocks/bottlenecks/bottlenecks.0/cv1/conv/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] SHUFFLE: /model/heads/Reshape_4 + /model/heads/Transpose_3
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.heads.head2.pose_pred.weight + /model/heads/head2/pose_pred/_weight_quantizer/QuantizeLinear + /model/heads/head2/pose_pred/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck4.blocks.bottlenecks.0.cv1.conv.weight + /model/neck/neck4/blocks/bottlenecks/bottlenecks.0/cv1/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck4/blocks/bottlenecks/bottlenecks.0/cv1/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] SOFTMAX: /model/heads/Softmax_1
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck4.blocks.bottlenecks.0.cv2.conv.weight + /model/neck/neck4/blocks/bottlenecks/bottlenecks.0/cv2/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck4/blocks/bottlenecks/bottlenecks.0/cv2/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: /model/heads/Conv_1
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.neck.neck4.blocks.bottlenecks.0.alpha + (Unnamed Layer* 1235) [Shuffle] + /model/neck/neck4/blocks/bottlenecks/bottlenecks.0/Mul, /model/neck/neck4/blocks/bottlenecks/bottlenecks.0/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/neck/neck4/blocks/bottlenecks/bottlenecks.1/cv1/conv/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck4.blocks.bottlenecks.1.cv1.conv.weight + /model/neck/neck4/blocks/bottlenecks/bottlenecks.1/cv1/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck4/blocks/bottlenecks/bottlenecks.1/cv1/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck4.blocks.bottlenecks.1.cv2.conv.weight + /model/neck/neck4/blocks/bottlenecks/bottlenecks.1/cv2/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck4/blocks/bottlenecks/bottlenecks.1/cv2/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.neck.neck4.blocks.bottlenecks.1.alpha + (Unnamed Layer* 1276) [Shuffle] + /model/neck/neck4/blocks/bottlenecks/bottlenecks.1/Mul, /model/neck/neck4/blocks/bottlenecks/bottlenecks.1/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/neck/neck4/blocks/bottlenecks/bottlenecks.2/cv1/conv/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck4.blocks.bottlenecks.2.cv1.conv.weight + /model/neck/neck4/blocks/bottlenecks/bottlenecks.2/cv1/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck4/blocks/bottlenecks/bottlenecks.2/cv1/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck4.blocks.bottlenecks.2.cv2.conv.weight + /model/neck/neck4/blocks/bottlenecks/bottlenecks.2/cv2/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck4/blocks/bottlenecks/bottlenecks.2/cv2/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.neck.neck4.blocks.bottlenecks.2.alpha + (Unnamed Layer* 1292) [Shuffle] + /model/neck/neck4/blocks/bottlenecks/bottlenecks.2/Mul, /model/neck/neck4/blocks/bottlenecks/bottlenecks.2/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] COPY: /model/neck/neck4/blocks/bottlenecks/bottlenecks.3/cv1/conv/_input_quantizer/QuantizeLinear
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck4.blocks.bottlenecks.3.cv1.conv.weight + /model/neck/neck4/blocks/bottlenecks/bottlenecks.3/cv1/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck4/blocks/bottlenecks/bottlenecks.3/cv1/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck4.blocks.bottlenecks.3.cv2.conv.weight + /model/neck/neck4/blocks/bottlenecks/bottlenecks.3/cv2/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck4/blocks/bottlenecks/bottlenecks.3/cv2/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] POINTWISE: PWN(model.neck.neck4.blocks.bottlenecks.3.alpha + (Unnamed Layer* 1308) [Shuffle] + /model/neck/neck4/blocks/bottlenecks/bottlenecks.3/Mul, /model/neck/neck4/blocks/bottlenecks/bottlenecks.3/Add)
