When I convert the onnx model using trtexec within the tar file with this command
./trtexec --explicitBatch --onnx=duke_onnx.onnx --minShapes=input:1x3x288x144 --optShapes=input:5x3x288x144 --maxShapes=input:30x3x288x144 --saveEngine=duke_more_space_output_16_2.engine
It gives me the mentioned error " [TRT] Some tactics do not have sufficient workspace memory to run. Increasing workspace size may increase performance, please check verbose output." and reduced the accuracy of the model , So I think the accuracy of the model is directly related to that error, how could I give the workspace more size with that conversion method ?
** I’ll set some sinppet from the terminal
• Hardware Platform (GPU)
• DeepStream Version: 5.0
• TensorRT Version: 184.108.40.206