fix(build): install CPU-only torch in ml image (drops ~5.6GB CUDA layer)
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@@ -23,6 +23,11 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
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WORKDIR /app
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COPY requirements-ml.txt requirements.txt ./
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# CPU-only torch: the default PyPI wheel bundles the CUDA runtime (~5.6GB
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# layer); this pipeline never uses a GPU. --index-url (not --extra-index-url)
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# guarantees only +cpu wheels are considered, so no nvidia-*-cu12 deps.
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RUN pip install --index-url https://download.pytorch.org/whl/cpu \
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"torch>=2.12,<3.0" "torchvision>=0.27,<0.28"
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RUN pip install -r requirements-ml.txt
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COPY backend/ ./backend/
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