mirror of https://github.com/WongKinYiu/yolov7.git
3476 lines
976 KiB
Plaintext
3476 lines
976 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "336e61e0-e43a-458d-be6c-14520f87074c",
|
|
"metadata": {
|
|
"pycharm": {
|
|
"name": "#%% md\n"
|
|
}
|
|
},
|
|
"source": [
|
|
"# Export onnx for TensorRT8.0+ end2end detect !!!"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 1,
|
|
"id": "b5d03b05-6c6b-448b-9002-ef8109d2c533",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Namespace(batch_size=1, conf_thres=0.35, device='cpu', dynamic=False, end2end=True, grid=True, img_size=[640, 640], iou_thres=0.65, max_wh=None, simplify=True, topk_all=100, weights='weights/yolov7-d6.pt')\n",
|
|
"YOLOR 🚀 v0.1-51-g2596994 torch 1.12.0+cu116 CPU\n",
|
|
"\n",
|
|
"Fusing layers... \n",
|
|
"Model Summary: 539 layers, 133757052 parameters, 133757052 gradients\n",
|
|
"/home/ubuntu/miniconda3/envs/torch/lib/python3.8/site-packages/torch/functional.py:478: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:2894.)\n",
|
|
" return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]\n",
|
|
"\n",
|
|
"Starting TorchScript export with torch 1.12.0+cu116...\n",
|
|
"/home/ubuntu/work/yolo/yolov7/models/yolo.py:50: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!\n",
|
|
" if self.grid[i].shape[2:4] != x[i].shape[2:4]:\n",
|
|
"TorchScript export success, saved as weights/yolov7-d6.torchscript.pt\n",
|
|
"\n",
|
|
"Starting ONNX export with onnx 1.12.0...\n",
|
|
"\n",
|
|
"Starting export end2end onnx model for TensorRT...\n",
|
|
"/home/ubuntu/miniconda3/envs/torch/lib/python3.8/site-packages/torch/_tensor.py:1083: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at aten/src/ATen/core/TensorBody.h:477.)\n",
|
|
" return self._grad\n",
|
|
"WARNING: The shape inference of TRT::EfficientNMS_TRT type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.\n",
|
|
"WARNING: The shape inference of TRT::EfficientNMS_TRT type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.\n",
|
|
"WARNING: The shape inference of TRT::EfficientNMS_TRT type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.\n",
|
|
"WARNING: The shape inference of TRT::EfficientNMS_TRT type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.\n",
|
|
"WARNING: The shape inference of TRT::EfficientNMS_TRT type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.\n",
|
|
"WARNING: The shape inference of TRT::EfficientNMS_TRT type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.\n",
|
|
"WARNING: The shape inference of TRT::EfficientNMS_TRT type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.\n",
|
|
"WARNING: The shape inference of TRT::EfficientNMS_TRT type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.\n",
|
|
"WARNING: The shape inference of TRT::EfficientNMS_TRT type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.\n",
|
|
"WARNING: The shape inference of TRT::EfficientNMS_TRT type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.\n",
|
|
"WARNING: The shape inference of TRT::EfficientNMS_TRT type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.\n",
|
|
"WARNING: The shape inference of TRT::EfficientNMS_TRT type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.\n",
|
|
"\n",
|
|
"Starting to simplify ONNX...\n",
|
|
"ONNX export success, saved as weights/yolov7-d6.onnx\n",
|
|
"CoreML export failure: No module named 'coremltools'\n",
|
|
"\n",
|
|
"Export complete (17.57s). Visualize with https://github.com/lutzroeder/netron.\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# export onnx first\n",
|
|
"!python export.py --weights weights/yolov7-d6.pt --grid --end2end --simplify --topk-all 100 --iou-thres 0.65 --conf-thres 0.35"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 2,
|
|
"id": "a4e7118a-dbaf-44d8-accb-89e1cb978d11",
|
|
"metadata": {
|
|
"collapsed": true,
|
|
"jupyter": {
|
|
"outputs_hidden": true
|
|
},
|
|
"tags": []
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"&&&& RUNNING TensorRT.trtexec [TensorRT v8401] # /usr/src/tensorrt/bin/trtexec --onnx=weights/yolov7-d6.onnx --saveEngine=weights/yolov7-d6.engine\n",
|
|
"[07/22/2022-16:21:28] [I] === Model Options ===\n",
|
|
"[07/22/2022-16:21:28] [I] Format: ONNX\n",
|
|
"[07/22/2022-16:21:28] [I] Model: weights/yolov7-d6.onnx\n",
|
|
"[07/22/2022-16:21:28] [I] Output:\n",
|
|
"[07/22/2022-16:21:28] [I] === Build Options ===\n",
|
|
"[07/22/2022-16:21:28] [I] Max batch: explicit batch\n",
|
|
"[07/22/2022-16:21:28] [I] Memory Pools: workspace: default, dlaSRAM: default, dlaLocalDRAM: default, dlaGlobalDRAM: default\n",
|
|
"[07/22/2022-16:21:28] [I] minTiming: 1\n",
|
|
"[07/22/2022-16:21:28] [I] avgTiming: 8\n",
|
|
"[07/22/2022-16:21:28] [I] Precision: FP32\n",
|
|
"[07/22/2022-16:21:28] [I] LayerPrecisions: \n",
|
|
"[07/22/2022-16:21:28] [I] Calibration: \n",
|
|
"[07/22/2022-16:21:28] [I] Refit: Disabled\n",
|
|
"[07/22/2022-16:21:28] [I] Sparsity: Disabled\n",
|
|
"[07/22/2022-16:21:28] [I] Safe mode: Disabled\n",
|
|
"[07/22/2022-16:21:28] [I] DirectIO mode: Disabled\n",
|
|
"[07/22/2022-16:21:28] [I] Restricted mode: Disabled\n",
|
|
"[07/22/2022-16:21:28] [I] Build only: Disabled\n",
|
|
"[07/22/2022-16:21:28] [I] Save engine: weights/yolov7-d6.engine\n",
|
|
"[07/22/2022-16:21:28] [I] Load engine: \n",
|
|
"[07/22/2022-16:21:28] [I] Profiling verbosity: 0\n",
|
|
"[07/22/2022-16:21:28] [I] Tactic sources: Using default tactic sources\n",
|
|
"[07/22/2022-16:21:28] [I] timingCacheMode: local\n",
|
|
"[07/22/2022-16:21:28] [I] timingCacheFile: \n",
|
|
"[07/22/2022-16:21:28] [I] Input(s)s format: fp32:CHW\n",
|
|
"[07/22/2022-16:21:28] [I] Output(s)s format: fp32:CHW\n",
|
|
"[07/22/2022-16:21:28] [I] Input build shapes: model\n",
|
|
"[07/22/2022-16:21:28] [I] Input calibration shapes: model\n",
|
|
"[07/22/2022-16:21:28] [I] === System Options ===\n",
|
|
"[07/22/2022-16:21:28] [I] Device: 0\n",
|
|
"[07/22/2022-16:21:28] [I] DLACore: \n",
|
|
"[07/22/2022-16:21:28] [I] Plugins:\n",
|
|
"[07/22/2022-16:21:28] [I] === Inference Options ===\n",
|
|
"[07/22/2022-16:21:28] [I] Batch: Explicit\n",
|
|
"[07/22/2022-16:21:28] [I] Input inference shapes: model\n",
|
|
"[07/22/2022-16:21:28] [I] Iterations: 10\n",
|
|
"[07/22/2022-16:21:28] [I] Duration: 3s (+ 200ms warm up)\n",
|
|
"[07/22/2022-16:21:28] [I] Sleep time: 0ms\n",
|
|
"[07/22/2022-16:21:28] [I] Idle time: 0ms\n",
|
|
"[07/22/2022-16:21:28] [I] Streams: 1\n",
|
|
"[07/22/2022-16:21:28] [I] ExposeDMA: Disabled\n",
|
|
"[07/22/2022-16:21:28] [I] Data transfers: Enabled\n",
|
|
"[07/22/2022-16:21:28] [I] Spin-wait: Disabled\n",
|
|
"[07/22/2022-16:21:28] [I] Multithreading: Disabled\n",
|
|
"[07/22/2022-16:21:28] [I] CUDA Graph: Disabled\n",
|
|
"[07/22/2022-16:21:28] [I] Separate profiling: Disabled\n",
|
|
"[07/22/2022-16:21:28] [I] Time Deserialize: Disabled\n",
|
|
"[07/22/2022-16:21:28] [I] Time Refit: Disabled\n",
|
|
"[07/22/2022-16:21:28] [I] Inputs:\n",
|
|
"[07/22/2022-16:21:28] [I] === Reporting Options ===\n",
|
|
"[07/22/2022-16:21:28] [I] Verbose: Disabled\n",
|
|
"[07/22/2022-16:21:28] [I] Averages: 10 inferences\n",
|
|
"[07/22/2022-16:21:28] [I] Percentile: 99\n",
|
|
"[07/22/2022-16:21:28] [I] Dump refittable layers:Disabled\n",
|
|
"[07/22/2022-16:21:28] [I] Dump output: Disabled\n",
|
|
"[07/22/2022-16:21:28] [I] Profile: Disabled\n",
|
|
"[07/22/2022-16:21:28] [I] Export timing to JSON file: \n",
|
|
"[07/22/2022-16:21:28] [I] Export output to JSON file: \n",
|
|
"[07/22/2022-16:21:28] [I] Export profile to JSON file: \n",
|
|
"[07/22/2022-16:21:28] [I] \n",
|
|
"[07/22/2022-16:21:28] [I] === Device Information ===\n",
|
|
"[07/22/2022-16:21:28] [I] Selected Device: NVIDIA GeForce RTX 3070 Laptop GPU\n",
|
|
"[07/22/2022-16:21:28] [I] Compute Capability: 8.6\n",
|
|
"[07/22/2022-16:21:28] [I] SMs: 40\n",
|
|
"[07/22/2022-16:21:28] [I] Compute Clock Rate: 1.56 GHz\n",
|
|
"[07/22/2022-16:21:28] [I] Device Global Memory: 7982 MiB\n",
|
|
"[07/22/2022-16:21:28] [I] Shared Memory per SM: 100 KiB\n",
|
|
"[07/22/2022-16:21:28] [I] Memory Bus Width: 256 bits (ECC disabled)\n",
|
|
"[07/22/2022-16:21:28] [I] Memory Clock Rate: 7.001 GHz\n",
|
|
"[07/22/2022-16:21:28] [I] \n",
|
|
"[07/22/2022-16:21:28] [I] TensorRT version: 8.4.1\n",
|
|
"[07/22/2022-16:21:28] [I] [TRT] [MemUsageChange] Init CUDA: CPU +328, GPU +0, now: CPU 336, GPU 300 (MiB)\n",
|
|
"[07/22/2022-16:21:29] [I] [TRT] [MemUsageChange] Init builder kernel library: CPU +327, GPU +104, now: CPU 682, GPU 404 (MiB)\n",
|
|
"[07/22/2022-16:21:29] [I] Start parsing network model\n",
|
|
"[07/22/2022-16:21:29] [I] [TRT] ----------------------------------------------------------------\n",
|
|
"[07/22/2022-16:21:29] [I] [TRT] Input filename: weights/yolov7-d6.onnx\n",
|
|
"[07/22/2022-16:21:29] [I] [TRT] ONNX IR version: 0.0.7\n",
|
|
"[07/22/2022-16:21:29] [I] [TRT] Opset version: 12\n",
|
|
"[07/22/2022-16:21:29] [I] [TRT] Producer name: pytorch\n",
|
|
"[07/22/2022-16:21:29] [I] [TRT] Producer version: 1.12.0\n",
|
|
"[07/22/2022-16:21:29] [I] [TRT] Domain: \n",
|
|
"[07/22/2022-16:21:29] [I] [TRT] Model version: 0\n",
|
|
"[07/22/2022-16:21:29] [I] [TRT] Doc string: \n",
|
|
"[07/22/2022-16:21:29] [I] [TRT] ----------------------------------------------------------------\n",
|
|
"[07/22/2022-16:21:30] [W] [TRT] onnx2trt_utils.cpp:369: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.\n",
|
|
"[07/22/2022-16:21:30] [W] [TRT] onnx2trt_utils.cpp:395: One or more weights outside the range of INT32 was clamped\n",
|
|
"[07/22/2022-16:21:30] [I] [TRT] No importer registered for op: EfficientNMS_TRT. Attempting to import as plugin.\n",
|
|
"[07/22/2022-16:21:30] [I] [TRT] Searching for plugin: EfficientNMS_TRT, plugin_version: 1, plugin_namespace: \n",
|
|
"[07/22/2022-16:21:30] [I] [TRT] Successfully created plugin: EfficientNMS_TRT\n",
|
|
"[07/22/2022-16:21:30] [I] Finish parsing network model\n",
|
|
"[07/22/2022-16:21:31] [I] [TRT] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +850, GPU +368, now: CPU 2095, GPU 772 (MiB)\n",
|
|
"[07/22/2022-16:21:31] [I] [TRT] [MemUsageChange] Init cuDNN: CPU +128, GPU +58, now: CPU 2223, GPU 830 (MiB)\n",
|
|
"[07/22/2022-16:21:31] [I] [TRT] Local timing cache in use. Profiling results in this builder pass will not be stored.\n",
|
|
"[07/22/2022-16:22:28] [E] Error[2]: [virtualMemoryBuffer.cpp::resizePhysical::144] Error Code 2: OutOfMemory (no further information)\n",
|
|
"[07/22/2022-16:22:28] [E] Error[2]: [virtualMemoryBuffer.cpp::resizePhysical::144] Error Code 2: OutOfMemory (no further information)\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] -------------- The current system memory allocations dump as below --------------\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879db00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18932 time: 1.05e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc866f870]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18923 time: 2.32e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc856a970]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18920 time: 1.69e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e0c790]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18905 time: 1.8e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e09b40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18902 time: 1.23e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80425e90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18893 time: 1.61e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776aea0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18884 time: 2.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879ee10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18225 time: 1.87e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8669b00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18219 time: 1.55e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc5034b40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18195 time: 1.96e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8653bf0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18189 time: 1.5e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7d1059d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18183 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x1b0dd480]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18180 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc87592c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18177 time: 2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xb076fc00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18171 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc87591a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17522 time: 1.09e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc780fb90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17519 time: 7.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8660df0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18911 time: 8.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7802fa0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17516 time: 1.49e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x1b0dd1e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17510 time: 2.26e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc780ae60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18875 time: 3.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc78023c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17501 time: 8.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc85693b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17498 time: 1.63e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc859acc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17492 time: 2.29e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8569640]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17489 time: 1.89e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8704c00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17486 time: 1.38e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6df7e00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17483 time: 3.11e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7819660]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17477 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc875a3e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17474 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xb076fad0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17471 time: 3.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879e790]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16923 time: 3.46e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8664f00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16920 time: 3.98e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6df7c90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16917 time: 4.14e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776b1c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16908 time: 4.7e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86581f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16899 time: 5.35e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8659c10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16890 time: 4.43e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc85903e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16884 time: 6.22e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8677320]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16881 time: 1.117e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc780adc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18887 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8590270]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16887 time: 6.7e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc876cad0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16863 time: 3.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4eb2350]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16237 time: 3.84e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8598400]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16225 time: 3.21e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83d2c00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16222 time: 3.74e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7773de0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16207 time: 3.81e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6da9780]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16204 time: 4.32e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc85964f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16198 time: 9.58e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8656f80]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16186 time: 5.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83d4160]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16183 time: 5.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc78175c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15387 time: 2.29e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8661f40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15381 time: 1.69e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8661e80]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16195 time: 6.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86918f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15378 time: 1.08e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879ca30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15375 time: 1.71e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4f5b0e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15366 time: 1.47e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc5035340]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15357 time: 1.3e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776be20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15354 time: 1.76e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4f5b2f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15351 time: 2.34e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8695e20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15342 time: 5.71e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e87220]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15336 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776d110]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15333 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e17e20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15330 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83d42e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15327 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8571350]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14716 time: 2.12e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x9e5b7210]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14713 time: 2.17e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7812fd0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14710 time: 1.63e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879dc70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14704 time: 2.46e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8664990]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14701 time: 2.28e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x804011d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14686 time: 1.42e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7770640]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14707 time: 9.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8795260]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14689 time: 1.72e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc89125e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14680 time: 3.37e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8922220]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14674 time: 1.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc5035010]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14668 time: 5.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8675d60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14665 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879cc00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14656 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc835f420]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14071 time: 2.04e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc867e8b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14062 time: 9.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80428f60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18186 time: 4.7e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc867e790]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14059 time: 2.02e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e2ffb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14056 time: 1.78e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776a200]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14041 time: 1.23e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776a090]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14038 time: 7.57e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879fdf0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14035 time: 2.09e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8598980]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14032 time: 2.05e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7805f50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14029 time: 1.39e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83c9a60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14026 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80400da0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14014 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8571680]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13370 time: 8.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x723fcfb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13367 time: 1.54e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc859ae40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16869 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8696260]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13358 time: 1.81e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e106f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18174 time: 1.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7774b60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13352 time: 2.36e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc866ff00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13349 time: 1.4e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7803f70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13346 time: 1.95e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc859a8c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13340 time: 7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc859a7a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13337 time: 2.35e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879d5b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13334 time: 1.94e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x804385b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13325 time: 2.43e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8586230]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13319 time: 1.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4f5b1d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16192 time: 1.47e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc858a470]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13313 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86914e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13310 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4eb44d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12667 time: 1.14e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7804290]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12658 time: 8.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8579e30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12649 time: 1.52e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776ed00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12646 time: 7.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x8043b530]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12640 time: 8.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8660ca0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18908 time: 1.72e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8617250]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12637 time: 1.14e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8691440]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12631 time: 2.05e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e37fa0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12622 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8579f60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12619 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc858fa70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12616 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86664d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12613 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7774600]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12062 time: 4.67e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8666380]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12059 time: 7.24e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8586000]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13328 time: 1.8e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc85cb500]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12044 time: 7.15e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e70900]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12041 time: 3.214e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc867b7b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12038 time: 6.21e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8691240]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12032 time: 5.16e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6dc9e70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12005 time: 1.19e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77f0dc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14050 time: 8.37e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e42f00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11379 time: 3.81e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc857e970]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11376 time: 3.924e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879d260]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11364 time: 6.6e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77741c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11361 time: 6.13e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4f5a310]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11358 time: 3.74e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc865dde0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14695 time: 2.47e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8917530]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11355 time: 5.93e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8651d50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11349 time: 6.82e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8647820]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12029 time: 8.42e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7767a70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11346 time: 6.45e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc833b5f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11340 time: 1.144e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xf998890]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11337 time: 4.71e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86c7210]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11334 time: 1.245e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4f5a510]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11322 time: 1.16e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x1db9af50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10523 time: 2.09e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7802120]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10520 time: 2.93e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc876c5c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10517 time: 8.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc876c450]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10514 time: 2.12e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x8043b9e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10511 time: 1.8e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc856e770]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10499 time: 1.9e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776bfd0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10496 time: 1.8e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc2db97e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10490 time: 2.2e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e099a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18899 time: 4.02e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83d5420]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10481 time: 2.56e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8799c30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10475 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc2dc6d60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10472 time: 2.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77f5140]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10469 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x71f34310]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9855 time: 1.4e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e7d150]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9852 time: 1.61e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776abc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9849 time: 1.66e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e04ba0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9843 time: 2.11e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77727a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9840 time: 1.92e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e04e30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9834 time: 1.66e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc87a0f50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9828 time: 1.82e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80425a20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16231 time: 1.89e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e10060]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11367 time: 5.99e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc2db9a40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9822 time: 1.93e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8908f00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9819 time: 2.64e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc87a0b50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9816 time: 2.82e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc867ac90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9813 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8593440]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9810 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4f5e670]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9807 time: 2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77da180]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13343 time: 2.02e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4f5b8b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9804 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776d310]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15369 time: 1.89e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc835f9b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9798 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc835f740]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9795 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7770cb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18228 time: 1.71e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e10d90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9210 time: 8.1e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc835fa50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9207 time: 5.76e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4eb6f40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9204 time: 6.29e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8919830]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9198 time: 5.8e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc87a0de0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9801 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x804021f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9195 time: 5.39e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8654950]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9192 time: 5.71e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e109b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14068 time: 2e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x804038f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9189 time: 9.59e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e870d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14692 time: 1.82e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc85c2ee0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9186 time: 6.38e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e0bd70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9183 time: 6.36e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77f4770]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9174 time: 7.73e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8919430]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9171 time: 6.28e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e0c420]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9168 time: 5.45e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8917680]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10487 time: 2.44e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x9a1859f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9162 time: 2.16e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8928400]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10505 time: 2.51e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4f5e5d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9159 time: 1.03e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77f16d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18896 time: 1.93e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8657fc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9153 time: 1.11e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7819820]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9180 time: 4.02e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d9a340]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8506 time: 1.77e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc875aae0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18231 time: 1.43e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776e3d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8488 time: 9.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e088a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8482 time: 1.89e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e1d020]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16216 time: 4.07e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x803e4a40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8479 time: 1.14e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8677480]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16893 time: 1.005e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc859a590]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8476 time: 1.63e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8614cb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8473 time: 2.29e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc865e1a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14683 time: 2.5e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8678180]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8470 time: 2.49e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x5ccbdae0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8464 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77da0c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15348 time: 1.65e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xbf33beb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12625 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7d108ad0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8461 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77719e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8458 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc87699f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8452 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8358510]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16911 time: 4.5e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc864a170]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7794 time: 8.76e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83d51d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7791 time: 5.993e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc864a2c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7797 time: 3.94e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8611db0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7785 time: 2.97e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8771060]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7773 time: 5.76e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc867b170]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7758 time: 7.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc876a850]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16210 time: 2.6e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc856b570]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7201 time: 4.25e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e10550]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18213 time: 1.49e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7814e50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7198 time: 6.51e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc869ed50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7189 time: 1.113e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc85fb2e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7186 time: 5.79e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc878fbb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14044 time: 1.72e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc85aa8b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7180 time: 3.44e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879f3e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7177 time: 9.35e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc832b240]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7171 time: 2.028e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc89195e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7168 time: 1.93e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83d3380]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7165 time: 6.87e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e8fc80]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 256 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc87704e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4331 time: 5.01e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e50fa0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 255 time: 4.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e7b040]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 253 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x27e8d400]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7770 time: 7.95e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e8c630]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 252 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e88d50]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 249 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e88c50]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 248 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e7f960]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 239 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x2795fc50]:4608 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 343 time: 7.39e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e7f730]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 238 time: 6.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e7b560]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 234 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e39270]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17507 time: 7.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86494d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16905 time: 4.4e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56de1110]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 81 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7d1058a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18207 time: 1.75e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc866d1f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15384 time: 1.47e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e09380]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 120 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e773a0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 230 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56de34c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 83 time: 4.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e75720]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 228 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e73ad0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 226 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4eb4700]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12002 time: 1.5e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e71e20]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 224 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d83150]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 105 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e6e650]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 221 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e6e550]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 220 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e37630]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 162 time: 4.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879f7f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7779 time: 1.101e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc2db76a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4988 time: 1.64e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e6c8c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 219 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77736c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11373 time: 6.36e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e305b0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 210 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc866e280]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3612 time: 2.29e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8750bb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12011 time: 6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d9aee0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7764 time: 4.55e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e62340]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 209 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ee31d0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 329 time: 7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc891b680]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14698 time: 2.65e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83cb260]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4976 time: 2.19e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e603d0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 206 time: 4.