Jon WingenderandClaude Sonnet 5
3b0354735c
requirements-amd.txt/requirements-nvidia.txt were pulling a multi-GB torch wheel by default even though nothing in synapse/ imports torch, transformers, accelerate, bitsandbytes, or PySide6 - dead weight that made the pip batch fragile (one failed download could take unrelated base deps down with it on a slow connection). Split the unused ML/GUI stack out of requirements-base.txt into a new opt-in requirements-ml.txt, and dropped the torch lines from the AMD/NVIDIA overlays and generator. Also: recreate the venv if it exists but pip is missing, instead of silently reusing a half-built one (ensurepip can fail during venv creation and leave an interpreter with no pip). Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
10 lines
377 B
Plaintext
10 lines
377 B
Plaintext
# --- Force NVIDIA/CUDA Priority ---
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--index-url https://download.pytorch.org/whl/cu128
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--extra-index-url https://pypi.org/simple
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-r requirements-base.txt
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# Torch itself is opt-in — see requirements-ml.txt. The --index-url above is
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# what makes `pip install -r requirements-nvidia.txt -r requirements-ml.txt`
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# resolve torch as the matching CUDA build instead of CPU-only.
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