Outdated Dependencies and Docker Build Issues

[misallam]

Overview of the Issue:
I have encountered several critical problems with the provided codebase, which presents multiple compatibility and deployment challenges. The current state of the code significantly hampers its usability and effectiveness across different environments and platforms.

Below are the main concerns:

1. Compatibility Issues with Outdated Technologies
   The project relies on outdated versions of CUDA (v10) and PyTorch (v1), alongside several deprecated libraries. This results in persistent failures across all modern code editors and platforms. As the code is not compatible with current versions of these technologies, running or updating the project becomes increasingly difficult.

2. Problems with the Docker Deployment
   The Docker setup appears to have significant issues. The Dockerfile does not build successfully, and the resulting container often remains in an unstable state. This suggests potential misconfigurations within the Dockerfile or dependencies that are either missing or improperly defined.

Request for Improvements
It would be beneficial to update the codebase to support newer versions of CUDA and PyTorch to enhance compatibility across various platforms. Additionally, a revision of the Docker configuration would help ensure a more reliable and efficient deployment process.

[Darius-H]

You are really rude, i ran this code on linux with pytorch2 successfully.