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e75820]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 229 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e5e6b0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 204 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e5add0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 201 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc863b630]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12035 time: 7.61e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc483ad30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4292 time: 1.06e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e59130]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 199 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8912f90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4964 time: 1.74e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4eb1d90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7150 time: 1.02e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dc12e0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 50 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d6f960]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 4 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc85b4070]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7755 time: 1.22e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e4fb70]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 191 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e2f940]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 190 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83d5cf0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5662 time: 2.2e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77f5010]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14023 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8922040]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14017 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e45a30]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 179 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dad7b0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 23 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e43da0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 177 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e66f10]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 212 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e43ce0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 176 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e41e40]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 174 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e5e770]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 205 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e40590]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 173 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77f4990]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2918 time: 7.37e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e3e8c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 171 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db64a0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 34 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc2dc6cc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10466 time: 2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e35ba0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 161 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e5ca70]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 203 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e35aa0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 160 time: 5.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e7d2e0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 237 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e30e20]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 157 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc87a04e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11343 time: 8.36e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x809a4200]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1675 time: 1.85e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc859aba0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16914 time: 3.22e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x27add890]:4096 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 349 time: 5.3e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ddbbf0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 155 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ddbaf0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 154 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc867eec0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4295 time: 8.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e260c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 149 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e25140]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 148 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x809ffdf0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1684 time: 9.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7805c50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4319 time: 5.21e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc867a7a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18890 time: 1.18e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86aa210]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13364 time: 1.48e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e68e20]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 214 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e7e040]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 251 time: 4.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e37b50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14065 time: 1.77e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e209a0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 145 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dfeca0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 111 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc866fb10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18926 time: 1.82e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e556f0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 194 time: 3.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ea1830]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 273 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e57390]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 196 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e1ee80]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 142 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x27964870]:3072 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 353 time: 3.49e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e1d330]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 141 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc866a630]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18914 time: 1.65e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e47770]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 181 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e0e680]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 126 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc865e060]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15339 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e2e1b0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 313 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x2795c7b0]:2304 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 339 time: 2.36e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7804140]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12655 time: 2.88e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8647fb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2930 time: 7.77e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e292f0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 153 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8658420]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18878 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e4aff0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 187 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e1d230]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 140 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e1acd0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 138 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e19090]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 137 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e0e780]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 127 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e27d40]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 151 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e0ffc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12008 time: 1.17e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e17340]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 134 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e6aac0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 216 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56de8b60]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 88 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db65a0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 35 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8608ed0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2888 time: 1.987e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e13b20]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 131 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7811f90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5659 time: 1.77e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e13a20]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 130 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc1c3ba80]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2915 time: 1.697e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e7b660]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 235 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e09480]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 121 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6dc9ca0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12628 time: 2.32e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e11fd0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 128 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x804295e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1729 time: 1.76e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ea1730]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 272 time: 4.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x809ff8f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1690 time: 1.17e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dfb370]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 107 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56daae90]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 18 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e120d0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 129 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dc4c00]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 54 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db2360]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7752 time: 7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e75270]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 247 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc875b040]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4334 time: 3.84e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e45970]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 178 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56da4ba0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 8 time: 3.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dbc540]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 45 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e30d60]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 156 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc892b360]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7183 time: 7.78e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e392c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 165 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dcb420]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 60 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dcdad0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 63 time: 2.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc780fcc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16896 time: 5.21e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc878ff00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3624 time: 1.75e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e7d1e0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 236 time: 4.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d77120]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 5 time: 6.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8670f40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4322 time: 1.587e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc867f790]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13316 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dbc440]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 44 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d8df10]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 36 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dc3070]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 53 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83c9450]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10526 time: 1.69e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8926860]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7776 time: 4.64e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e47420]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4994 time: 1.31e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e8e310]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 254 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e85260]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 246 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e557f0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 195 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7771180]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15372 time: 1.76e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e070a0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 119 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8794da0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4982 time: 2.61e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e5c970]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 202 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56da5e10]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 11 time: 2.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dac380]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 21 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56de7640]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 87 time: 9.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776dc30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8467 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56de10d0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 80 time: 4.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80a0ae30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1687 time: 1.16e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x804276b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1699 time: 1.12e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e67010]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 213 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x9e5b7440]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14659 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e080c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8491 time: 2.09e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e0aef0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 123 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86469f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5653 time: 1.73e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83d1470]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18216 time: 1.66e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e15810]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 133 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc869a4e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18192 time: 1.95e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e37d90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12643 time: 1.94e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8799e50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9825 time: 1.68e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e15310]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7746 time: 1.3e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db01c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 27 time: 2.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dd1ec0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 67 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc876a570]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8509 time: 8.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d77e40]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 6 time: 2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56df6860]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 103 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dd3aa0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 69 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8769a90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8455 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e3e7c0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 170 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56da6ec0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 12 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56efd460]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 332 time: 4.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8695310]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12661 time: 9.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8654360]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6512 time: 1.456e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x27aee120]:1572864 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 340 time: 7.02e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e0cae0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 125 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e81a50]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 241 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8722c50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6488 time: 3.69e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e2e0f0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 312 time: 5.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56da80e0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 14 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc2dc6af0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14662 time: 2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d90ff0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 38 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e26ff0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 152 time: 7.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8921b30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4952 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dba700]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 43 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56da6f80]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 13 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8927f70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5617 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e355f0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 211 time: 4.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e224c0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 146 time: 4.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eb63a0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 295 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7d103390]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2310 time: 1.57e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56daed90]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 25 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e9b860]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 266 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d979a0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 37 time: 4.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e0dd70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4937 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eb1030]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 291 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80427c80]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1717 time: 7.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x5cc04c50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9177 time: 6.65e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e49a60]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 182 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc835f5d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15345 time: 2.58e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ec1810]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 307 time: 4.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e4ab40]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 189 time: 4.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d8c180]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 39 time: 2.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dc4d00]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 55 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dc8d40]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 58 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc833b700]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11325 time: 1.02e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d72ab0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 1 time: 2.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e7aec0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 245 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80425900]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16228 time: 1.066e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e53d20]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 193 time: 3.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dd1dc0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 66 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83d3780]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4313 time: 9.21e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dc13e0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 51 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8598c40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9165 time: 6.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8612100]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5656 time: 1.37e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db8ab0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 40 time: 3.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dfcef0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 108 time: 3.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56da9a60]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 16 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83c9b20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12664 time: 2.08e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56de6ef0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 86 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80439d40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2334 time: 7.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dac2c0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 20 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e12270]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16213 time: 3.53e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dc7100]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 56 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776f280]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12610 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dd5730]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 71 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ddde20]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 77 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc1302660]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2286 time: 1.8e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e73400]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 250 time: 4.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e01220]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 113 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e66920]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 282 time: 8.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ebfb80]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 305 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56daecd0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 24 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e99600]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 265 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ddfb40]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 79 time: 5.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e46cc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10502 time: 1.51e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e3cb00]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 168 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7802e20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17513 time: 1.97e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86651c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12607 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dc8e40]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 59 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d73fb0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 3 time: 1.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80428160]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2340 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e40490]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 172 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dcb520]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 61 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56daaf50]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 19 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dcd9d0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 62 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc855f840]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2900 time: 8.75e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e702b0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 223 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e09d30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6503 time: 5.47e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e336a0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 158 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8670a40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16219 time: 1.92e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dad6f0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 22 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dd0170]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 65 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc78076d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2280 time: 2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dd0070]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 64 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80438a20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16878 time: 1.52e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dd39a0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 68 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e792c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 233 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56df2e10]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 98 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6dc9d60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12056 time: 8.08e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc867e9a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7767 time: 1.615e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dd5630]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 70 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dd73c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 73 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ded890]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 92 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eb8690]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 296 time: 3.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc876d070]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7806 time: 2.24e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e364d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7192 time: 3.43e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e1add0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 139 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56def8b0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 95 time: 5.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dba600]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 42 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e22580]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 147 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dbdf40]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 47 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e3cc00]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 169 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ddb110]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 74 time: 5.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e2fdb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14053 time: 4.04e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e73b90]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 227 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e39150]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17504 time: 2.22e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x27991310]:393216 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 336 time: 2.12e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ddb210]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 75 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879e040]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16902 time: 3.38e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e0adf0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 122 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e6c800]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 218 time: 4.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e04880]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 117 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xbf13f7e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4301 time: 4.56e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8918e30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18204 time: 1.4e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc87565b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11370 time: 3.41e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db1e20]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 29 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e604d0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 207 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc875e690]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3636 time: 1.86e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77fa260]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12634 time: 2.06e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56de2d00]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 82 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56da9b20]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 17 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eb1db0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 310 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e71ee0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 225 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc864a4b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2891 time: 1.219e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e57490]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 197 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e1ef80]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 143 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80a001a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1693 time: 9.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc839bde0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13355 time: 1.69e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e6ab80]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 217 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56de8c20]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 89 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ebc160]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 300 time: 5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776ddc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8500 time: 7.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e701b0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 222 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80427540]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1696 time: 1.58e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e853d0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 257 time: 3.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db35f0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 30 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ded990]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 93 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7770ea0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17480 time: 1.18e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879e560]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15360 time: 3.42e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eb8790]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 297 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x9a185b10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6458 time: 1.77e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dfb270]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 106 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db8bb0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 41 time: 2.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4eb22b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16875 time: 1.48e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776d5e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14047 time: 2.19e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc780da70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6509 time: 6.26e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dfcff0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 109 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8669d70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18201 time: 1.07e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e17440]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 135 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56df11e0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 96 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86c73f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11331 time: 2.14e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eb5a70]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 311 time: 2.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56df14c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 97 time: 5.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e3af10]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 167 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc867f8f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13322 time: 3.14e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56df4ab0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 100 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ebd6e0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 314 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e01120]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 112 time: 3.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8651ae0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7174 time: 1.07e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56da8770]:512 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 335 time: 3.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc865a580]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3639 time: 7.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e62240]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 208 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8676f10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13331 time: 1.75e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc867b460]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7195 time: 8.54e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56df4b70]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 101 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e15710]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 132 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ebddf0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 302 time: 6.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ed7dd0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 327 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eb2130]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 290 time: 6.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e81950]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 240 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e0c9e0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 124 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7d104ca0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2316 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4f84cc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5611 time: 1.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56da4c60]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 9 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eacef0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 286 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e0d700]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5629 time: 2.12e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e18fd0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 136 time: 4.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e02a30]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 114 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879d930]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18929 time: 1.41e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e1d340]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3609 time: 1.77e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e02af0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 115 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d6fe40]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 2 time: 1.01e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8659ac0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16240 time: 1.83e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x803ee800]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4343 time: 5.47e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e06fa0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 118 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e4d7c0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 186 time: 4.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e53c20]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 192 time: 5.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8661050]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6470 time: 2.23e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8608640]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11352 time: 6.6e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e78c20]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 242 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e33720]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 159 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e53370]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 244 time: 4.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4eb2520]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16872 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e37730]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 163 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e10760]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 258 time: 5.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83d1de0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18210 time: 8.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56def1b0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 94 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dbf740]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 48 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8590110]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2933 time: 1.01e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e8d6b0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 259 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7770ae0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17528 time: 7.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ecde60]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 317 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80426580]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1705 time: 1.34e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e774a0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 231 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e959d0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 260 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e59030]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 198 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db0100]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 26 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e95a90]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 261 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e97870]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 262 time: 4.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8649e10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16866 time: 5.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e97970]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 263 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e99500]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 264 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc864de00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17495 time: 2.94e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56de5a40]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 85 time: 7.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e9b960]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 267 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e9dcb0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 268 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e9ddb0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 269 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ea82e0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 289 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e3c270]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 243 time: 2.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e9fca0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 271 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x378c2db0]:393216 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 356 time: 1.133e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x27acffc0]:2048 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 359 time: 4.14e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db6dd0]:1024 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 337 time: 2.1e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e8f770]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 274 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80439a20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10484 time: 2.63e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56df2ed0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 99 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x27adf5c0]:3072 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 361 time: 7.35e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ea13c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 275 time: 2.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc0c5d750]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3630 time: 2.05e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eae3f0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 287 time: 4.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e71990]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 277 time: 5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8677710]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6515 time: 6.25e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ea6d40]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 278 time: 3.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ea2a40]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 279 time: 5.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879c990]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16189 time: 5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8657b20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9201 time: 1.072e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc876cf20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7803 time: 8.99e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e87150]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 281 time: 4.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7c5977b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7800 time: 4.37e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e66960]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 283 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc869ffe0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16180 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8721f40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14011 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dc7200]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 57 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e9fba0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 270 time: 3.