35 lines
No EOL
1.1 KiB
Docker
35 lines
No EOL
1.1 KiB
Docker
FROM nvidia/cuda:12.4.1-devel-ubuntu22.04 AS builder
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WORKDIR /build
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RUN apt-get update && apt-get install -y python3.10 python3-pip python3-dev cmake git
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COPY requirements/inference.txt .
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RUN pip install --no-cache-dir --upgrade pip setuptools wheel
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RUN pip install --no-cache-dir torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu124
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ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64/stubs:$LD_LIBRARY_PATH
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ENV CMAKE_ARGS="-DGGML_CUDA=on -DLLAVA_BUILD=off"
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ENV FORCE_CMAKE=1
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RUN pip install --no-cache-dir llama-cpp-python
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RUN pip install --no-cache-dir -r inference.txt
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FROM nvidia/cuda:12.4.1-runtime-ubuntu22.04
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WORKDIR /app
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RUN apt-get update && apt-get install -y python3.10 python3-pip && \
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rm -rf /var/lib/apt/lists/* && \
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ln -sf /usr/bin/python3 /usr/bin/python
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COPY --from=builder /usr/local/lib/python3.10/dist-packages /usr/local/lib/python3.10/dist-packages
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COPY --from=builder /usr/local/bin /usr/local/bin
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COPY gpu_server.py .
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ENV PYTHONUNBUFFERED=1
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ENV PYTHONPATH=/app
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EXPOSE 8001
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CMD ["python", "-m", "uvicorn", "gpu_server:app", "--host", "0.0.0.0", "--port", "8001"] |