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Fix for using Torch with CUDA 11.8 (#4298)
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@ -11,8 +11,8 @@ WORKDIR /build
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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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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 && \
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pip3 install --upgrade pip setuptools wheel ninja && \
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pip3 install torch torchvision torchaudio && \
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pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 && \
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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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@ -31,6 +31,7 @@ RUN --mount=type=cache,target=/var/cache/apt,sharing=locked,rw apt-get update &&
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rm -rf /var/lib/apt/lists/*
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rm -rf /var/lib/apt/lists/*
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RUN --mount=type=cache,target=/root/.cache/pip,rw pip3 install virtualenv
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RUN --mount=type=cache,target=/root/.cache/pip,rw pip3 install virtualenv
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RUN mkdir /app
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RUN mkdir /app
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WORKDIR /app
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WORKDIR /app
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@ -42,8 +43,9 @@ RUN test -n "${WEBUI_VERSION}" && git reset --hard ${WEBUI_VERSION} || echo "Usi
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RUN virtualenv /app/venv
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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 && \
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pip3 install --upgrade pip setuptools wheel ninja && \
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pip3 install torch torchvision torchaudio sentence_transformers xformers
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pip3 install torch --index-url https://download.pytorch.org/whl/cu118 && \
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pip3 install torchvision torchaudio sentence_transformers xformers
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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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