TensorRT

Description

I created a simple model with single convolution layer with an activation layer(RELU) and made a TRT engine as given in the TensorRT/samples/python/network_api_pytorch_mnist . The model is performing well, while I use the model. predict method in Tensorflow, But after converting the model Into TRT engine, The performance is poor.

I will attach mine and the Nvidia GIT repository, Can anyone please take a lot and help me out.

Environment

TensorRT Version : 8.0
GPU Type : GTX 1050 TI
Nvidia Driver Version : 470.57.02
CUDA Version : 11.4
CUDNN Version : 8.2
Operating System + Version : Ubuntu 20.04
Python Version (if applicable) : 3.8
TensorFlow Version (if applicable) : 2.5
PyTorch Version (if applicable) :
Baremetal or Container (if container which image + tag) :

Relevant Files

Steps To Reproduce

Please include:

  • Exact steps/commands to build your repro
  • Exact steps/commands to run your repro
  • Full traceback of errors encountered

Hi,
Please check the below link, as they might answer your concerns
https://docs.nvidia.com/deeplearning/tensorrt/api/index.html
Thanks!