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7812720]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2313 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7d104870]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2295 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ea87e0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 284 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eab270]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 285 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc876fac0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8503 time: 1.62e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ea8220]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 288 time: 4.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e3ae50]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 166 time: 3.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ea2dd0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 276 time: 5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eb4310]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 292 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eb62a0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 294 time: 4.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e49b60]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 183 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eba580]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 298 time: 8.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x71f34210]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10478 time: 2.5e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eba680]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 299 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ddf370]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 78 time: 6.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ebc260]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 301 time: 3.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7769610]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7761 time: 6.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e07fd0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 185 time: 5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ebdef0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 303 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ebfa80]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 304 time: 5.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8696500]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12023 time: 7.26e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7d103690]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4943 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ec15e0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 306 time: 5.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ec3270]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 308 time: 5.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ec34a0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 309 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8926d10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15363 time: 1.64e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc85aa6b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7749 time: 8.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e391c0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 164 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e27c80]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 150 time: 4.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eb6bd0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 318 time: 4.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ec42d0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 319 time: 4.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db36b0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 31 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ec4560]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 320 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e41f40]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 175 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ed53e0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 324 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e354f0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 321 time: 7.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc869a610]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18881 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x804268b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1708 time: 1.15e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dd72c0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 72 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eb41b0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 322 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8752d10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2921 time: 8.74e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x37c90430]:3538944 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 344 time: 2.64e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e2ce30]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 323 time: 3.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86960b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12026 time: 8.59e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7d107790]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2328 time: 1.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d70b00]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 0 time: 2.22e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77effe0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3600 time: 3.39e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc867a950]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9846 time: 9.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ed54a0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 325 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86944b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5632 time: 2.37e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ecdda0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 316 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ed22f0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 328 time: 6.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e2e8e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4940 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4eb49d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6479 time: 1.119e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ebdb10]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 315 time: 5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ef1ad0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 330 time: 6.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e208a0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 144 time: 4.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e14fd0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2945 time: 9.7e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ef1bd0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 331 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56efd560]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 333 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x27979300]:98304 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 334 time: 1.454e-05\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7c7154f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4958 time: 1.95e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db4930]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 32 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8607260]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2903 time: 4.333e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x377eada0]:884736 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 338 time: 3.75e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x2796d200]:2048 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 341 time: 2.98e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc866b4a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18198 time: 1.73e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8659f60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7782 time: 6.08e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x37930420]:3538944 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 342 time: 2.64e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8616010]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6482 time: 8.74e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x37ff0440]:7962624 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 346 time: 2.89e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7d1093a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2319 time: 1.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x27ac5550]:6912 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 347 time: 4.56e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d83e00]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 104 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x38788450]:6291456 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 348 time: 1.68e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8754b00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4955 time: 2.84e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x38d88460]:9437184 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 350 time: 1.93e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e5acd0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 200 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80428360]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1726 time: 1.25e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83c9c70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14020 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8657ea0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9156 time: 9.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x279678f0]:6144 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 351 time: 1.173e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80426a40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1711 time: 8.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8921930]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4346 time: 6.99e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8609050]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2298 time: 1.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xb507f810]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6497 time: 3.48e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x27c6e130]:1572864 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 354 time: 1.56e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc5035120]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14677 time: 2.76e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x2795e380]:2048 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 355 time: 2.96e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db69c0]:1024 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 357 time: 1.53e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x399e8480]:1572864 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 358 time: 2.33e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x39b68490]:3538944 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 360 time: 2.35e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56deb3d0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 90 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc861b280]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2924 time: 1.066e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8916020]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12017 time: 8.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x39ec84a0]:6291456 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 362 time: 1.98e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x27acd440]:4096 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 363 time: 3.13e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x8030b4d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1669 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80a0f0c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1672 time: 4.36e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc866be90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6473 time: 1.35e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80a0b460]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1678 time: 1.43e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7807480]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12652 time: 2.12e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776b540]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9831 time: 1.6e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80a0d340]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1681 time: 9.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80427a70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1714 time: 1.22e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc866c110]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2912 time: 7.66e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80427e20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1720 time: 1.1e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc78127c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2283 time: 2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80439880]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2292 time: 1.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80437e90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2301 time: 2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc869fea0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18872 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc838b7c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8494 time: 2.66e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e89fd0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 293 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc875a310]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2304 time: 2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc78022c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11328 time: 2.1e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x27ad2f00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8485 time: 1.99e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dbf840]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 49 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc857ecd0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2307 time: 1.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8618c70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2322 time: 2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7d104bd0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2325 time: 2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77709f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17525 time: 2.74e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77f2950]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2337 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879fa90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2885 time: 7.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc892d580]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2894 time: 7.49e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86c6d40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12047 time: 5.41e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8670300]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2331 time: 1.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8913fc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4967 time: 1.87e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc780c020]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2897 time: 3.92e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e4fdd0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 188 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc78108f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2906 time: 5.75e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc780e9c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2909 time: 1.051e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc88ce750]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5620 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d77d50]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 7 time: 1.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86070e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2936 time: 4.29e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e17190]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2939 time: 3.46e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8575420]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3588 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8911e70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12053 time: 4.6e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc875c5e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3591 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879b9e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10508 time: 2.38e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x1ac3cd00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3594 time: 4.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80427fc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1723 time: 7.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x5cde0e40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3597 time: 1.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8598ba0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9150 time: 1.15e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc857ebc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4961 time: 2.82e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56da81a0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 15 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xbf33b4d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3603 time: 2.36e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dbde40]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 46 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc866fc50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3606 time: 1.08e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e791c0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 232 time: 4.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db1d60]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 28 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7769de0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3618 time: 6.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80400b60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3621 time: 1.62e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e07940]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3627 time: 9.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc87f5640]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10493 time: 2.35e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879ec00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6500 time: 5.79e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e0d5f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3633 time: 1.7e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83d1bc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3645 time: 4.27e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db49f0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 33 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86482d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3648 time: 1.9e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e15590]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4289 time: 6.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77d9e40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4298 time: 8.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc878f870]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4304 time: 2.3e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56de4d80]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 84 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e15f10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4985 time: 1.35e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dddb20]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 76 time: 5.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x803ec160]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4316 time: 1.298e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7772fd0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18222 time: 1.09e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4f5c680]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4325 time: 8.9e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77677b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7788 time: 1.197e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8712f10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5623 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x39688470]:3538944 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 352 time: 2.22e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4f5f780]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4307 time: 1.227e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc876b280]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4328 time: 1.207e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56da5d50]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 10 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8919d50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4337 time: 8.51e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x5ccbdbf0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8449 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc85cafc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4340 time: 1.031e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7772990]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4349 time: 2.3e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc857eda0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4934 time: 2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86778d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4946 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc866fd60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4949 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e09f30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4970 time: 1.81e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e707d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4973 time: 1.46e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xb076fcf0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17468 time: 4.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e476b0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 180 time: 4.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8666020]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4979 time: 1.72e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc856a820]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18917 time: 3.38e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8617ca0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12020 time: 6.41e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e1d4d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2942 time: 1.327e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8927e30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4991 time: 2.11e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8691640]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5605 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80439e10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12050 time: 1.108e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8582ce0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11319 time: 1.15e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7801d80]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5608 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc87904f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13361 time: 9.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8661110]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5665 time: 2.46e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e83840]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5614 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc88f42f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5626 time: 2.44e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ea7c40]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 280 time: 4.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7816270]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3642 time: 2.32e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4c01360]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5635 time: 1.3e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x27adbba0]:3072 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 345 time: 6.15e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86942d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5638 time: 2.16e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e68ee0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 215 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56deb4d0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 91 time: 4.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86468a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5641 time: 1.83e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7769470]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2289 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879f5d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5644 time: 1.97e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80425680]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8497 time: 2.12e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc78145c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2927 time: 7.56e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8646ef0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5647 time: 2.33e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8926b90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16201 time: 3.85e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xbd848550]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5650 time: 1.64e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80427820]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1702 time: 6.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77f3ce0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6461 time: 1.07e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7d105650]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6464 time: 1.34e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8375a00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12014 time: 2.23e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77f3d80]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6467 time: 6.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7c6903e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6476 time: 8.21e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8924550]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16234 time: 3.79e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86598c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6485 time: 6.97e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc89220e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14671 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8926630]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6491 time: 1.454e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e43cb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6494 time: 6.48e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8658840]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6506 time: 1.106e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e27200]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 184 time: 5.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e04780]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 116 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8671090]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3615 time: 1.67e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e0a3f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6518 time: 2.7e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879c690]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7141 time: 8.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879f1a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9837 time: 1.89e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e300f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7144 time: 1.19e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ed7cd0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 326 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7776400]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7147 time: 1.04e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56df67a0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 102 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7bb08d10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7153 time: 7.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dc2f70]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 52 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4c06570]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4310 time: 8.76e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x803f8580]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7156 time: 7.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7805860]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7159 time: 7.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dfeba0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 110 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4eb1ea0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7162 time: 8.7e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] -------------- The current device memory allocations dump as below --------------\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0]:8589934592 :HybridGlobWriter in reserveMemory: at optimizer/common/globWriter.cpp: 438 idx: 2907 time: 0.00576601\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x302000000]:5002756096 :HybridGlobWriter in reserveMemory: at optimizer/common/globWriter.cpp: 416 idx: 1978 time: 0.00014758\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] Requested amount of GPU memory (8589934592 bytes) could not be allocated. There may not be enough free memory for allocation to succeed.\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] Skipping tactic 3 due to insufficient memory on requested size of 8589934592 detected for tactic 0x0000000000000004.\n",
|
|
"Try decreasing the workspace size with IBuilderConfig::setMemoryPoolLimit().\n",
|
|
"[07/22/2022-16:22:28] [E] Error[2]: [virtualMemoryBuffer.cpp::resizePhysical::144] Error Code 2: OutOfMemory (no further information)\n",
|
|
"[07/22/2022-16:22:28] [E] Error[2]: [virtualMemoryBuffer.cpp::resizePhysical::144] Error Code 2: OutOfMemory (no further information)\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] -------------- The current system memory allocations dump as below --------------\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879db00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18932 time: 1.05e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc866f870]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18923 time: 2.32e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc856a970]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18920 time: 1.69e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e0c790]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18905 time: 1.8e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e09b40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18902 time: 1.23e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80425e90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18893 time: 1.61e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776aea0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18884 time: 2.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879ee10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18225 time: 1.87e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8669b00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18219 time: 1.55e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc5034b40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18195 time: 1.96e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8653bf0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18189 time: 1.5e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7d1059d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18183 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x1b0dd480]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18180 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc87592c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18177 time: 2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xb076fc00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18171 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc87591a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17522 time: 1.09e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc780fb90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17519 time: 7.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8660df0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18911 time: 8.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7802fa0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17516 time: 1.49e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x1b0dd1e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17510 time: 2.26e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc780ae60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18875 time: 3.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc78023c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17501 time: 8.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc85693b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17498 time: 1.63e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc859acc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17492 time: 2.29e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8569640]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17489 time: 1.89e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8704c00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17486 time: 1.38e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6df7e00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17483 time: 3.11e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7819660]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17477 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc875a3e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17474 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xb076fad0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17471 time: 3.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879e790]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16923 time: 3.46e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8664f00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16920 time: 3.98e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6df7c90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16917 time: 4.14e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776b1c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16908 time: 4.7e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86581f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16899 time: 5.35e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8659c10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16890 time: 4.43e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc85903e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16884 time: 6.22e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8677320]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16881 time: 1.117e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc780adc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18887 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8590270]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16887 time: 6.7e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc876cad0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16863 time: 3.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4eb2350]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16237 time: 3.84e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8598400]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16225 time: 3.21e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83d2c00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16222 time: 3.74e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7773de0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16207 time: 3.81e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6da9780]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16204 time: 4.32e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc85964f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16198 time: 9.58e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8656f80]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16186 time: 5.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83d4160]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16183 time: 5.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc78175c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15387 time: 2.29e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8661f40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15381 time: 1.69e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8661e80]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16195 time: 6.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86918f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15378 time: 1.08e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879ca30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15375 time: 1.71e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4f5b0e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15366 time: 1.47e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc5035340]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15357 time: 1.3e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776be20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15354 time: 1.76e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4f5b2f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15351 time: 2.34e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8695e20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15342 time: 5.71e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e87220]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15336 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776d110]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15333 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e17e20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15330 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83d42e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15327 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8571350]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14716 time: 2.12e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x9e5b7210]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14713 time: 2.17e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7812fd0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14710 time: 1.63e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879dc70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14704 time: 2.46e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8664990]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14701 time: 2.28e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x804011d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14686 time: 1.42e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7770640]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14707 time: 9.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8795260]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14689 time: 1.72e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc89125e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14680 time: 3.37e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8922220]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14674 time: 1.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc5035010]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14668 time: 5.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8675d60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14665 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879cc00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14656 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc835f420]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14071 time: 2.04e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc867e8b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14062 time: 9.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80428f60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18186 time: 4.7e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc867e790]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14059 time: 2.02e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e2ffb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14056 time: 1.78e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776a200]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14041 time: 1.23e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776a090]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14038 time: 7.57e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879fdf0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14035 time: 2.09e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8598980]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14032 time: 2.05e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7805f50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14029 time: 1.39e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83c9a60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14026 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80400da0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14014 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8571680]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13370 time: 8.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x723fcfb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13367 time: 1.54e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc859ae40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16869 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8696260]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13358 time: 1.81e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e106f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18174 time: 1.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7774b60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13352 time: 2.36e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc866ff00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13349 time: 1.4e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7803f70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13346 time: 1.95e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc859a8c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13340 time: 7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc859a7a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13337 time: 2.35e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879d5b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13334 time: 1.94e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x804385b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13325 time: 2.43e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8586230]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13319 time: 1.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4f5b1d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16192 time: 1.47e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc858a470]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13313 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86914e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13310 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4eb44d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12667 time: 1.14e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7804290]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12658 time: 8.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8579e30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12649 time: 1.52e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776ed00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12646 time: 7.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x8043b530]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12640 time: 8.