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.neck.neck4.blocks.conv3.conv.weight + /model/neck/neck4/blocks/conv3/conv/_weight_quantizer/QuantizeLinear + /model/neck/neck4/blocks/conv3/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.heads.head3.bbox_stem.seq.conv.weight + /model/heads/head3/bbox_stem/seq/conv/_weight_quantizer/QuantizeLinear + /model/heads/head3/bbox_stem/seq/conv/Conv || model.heads.head3.pose_stem.seq.conv.weight + /model/heads/head3/pose_stem/seq/conv/_weight_quantizer/QuantizeLinear + /model/heads/head3/pose_stem/seq/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.heads.head3.reg_convs.0.seq.conv.weight + /model/heads/head3/reg_convs/reg_convs.0/seq/conv/_weight_quantizer/QuantizeLinear + /model/heads/head3/reg_convs/reg_convs.0/seq/conv/Conv || model.heads.head3.cls_convs.0.seq.conv.weight + /model/heads/head3/cls_convs/cls_convs.0/seq/conv/_weight_quantizer/QuantizeLinear + /model/heads/head3/cls_convs/cls_convs.0/seq/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.heads.head3.pose_convs.0.seq.conv.weight + /model/heads/head3/pose_convs/pose_convs.0/seq/conv/_weight_quantizer/QuantizeLinear + /model/heads/head3/pose_convs/pose_convs.0/seq/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.heads.head3.cls_pred.weight + /model/heads/head3/cls_pred/_weight_quantizer/QuantizeLinear + /model/heads/head3/cls_pred/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.heads.head3.reg_pred.weight + /model/heads/head3/reg_pred/_weight_quantizer/QuantizeLinear + /model/heads/head3/reg_pred/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.heads.head3.pose_convs.1.seq.conv.weight + /model/heads/head3/pose_convs/pose_convs.1/seq/conv/_weight_quantizer/QuantizeLinear + /model/heads/head3/pose_convs/pose_convs.1/seq/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] SHUFFLE: /model/heads/Reshape_8 + /model/heads/Transpose_6
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.heads.head3.pose_convs.2.seq.conv.weight + /model/heads/head3/pose_convs/pose_convs.2/seq/conv/_weight_quantizer/QuantizeLinear + /model/heads/head3/pose_convs/pose_convs.2/seq/conv/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] SOFTMAX: /model/heads/Softmax_2
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: model.heads.head3.pose_pred.weight + /model/heads/head3/pose_pred/_weight_quantizer/QuantizeLinear + /model/heads/head3/pose_pred/Conv
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] CONVOLUTION: /model/heads/Conv_2
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] MYELIN: {ForeignNode[/model/heads/head1/Slice_1.../post_process/Reshape_2]}
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] NMS: batched_nms_274
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] DEVICE_TO_SHAPE_HOST: (Unnamed Layer* 1421) [NMS]_1_output[DevicetoShapeHostCopy]
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] TRAIN_STATION: [trainStation2]
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] MYELIN: {ForeignNode[/model/heads/head1/Slice...graph2_/Concat_5]}
[12/28/2023-20:16:45] [I] [TRT] [GpuLayer] TRAIN_STATION: [trainStation3]
[12/28/2023-20:16:46] [I] [TRT] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +534, GPU +481, now: CPU 1532, GPU 4180 (MiB)
[12/28/2023-20:16:47] [I] [TRT] [MemUsageChange] Init cuDNN: CPU +83, GPU +76, now: CPU 1615, GPU 4256 (MiB)
[12/28/2023-20:16:47] [I] [TRT] Local timing cache in use. Profiling results in this builder pass will not be stored.
[12/28/2023-20:30:40] [I] [TRT] Total Activation Memory: 8076738048
[12/28/2023-20:30:40] [I] [TRT] Detected 1 inputs and 1 output network tensors.
[12/28/2023-20:30:46] [I] [TRT] Total Host Persistent Memory: 355104
[12/28/2023-20:30:46] [I] [TRT] Total Device Persistent Memory: 38912
[12/28/2023-20:30:46] [I] [TRT] Total Scratch Memory: 134217728
[12/28/2023-20:30:46] [I] [TRT] [MemUsageStats] Peak memory usage of TRT CPU/GPU memory allocators: CPU 264 MiB, GPU 132 MiB
[12/28/2023-20:30:46] [I] [TRT] [BlockAssignment] Started assigning block shifts. This will take 194 steps to complete.
[12/28/2023-20:30:46] [I] [TRT] [BlockAssignment] Algorithm ShiftNTopDown took 71.4503ms to assign 13 blocks to 194 nodes requiring 183278080 bytes.
[12/28/2023-20:30:46] [I] [TRT] Total Activation Memory: 183278080
[12/28/2023-20:30:48] [I] [TRT] [MemUsageChange] Init cuDNN: CPU +1, GPU +7, now: CPU 2003, GPU 5811 (MiB)
[12/28/2023-20:30:48] [I] [TRT] [MemUsageChange] TensorRT-managed allocation in building engine: CPU +52, GPU +64, now: CPU 52, GPU 64 (MiB)
[12/28/2023-20:30:48] [I] Engine built in 859.207 sec.
[12/28/2023-20:30:48] [I] [TRT] Loaded engine size: 54 MiB
[12/28/2023-20:30:48] [I] [TRT] [MemUsageChange] Init cuDNN: CPU +0, GPU +11, now: CPU 1289, GPU 5551 (MiB)
[12/28/2023-20:30:48] [I] [TRT] [MemUsageChange] TensorRT-managed allocation in engine deserialization: CPU +0, GPU +52, now: CPU 0, GPU 52 (MiB)
[12/28/2023-20:30:48] [I] Engine deserialized in 0.183216 sec.
