feat: add docker support #23
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This PR introduces support for Docker with GPU capabilities to enhance the project's deployment and compatibility features. By not fixing the Pytorch version, we significantly boost the compatibility with various setups, which is crucial as we adapt to diverse user requirements. Additionally, the implementation of Docker images facilitates more efficient distribution of updates and new versions.
The use of a standardized container environment minimizes discrepancies caused by different system environments. This standardization is especially beneficial for consistency in software performance across various platforms. Furthermore, supporting Docker images improves the project’s operability on cloud services, enabling smoother integration and scaling on these platforms. This update is a substantial step forward in making our project more versatile and user-friendly in distributed computing environments.