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8660ca0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18908 time: 1.72e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8617250]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12637 time: 1.14e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8691440]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12631 time: 2.05e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e37fa0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12622 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8579f60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12619 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc858fa70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12616 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86664d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12613 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7774600]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12062 time: 4.67e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8666380]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12059 time: 7.24e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8586000]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13328 time: 1.8e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc85cb500]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12044 time: 7.15e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e70900]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12041 time: 3.214e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc867b7b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12038 time: 6.21e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8691240]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12032 time: 5.16e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6dc9e70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12005 time: 1.19e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77f0dc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14050 time: 8.37e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e42f00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11379 time: 3.81e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc857e970]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11376 time: 3.924e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879d260]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11364 time: 6.6e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77741c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11361 time: 6.13e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4f5a310]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11358 time: 3.74e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc865dde0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14695 time: 2.47e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8917530]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11355 time: 5.93e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8651d50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11349 time: 6.82e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8647820]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12029 time: 8.42e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7767a70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11346 time: 6.45e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc833b5f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11340 time: 1.144e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xf998890]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11337 time: 4.71e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86c7210]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11334 time: 1.245e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4f5a510]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11322 time: 1.16e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x1db9af50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10523 time: 2.09e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7802120]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10520 time: 2.93e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc876c5c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10517 time: 8.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc876c450]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10514 time: 2.12e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x8043b9e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10511 time: 1.8e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc856e770]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10499 time: 1.9e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776bfd0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10496 time: 1.8e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc2db97e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10490 time: 2.2e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e099a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18899 time: 4.02e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83d5420]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10481 time: 2.56e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8799c30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10475 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc2dc6d60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10472 time: 2.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77f5140]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10469 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x71f34310]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9855 time: 1.4e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e7d150]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9852 time: 1.61e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776abc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9849 time: 1.66e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e04ba0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9843 time: 2.11e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77727a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9840 time: 1.92e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e04e30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9834 time: 1.66e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc87a0f50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9828 time: 1.82e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80425a20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16231 time: 1.89e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e10060]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11367 time: 5.99e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc2db9a40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9822 time: 1.93e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8908f00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9819 time: 2.64e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc87a0b50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9816 time: 2.82e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc867ac90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9813 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8593440]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9810 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4f5e670]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9807 time: 2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77da180]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13343 time: 2.02e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4f5b8b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9804 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776d310]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15369 time: 1.89e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc835f9b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9798 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc835f740]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9795 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7770cb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18228 time: 1.71e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e10d90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9210 time: 8.1e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc835fa50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9207 time: 5.76e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4eb6f40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9204 time: 6.29e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8919830]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9198 time: 5.8e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc87a0de0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9801 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x804021f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9195 time: 5.39e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8654950]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9192 time: 5.71e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e109b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14068 time: 2e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x804038f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9189 time: 9.59e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e870d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14692 time: 1.82e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc85c2ee0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9186 time: 6.38e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e0bd70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9183 time: 6.36e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77f4770]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9174 time: 7.73e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8919430]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9171 time: 6.28e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e0c420]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9168 time: 5.45e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8917680]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10487 time: 2.44e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x9a1859f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9162 time: 2.16e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8928400]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10505 time: 2.51e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4f5e5d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9159 time: 1.03e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77f16d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18896 time: 1.93e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8657fc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9153 time: 1.11e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7819820]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9180 time: 4.02e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d9a340]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8506 time: 1.77e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc875aae0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18231 time: 1.43e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776e3d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8488 time: 9.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e088a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8482 time: 1.89e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e1d020]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16216 time: 4.07e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x803e4a40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8479 time: 1.14e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8677480]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16893 time: 1.005e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc859a590]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8476 time: 1.63e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8614cb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8473 time: 2.29e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc865e1a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14683 time: 2.5e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8678180]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8470 time: 2.49e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x5ccbdae0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8464 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77da0c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15348 time: 1.65e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xbf33beb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12625 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7d108ad0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8461 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77719e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8458 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc87699f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8452 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8358510]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16911 time: 4.5e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc864a170]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7794 time: 8.76e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83d51d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7791 time: 5.993e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc864a2c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7797 time: 3.94e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8611db0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7785 time: 2.97e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8771060]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7773 time: 5.76e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc867b170]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7758 time: 7.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc876a850]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16210 time: 2.6e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc856b570]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7201 time: 4.25e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e10550]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18213 time: 1.49e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7814e50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7198 time: 6.51e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc869ed50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7189 time: 1.113e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc85fb2e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7186 time: 5.79e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc878fbb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14044 time: 1.72e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc85aa8b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7180 time: 3.44e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879f3e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7177 time: 9.35e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc832b240]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7171 time: 2.028e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc89195e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7168 time: 1.93e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83d3380]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7165 time: 6.87e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e8fc80]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 256 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc87704e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4331 time: 5.01e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e50fa0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 255 time: 4.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e7b040]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 253 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x27e8d400]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7770 time: 7.95e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e8c630]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 252 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e88d50]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 249 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e88c50]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 248 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e7f960]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 239 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x2795fc50]:4608 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 343 time: 7.39e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e7f730]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 238 time: 6.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e7b560]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 234 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e39270]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17507 time: 7.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86494d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16905 time: 4.4e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56de1110]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 81 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7d1058a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18207 time: 1.75e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc866d1f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15384 time: 1.47e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e09380]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 120 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e773a0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 230 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56de34c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 83 time: 4.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e75720]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 228 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e73ad0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 226 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4eb4700]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12002 time: 1.5e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e71e20]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 224 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d83150]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 105 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e6e650]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 221 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e6e550]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 220 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e37630]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 162 time: 4.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879f7f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7779 time: 1.101e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc2db76a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4988 time: 1.64e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e6c8c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 219 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77736c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11373 time: 6.36e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e305b0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 210 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc866e280]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3612 time: 2.29e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8750bb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12011 time: 6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d9aee0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7764 time: 4.55e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e62340]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 209 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ee31d0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 329 time: 7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc891b680]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14698 time: 2.65e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83cb260]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4976 time: 2.19e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e603d0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 206 time: 4.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e75820]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 229 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e5e6b0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 204 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e5add0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 201 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc863b630]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12035 time: 7.61e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc483ad30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4292 time: 1.06e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e59130]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 199 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8912f90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4964 time: 1.74e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4eb1d90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7150 time: 1.02e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dc12e0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 50 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d6f960]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 4 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc85b4070]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7755 time: 1.22e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e4fb70]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 191 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e2f940]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 190 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83d5cf0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5662 time: 2.2e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77f5010]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14023 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8922040]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14017 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e45a30]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 179 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dad7b0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 23 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e43da0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 177 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e66f10]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 212 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e43ce0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 176 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e41e40]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 174 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e5e770]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 205 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e40590]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 173 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77f4990]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2918 time: 7.37e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e3e8c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 171 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db64a0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 34 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc2dc6cc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10466 time: 2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e35ba0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 161 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e5ca70]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 203 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e35aa0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 160 time: 5.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e7d2e0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 237 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e30e20]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 157 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc87a04e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11343 time: 8.36e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x809a4200]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1675 time: 1.85e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc859aba0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16914 time: 3.22e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x27add890]:4096 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 349 time: 5.3e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ddbbf0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 155 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ddbaf0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 154 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc867eec0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4295 time: 8.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e260c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 149 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e25140]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 148 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x809ffdf0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1684 time: 9.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7805c50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4319 time: 5.21e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc867a7a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18890 time: 1.18e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86aa210]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13364 time: 1.48e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e68e20]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 214 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e7e040]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 251 time: 4.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e37b50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14065 time: 1.77e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e209a0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 145 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dfeca0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 111 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc866fb10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18926 time: 1.82e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e556f0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 194 time: 3.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ea1830]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 273 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e57390]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 196 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e1ee80]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 142 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x27964870]:3072 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 353 time: 3.49e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e1d330]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 141 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc866a630]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18914 time: 1.65e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e47770]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 181 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e0e680]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 126 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc865e060]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15339 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e2e1b0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 313 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x2795c7b0]:2304 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 339 time: 2.36e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7804140]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12655 time: 2.88e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8647fb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2930 time: 7.77e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e292f0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 153 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8658420]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18878 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e4aff0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 187 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e1d230]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 140 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e1acd0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 138 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e19090]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 137 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e0e780]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 127 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e27d40]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 151 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e0ffc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12008 time: 1.17e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e17340]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 134 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e6aac0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 216 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56de8b60]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 88 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db65a0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 35 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8608ed0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2888 time: 1.987e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e13b20]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 131 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7811f90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5659 time: 1.77e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e13a20]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 130 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc1c3ba80]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2915 time: 1.697e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e7b660]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 235 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e09480]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 121 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6dc9ca0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12628 time: 2.32e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e11fd0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 128 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x804295e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1729 time: 1.76e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ea1730]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 272 time: 4.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x809ff8f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1690 time: 1.17e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dfb370]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 107 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56daae90]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 18 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e120d0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 129 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dc4c00]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 54 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db2360]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7752 time: 7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e75270]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 247 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc875b040]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4334 time: 3.84e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e45970]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 178 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56da4ba0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 8 time: 3.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dbc540]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 45 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e30d60]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 156 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc892b360]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7183 time: 7.78e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e392c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 165 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dcb420]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 60 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dcdad0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 63 time: 2.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc780fcc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16896 time: 5.21e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc878ff00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3624 time: 1.75e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e7d1e0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 236 time: 4.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d77120]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 5 time: 6.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8670f40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4322 time: 1.587e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc867f790]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13316 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dbc440]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 44 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d8df10]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 36 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dc3070]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 53 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83c9450]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10526 time: 1.69e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8926860]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7776 time: 4.64e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e47420]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4994 time: 1.31e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e8e310]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 254 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e85260]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 246 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e557f0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 195 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7771180]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15372 time: 1.76e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e070a0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 119 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8794da0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4982 time: 2.61e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e5c970]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 202 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56da5e10]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 11 time: 2.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dac380]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 21 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56de7640]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 87 time: 9.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776dc30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8467 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56de10d0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 80 time: 4.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80a0ae30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1687 time: 1.16e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x804276b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1699 time: 1.12e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e67010]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 213 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x9e5b7440]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14659 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e080c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8491 time: 2.09e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e0aef0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 123 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86469f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5653 time: 1.73e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83d1470]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18216 time: 1.66e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e15810]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 133 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc869a4e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18192 time: 1.95e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e37d90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12643 time: 1.94e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8799e50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9825 time: 1.68e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e15310]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7746 time: 1.3e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db01c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 27 time: 2.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dd1ec0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 67 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc876a570]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8509 time: 8.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d77e40]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 6 time: 2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56df6860]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 103 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dd3aa0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 69 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8769a90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8455 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e3e7c0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 170 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56da6ec0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 12 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56efd460]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 332 time: 4.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8695310]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12661 time: 9.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8654360]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6512 time: 1.456e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x27aee120]:1572864 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 340 time: 7.02e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e0cae0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 125 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e81a50]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 241 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8722c50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6488 time: 3.69e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e2e0f0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 312 time: 5.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56da80e0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 14 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc2dc6af0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14662 time: 2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d90ff0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 38 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e26ff0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 152 time: 7.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8921b30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4952 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dba700]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 43 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56da6f80]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 13 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8927f70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5617 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e355f0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 211 time: 4.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e224c0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 146 time: 4.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eb63a0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 295 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7d103390]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2310 time: 1.57e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56daed90]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 25 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e9b860]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 266 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d979a0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 37 time: 4.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e0dd70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4937 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eb1030]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 291 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80427c80]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1717 time: 7.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x5cc04c50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9177 time: 6.65e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e49a60]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 182 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc835f5d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15345 time: 2.58e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ec1810]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 307 time: 4.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e4ab40]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 189 time: 4.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d8c180]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 39 time: 2.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dc4d00]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 55 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dc8d40]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 58 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc833b700]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11325 time: 1.02e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d72ab0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 1 time: 2.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e7aec0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 245 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80425900]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16228 time: 1.066e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e53d20]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 193 time: 3.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dd1dc0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 66 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83d3780]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4313 time: 9.21e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dc13e0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 51 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8598c40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9165 time: 6.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8612100]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5656 time: 1.37e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db8ab0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 40 time: 3.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dfcef0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 108 time: 3.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56da9a60]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 16 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83c9b20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12664 time: 2.08e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56de6ef0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 86 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80439d40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2334 time: 7.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dac2c0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 20 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e12270]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16213 time: 3.53e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dc7100]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 56 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776f280]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12610 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dd5730]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 71 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ddde20]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 77 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc1302660]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2286 time: 1.8e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e73400]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 250 time: 4.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e01220]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 113 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e66920]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 282 time: 8.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ebfb80]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 305 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56daecd0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 24 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e99600]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 265 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ddfb40]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 79 time: 5.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e46cc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10502 time: 1.51e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e3cb00]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 168 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7802e20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17513 time: 1.97e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86651c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12607 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dc8e40]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 59 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d73fb0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 3 time: 1.