[12/28/2023-20:30:49] [I] [TRT] [MemUsageChange] Init cuDNN: CPU +0, GPU +6, now: CPU 1289, GPU 5551 (MiB)
[12/28/2023-20:30:49] [I] [TRT] [MemUsageChange] TensorRT-managed allocation in IExecutionContext creation: CPU +0, GPU +175, now: CPU 0, GPU 227 (MiB)
[12/28/2023-20:30:49] [I] Setting persistentCacheLimit to 0 bytes.
[12/28/2023-20:30:49] [I] Using random values for input onnx::Cast_0
[12/28/2023-20:30:49] [I] Created input binding for onnx::Cast_0 with dimensions 1x3x640x640
[12/28/2023-20:30:49] [I] Using random values for output graph2_flat_predictions
[12/28/2023-20:30:49] [I] Created output binding for graph2_flat_predictions with dimensions -1x57
[12/28/2023-20:30:49] [I] Starting inference
[12/28/2023-20:31:04] [I] Warmup completed 5 queries over 200 ms
[12/28/2023-20:31:04] [I] Timing trace has 467 queries over 15.0803 s
[12/28/2023-20:31:04] [I] 
[12/28/2023-20:31:04] [I] === Trace details ===
[12/28/2023-20:31:04] [I] Trace averages of 100 runs:
[12/28/2023-20:31:04] [I] Average on 100 runs - GPU latency: 32.4935 ms - Host latency: 32.6124 ms (enqueue 32.5531 ms)
[12/28/2023-20:31:04] [I] Average on 100 runs - GPU latency: 32.0289 ms - Host latency: 32.1442 ms (enqueue 32.092 ms)
[12/28/2023-20:31:04] [I] Average on 100 runs - GPU latency: 31.9715 ms - Host latency: 32.0855 ms (enqueue 32.0299 ms)
[12/28/2023-20:31:04] [I] Average on 100 runs - GPU latency: 32.1741 ms - Host latency: 32.2872 ms (enqueue 32.2448 ms)
[12/28/2023-20:31:04] [I] 
[12/28/2023-20:31:04] [I] === Performance summary ===
[12/28/2023-20:31:04] [I] Throughput: 30.9676 qps
[12/28/2023-20:31:04] [I] Latency: min = 29.5527 ms, max = 48.669 ms, mean = 32.255 ms, median = 31.8447 ms, percentile(90%) = 33.2435 ms, percentile(95%) = 35.3904 ms, percentile(99%) = 42.4307 ms
[12/28/2023-20:31:04] [I] Enqueue Time: min = 29.5156 ms, max = 48.6032 ms, mean = 32.204 ms, median = 31.8164 ms, percentile(90%) = 32.9639 ms, percentile(95%) = 35.3633 ms, percentile(99%) = 42.3721 ms
[12/28/2023-20:31:04] [I] H2D Latency: min = 0.0800781 ms, max = 0.116211 ms, mean = 0.0943801 ms, median = 0.0952148 ms, percentile(90%) = 0.0976562 ms, percentile(95%) = 0.0981445 ms, percentile(99%) = 0.107422 ms
[12/28/2023-20:31:04] [I] GPU Compute Time: min = 29.4414 ms, max = 48.5475 ms, mean = 32.1403 ms, median = 31.7275 ms, percentile(90%) = 33.1393 ms, percentile(95%) = 35.2798 ms, percentile(99%) = 42.3066 ms
[12/28/2023-20:31:04] [I] D2H Latency: min = 0.00292969 ms, max = 0.0655518 ms, mean = 0.0203297 ms, median = 0.0205078 ms, percentile(90%) = 0.0288086 ms, percentile(95%) = 0.03125 ms, percentile(99%) = 0.0375977 ms
[12/28/2023-20:31:04] [I] Total Host Walltime: 15.0803 s
[12/28/2023-20:31:04] [I] Total GPU Compute Time: 15.0095 s
[12/28/2023-20:31:04] [I] Explanations of the performance metrics are printed in the verbose logs.
[12/28/2023-20:31:04] [I] 
&&&& PASSED TensorRT.trtexec [TensorRT v8502] # /usr/src/tensorrt/bin/trtexec --onnx=yolo_nas_pose_l_int8.onnx --int8 --avgRuns=100 --duration=15 --saveEngine=yolo_nas_pose_l_int8.onnx.int8.engine