Enable GPU support in Docker container#13
Enable GPU support in Docker container#13google-labs-jules[bot] wants to merge 1 commit intomainfrom
Conversation
- Modified `Dockerfile` to patch `backend/requirements.txt` during build. - Replaced `torch==1.12.0+cpu` with `torch==1.12.0+cu113` to install CUDA-enabled PyTorch. - This ensures GPU availability in the container environment while keeping the local `requirements.txt` optimized for CPU/Dev environments.
|
👋 Jules, reporting for duty! I'm here to lend a hand with this pull request. When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down. I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job! For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with New to Jules? Learn more at jules.google/docs. For security, I will only act on instructions from the user who triggered this task. |
The application failed to use the GPU in the Docker container because
backend/requirements.txtexplicitly requested the CPU-only version of PyTorch (torch==1.12.0+cpu). This change modifies the Dockerfile to replace this requirement with the CUDA-enabled version (torch==1.12.0+cu113) during the build process, enabling GPU utilization when the container is run with NVIDIA runtime.PR created automatically by Jules for task 12748489813196363493 started by @averkij