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80428160]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2340 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e40490]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 172 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dcb520]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 61 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56daaf50]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 19 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dcd9d0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 62 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc855f840]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2900 time: 8.75e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e702b0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 223 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e09d30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6503 time: 5.47e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e336a0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 158 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8670a40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16219 time: 1.92e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dad6f0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 22 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dd0170]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 65 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc78076d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2280 time: 2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dd0070]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 64 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80438a20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16878 time: 1.52e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dd39a0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 68 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e792c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 233 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56df2e10]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 98 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6dc9d60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12056 time: 8.08e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc867e9a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7767 time: 1.615e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dd5630]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 70 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dd73c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 73 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ded890]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 92 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eb8690]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 296 time: 3.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc876d070]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7806 time: 2.24e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e364d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7192 time: 3.43e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e1add0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 139 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56def8b0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 95 time: 5.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dba600]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 42 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e22580]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 147 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dbdf40]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 47 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e3cc00]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 169 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ddb110]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 74 time: 5.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e2fdb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14053 time: 4.04e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e73b90]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 227 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e39150]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17504 time: 2.22e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x27991310]:393216 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 336 time: 2.12e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ddb210]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 75 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879e040]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16902 time: 3.38e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e0adf0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 122 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e6c800]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 218 time: 4.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e04880]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 117 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xbf13f7e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4301 time: 4.56e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8918e30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18204 time: 1.4e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc87565b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11370 time: 3.41e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db1e20]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 29 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e604d0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 207 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc875e690]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3636 time: 1.86e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77fa260]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12634 time: 2.06e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56de2d00]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 82 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56da9b20]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 17 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eb1db0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 310 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e71ee0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 225 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc864a4b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2891 time: 1.219e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e57490]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 197 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e1ef80]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 143 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80a001a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1693 time: 9.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc839bde0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13355 time: 1.69e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e6ab80]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 217 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56de8c20]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 89 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ebc160]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 300 time: 5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776ddc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8500 time: 7.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e701b0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 222 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80427540]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1696 time: 1.58e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e853d0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 257 time: 3.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db35f0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 30 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ded990]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 93 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7770ea0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17480 time: 1.18e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879e560]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15360 time: 3.42e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eb8790]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 297 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x9a185b10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6458 time: 1.77e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dfb270]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 106 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db8bb0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 41 time: 2.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4eb22b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16875 time: 1.48e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776d5e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14047 time: 2.19e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc780da70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6509 time: 6.26e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dfcff0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 109 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8669d70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18201 time: 1.07e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e17440]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 135 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56df11e0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 96 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86c73f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11331 time: 2.14e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eb5a70]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 311 time: 2.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56df14c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 97 time: 5.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e3af10]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 167 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc867f8f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13322 time: 3.14e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56df4ab0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 100 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ebd6e0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 314 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e01120]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 112 time: 3.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8651ae0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7174 time: 1.07e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56da8770]:512 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 335 time: 3.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc865a580]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3639 time: 7.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e62240]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 208 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8676f10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13331 time: 1.75e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc867b460]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7195 time: 8.54e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56df4b70]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 101 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e15710]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 132 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ebddf0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 302 time: 6.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ed7dd0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 327 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eb2130]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 290 time: 6.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e81950]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 240 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e0c9e0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 124 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7d104ca0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2316 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4f84cc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5611 time: 1.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56da4c60]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 9 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eacef0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 286 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e0d700]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5629 time: 2.12e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e18fd0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 136 time: 4.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e02a30]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 114 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879d930]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18929 time: 1.41e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e1d340]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3609 time: 1.77e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e02af0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 115 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d6fe40]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 2 time: 1.01e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8659ac0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16240 time: 1.83e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x803ee800]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4343 time: 5.47e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e06fa0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 118 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e4d7c0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 186 time: 4.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e53c20]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 192 time: 5.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8661050]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6470 time: 2.23e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8608640]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11352 time: 6.6e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e78c20]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 242 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e33720]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 159 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e53370]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 244 time: 4.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4eb2520]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16872 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e37730]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 163 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e10760]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 258 time: 5.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83d1de0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18210 time: 8.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56def1b0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 94 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dbf740]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 48 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8590110]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2933 time: 1.01e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e8d6b0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 259 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7770ae0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17528 time: 7.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ecde60]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 317 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80426580]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1705 time: 1.34e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e774a0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 231 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e959d0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 260 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e59030]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 198 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db0100]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 26 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e95a90]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 261 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e97870]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 262 time: 4.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8649e10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16866 time: 5.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e97970]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 263 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e99500]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 264 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc864de00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17495 time: 2.94e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56de5a40]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 85 time: 7.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e9b960]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 267 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e9dcb0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 268 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e9ddb0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 269 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ea82e0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 289 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e3c270]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 243 time: 2.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e9fca0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 271 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x378c2db0]:393216 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 356 time: 1.133e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x27acffc0]:2048 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 359 time: 4.14e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db6dd0]:1024 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 337 time: 2.1e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e8f770]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 274 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80439a20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10484 time: 2.63e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56df2ed0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 99 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x27adf5c0]:3072 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 361 time: 7.35e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ea13c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 275 time: 2.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc0c5d750]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3630 time: 2.05e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eae3f0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 287 time: 4.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e71990]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 277 time: 5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8677710]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6515 time: 6.25e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ea6d40]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 278 time: 3.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ea2a40]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 279 time: 5.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879c990]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16189 time: 5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8657b20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9201 time: 1.072e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc876cf20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7803 time: 8.99e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e87150]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 281 time: 4.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7c5977b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7800 time: 4.37e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e66960]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 283 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc869ffe0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16180 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8721f40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14011 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dc7200]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 57 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e9fba0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 270 time: 3.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7812720]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2313 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7d104870]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2295 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ea87e0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 284 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eab270]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 285 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc876fac0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8503 time: 1.62e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ea8220]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 288 time: 4.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e3ae50]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 166 time: 3.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ea2dd0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 276 time: 5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eb4310]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 292 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eb62a0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 294 time: 4.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e49b60]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 183 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eba580]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 298 time: 8.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x71f34210]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10478 time: 2.5e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eba680]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 299 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ddf370]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 78 time: 6.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ebc260]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 301 time: 3.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7769610]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7761 time: 6.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e07fd0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 185 time: 5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ebdef0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 303 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ebfa80]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 304 time: 5.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8696500]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12023 time: 7.26e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7d103690]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4943 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ec15e0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 306 time: 5.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ec3270]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 308 time: 5.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ec34a0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 309 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8926d10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15363 time: 1.64e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc85aa6b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7749 time: 8.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e391c0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 164 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e27c80]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 150 time: 4.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eb6bd0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 318 time: 4.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ec42d0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 319 time: 4.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db36b0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 31 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ec4560]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 320 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e41f40]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 175 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ed53e0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 324 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e354f0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 321 time: 7.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc869a610]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18881 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x804268b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1708 time: 1.15e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dd72c0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 72 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56eb41b0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 322 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8752d10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2921 time: 8.74e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x37c90430]:3538944 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 344 time: 2.64e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e2ce30]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 323 time: 3.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86960b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12026 time: 8.59e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7d107790]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2328 time: 1.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d70b00]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 0 time: 2.22e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77effe0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3600 time: 3.39e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc867a950]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9846 time: 9.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ed54a0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 325 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86944b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5632 time: 2.37e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ecdda0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 316 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ed22f0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 328 time: 6.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e2e8e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4940 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4eb49d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6479 time: 1.119e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ebdb10]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 315 time: 5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ef1ad0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 330 time: 6.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e208a0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 144 time: 4.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e14fd0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2945 time: 9.7e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ef1bd0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 331 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56efd560]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 333 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x27979300]:98304 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 334 time: 1.454e-05\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7c7154f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4958 time: 1.95e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db4930]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 32 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8607260]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2903 time: 4.333e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x377eada0]:884736 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 338 time: 3.75e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x2796d200]:2048 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 341 time: 2.98e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc866b4a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18198 time: 1.73e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8659f60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7782 time: 6.08e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x37930420]:3538944 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 342 time: 2.64e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8616010]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6482 time: 8.74e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x37ff0440]:7962624 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 346 time: 2.89e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7d1093a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2319 time: 1.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x27ac5550]:6912 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 347 time: 4.56e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d83e00]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 104 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x38788450]:6291456 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 348 time: 1.68e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8754b00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4955 time: 2.84e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x38d88460]:9437184 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 350 time: 1.93e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e5acd0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 200 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80428360]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1726 time: 1.25e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83c9c70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14020 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8657ea0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9156 time: 9.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x279678f0]:6144 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 351 time: 1.173e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80426a40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1711 time: 8.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8921930]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4346 time: 6.99e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8609050]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2298 time: 1.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xb507f810]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6497 time: 3.48e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x27c6e130]:1572864 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 354 time: 1.56e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc5035120]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14677 time: 2.76e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x2795e380]:2048 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 355 time: 2.96e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db69c0]:1024 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 357 time: 1.53e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x399e8480]:1572864 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 358 time: 2.33e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x39b68490]:3538944 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 360 time: 2.35e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56deb3d0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 90 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc861b280]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2924 time: 1.066e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8916020]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12017 time: 8.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x39ec84a0]:6291456 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 362 time: 1.98e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x27acd440]:4096 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 363 time: 3.13e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x8030b4d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1669 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80a0f0c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1672 time: 4.36e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc866be90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6473 time: 1.35e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80a0b460]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1678 time: 1.43e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7807480]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12652 time: 2.12e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc776b540]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9831 time: 1.6e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80a0d340]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1681 time: 9.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80427a70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1714 time: 1.22e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc866c110]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2912 time: 7.66e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80427e20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1720 time: 1.1e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc78127c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2283 time: 2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80439880]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2292 time: 1.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80437e90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2301 time: 2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc869fea0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18872 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc838b7c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8494 time: 2.66e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e89fd0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 293 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc875a310]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2304 time: 2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc78022c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11328 time: 2.1e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x27ad2f00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8485 time: 1.99e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dbf840]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 49 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc857ecd0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2307 time: 1.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8618c70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2322 time: 2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7d104bd0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2325 time: 2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77709f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17525 time: 2.74e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77f2950]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2337 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879fa90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2885 time: 7.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc892d580]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2894 time: 7.49e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86c6d40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12047 time: 5.41e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8670300]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2331 time: 1.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8913fc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4967 time: 1.87e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc780c020]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2897 time: 3.92e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e4fdd0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 188 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc78108f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2906 time: 5.75e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc780e9c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2909 time: 1.051e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc88ce750]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5620 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56d77d50]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 7 time: 1.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86070e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2936 time: 4.29e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e17190]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2939 time: 3.46e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8575420]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3588 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8911e70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12053 time: 4.6e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc875c5e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3591 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879b9e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10508 time: 2.38e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x1ac3cd00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3594 time: 4.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80427fc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1723 time: 7.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x5cde0e40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3597 time: 1.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8598ba0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9150 time: 1.15e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc857ebc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4961 time: 2.82e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56da81a0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 15 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xbf33b4d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3603 time: 2.36e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dbde40]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 46 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc866fc50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3606 time: 1.08e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e791c0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 232 time: 4.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db1d60]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 28 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7769de0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3618 time: 6.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80400b60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3621 time: 1.62e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e07940]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3627 time: 9.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc87f5640]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10493 time: 2.35e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879ec00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6500 time: 5.79e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e0d5f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3633 time: 1.7e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc83d1bc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3645 time: 4.27e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56db49f0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 33 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86482d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3648 time: 1.9e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e15590]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4289 time: 6.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77d9e40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4298 time: 8.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc878f870]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4304 time: 2.3e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56de4d80]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 84 time: 3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e15f10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4985 time: 1.35e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dddb20]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 76 time: 5.5e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x803ec160]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4316 time: 1.298e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7772fd0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18222 time: 1.09e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4f5c680]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4325 time: 8.9e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77677b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7788 time: 1.197e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8712f10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5623 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x39688470]:3538944 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 352 time: 2.22e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4f5f780]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4307 time: 1.227e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc876b280]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4328 time: 1.207e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56da5d50]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 10 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8919d50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4337 time: 8.51e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x5ccbdbf0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8449 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc85cafc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4340 time: 1.031e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7772990]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4349 time: 2.3e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc857eda0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4934 time: 2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86778d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4946 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc866fd60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4949 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e09f30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4970 time: 1.81e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e707d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4973 time: 1.46e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xb076fcf0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17468 time: 4.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e476b0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 180 time: 4.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8666020]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4979 time: 1.72e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc856a820]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18917 time: 3.38e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8617ca0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12020 time: 6.41e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e1d4d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2942 time: 1.327e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8927e30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4991 time: 2.11e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8691640]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5605 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80439e10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12050 time: 1.108e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8582ce0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11319 time: 1.15e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7801d80]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5608 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc87904f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13361 time: 9.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8661110]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5665 time: 2.46e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e83840]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5614 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc88f42f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5626 time: 2.44e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ea7c40]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 280 time: 4.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7816270]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3642 time: 2.32e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4c01360]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5635 time: 1.3e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x27adbba0]:3072 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 345 time: 6.15e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86942d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5638 time: 2.16e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e68ee0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 215 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56deb4d0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 91 time: 4.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86468a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5641 time: 1.83e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7769470]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2289 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879f5d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5644 time: 1.97e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80425680]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8497 time: 2.12e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc78145c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2927 time: 7.56e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8646ef0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5647 time: 2.33e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8926b90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16201 time: 3.85e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xbd848550]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5650 time: 1.64e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x80427820]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1702 time: 6.8e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77f3ce0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6461 time: 1.07e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7d105650]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6464 time: 1.34e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8375a00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12014 time: 2.23e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc77f3d80]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6467 time: 6.7e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7c6903e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6476 time: 8.21e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8924550]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16234 time: 3.79e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc86598c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6485 time: 6.97e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc89220e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14671 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8926630]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6491 time: 1.454e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e43cb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6494 time: 6.48e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8658840]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6506 time: 1.106e-06\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e27200]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 184 time: 5.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56e04780]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 116 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc8671090]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3615 time: 1.67e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e0a3f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6518 time: 2.7e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879c690]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7141 time: 8.2e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc879f1a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9837 time: 1.89e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc6e300f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7144 time: 1.19e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56ed7cd0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 326 time: 4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7776400]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7147 time: 1.04e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56df67a0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 102 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x7bb08d10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7153 time: 7.6e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dc2f70]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 52 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4c06570]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4310 time: 8.76e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x803f8580]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7156 time: 7.4e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc7805860]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7159 time: 7.9e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x56dfeba0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 110 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0xc4eb1ea0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7162 time: 8.7e-07\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] -------------- The current device memory allocations dump as below --------------\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0]:8589934592 :HybridGlobWriter in reserveMemory: at optimizer/common/globWriter.cpp: 438 idx: 2908 time: 0.00690646\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] [0x302000000]:5002756096 :HybridGlobWriter in reserveMemory: at optimizer/common/globWriter.cpp: 416 idx: 1978 time: 0.00014758\n",
