Billy D.
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100 lines
3.9 KiB
Docker
100 lines
3.9 KiB
Docker
# syntax=docker/dockerfile:1.7
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# Intel GPU Ray Worker for danilo (Intel Arc / i915 iGPU)
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# Used for: BGE Reranker
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#
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# Build:
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# docker build -t git.daviestechlabs.io/daviestechlabs/ray-worker-intel:latest \
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# -f dockerfiles/Dockerfile.ray-worker-intel .
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FROM docker.io/rayproject/ray:2.53.0-py311
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# OCI Image Spec labels
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LABEL org.opencontainers.image.title="Ray Worker - Intel GPU"
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LABEL org.opencontainers.image.description="Ray Serve worker for Intel GPUs (BGE Reranker)"
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LABEL org.opencontainers.image.vendor="DaviesTechLabs"
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LABEL org.opencontainers.image.source="https://git.daviestechlabs.io/daviestechlabs/kuberay-images"
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LABEL org.opencontainers.image.licenses="MIT"
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LABEL gpu.target="intel-xpu"
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LABEL ray.version="2.53.0"
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WORKDIR /app
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# Install system dependencies and Intel GPU runtime
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USER root
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RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
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--mount=type=cache,target=/var/lib/apt,sharing=locked \
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apt-get update && apt-get install -y --no-install-recommends \
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curl \
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wget \
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gnupg2 \
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&& rm -rf /var/lib/apt/lists/*
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# Add Intel oneAPI and GPU compute repositories
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RUN wget -qO - https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB \
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| gpg --dearmor -o /usr/share/keyrings/intel-oneapi-archive-keyring.gpg \
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&& echo "deb [signed-by=/usr/share/keyrings/intel-oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main" \
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> /etc/apt/sources.list.d/intel-oneapi.list \
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&& wget -qO - https://repositories.intel.com/gpu/intel-graphics.key \
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| gpg --dearmor -o /usr/share/keyrings/intel-graphics-archive-keyring.gpg \
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&& echo "deb [signed-by=/usr/share/keyrings/intel-graphics-archive-keyring.gpg arch=amd64] https://repositories.intel.com/gpu/ubuntu jammy client" \
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> /etc/apt/sources.list.d/intel-gpu.list
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# Install Intel runtime libraries
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RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
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--mount=type=cache,target=/var/lib/apt,sharing=locked \
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apt-get update && apt-get install -y --no-install-recommends \
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intel-oneapi-runtime-opencl \
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intel-oneapi-runtime-compilers \
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intel-level-zero-gpu \
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level-zero \
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&& rm -rf /var/lib/apt/lists/*
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# Install uv for fast Python package management (ADR-0014)
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COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv
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USER ray
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# Ensure Ray CLI is in PATH
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ENV PATH="/home/ray/.local/bin:${PATH}"
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# Install Intel Extension for PyTorch (IPEX) with XPU support (uv is 10-100x faster)
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# Use unsafe-best-match to get torch from PyPI and IPEX from Intel index
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RUN --mount=type=cache,target=/home/ray/.cache/uv,uid=1000,gid=1000 \
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uv pip install --system \
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--index-strategy unsafe-best-match \
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torch==2.5.1 \
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intel-extension-for-pytorch==2.5.10+xpu \
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--extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
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# Install inference dependencies
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RUN --mount=type=cache,target=/home/ray/.cache/uv,uid=1000,gid=1000 \
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uv pip install --system \
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'sentence-transformers>=2.3.0,<3.0' \
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'FlagEmbedding>=1.2.0,<2.0' \
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'transformers>=4.35.0,<5.0' \
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'huggingface_hub>=0.20.0,<1.0' \
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'fastapi>=0.100.0,<1.0' \
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'uvicorn>=0.23.0,<1.0' \
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'httpx>=0.27.0,<1.0' \
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'pydantic>=2.0.0,<3.0'
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# Copy entrypoint script (ray-serve-apps is installed from PyPI at runtime)
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COPY --chown=ray:ray --chmod=755 dockerfiles/ray-entrypoint.sh /app/ray-entrypoint.sh
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# Environment configuration
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ENV PYTHONPATH=/app \
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PYTHONUNBUFFERED=1 \
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PYTHONDONTWRITEBYTECODE=1 \
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RAY_HEAD_SVC="ai-inference-raycluster-head-svc" \
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GPU_RESOURCE="gpu_intel" \
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NUM_GPUS="1" \
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# Intel XPU settings
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ZE_AFFINITY_MASK=0 \
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SYCL_DEVICE_FILTER="level_zero:gpu"
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# Health check
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HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
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CMD ray status --address=localhost:6379 || exit 1
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ENTRYPOINT ["/app/ray-entrypoint.sh"]
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