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docker: install xformers with sepcific cuda version, matching the docker image. (#4670)
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@ -12,7 +12,7 @@ RUN --mount=type=cache,target=/root/.cache/pip,rw \
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python3 -m venv /build/venv && \
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python3 -m venv /build/venv && \
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. /build/venv/bin/activate && \
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. /build/venv/bin/activate && \
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pip3 install --upgrade pip setuptools wheel ninja && \
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pip3 install --upgrade pip setuptools wheel ninja && \
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pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121 && \
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pip3 install torch torchvision torchaudio xformers --index-url https://download.pytorch.org/whl/cu121 && \
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pip3 install -r requirements.txt
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pip3 install -r requirements.txt
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# https://developer.nvidia.com/cuda-gpus
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# https://developer.nvidia.com/cuda-gpus
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@ -44,8 +44,8 @@ RUN virtualenv /app/venv
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RUN --mount=type=cache,target=/root/.cache/pip,rw \
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RUN --mount=type=cache,target=/root/.cache/pip,rw \
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. /app/venv/bin/activate && \
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. /app/venv/bin/activate && \
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pip3 install --upgrade pip setuptools wheel ninja && \
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pip3 install --upgrade pip setuptools wheel ninja && \
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pip3 install torch --index-url https://download.pytorch.org/whl/cu121 && \
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pip3 install torch xformers --index-url https://download.pytorch.org/whl/cu121 && \
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pip3 install torchvision torchaudio sentence_transformers xformers
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pip3 install torchvision torchaudio sentence_transformers
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# Copy and install GPTQ-for-LLaMa
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# Copy and install GPTQ-for-LLaMa
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COPY --from=builder /build /app/repositories/GPTQ-for-LLaMa
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COPY --from=builder /build /app/repositories/GPTQ-for-LLaMa
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