|
|
"[07/22/2022-16:22:28] [W] [TRT] Requested amount of GPU memory (8589934592 bytes) could not be allocated. There may not be enough free memory for allocation to succeed.\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] Skipping tactic 8 due to insufficient memory on requested size of 8589934592 detected for tactic 0x000000000000003c.\n",
|
|
"Try decreasing the workspace size with IBuilderConfig::setMemoryPoolLimit().\n",
|
|
"[07/22/2022-16:22:29] [E] Error[2]: [virtualMemoryBuffer.cpp::resizePhysical::144] Error Code 2: OutOfMemory (no further information)\n",
|
|
"[07/22/2022-16:22:29] [E] Error[2]: [virtualMemoryBuffer.cpp::resizePhysical::144] Error Code 2: OutOfMemory (no further information)\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] -------------- The current system memory allocations dump as below --------------\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc879db00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18932 time: 1.05e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc866f870]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18923 time: 2.32e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc856a970]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18920 time: 1.69e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e0c790]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18905 time: 1.8e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e09b40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18902 time: 1.23e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80425e90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18893 time: 1.61e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc776aea0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18884 time: 2.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc879ee10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18225 time: 1.87e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8669b00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18219 time: 1.55e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc5034b40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18195 time: 1.96e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8653bf0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18189 time: 1.5e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x7d1059d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18183 time: 3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x1b0dd480]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18180 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc87592c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18177 time: 2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xb076fc00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18171 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc87591a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17522 time: 1.09e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc780fb90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17519 time: 7.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8660df0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18911 time: 8.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7802fa0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17516 time: 1.49e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x1b0dd1e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17510 time: 2.26e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc780ae60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18875 time: 3.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc78023c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17501 time: 8.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc85693b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17498 time: 1.63e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc859acc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17492 time: 2.29e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8569640]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17489 time: 1.89e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8704c00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17486 time: 1.38e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6df7e00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17483 time: 3.11e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7819660]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17477 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc875a3e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17474 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xb076fad0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17471 time: 3.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc879e790]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16923 time: 3.46e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8664f00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16920 time: 3.98e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6df7c90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16917 time: 4.14e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc776b1c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16908 time: 4.7e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc86581f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16899 time: 5.35e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8659c10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16890 time: 4.43e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc85903e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16884 time: 6.22e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8677320]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16881 time: 1.117e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc780adc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18887 time: 3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8590270]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16887 time: 6.7e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc876cad0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16863 time: 3.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc4eb2350]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16237 time: 3.84e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8598400]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16225 time: 3.21e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc83d2c00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16222 time: 3.74e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7773de0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16207 time: 3.81e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6da9780]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16204 time: 4.32e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc85964f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16198 time: 9.58e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8656f80]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16186 time: 5.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc83d4160]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16183 time: 5.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc78175c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15387 time: 2.29e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8661f40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15381 time: 1.69e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8661e80]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16195 time: 6.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc86918f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15378 time: 1.08e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc879ca30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15375 time: 1.71e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc4f5b0e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15366 time: 1.47e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc5035340]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15357 time: 1.3e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc776be20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15354 time: 1.76e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc4f5b2f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15351 time: 2.34e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8695e20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15342 time: 5.71e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e87220]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15336 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc776d110]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15333 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e17e20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15330 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc83d42e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15327 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8571350]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14716 time: 2.12e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x9e5b7210]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14713 time: 2.17e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7812fd0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14710 time: 1.63e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc879dc70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14704 time: 2.46e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8664990]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14701 time: 2.28e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x804011d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14686 time: 1.42e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7770640]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14707 time: 9.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8795260]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14689 time: 1.72e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc89125e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14680 time: 3.37e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8922220]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14674 time: 1.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc5035010]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14668 time: 5.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8675d60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14665 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc879cc00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14656 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc835f420]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14071 time: 2.04e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc867e8b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14062 time: 9.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80428f60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18186 time: 4.7e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc867e790]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14059 time: 2.02e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e2ffb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14056 time: 1.78e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc776a200]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14041 time: 1.23e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc776a090]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14038 time: 7.57e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc879fdf0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14035 time: 2.09e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8598980]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14032 time: 2.05e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7805f50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14029 time: 1.39e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc83c9a60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14026 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80400da0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14014 time: 3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8571680]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13370 time: 8.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x723fcfb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13367 time: 1.54e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc859ae40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16869 time: 4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8696260]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13358 time: 1.81e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e106f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18174 time: 1.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7774b60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13352 time: 2.36e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc866ff00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13349 time: 1.4e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7803f70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13346 time: 1.95e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc859a8c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13340 time: 7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc859a7a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13337 time: 2.35e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc879d5b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13334 time: 1.94e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x804385b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13325 time: 2.43e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8586230]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13319 time: 1.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc4f5b1d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16192 time: 1.47e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc858a470]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13313 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc86914e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13310 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc4eb44d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12667 time: 1.14e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7804290]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12658 time: 8.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8579e30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12649 time: 1.52e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc776ed00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12646 time: 7.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x8043b530]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12640 time: 8.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8660ca0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18908 time: 1.72e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8617250]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12637 time: 1.14e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8691440]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12631 time: 2.05e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e37fa0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12622 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8579f60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12619 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc858fa70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12616 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc86664d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12613 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7774600]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12062 time: 4.67e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8666380]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12059 time: 7.24e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8586000]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13328 time: 1.8e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc85cb500]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12044 time: 7.15e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e70900]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12041 time: 3.214e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc867b7b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12038 time: 6.21e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8691240]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12032 time: 5.16e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6dc9e70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12005 time: 1.19e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc77f0dc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14050 time: 8.37e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e42f00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11379 time: 3.81e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc857e970]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11376 time: 3.924e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc879d260]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11364 time: 6.6e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc77741c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11361 time: 6.13e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc4f5a310]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11358 time: 3.74e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc865dde0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14695 time: 2.47e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8917530]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11355 time: 5.93e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8651d50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11349 time: 6.82e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8647820]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12029 time: 8.42e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7767a70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11346 time: 6.45e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc833b5f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11340 time: 1.144e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xf998890]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11337 time: 4.71e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc86c7210]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11334 time: 1.245e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc4f5a510]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11322 time: 1.16e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x1db9af50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10523 time: 2.09e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7802120]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10520 time: 2.93e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc876c5c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10517 time: 8.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc876c450]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10514 time: 2.12e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x8043b9e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10511 time: 1.8e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc856e770]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10499 time: 1.9e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc776bfd0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10496 time: 1.8e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc2db97e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10490 time: 2.2e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e099a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18899 time: 4.02e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc83d5420]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10481 time: 2.56e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8799c30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10475 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc2dc6d60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10472 time: 2.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc77f5140]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10469 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x71f34310]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9855 time: 1.4e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e7d150]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9852 time: 1.61e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc776abc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9849 time: 1.66e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e04ba0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9843 time: 2.11e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc77727a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9840 time: 1.92e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e04e30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9834 time: 1.66e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc87a0f50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9828 time: 1.82e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80425a20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16231 time: 1.89e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e10060]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11367 time: 5.99e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc2db9a40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9822 time: 1.93e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8908f00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9819 time: 2.64e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc87a0b50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9816 time: 2.82e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc867ac90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9813 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8593440]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9810 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc4f5e670]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9807 time: 2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc77da180]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13343 time: 2.02e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc4f5b8b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9804 time: 3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc776d310]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15369 time: 1.89e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc835f9b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9798 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc835f740]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9795 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7770cb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18228 time: 1.71e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e10d90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9210 time: 8.1e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc835fa50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9207 time: 5.76e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc4eb6f40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9204 time: 6.29e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8919830]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9198 time: 5.8e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc87a0de0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9801 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x804021f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9195 time: 5.39e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8654950]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9192 time: 5.71e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e109b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14068 time: 2e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x804038f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9189 time: 9.59e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e870d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14692 time: 1.82e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc85c2ee0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9186 time: 6.38e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e0bd70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9183 time: 6.36e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc77f4770]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9174 time: 7.73e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8919430]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9171 time: 6.28e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e0c420]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9168 time: 5.45e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8917680]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10487 time: 2.44e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x9a1859f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9162 time: 2.16e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8928400]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10505 time: 2.51e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc4f5e5d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9159 time: 1.03e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc77f16d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18896 time: 1.93e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8657fc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9153 time: 1.11e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7819820]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9180 time: 4.02e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56d9a340]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8506 time: 1.77e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc875aae0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18231 time: 1.43e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc776e3d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8488 time: 9.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e088a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8482 time: 1.89e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e1d020]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16216 time: 4.07e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x803e4a40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8479 time: 1.14e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8677480]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16893 time: 1.005e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc859a590]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8476 time: 1.63e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8614cb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8473 time: 2.29e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc865e1a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14683 time: 2.5e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8678180]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8470 time: 2.49e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x5ccbdae0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8464 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc77da0c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15348 time: 1.65e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xbf33beb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12625 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x7d108ad0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8461 time: 3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc77719e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8458 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc87699f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8452 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8358510]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16911 time: 4.5e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc864a170]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7794 time: 8.76e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc83d51d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7791 time: 5.993e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc864a2c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7797 time: 3.94e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8611db0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7785 time: 2.97e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8771060]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7773 time: 5.76e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc867b170]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7758 time: 7.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc876a850]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16210 time: 2.6e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc856b570]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7201 time: 4.25e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e10550]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18213 time: 1.49e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7814e50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7198 time: 6.51e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc869ed50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7189 time: 1.113e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc85fb2e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7186 time: 5.79e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc878fbb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14044 time: 1.72e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc85aa8b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7180 time: 3.44e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc879f3e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7177 time: 9.35e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc832b240]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7171 time: 2.028e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc89195e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7168 time: 1.93e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc83d3380]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7165 time: 6.87e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e8fc80]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 256 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc87704e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4331 time: 5.01e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e50fa0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 255 time: 4.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e7b040]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 253 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x27e8d400]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7770 time: 7.95e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e8c630]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 252 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e88d50]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 249 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e88c50]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 248 time: 4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e7f960]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 239 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x2795fc50]:4608 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 343 time: 7.39e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e7f730]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 238 time: 6.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e7b560]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 234 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e39270]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17507 time: 7.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc86494d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16905 time: 4.4e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56de1110]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 81 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x7d1058a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18207 time: 1.75e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc866d1f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15384 time: 1.47e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e09380]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 120 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e773a0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 230 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56de34c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 83 time: 4.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e75720]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 228 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e73ad0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 226 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc4eb4700]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12002 time: 1.5e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e71e20]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 224 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56d83150]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 105 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e6e650]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 221 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e6e550]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 220 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e37630]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 162 time: 4.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc879f7f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7779 time: 1.101e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc2db76a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4988 time: 1.64e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e6c8c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 219 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc77736c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11373 time: 6.36e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e305b0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 210 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc866e280]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3612 time: 2.29e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8750bb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12011 time: 6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56d9aee0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7764 time: 4.55e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e62340]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 209 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ee31d0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 329 time: 7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc891b680]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14698 time: 2.65e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc83cb260]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4976 time: 2.19e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e603d0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 206 time: 4.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e75820]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 229 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e5e6b0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 204 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e5add0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 201 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc863b630]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12035 time: 7.61e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc483ad30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4292 time: 1.06e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e59130]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 199 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8912f90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4964 time: 1.74e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc4eb1d90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7150 time: 1.02e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dc12e0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 50 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56d6f960]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 4 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc85b4070]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7755 time: 1.22e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e4fb70]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 191 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e2f940]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 190 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc83d5cf0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5662 time: 2.2e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc77f5010]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14023 time: 3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8922040]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14017 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e45a30]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 179 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dad7b0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 23 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e43da0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 177 time: 4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e66f10]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 212 time: 4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e43ce0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 176 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e41e40]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 174 time: 4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e5e770]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 205 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e40590]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 173 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc77f4990]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2918 time: 7.37e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e3e8c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 171 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56db64a0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 34 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc2dc6cc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10466 time: 2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e35ba0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 161 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e5ca70]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 203 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e35aa0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 160 time: 5.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e7d2e0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 237 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e30e20]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 157 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc87a04e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11343 time: 8.36e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x809a4200]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1675 time: 1.85e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc859aba0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16914 time: 3.22e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x27add890]:4096 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 349 time: 5.3e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ddbbf0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 155 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ddbaf0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 154 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc867eec0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4295 time: 8.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e260c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 149 time: 4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e25140]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 148 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x809ffdf0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1684 time: 9.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7805c50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4319 time: 5.21e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc867a7a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18890 time: 1.18e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc86aa210]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13364 time: 1.48e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e68e20]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 214 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e7e040]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 251 time: 4.