TensorRT on Windows 10 with CUDA 11.5 and cuDNN 8.3

Description

Hi everyone, I’m trying to install TensorRT on my Windows machine, in the Installation Guide it says:

Ensure that you have the following dependencies installed.
- CUDA 10.2, 11.0 update 1, 11.1 update 1, 11.2 update 2, 11.3 update 1, 11.4 update 3 or 11.5
- cuDNN 8.2.1

Given that I have cuDNN 8.3 installed, do I have to downgrade it to cuDNN 8.2.1 or will it work anyways? Moreover, supposing that I will serialize an optimized torch script module through TensorRT, will I be able to use it for inference even on a machine with a different version of CUDA (e.g. 10.2) ?

Environment

TensorRT Version: 8.2.1.8
GPU Type: NVIDIA GeForce RTX 3080
Nvidia Driver Version: 496.13
CUDA Version: 11.5
CUDNN Version: 8.3.0
Operating System + Version: Windows 10
Python Version (if applicable): 3.10
TensorFlow Version (if applicable):
PyTorch Version (if applicable):
Baremetal or Container (if container which image + tag):

Relevant Files

None

Hi,
Please refer to the installation steps from the below link if in case you are missing on anything
https://docs.nvidia.com/deeplearning/tensorrt/install-guide/index.html
Also, we suggest you to use TRT NGC containers to avoid any system dependency related issues.
https://ngc.nvidia.com/catalog/containers/nvidia:tensorrt

Thanks!