trtexec--onnx=/path/to/model.onnx \--maxShapes="input_1:0":16x3x544x960 \--minShapes="input_1:0":1x3x544x960 \--optShapes="input_1:0":8x3x544x960 \--fp16 \--saveEngine=/path/to/save/trt/model.engine The 544x960 can be modified to the actual heightxwidith of your ...
Description Trying to convert a mmaction2 exported tin-tsm onnx model to trt engine failed with the following error: trtexec: /root/gpgpu/MachineLearning/myelin/src/compiler/./ir/operand.h:166: myelin::ir::tensor_t*& myelin::ir::operand_...
Description When I try to generate an engine file from onnx the process stops with the message killed. This happens when CPU memory overflow occurs. The error only occurs if I use --fp16 and on Ampere. The last lines o…
ONNX Version in docker container: 1.9.0 ONNX Runtime Version in docker container: 1.8.1 The error : &&&& RUNNING TensorRT.trtexec [TensorRT v8402] # tensorrt/bin/trtexec --onnx=/models/converted.onnx --saveEngine=engine.trt --useCudaGraph [08/02/2023-19:24:24] [I] === Model Opt...
trtexec --onnx=mnist.onnx --explicitBatch --saveEngine=mnist.trt --workspace=1024 --best 将ONNX模型转换为动态batchsize的TensorRT模型,启动所有精度以达到最佳性能,工作区大小设置为1024M trtexec --onnx=mnist.onnx --minShapes=input:<shape_of_min_batch> --optShapes=input:<shape_of_opt_batch>...
--onnx=<file> ONNX model --model=<file> Caffe model (default = no model, random weights used) --deploy=<file> Caffe prototxt file --output=<name>[,<name>]* Output names (it can be specified multiple times); at least one output is required for UFF and Caffe ...
I have engine files for 2 different models: Model-A.trt, and Model-B.trt, which are generated by Model-A.onnx and Model-B.onnx Engine-A can load by TensorRT python API. Engine-B can not load by TensorRT python API, which return None. but trtexec can load Engine-B successfully. ...
trtexec--onnx=/path/to/model.onnx \--maxShapes="input_1:0":16x3x544x960 \--minShapes="input_1:0":1x3x544x960 \--optShapes="input_1:0":8x3x544x960 \--fp16 \--saveEngine=/path/to/save/trt/model.engine The 544x960 can be modified to the actual heightxwidith of your ...
trtexec --onnx=/tao/limbus_data/model.onnx --saveEngine=/tao/limbus_data/model_engine.trt --minShapes=x:1x3x160x256 --optShapes=x:1x1x160x256 --maxShapes=x:1x3x160x256 --workspace=2048 or those commands without Shape end up similarly as below: ...