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e37b50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14065 time: 1.77e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e209a0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 145 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dfeca0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 111 time: 3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc866fb10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18926 time: 1.82e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e556f0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 194 time: 3.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ea1830]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 273 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e57390]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 196 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e1ee80]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 142 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x27964870]:3072 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 353 time: 3.49e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e1d330]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 141 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc866a630]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18914 time: 1.65e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e47770]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 181 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e0e680]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 126 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc865e060]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15339 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e2e1b0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 313 time: 4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x2795c7b0]:2304 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 339 time: 2.36e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7804140]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12655 time: 2.88e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8647fb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2930 time: 7.77e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e292f0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 153 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8658420]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18878 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e4aff0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 187 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e1d230]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 140 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e1acd0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 138 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e19090]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 137 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e0e780]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 127 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e27d40]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 151 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e0ffc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12008 time: 1.17e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e17340]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 134 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e6aac0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 216 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56de8b60]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 88 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56db65a0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 35 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8608ed0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2888 time: 1.987e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e13b20]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 131 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7811f90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5659 time: 1.77e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e13a20]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 130 time: 4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc1c3ba80]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2915 time: 1.697e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e7b660]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 235 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e09480]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 121 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6dc9ca0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12628 time: 2.32e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e11fd0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 128 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x804295e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1729 time: 1.76e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ea1730]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 272 time: 4.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x809ff8f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1690 time: 1.17e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dfb370]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 107 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56daae90]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 18 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e120d0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 129 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dc4c00]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 54 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56db2360]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7752 time: 7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e75270]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 247 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc875b040]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4334 time: 3.84e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e45970]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 178 time: 4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56da4ba0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 8 time: 3.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dbc540]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 45 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e30d60]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 156 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc892b360]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7183 time: 7.78e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e392c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 165 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dcb420]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 60 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dcdad0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 63 time: 2.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc780fcc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16896 time: 5.21e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc878ff00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3624 time: 1.75e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e7d1e0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 236 time: 4.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56d77120]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 5 time: 6.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8670f40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4322 time: 1.587e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc867f790]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13316 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dbc440]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 44 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56d8df10]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 36 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dc3070]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 53 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc83c9450]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10526 time: 1.69e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8926860]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7776 time: 4.64e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e47420]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4994 time: 1.31e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e8e310]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 254 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e85260]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 246 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e557f0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 195 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7771180]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15372 time: 1.76e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e070a0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 119 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8794da0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4982 time: 2.61e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e5c970]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 202 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56da5e10]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 11 time: 2.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dac380]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 21 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56de7640]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 87 time: 9.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc776dc30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8467 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56de10d0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 80 time: 4.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80a0ae30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1687 time: 1.16e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x804276b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1699 time: 1.12e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e67010]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 213 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x9e5b7440]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14659 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e080c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8491 time: 2.09e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e0aef0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 123 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc86469f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5653 time: 1.73e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc83d1470]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18216 time: 1.66e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e15810]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 133 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc869a4e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18192 time: 1.95e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e37d90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12643 time: 1.94e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8799e50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9825 time: 1.68e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e15310]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7746 time: 1.3e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56db01c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 27 time: 2.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dd1ec0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 67 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc876a570]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8509 time: 8.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56d77e40]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 6 time: 2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56df6860]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 103 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dd3aa0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 69 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8769a90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8455 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e3e7c0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 170 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56da6ec0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 12 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56efd460]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 332 time: 4.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8695310]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12661 time: 9.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8654360]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6512 time: 1.456e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x27aee120]:1572864 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 340 time: 7.02e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e0cae0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 125 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e81a50]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 241 time: 4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8722c50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6488 time: 3.69e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e2e0f0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 312 time: 5.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56da80e0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 14 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc2dc6af0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14662 time: 2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56d90ff0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 38 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e26ff0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 152 time: 7.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8921b30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4952 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dba700]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 43 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56da6f80]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 13 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8927f70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5617 time: 3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e355f0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 211 time: 4.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e224c0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 146 time: 4.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56eb63a0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 295 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x7d103390]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2310 time: 1.57e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56daed90]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 25 time: 3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e9b860]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 266 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56d979a0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 37 time: 4.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e0dd70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4937 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56eb1030]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 291 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80427c80]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1717 time: 7.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x5cc04c50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9177 time: 6.65e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e49a60]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 182 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc835f5d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15345 time: 2.58e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ec1810]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 307 time: 4.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e4ab40]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 189 time: 4.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56d8c180]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 39 time: 2.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dc4d00]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 55 time: 3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dc8d40]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 58 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc833b700]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11325 time: 1.02e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56d72ab0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 1 time: 2.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e7aec0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 245 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80425900]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16228 time: 1.066e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e53d20]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 193 time: 3.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dd1dc0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 66 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc83d3780]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4313 time: 9.21e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dc13e0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 51 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8598c40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9165 time: 6.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8612100]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5656 time: 1.37e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56db8ab0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 40 time: 3.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dfcef0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 108 time: 3.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56da9a60]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 16 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc83c9b20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12664 time: 2.08e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56de6ef0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 86 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80439d40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2334 time: 7.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dac2c0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 20 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e12270]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16213 time: 3.53e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dc7100]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 56 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc776f280]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12610 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dd5730]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 71 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ddde20]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 77 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc1302660]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2286 time: 1.8e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e73400]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 250 time: 4.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e01220]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 113 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e66920]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 282 time: 8.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ebfb80]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 305 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56daecd0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 24 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e99600]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 265 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ddfb40]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 79 time: 5.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e46cc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10502 time: 1.51e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e3cb00]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 168 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7802e20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17513 time: 1.97e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc86651c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12607 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dc8e40]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 59 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56d73fb0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 3 time: 1.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80428160]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2340 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e40490]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 172 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dcb520]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 61 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56daaf50]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 19 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dcd9d0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 62 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc855f840]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2900 time: 8.75e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e702b0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 223 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e09d30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6503 time: 5.47e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e336a0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 158 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8670a40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16219 time: 1.92e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dad6f0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 22 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dd0170]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 65 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc78076d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2280 time: 2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dd0070]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 64 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80438a20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16878 time: 1.52e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dd39a0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 68 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e792c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 233 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56df2e10]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 98 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6dc9d60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12056 time: 8.08e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc867e9a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7767 time: 1.615e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dd5630]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 70 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dd73c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 73 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ded890]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 92 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56eb8690]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 296 time: 3.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc876d070]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7806 time: 2.24e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e364d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7192 time: 3.43e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e1add0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 139 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56def8b0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 95 time: 5.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dba600]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 42 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e22580]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 147 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dbdf40]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 47 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e3cc00]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 169 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ddb110]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 74 time: 5.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e2fdb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14053 time: 4.04e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e73b90]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 227 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e39150]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17504 time: 2.22e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x27991310]:393216 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 336 time: 2.12e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ddb210]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 75 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc879e040]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16902 time: 3.38e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e0adf0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 122 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e6c800]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 218 time: 4.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e04880]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 117 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xbf13f7e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4301 time: 4.56e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8918e30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18204 time: 1.4e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc87565b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11370 time: 3.41e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56db1e20]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 29 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e604d0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 207 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc875e690]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3636 time: 1.86e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc77fa260]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12634 time: 2.06e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56de2d00]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 82 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56da9b20]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 17 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56eb1db0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 310 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e71ee0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 225 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc864a4b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2891 time: 1.219e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e57490]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 197 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e1ef80]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 143 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80a001a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1693 time: 9.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc839bde0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13355 time: 1.69e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e6ab80]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 217 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56de8c20]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 89 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ebc160]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 300 time: 5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc776ddc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8500 time: 7.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e701b0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 222 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80427540]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1696 time: 1.58e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e853d0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 257 time: 3.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56db35f0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 30 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ded990]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 93 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7770ea0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17480 time: 1.18e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc879e560]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15360 time: 3.42e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56eb8790]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 297 time: 3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x9a185b10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6458 time: 1.77e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dfb270]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 106 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56db8bb0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 41 time: 2.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc4eb22b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16875 time: 1.48e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc776d5e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14047 time: 2.19e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc780da70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6509 time: 6.26e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dfcff0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 109 time: 3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8669d70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18201 time: 1.07e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e17440]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 135 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56df11e0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 96 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc86c73f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11331 time: 2.14e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56eb5a70]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 311 time: 2.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56df14c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 97 time: 5.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e3af10]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 167 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc867f8f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13322 time: 3.14e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56df4ab0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 100 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ebd6e0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 314 time: 3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e01120]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 112 time: 3.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8651ae0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7174 time: 1.07e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56da8770]:512 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 335 time: 3.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc865a580]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3639 time: 7.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e62240]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 208 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8676f10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13331 time: 1.75e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc867b460]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7195 time: 8.54e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56df4b70]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 101 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e15710]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 132 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ebddf0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 302 time: 6.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ed7dd0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 327 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56eb2130]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 290 time: 6.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e81950]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 240 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e0c9e0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 124 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x7d104ca0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2316 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc4f84cc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5611 time: 1.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56da4c60]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 9 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56eacef0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 286 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e0d700]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5629 time: 2.12e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e18fd0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 136 time: 4.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e02a30]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 114 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc879d930]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18929 time: 1.41e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e1d340]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3609 time: 1.77e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e02af0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 115 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56d6fe40]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 2 time: 1.01e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8659ac0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16240 time: 1.83e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x803ee800]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4343 time: 5.47e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e06fa0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 118 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e4d7c0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 186 time: 4.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e53c20]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 192 time: 5.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8661050]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6470 time: 2.23e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8608640]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11352 time: 6.6e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e78c20]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 242 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e33720]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 159 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e53370]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 244 time: 4.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc4eb2520]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16872 time: 4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e37730]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 163 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e10760]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 258 time: 5.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc83d1de0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18210 time: 8.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56def1b0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 94 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dbf740]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 48 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8590110]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2933 time: 1.01e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e8d6b0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 259 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7770ae0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17528 time: 7.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ecde60]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 317 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80426580]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1705 time: 1.34e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e774a0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 231 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e959d0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 260 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e59030]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 198 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56db0100]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 26 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e95a90]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 261 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e97870]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 262 time: 4.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8649e10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16866 time: 5.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e97970]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 263 time: 3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e99500]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 264 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc864de00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17495 time: 2.94e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56de5a40]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 85 time: 7.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e9b960]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 267 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e9dcb0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 268 time: 4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e9ddb0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 269 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ea82e0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 289 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e3c270]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 243 time: 2.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e9fca0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 271 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x378c2db0]:393216 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 356 time: 1.133e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x27acffc0]:2048 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 359 time: 4.14e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56db6dd0]:1024 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 337 time: 2.1e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e8f770]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 274 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80439a20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10484 time: 2.63e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56df2ed0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 99 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x27adf5c0]:3072 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 361 time: 7.35e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ea13c0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 275 time: 2.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc0c5d750]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3630 time: 2.05e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56eae3f0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 287 time: 4.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e71990]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 277 time: 5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8677710]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6515 time: 6.25e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ea6d40]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 278 time: 3.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ea2a40]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 279 time: 5.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc879c990]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16189 time: 5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8657b20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9201 time: 1.072e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc876cf20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7803 time: 8.99e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e87150]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 281 time: 4.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x7c5977b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7800 time: 4.37e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e66960]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 283 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc869ffe0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16180 time: 4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8721f40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14011 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dc7200]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 57 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e9fba0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 270 time: 3.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7812720]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2313 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x7d104870]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2295 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ea87e0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 284 time: 3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56eab270]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 285 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc876fac0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8503 time: 1.62e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ea8220]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 288 time: 4.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e3ae50]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 166 time: 3.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ea2dd0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 276 time: 5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56eb4310]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 292 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56eb62a0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 294 time: 4.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e49b60]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 183 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56eba580]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 298 time: 8.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x71f34210]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10478 time: 2.5e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56eba680]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 299 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ddf370]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 78 time: 6.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ebc260]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 301 time: 3.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7769610]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7761 time: 6.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e07fd0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 185 time: 5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ebdef0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 303 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ebfa80]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 304 time: 5.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8696500]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12023 time: 7.26e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x7d103690]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4943 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ec15e0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 306 time: 5.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ec3270]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 308 time: 5.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ec34a0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 309 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8926d10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 15363 time: 1.64e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc85aa6b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7749 time: 8.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e391c0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 164 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e27c80]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 150 time: 4.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56eb6bd0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 318 time: 4.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ec42d0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 319 time: 4.