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# Description Optimize the docker image for cpu-only environment. (PyTorch in cpu mode, cuda not installed etc) This should reduce the backend docker image size by ~2 Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): |
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| .. | ||
| .vscode | ||
| llm | ||
| middlewares | ||
| models | ||
| modules | ||
| packages | ||
| repository | ||
| routes | ||
| supabase/functions/add-new-email | ||
| tests | ||
| vectorstore | ||
| .dockerignore | ||
| celery_config.py | ||
| celery_worker.py | ||
| conftest.py | ||
| Dockerfile | ||
| Dockerfile.dev | ||
| logger.py | ||
| main.py | ||
| manage_services.sh | ||
| pyrightconfig.json | ||
| requirements.txt | ||