Bumps nvidia/cuda from 12.8.1-cudnn-runtime-ubuntu24.04 to 12.9.2-cudnn-runtime-ubuntu24.04. --- updated-dependencies: - dependency-name: nvidia/cuda dependency-version: 12.9.2-cudnn-runtime-ubuntu24.04 dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <support@github.com>
137 lines
6.5 KiB
Docker
137 lines
6.5 KiB
Docker
# ── Base images ───────────────────────────────────────────────────────────────
|
|
# amd64 + gpu: NVIDIA CUDA 12.8 + cuDNN on Ubuntu 24.04 (highest Ubuntu NVIDIA publishes)
|
|
# amd64 + rocm: Ubuntu 26.04 (AMD GPU via ROCm — pass /dev/kfd and /dev/dri)
|
|
# amd64 + intel: Ubuntu 22.04 (Intel Arc / iGPU via OpenVINO — pass /dev/dri)
|
|
# Note: intel stays on 22.04 — Intel's GPU repo only publishes for jammy
|
|
# amd64 + cpu: Ubuntu 26.04 (CPU-only, ~2 GB smaller image)
|
|
# arm64: Ubuntu 24.04 (CPU-only; no CUDA/ROCm wheels on ARM)
|
|
|
|
ARG VARIANT=gpu
|
|
|
|
FROM --platform=$BUILDPLATFORM nvidia/cuda:12.9.2-cudnn-runtime-ubuntu24.04 AS base-amd64-gpu
|
|
FROM ubuntu:26.04 AS base-amd64-rocm
|
|
FROM ubuntu:22.04 AS base-amd64-intel
|
|
FROM ubuntu:26.04 AS base-amd64-cpu
|
|
FROM ubuntu:24.04 AS base-arm64-gpu
|
|
FROM ubuntu:24.04 AS base-arm64-rocm
|
|
FROM ubuntu:24.04 AS base-arm64-intel
|
|
FROM ubuntu:24.04 AS base-arm64-cpu
|
|
|
|
# ── Build stage ───────────────────────────────────────────────────────────────
|
|
ARG TARGETARCH
|
|
|
|
FROM base-${TARGETARCH}-${VARIANT} AS build
|
|
|
|
ARG VARIANT=gpu
|
|
ENV DEBIAN_FRONTEND=noninteractive
|
|
|
|
# All base images get Python 3.13 from the deadsnakes PPA (26.04 ships 3.14 natively;
|
|
# 3.13 is used to keep dependencies tested and aligned). GNUPGHOME is isolated
|
|
# so gpg never contacts an agent socket under QEMU.
|
|
RUN apt-get update && apt-get install -y --no-install-recommends \
|
|
ca-certificates curl gnupg software-properties-common \
|
|
&& GNUPGHOME=$(mktemp -d) add-apt-repository ppa:deadsnakes/ppa -y \
|
|
&& apt-get update \
|
|
&& apt-get install -y --no-install-recommends \
|
|
python3.13 python3.13-venv python3.13-dev \
|
|
libgl1 libglib2.0-0 libxext6 g++ \
|
|
&& rm -rf /var/lib/apt/lists/* \
|
|
&& ln -sf /usr/bin/python3.13 /usr/bin/python3
|
|
|
|
COPY --from=ghcr.io/astral-sh/uv:0.11.21 /uv /usr/local/bin/uv
|
|
|
|
WORKDIR /app
|
|
|
|
COPY pyproject.toml uv.lock ./
|
|
RUN if [ "$VARIANT" = "cpu" ]; then \
|
|
uv sync --frozen --no-dev --extra cpu; \
|
|
elif [ "$VARIANT" = "rocm" ]; then \
|
|
uv sync --frozen --no-dev --extra rocm; \
|
|
elif [ "$VARIANT" = "intel" ]; then \
|
|
uv sync --frozen --no-dev --extra intel; \
|
|
elif [ "$VARIANT" = "gpu" ]; then \
|
|
uv sync --frozen --no-dev --extra gpu && \
|
|
ORT_GPU_VER=$(.venv/bin/python -c "import importlib.metadata; print(importlib.metadata.version('onnxruntime-gpu'))") && \
|
|
uv pip install --python .venv/bin/python --no-deps --reinstall "onnxruntime-gpu==$ORT_GPU_VER"; \
