| # Pins the torch already in the base image — the recommended CUDA 12.8 build (see | |
| # the Dockerfile for why it is the default). Nothing is downloaded: pip treats the | |
| # preinstalled build as satisfying this. Its only job is to turn "a dependency of | |
| # mine wants a different torch" into an immediate, readable pip error naming that | |
| # dependency, rather than a silent swap to the CUDA 13.0 wheel that cannot run on | |
| # the L40S. Changing torch is allowed — if you do, edit this pin knowingly, and the | |
| # Dockerfile's guard will tell you whether the result still suits the GPU you target. | |
| torch==2.11.0 | |
| orena-focus>=0.3.4 | |
| # Direct imports of inference.py. They also arrive as transitive dependencies | |
| # of orena-focus, but anything imported directly is declared explicitly. | |
| decord>=0.6.0 | |
| numpy>=1.26.0 | |
| Pillow>=11.0.0 | |
| # Qwen3.5 support (including Qwen3_5ForConditionalGeneration and the | |
| # timestamp-aware Qwen3VLProcessor) landed after the 4.x line. The merged | |
| # checkpoint was produced and verified with this exact version. | |
| transformers==5.15.0 | |
| accelerate>=1.10.1 | |