NVIDIA CONTAINER -

[diegola123]

Hello,

thanks a lot for your paper, I learned a lot since I started to read it. I am trying to replicate your experiment running the dockerfile you provided, but I am facing some issues.

When I built the container, I got a message informing the GPU was not compatible, as you can see following:

_NVIDIA Release 22.07 (build 40077977) NVIDIA TensorRT Version 8.4.1 Copyright (c) 2016-2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.

Container image Copyright (c) 2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.

https://developer.nvidia.com/tensorrt

Various files include modifications (c) NVIDIA CORPORATION & AFFILIATES. All rights reserved.

This container image and its contents are governed by the NVIDIA Deep Learning Container License. By pulling and using the container, you accept the terms and conditions of this license: https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license

To install Python sample dependencies, run /opt/tensorrt/python/python_setup.sh

To install the open-source samples corresponding to this TensorRT release version run /opt/tensorrt/install_opensource.sh. To build the open source parsers, plugins, and samples for current top-of-tree on master or a different branch, run /opt/tensorrt/install_opensource.sh -b See https://github.com/NVIDIA/TensorRT for more information. WARNING: Detected NVIDIA NVIDIA GeForce RTX 4090 GPU, which is not yet supported in this version of the container ERROR: No supported GPU(s) detected to run this container_

Sorry for asking, but I am still a "noobie" in containers, docker, and deep learning models, do you have any intention to migrate your container to a newer version of the cuda? Maybe 12.0? Could you provide me with some instructions on how to fix the issue?

Best Regards Diego