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56db36b0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 31 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ec4560]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 320 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e41f40]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 175 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ed53e0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 324 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e354f0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 321 time: 7.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc869a610]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18881 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x804268b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1708 time: 1.15e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dd72c0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 72 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56eb41b0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 322 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8752d10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2921 time: 8.74e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x37c90430]:3538944 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 344 time: 2.64e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e2ce30]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 323 time: 3.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc86960b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12026 time: 8.59e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x7d107790]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2328 time: 1.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56d70b00]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 0 time: 2.22e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc77effe0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3600 time: 3.39e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc867a950]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9846 time: 9.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ed54a0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 325 time: 4.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc86944b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5632 time: 2.37e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ecdda0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 316 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ed22f0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 328 time: 6.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e2e8e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4940 time: 3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc4eb49d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6479 time: 1.119e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ebdb10]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 315 time: 5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ef1ad0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 330 time: 6.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e208a0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 144 time: 4.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e14fd0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2945 time: 9.7e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ef1bd0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 331 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56efd560]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 333 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x27979300]:98304 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 334 time: 1.454e-05\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x7c7154f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4958 time: 1.95e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56db4930]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 32 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8607260]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2903 time: 4.333e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x377eada0]:884736 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 338 time: 3.75e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x2796d200]:2048 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 341 time: 2.98e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc866b4a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18198 time: 1.73e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8659f60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7782 time: 6.08e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x37930420]:3538944 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 342 time: 2.64e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8616010]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6482 time: 8.74e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x37ff0440]:7962624 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 346 time: 2.89e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x7d1093a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2319 time: 1.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x27ac5550]:6912 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 347 time: 4.56e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56d83e00]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 104 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x38788450]:6291456 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 348 time: 1.68e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8754b00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4955 time: 2.84e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x38d88460]:9437184 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 350 time: 1.93e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e5acd0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 200 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80428360]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1726 time: 1.25e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc83c9c70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14020 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8657ea0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9156 time: 9.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x279678f0]:6144 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 351 time: 1.173e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80426a40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1711 time: 8.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8921930]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4346 time: 6.99e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8609050]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2298 time: 1.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xb507f810]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6497 time: 3.48e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x27c6e130]:1572864 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 354 time: 1.56e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc5035120]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14677 time: 2.76e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x2795e380]:2048 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 355 time: 2.96e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56db69c0]:1024 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 357 time: 1.53e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x399e8480]:1572864 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 358 time: 2.33e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x39b68490]:3538944 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 360 time: 2.35e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56deb3d0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 90 time: 3.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc861b280]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2924 time: 1.066e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8916020]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12017 time: 8.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x39ec84a0]:6291456 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 362 time: 1.98e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x27acd440]:4096 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 363 time: 3.13e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x8030b4d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1669 time: 4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80a0f0c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1672 time: 4.36e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc866be90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6473 time: 1.35e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80a0b460]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1678 time: 1.43e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7807480]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12652 time: 2.12e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc776b540]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9831 time: 1.6e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80a0d340]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1681 time: 9.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80427a70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1714 time: 1.22e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc866c110]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2912 time: 7.66e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80427e20]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1720 time: 1.1e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc78127c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2283 time: 2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80439880]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2292 time: 1.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80437e90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2301 time: 2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc869fea0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18872 time: 4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc838b7c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8494 time: 2.66e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e89fd0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 293 time: 3.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc875a310]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2304 time: 2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc78022c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11328 time: 2.1e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x27ad2f00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8485 time: 1.99e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dbf840]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 49 time: 2.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc857ecd0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2307 time: 1.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8618c70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2322 time: 2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x7d104bd0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2325 time: 2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc77709f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17525 time: 2.74e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc77f2950]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2337 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc879fa90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2885 time: 7.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc892d580]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2894 time: 7.49e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc86c6d40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12047 time: 5.41e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8670300]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2331 time: 1.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8913fc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4967 time: 1.87e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc780c020]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2897 time: 3.92e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e4fdd0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 188 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc78108f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2906 time: 5.75e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc780e9c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2909 time: 1.051e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc88ce750]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5620 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56d77d50]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 7 time: 1.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc86070e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2936 time: 4.29e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e17190]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2939 time: 3.46e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8575420]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3588 time: 3.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8911e70]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12053 time: 4.6e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc875c5e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3591 time: 2.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc879b9e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10508 time: 2.38e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x1ac3cd00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3594 time: 4.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80427fc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1723 time: 7.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x5cde0e40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3597 time: 1.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8598ba0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9150 time: 1.15e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc857ebc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4961 time: 2.82e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56da81a0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 15 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xbf33b4d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3603 time: 2.36e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dbde40]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 46 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc866fc50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3606 time: 1.08e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e791c0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 232 time: 4.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56db1d60]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 28 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7769de0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3618 time: 6.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80400b60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3621 time: 1.62e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e07940]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3627 time: 9.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc87f5640]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 10493 time: 2.35e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc879ec00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6500 time: 5.79e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e0d5f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3633 time: 1.7e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc83d1bc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3645 time: 4.27e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56db49f0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 33 time: 2.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc86482d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3648 time: 1.9e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e15590]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4289 time: 6.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc77d9e40]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4298 time: 8.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc878f870]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4304 time: 2.3e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56de4d80]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 84 time: 3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e15f10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4985 time: 1.35e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dddb20]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 76 time: 5.5e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x803ec160]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4316 time: 1.298e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7772fd0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18222 time: 1.09e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc4f5c680]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4325 time: 8.9e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc77677b0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7788 time: 1.197e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8712f10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5623 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x39688470]:3538944 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 352 time: 2.22e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc4f5f780]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4307 time: 1.227e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc876b280]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4328 time: 1.207e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56da5d50]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 10 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8919d50]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4337 time: 8.51e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x5ccbdbf0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8449 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc85cafc0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4340 time: 1.031e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7772990]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4349 time: 2.3e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc857eda0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4934 time: 2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc86778d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4946 time: 3.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc866fd60]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4949 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e09f30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4970 time: 1.81e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e707d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4973 time: 1.46e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xb076fcf0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 17468 time: 4.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e476b0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 180 time: 4.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8666020]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4979 time: 1.72e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc856a820]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 18917 time: 3.38e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8617ca0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12020 time: 6.41e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e1d4d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2942 time: 1.327e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8927e30]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4991 time: 2.11e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8691640]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5605 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80439e10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12050 time: 1.108e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8582ce0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 11319 time: 1.15e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7801d80]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5608 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc87904f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 13361 time: 9.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8661110]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5665 time: 2.46e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e83840]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5614 time: 3.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc88f42f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5626 time: 2.44e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ea7c40]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 280 time: 4.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7816270]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3642 time: 2.32e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc4c01360]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5635 time: 1.3e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x27adbba0]:3072 :Cudnn Builder weights ptr in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 345 time: 6.15e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc86942d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5638 time: 2.16e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e68ee0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 215 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56deb4d0]:4 :: weight zero-point in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 91 time: 4.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc86468a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5641 time: 1.83e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7769470]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2289 time: 2.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc879f5d0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5644 time: 1.97e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80425680]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 8497 time: 2.12e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc78145c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 2927 time: 7.56e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8646ef0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5647 time: 2.33e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8926b90]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16201 time: 3.85e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xbd848550]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 5650 time: 1.64e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x80427820]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 1702 time: 6.8e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc77f3ce0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6461 time: 1.07e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x7d105650]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6464 time: 1.34e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8375a00]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 12014 time: 2.23e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc77f3d80]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6467 time: 6.7e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x7c6903e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6476 time: 8.21e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8924550]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 16234 time: 3.79e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc86598c0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6485 time: 6.97e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc89220e0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 14671 time: 2.1e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8926630]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6491 time: 1.454e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e43cb0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6494 time: 6.48e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8658840]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6506 time: 1.106e-06\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e27200]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 184 time: 5.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56e04780]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 116 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc8671090]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 3615 time: 1.67e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e0a3f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 6518 time: 2.7e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc879c690]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7141 time: 8.2e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc879f1a0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 9837 time: 1.89e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc6e300f0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7144 time: 1.19e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56ed7cd0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 326 time: 4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7776400]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7147 time: 1.04e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56df67a0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 102 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x7bb08d10]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7153 time: 7.6e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dc2f70]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 52 time: 3.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc4c06570]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 4310 time: 8.76e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x803f8580]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7156 time: 7.4e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc7805860]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7159 time: 7.9e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x56dfeba0]:4 :: weight scales in internalAllocate: at runtime/common/weightsPtr.cpp: 102 idx: 110 time: 3.3e-08\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0xc4eb1ea0]:151 :ScratchObject in storeCachedObject: at optimizer/gpu/cudnn/convolutionBuilder.cpp: 170 idx: 7162 time: 8.7e-07\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] -------------- The current device memory allocations dump as below --------------\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0]:8589934592 :HybridGlobWriter in reserveMemory: at optimizer/common/globWriter.cpp: 438 idx: 2909 time: 0.0112134\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] [0x302000000]:5002756096 :HybridGlobWriter in reserveMemory: at optimizer/common/globWriter.cpp: 416 idx: 1978 time: 0.00014758\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] Requested amount of GPU memory (8589934592 bytes) could not be allocated. There may not be enough free memory for allocation to succeed.\n",
|
|
"[07/22/2022-16:22:29] [W] [TRT] Skipping tactic 13 due to insufficient memory on requested size of 8589934592 detected for tactic 0x0000000000000074.\n",
|
|
"Try decreasing the workspace size with IBuilderConfig::setMemoryPoolLimit().\n",
|
|
"[07/22/2022-16:24:17] [I] [TRT] Detected 1 inputs and 4 output network tensors.\n",
|
|
"[07/22/2022-16:24:18] [I] [TRT] Total Host Persistent Memory: 241264\n",
|
|
"[07/22/2022-16:24:18] [I] [TRT] Total Device Persistent Memory: 1964032\n",
|
|
"[07/22/2022-16:24:18] [I] [TRT] Total Scratch Memory: 48960768\n",
|
|
"[07/22/2022-16:24:18] [I] [TRT] [MemUsageStats] Peak memory usage of TRT CPU/GPU memory allocators: CPU 89 MiB, GPU 6344 MiB\n",
|
|
"[07/22/2022-16:24:18] [I] [TRT] [BlockAssignment] Algorithm ShiftNTopDown took 82.1079ms to assign 9 blocks to 319 nodes requiring 139892232 bytes.\n",
|
|
"[07/22/2022-16:24:18] [I] [TRT] Total Activation Memory: 139892232\n",
|
|
"[07/22/2022-16:24:18] [I] [TRT] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +1, GPU +8, now: CPU 3434, GPU 2012 (MiB)\n",
|
|
"[07/22/2022-16:24:18] [I] [TRT] [MemUsageChange] Init cuDNN: CPU +0, GPU +10, now: CPU 3434, GPU 2022 (MiB)\n",
|
|
"[07/22/2022-16:24:18] [I] [TRT] [MemUsageChange] TensorRT-managed allocation in building engine: CPU +48, GPU +629, now: CPU 48, GPU 629 (MiB)\n",
|
|
"[07/22/2022-16:24:18] [W] [TRT] The getMaxBatchSize() function should not be used with an engine built from a network created with NetworkDefinitionCreationFlag::kEXPLICIT_BATCH flag. This function will always return 1.\n",
|
|
"[07/22/2022-16:24:18] [W] [TRT] The getMaxBatchSize() function should not be used with an engine built from a network created with NetworkDefinitionCreationFlag::kEXPLICIT_BATCH flag. This function will always return 1.\n",
|
|
"[07/22/2022-16:24:19] [I] Engine built in 170.404 sec.\n",
|
|
"[07/22/2022-16:24:19] [I] [TRT] [MemUsageChange] Init CUDA: CPU +0, GPU +0, now: CPU 3147, GPU 1264 (MiB)\n",
|
|
"[07/22/2022-16:24:19] [I] [TRT] Loaded engine size: 631 MiB\n",
|
|
"[07/22/2022-16:24:19] [I] [TRT] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +1, GPU +10, now: CPU 3176, GPU 1902 (MiB)\n",
|
|
"[07/22/2022-16:24:19] [I] [TRT] [MemUsageChange] Init cuDNN: CPU +0, GPU +8, now: CPU 3176, GPU 1910 (MiB)\n",
|
|
"[07/22/2022-16:24:19] [I] [TRT] [MemUsageChange] TensorRT-managed allocation in engine deserialization: CPU +0, GPU +628, now: CPU 0, GPU 628 (MiB)\n",
|
|
"[07/22/2022-16:24:19] [I] Engine deserialized in 0.103674 sec.\n",
|
|
"[07/22/2022-16:24:19] [I] [TRT] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +8, now: CPU 3176, GPU 1904 (MiB)\n",
|
|
"[07/22/2022-16:24:19] [I] [TRT] [MemUsageChange] Init cuDNN: CPU +0, GPU +8, now: CPU 3176, GPU 1912 (MiB)\n",
|
|
"[07/22/2022-16:24:19] [I] [TRT] [MemUsageChange] TensorRT-managed allocation in IExecutionContext creation: CPU +0, GPU +136, now: CPU 0, GPU 764 (MiB)\n",
|
|
"[07/22/2022-16:24:19] [I] Using random values for input images\n",
|
|
"[07/22/2022-16:24:19] [I] Created input binding for images with dimensions 1x3x640x640\n",
|
|
"[07/22/2022-16:24:19] [I] Using random values for output num_dets\n",
|
|
"[07/22/2022-16:24:19] [I] Created output binding for num_dets with dimensions 1x1\n",
|
|
"[07/22/2022-16:24:19] [I] Using random values for output det_boxes\n",
|
|
"[07/22/2022-16:24:19] [I] Created output binding for det_boxes with dimensions 1x100x4\n",
|
|
"[07/22/2022-16:24:19] [I] Using random values for output det_scores\n",
|
|
"[07/22/2022-16:24:19] [I] Created output binding for det_scores with dimensions 1x100\n",
|
|
"[07/22/2022-16:24:19] [I] Using random values for output det_classes\n",
|
|
"[07/22/2022-16:24:19] [I] Created output binding for det_classes with dimensions 1x100\n",
|
|
"[07/22/2022-16:24:19] [I] Starting inference\n",
|
|
"[07/22/2022-16:24:22] [I] Warmup completed 9 queries over 200 ms\n",
|
|
"[07/22/2022-16:24:22] [I] Timing trace has 129 queries over 3.06118 s\n",
|
|
"[07/22/2022-16:24:22] [I] \n",
|
|
"[07/22/2022-16:24:22] [I] === Trace details ===\n",
|
|
"[07/22/2022-16:24:22] [I] Trace averages of 10 runs:\n",
|
|
"[07/22/2022-16:24:22] [I] Average on 10 runs - GPU latency: 23.2567 ms - Host latency: 23.5211 ms (enqueue 4.69569 ms)\n",
|
|
"[07/22/2022-16:24:22] [I] Average on 10 runs - GPU latency: 23.3228 ms - Host latency: 23.6006 ms (enqueue 5.76719 ms)\n",
|
|
"[07/22/2022-16:24:22] [I] Average on 10 runs - GPU latency: 23.9354 ms - Host latency: 24.1959 ms (enqueue 4.94689 ms)\n",
|
|
"[07/22/2022-16:24:22] [I] Average on 10 runs - GPU latency: 23.6166 ms - Host latency: 23.8874 ms (enqueue 5.7591 ms)\n",
|
|
"[07/22/2022-16:24:22] [I] Average on 10 runs - GPU latency: 23.3336 ms - Host latency: 23.5929 ms (enqueue 5.16302 ms)\n",
|
|
"[07/22/2022-16:24:22] [I] Average on 10 runs - GPU latency: 23.4093 ms - Host latency: 23.6867 ms (enqueue 5.68168 ms)\n",
|
|
"[07/22/2022-16:24:22] [I] Average on 10 runs - GPU latency: 23.6996 ms - Host latency: 23.9729 ms (enqueue 5.29149 ms)\n",
|
|
"[07/22/2022-16:24:22] [I] Average on 10 runs - GPU latency: 23.7949 ms - Host latency: 24.0542 ms (enqueue 4.59744 ms)\n",
|
|
"[07/22/2022-16:24:22] [I] Average on 10 runs - GPU latency: 23.3707 ms - Host latency: 23.6383 ms (enqueue 5.56155 ms)\n",
|
|
"[07/22/2022-16:24:22] [I] Average on 10 runs - GPU latency: 23.4165 ms - Host latency: 23.686 ms (enqueue 4.44233 ms)\n",
|
|
"[07/22/2022-16:24:22] [I] Average on 10 runs - GPU latency: 23.6525 ms - Host latency: 23.9191 ms (enqueue 5.55225 ms)\n",
|
|
"[07/22/2022-16:24:22] [I] Average on 10 runs - GPU latency: 23.8072 ms - Host latency: 24.0669 ms (enqueue 4.93503 ms)\n",
|
|
"[07/22/2022-16:24:22] [I] \n",
|
|
"[07/22/2022-16:24:22] [I] === Performance summary ===\n",
|
|
"[07/22/2022-16:24:22] [I] Throughput: 42.1406 qps\n",
|
|
"[07/22/2022-16:24:22] [I] Latency: min = 23.2021 ms, max = 26.2684 ms, mean = 23.8155 ms, median = 23.7214 ms, percentile(99%) = 25.3925 ms\n",
|
|
"[07/22/2022-16:24:22] [I] Enqueue Time: min = 1.36279 ms, max = 6.08386 ms, mean = 5.22827 ms, median = 5.64331 ms, percentile(99%) = 5.99023 ms\n",
|
|
"[07/22/2022-16:24:22] [I] H2D Latency: min = 0.20105 ms, max = 0.330383 ms, mean = 0.257269 ms, median = 0.259216 ms, percentile(99%) = 0.32959 ms\n",
|
|
"[07/22/2022-16:24:22] [I] GPU Compute Time: min = 22.8629 ms, max = 25.9891 ms, mean = 23.5482 ms, median = 23.4527 ms, percentile(99%) = 25.1238 ms\n",
|
|
"[07/22/2022-16:24:22] [I] D2H Latency: min = 0.00756836 ms, max = 0.0153809 ms, mean = 0.0100797 ms, median = 0.0100098 ms, percentile(99%) = 0.0141602 ms\n",
|
|
"[07/22/2022-16:24:22] [I] Total Host Walltime: 3.06118 s\n",
|
|
"[07/22/2022-16:24:22] [I] Total GPU Compute Time: 3.03771 s\n",
|
|
"[07/22/2022-16:24:22] [W] * GPU compute time is unstable, with coefficient of variance = 1.72281%.\n",
|
|
"[07/22/2022-16:24:22] [W] If not already in use, locking GPU clock frequency or adding --useSpinWait may improve the stability.\n",
|
|
"[07/22/2022-16:24:22] [I] Explanations of the performance metrics are printed in the verbose logs.\n",
|
|
"[07/22/2022-16:24:22] [I] \n",
|
|
"&&&& PASSED TensorRT.trtexec [TensorRT v8401] # /usr/src/tensorrt/bin/trtexec --onnx=weights/yolov7-d6.onnx --saveEngine=weights/yolov7-d6.engine\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# convert onnx to tensorrt engine\n",
|
|
"!/usr/src/tensorrt/bin/trtexec --onnx=weights/yolov7-d6.onnx --saveEngine=weights/yolov7-d6.engine"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 3,
|
|
"id": "4bb36691",
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"jupyter": {
|
|
"outputs_hidden": false
|
|
},
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import cv2\n",
|
|
"import requests\n",
|
|
"import torch\n",
|
|
"import random\n",
|
|
"import time\n",
|
|
"import numpy as np\n",
|
|
"import tensorrt as trt\n",
|
|
"from PIL import Image\n",
|
|
"from pathlib import Path\n",
|
|
"from collections import OrderedDict,namedtuple"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 4,
|
|
"id": "1ac7ca3d",
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"jupyter": {
|
|
"outputs_hidden": false
|
|
},
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"w = 'weights/yolov7-d6.engine'\n",
|
|
"device = torch.device('cuda:0')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "7ffebd5a",
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"jupyter": {
|
|
"outputs_hidden": false
|
|
},
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# # Create TensorRT Engine\n",
|
|
"# onnx_file = 'yolov5s.onnx'\n",
|
|
"# engine_file = 'yolov5s.engine'\n",
|
|
"# verbose = False\n",
|
|
"# workspace = 8\n",
|
|
"\n",
|
|
"# logger = trt.Logger(trt.Logger.INFO)\n",
|
|
"# if verbose:\n",
|
|
"# logger.min_severity = trt.Logger.Severity.VERBOSE\n",
|
|
"\n",
|
|
"# builder = trt.Builder(logger)\n",
|
|
"# config = builder.create_builder_config()\n",
|
|
"# config.max_workspace_size = workspace * 1 << 30\n",
|
|
"\n",
|
|
"# flag = (1 << int(trt.NetworkDefinitionCreationFlag.EXPLICIT_BATCH))\n",
|
|
"# network = builder.create_network(flag)\n",
|
|
"# parser = trt.OnnxParser(network, logger)\n",
|
|
"# parser.parse_from_file(onnx_file)\n",
|
|
"\n",
|
|
"# with builder.build_serialized_network(network, config) as engine, open(engine_file,'wb') as t:\n",
|
|
"# t.write(engine)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 5,
|
|
"id": "318bbc6e",
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"jupyter": {
|
|
"outputs_hidden": false
|
|
},
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"[07/22/2022-16:24:57] [TRT] [I] [MemUsageChange] Init CUDA: CPU +328, GPU +0, now: CPU 402, GPU 300 (MiB)\n",
|
|
"[07/22/2022-16:24:57] [TRT] [I] Loaded engine size: 631 MiB\n",
|
|
"[07/22/2022-16:24:58] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +872, GPU +378, now: CPU 1953, GPU 1310 (MiB)\n",
|
|
"[07/22/2022-16:24:58] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +125, GPU +60, now: CPU 2078, GPU 1370 (MiB)\n",
|
|
"[07/22/2022-16:24:58] [TRT] [W] TensorRT was linked against cuDNN 8.4.1 but loaded cuDNN 8.3.2\n",
|
|
"[07/22/2022-16:24:58] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in engine deserialization: CPU +0, GPU +628, now: CPU 0, GPU 628 (MiB)\n",
|
|
"[07/22/2022-16:24:59] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +8, now: CPU 2454, GPU 1822 (MiB)\n",
|
|
"[07/22/2022-16:24:59] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +0, GPU +8, now: CPU 2454, GPU 1830 (MiB)\n",
|
|
"[07/22/2022-16:24:59] [TRT] [W] TensorRT was linked against cuDNN 8.4.1 but loaded cuDNN 8.3.2\n",
|
|
"[07/22/2022-16:24:59] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in IExecutionContext creation: CPU +0, GPU +136, now: CPU 0, GPU 764 (MiB)\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Infer TensorRT Engine\n",
|
|
"Binding = namedtuple('Binding', ('name', 'dtype', 'shape', 'data', 'ptr'))\n",
|
|
"logger = trt.Logger(trt.Logger.INFO)\n",
|
|
"trt.init_libnvinfer_plugins(logger, namespace=\"\")\n",
|
|
"with open(w, 'rb') as f, trt.Runtime(logger) as runtime:\n",
|
|
" model = runtime.deserialize_cuda_engine(f.read())\n",
|
|
"bindings = OrderedDict()\n",
|
|
"for index in range(model.num_bindings):\n",
|
|
" name = model.get_binding_name(index)\n",
|
|
" dtype = trt.nptype(model.get_binding_dtype(index))\n",
|
|
" shape = tuple(model.get_binding_shape(index))\n",
|
|
" data = torch.from_numpy(np.empty(shape, dtype=np.dtype(dtype))).to(device)\n",
|
|
" bindings[name] = Binding(name, dtype, shape, data, int(data.data_ptr()))\n",
|
|
"binding_addrs = OrderedDict((n, d.ptr) for n, d in bindings.items())\n",
|
|
"context = model.create_execution_context()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 6,
|
|
"id": "262e5abf-8977-4349-8f4d-3763be6a95dd",
|
|
"metadata": {
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"def letterbox(im, new_shape=(640, 640), color=(114, 114, 114), auto=True, scaleup=True, stride=32):\n",
|
|
" # Resize and pad image while meeting stride-multiple constraints\n",
|
|
" shape = im.shape[:2] # current shape [height, width]\n",
|
|
" if isinstance(new_shape, int):\n",
|
|
" new_shape = (new_shape, new_shape)\n",
|
|
"\n",
|
|
" # Scale ratio (new / old)\n",
|
|
" r = min(new_shape[0] / shape[0], new_shape[1] / shape[1])\n",
|
|
" if not scaleup: # only scale down, do not scale up (for better val mAP)\n",
|
|
" r = min(r, 1.0)\n",
|
|
"\n",
|
|
" # Compute padding\n",
|
|
" new_unpad = int(round(shape[1] * r)), int(round(shape[0] * r))\n",
|
|
" dw, dh = new_shape[1] - new_unpad[0], new_shape[0] - new_unpad[1] # wh padding\n",
|
|
"\n",
|
|
" if auto: # minimum rectangle\n",
|
|
" dw, dh = np.mod(dw, stride), np.mod(dh, stride) # wh padding\n",
|
|
"\n",
|
|
" dw /= 2 # divide padding into 2 sides\n",
|
|
" dh /= 2\n",
|
|
"\n",
|
|
" if shape[::-1] != new_unpad: # resize\n",
|
|
" im = cv2.resize(im, new_unpad, interpolation=cv2.INTER_LINEAR)\n",
|
|
" top, bottom = int(round(dh - 0.1)), int(round(dh + 0.1))\n",
|
|
" left, right = int(round(dw - 0.1)), int(round(dw + 0.1))\n",
|
|
" im = cv2.copyMakeBorder(im, top, bottom, left, right, cv2.BORDER_CONSTANT, value=color) # add border\n",
|
|
" return im, r, (dw, dh)\n",
|
|
"\n",
|
|
"def postprocess(boxes,r,dwdh):\n",
|
|
" dwdh = torch.tensor(dwdh*2).to(boxes.device)\n",
|
|
" boxes -= dwdh\n",
|
|
" boxes /= r\n",
|
|
" return boxes"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 7,
|
|
"id": "033b0c09",
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"jupyter": {
|
|
"outputs_hidden": false
|
|
},
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"names = ['person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light', \n",
|
|
" 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', \n",
|
|
" 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', \n",
|
|
" 'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', \n",
|
|
" 'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', \n",
|
|
" 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', \n",
|
|
" 'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', \n",
|
|
" 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', \n",
|
|
" 'hair drier', 'toothbrush']\n",
|
|
"colors = {name:[random.randint(0, 255) for _ in range(3)] for i,name in enumerate(names)}"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 8,
|
|
"id": "a2165b86-dc50-4066-a269-9dae3aa3f30e",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"(1, 3, 640, 640)"
|
|
]
|
|
},
|
|
"execution_count": 8,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"url = 'https://oneflow-static.oss-cn-beijing.aliyuncs.com/tripleMu/image1.jpg'\n",
|
|
"file = requests.get(url)\n",
|
|
"img = cv2.imdecode(np.frombuffer(file.content, np.uint8), 1)\n",
|
|
"img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n",
|
|
"\n",
|
|
"image = img.copy()\n",
|
|
"image, ratio, dwdh = letterbox(image, auto=False)\n",
|
|
"image = image.transpose((2, 0, 1))\n",
|
|
"image = np.expand_dims(image, 0)\n",
|
|
"image = np.ascontiguousarray(image)\n",
|
|
"\n",
|
|
"im = image.astype(np.float32)\n",
|
|
"im.shape"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 9,
|
|
"id": "c4eb552b-9163-4813-a793-c4ff90f9df22",
|
|
"metadata": {
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"torch.Size([1, 3, 640, 640])"
|
|
]
|
|
},
|
|
"execution_count": 9,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"im = torch.from_numpy(im).to(device)\n",
|
|
"im/=255\n",
|
|
"im.shape"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 10,
|
|
"id": "0694f319",
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"jupyter": {
|
|
"outputs_hidden": false
|
|
},
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# warmup for 10 times\n",
|
|
"for _ in range(10):\n",
|
|
" tmp = torch.randn(1,3,640,640).to(device)\n",
|
|
" binding_addrs['images'] = int(tmp.data_ptr())\n",
|
|
" context.execute_v2(list(binding_addrs.values()))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 11,
|
|
"id": "d46bc215",
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"jupyter": {
|
|
"outputs_hidden": false
|
|
},
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Cost 0.023061261999828275 s\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"start = time.perf_counter()\n",
|
|
"binding_addrs['images'] = int(im.data_ptr())\n",
|
|
"context.execute_v2(list(binding_addrs.values()))\n",
|
|
"print(f'Cost {time.perf_counter()-start} s')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 12,
|
|
"id": "00a09c3b",
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"jupyter": {
|
|
"outputs_hidden": false
|
|
},
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"(torch.Size([1, 1]),\n",
|
|
" torch.Size([1, 100, 4]),\n",
|
|
" torch.Size([1, 100]),\n",
|
|
" torch.Size([1, 100]))"
|
|
]
|
|
},
|
|
"execution_count": 12,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"nums = bindings['num_dets'].data\n",
|
|
"boxes = bindings['det_boxes'].data\n",
|
|
"scores = bindings['det_scores'].data\n",
|
|
"classes = bindings['det_classes'].data\n",
|
|
"nums.shape,boxes.shape,scores.shape,classes.shape"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 13,
|
|
"id": "b562c976-b347-4ec7-b74b-176a9276bde9",
|
|
"metadata": {
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"tensor([[4]], device='cuda:0', dtype=torch.int32)"
|
|
]
|
|
},
|
|
"execution_count": 13,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"nums"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 14,
|
|
"id": "fa90f60b-c1c3-458b-a1e2-698267c4f039",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"boxes = boxes[0,:nums[0][0]]\n",
|
|
"scores = scores[0,:nums[0][0]]\n",
|
|
"classes = classes[0,:nums[0][0]]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 15,
|
|
"id": "2a948e8b-dfaa-40fa-b6c3-4d4adeff3f3c",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"for box,score,cl in zip(boxes,scores,classes):\n",
|
|
" box = postprocess(box,ratio,dwdh).round().int()\n",
|
|
" name = names[cl]\n",
|
|
" color = colors[name]\n",
|
|
" name += ' ' + str(round(float(score),3))\n",
|
|
" cv2.rectangle(img,box[:2].tolist(),box[2:].tolist(),color,2)\n",
|
|
" cv2.putText(img,name,(int(box[0]), int(box[1]) - 2),cv2.FONT_HERSHEY_SIMPLEX,0.75,color,thickness=2)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 16,
|
|
"id": "ba749921-cf76-4415-b1a4-a8ddfe35e73d",
|
|
"metadata": {
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": "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\n",
|
|
"text/plain": [
|
|
"<PIL.Image.Image image mode=RGB size=640x536>"
|
|
]
|
|
},
|
|
"execution_count": 16,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"Image.fromarray(img)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "7dc9f8bd-a046-4ea1-9ef4-ee8ecf7ad111",
|
|
"metadata": {
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python [conda env:torch] *",
|
|
"language": "python",
|
|
"name": "conda-env-torch-py"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.8.13"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|