|
|
else \
|
|
echo "Unknown VARIANT: '$VARIANT'. Must be one of: cpu, rocm, intel, gpu" >&2; \
|
|
exit 1; \
|
|
fi && \
|
|
uv cache clean
|
|
|
|
COPY winnow/ winnow/
|
|
COPY entrypoint.sh scheduler.py ./
|
|
RUN chmod +x /app/entrypoint.sh
|
|
|
|
# ── Runtime stage ─────────────────────────────────────────────────────────────
|
|
# Starts fresh from the base image — excludes build tools (g++,
|
|
# python3.13-dev, gnupg, software-properties-common) not needed at runtime.
|
|
|
|
FROM base-${TARGETARCH}-${VARIANT} AS runtime
|
|
|
|
ARG VARIANT=gpu
|
|
ARG VERSION=dev
|
|
LABEL org.opencontainers.image.title="winnow" \
|
|
org.opencontainers.image.description="Selects diverse, high-quality photos from Immich as training data for Frigate face recognition." \
|
|
org.opencontainers.image.source="https://github.com/sudolulo/winnow" \
|
|
org.opencontainers.image.licenses="AGPL-3.0-or-later" \
|
|
org.opencontainers.image.version="${VERSION}"
|
|
ENV DEBIAN_FRONTEND=noninteractive
|
|
|
|
RUN apt-get update && apt-get install -y --no-install-recommends \
|
|
ca-certificates curl gnupg software-properties-common tini \
|
|
&& GNUPGHOME=$(mktemp -d) add-apt-repository ppa:deadsnakes/ppa -y \
|
|
&& apt-get update \
|
|
&& apt-get install -y --no-install-recommends \
|
|
python3.13 python3.13-venv \
|
|
libgl1 libglib2.0-0 libxext6 \
|
|
&& apt-get purge -y --auto-remove curl gnupg software-properties-common \
|
|
&& rm -rf /var/lib/apt/lists/* \
|
|
&& ln -sf /usr/bin/python3.13 /usr/bin/python3
|
|
|
|
# Copy app (with .venv) and uv from build stage
|
|
COPY --from=build /app /app
|
|
COPY --from=build /usr/local/bin/uv /usr/local/bin/uv
|
|
|
|
# NVIDIA: register pip-installed nvidia lib/ dirs with ldconfig so onnxruntime-gpu
|
|
# and torch can find libcudnn, libcublas, etc. Skipped silently on other variants.
|
|
RUN if [ "$VARIANT" = "gpu" ]; then \
|
|
find /app/.venv/lib/python3.*/site-packages/nvidia -type d -name "lib" \
|
|
2>/dev/null > /etc/ld.so.conf.d/nvidia-pip.conf && ldconfig || true; \
|
|
fi
|
|
# Intel: install GPU compute runtime so OpenVINO EP can target Intel Arc / iGPU.
|
|
# onnxruntime-openvino bundles OpenVINO itself; only the userspace GPU driver
|
|
# (OpenCL ICD + Level Zero) is needed from the OS.
|
|
# These packages aren't in Ubuntu 22.04 main, so this block adds Intel's
|
|
# official GPU repo first, then installs. libze-intel-gpu1 was renamed to
|
|
# level-zero in Intel's repo.
|
|
RUN if [ "$VARIANT" = "intel" ]; then \
|
|
apt-get update \
|
|
&& apt-get install -y --no-install-recommends curl gnupg \
|
|
&& curl -fsSL https://repositories.intel.com/graphics/intel-graphics.key \
|
|
| gpg --dearmor > /usr/share/keyrings/intel-graphics.gpg \
|
|
&& echo "deb [arch=amd64 signed-by=/usr/share/keyrings/intel-graphics.gpg] \
|
|
https://repositories.intel.com/graphics/ubuntu jammy flex" \
|
|
> /etc/apt/sources.list.d/intel-graphics.list \
|
|
&& apt-get update \
|
|
&& apt-get install -y --no-install-recommends \
|
|
intel-opencl-icd intel-level-zero-gpu level-zero \
|
|
&& apt-get remove -y --autoremove curl gnupg \
|
|
&& rm -rf /var/lib/apt/lists/*; \
|
|
fi
|
|
|
|
RUN groupadd -g 568 apps && useradd -u 568 -g apps -m -s /bin/bash appuser \
|
|
&& mkdir -p /models/.insightface \
|
|
&& chown -R appuser:apps /app /models
|
|
|
|
WORKDIR /app
|
|
USER appuser
|
|
# PYTHONPATH=/app makes the winnow package importable from the entry point script.
|
|
# uv sync builds the wheel before winnow/ is COPY'd, so site-packages has only
|
|
# the dist-info. Explicitly adding /app lets Python find winnow/__init__.py there.
|
|
ENV INSIGHTFACE_HOME=/models/.insightface PYTHONPATH=/app
|
|
|
|
HEALTHCHECK --interval=60s --timeout=5s --start-period=120s --retries=3 \
|
|
CMD sh -c 'if [ -f /tmp/winnow.pid ]; then kill -0 "$(cat /tmp/winnow.pid)"; fi'
|
|
ENTRYPOINT ["tini", "--", "/app/entrypoint.sh"]
|