immich-machine-learning (sha256:01c12960ab56157c415dfa941c605ac285d8e728afbcb0e4445eaa1a5a55df7d)
Published 2026-10-15 17:54:26 +00:00 by packager
Installation
docker pull forge.myvelabs.com/pkg/immich-machine-learning@sha256:01c12960ab56157c415dfa941c605ac285d8e728afbcb0e4445eaa1a5a55df7dsha256:01c12960ab56157c415dfa941c605ac285d8e728afbcb0e4445eaa1a5a55df7dAbout this package
High performance self-hosted photo and video management solution.
Image layers
| ARG RELEASE |
| ARG LAUNCHPAD_BUILD_ARCH |
| LABEL org.opencontainers.image.ref.name=ubuntu |
| LABEL org.opencontainers.image.version=22.04 |
| ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in / |
| CMD ["/bin/bash"] |
| ENV NVARCH=x86_64 |
| ENV NVIDIA_REQUIRE_CUDA=cuda>=12.2 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 |
| ENV NV_CUDA_CUDART_VERSION=12.2.140-1 |
| ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2 |
| ARG TARGETARCH |
| LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com> |
| RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.0-1_all.deb && dpkg -i cuda-keyring_1.0-1_all.deb && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit |
| ENV CUDA_VERSION=12.2.2 |
| RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-12-2=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit |
| RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit |
| ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin |
| ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 |
| COPY NGC-DL-CONTAINER-LICENSE / # buildkit |
| ENV NVIDIA_VISIBLE_DEVICES=all |
| ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility |
| ENV NV_CUDA_LIB_VERSION=12.2.2-1 |
| ENV NV_NVTX_VERSION=12.2.140-1 |
| ENV NV_LIBNPP_VERSION=12.2.1.4-1 |
| ENV NV_LIBNPP_PACKAGE=libnpp-12-2=12.2.1.4-1 |
| ENV NV_LIBCUSPARSE_VERSION=12.1.2.141-1 |
| ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-2 |
| ENV NV_LIBCUBLAS_VERSION=12.2.5.6-1 |
| ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-2=12.2.5.6-1 |
| ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2 |
| ENV NV_LIBNCCL_PACKAGE_VERSION=2.19.3-1 |
| ENV NCCL_VERSION=2.19.3-1 |
| ENV NV_LIBNCCL_PACKAGE=libnccl2=2.19.3-1+cuda12.2 |
| ARG TARGETARCH |
| LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com> |
| RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-2=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-12-2=${NV_NVTX_VERSION} libcusparse-12-2=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit |
| RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit |
| COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit |
| COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit |
| ENV NVIDIA_PRODUCT_NAME=CUDA |
| ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"] |
| ENV MACHINE_LEARNING_MODEL_ARENA=false |
| RUN /bin/sh -c apt-get update && apt-get install --no-install-recommends -yqq libcudnn9-cuda-12=9.10.2.21-1 tzdata && apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit |
| COPY /usr/local/bin/python3 /usr/local/bin/python3 # buildkit |
| COPY /usr/local/lib/python3.13 /usr/local/lib/python3.13 # buildkit |
| COPY /usr/local/lib/libpython3.13.so /usr/local/lib/libpython3.13.so # buildkit |
| ARG DEVICE=cuda |
| COPY /libmimalloc.so /usr/lib/libmimalloc.so # buildkit |
| RUN |1 DEVICE=cuda /bin/sh -c apt-get update && apt-get install -y --no-install-recommends tini ccache libgomp1 && apt-get autoremove -yqq && apt-get clean && rm -rf /var/lib/apt/lists/* && case "$DEVICE" in openvino|rocm);; *) echo /usr/lib/libmimalloc.so > /etc/ld.so.preload;; esac # buildkit |
| WORKDIR /usr/src |
| ENV TRANSFORMERS_CACHE=/cache PYTHONDONTWRITEBYTECODE=1 PYTHONUNBUFFERED=1 PATH=/opt/venv/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin PYTHONPATH=/usr/src DEVICE=cuda VIRTUAL_ENV=/opt/venv MACHINE_LEARNING_CACHE_FOLDER=/cache |
| RUN |1 DEVICE=cuda /bin/sh -c echo "hard core 0" >> /etc/security/limits.conf && echo "fs.suid_dumpable 0" >> /etc/sysctl.conf && echo 'ulimit -S -c 0 > /dev/null 2>&1' >> /etc/profile # buildkit |
| COPY /opt/venv /opt/venv # buildkit |
| COPY scripts/healthcheck.py . # buildkit |
| COPY immich_ml immich_ml # buildkit |
| ARG BUILD_ID=38602348632 |
| ARG BUILD_IMAGE=v3.3.3 |
| ARG BUILD_SOURCE_REF=v3.3.3 |
| ARG BUILD_SOURCE_COMMIT=d2dac658fe1c67e8bbd08aa18200a32e5d45b9e4 |
| ENV IMMICH_BUILD=38602348632 |
| ENV IMMICH_BUILD_URL=https://github.com/immich-app/immich/actions/runs/38602348632 |
| ENV IMMICH_BUILD_IMAGE=v3.3.3 |
| ENV IMMICH_BUILD_IMAGE_URL=https://github.com/immich-app/immich/pkgs/container/immich-machine-learning |
| ENV IMMICH_REPOSITORY=immich-app/immich |
| ENV IMMICH_REPOSITORY_URL=https://github.com/immich-app/immich |
| ENV IMMICH_SOURCE_REF=v3.3.3 |
| ENV IMMICH_SOURCE_COMMIT=d2dac658fe1c67e8bbd08aa18200a32e5d45b9e4 |
| ENV IMMICH_SOURCE_URL=https://github.com/immich-app/immich/commit/d2dac658fe1c67e8bbd08aa18200a32e5d45b9e4 |
| ENV HF_HOME=/cache/hf-cache |
| ENV CUDA_CACHE_PATH=/cache/jit/cuda AMD_COMGR_CACHE_DIR=/cache/jit/comgr NEO_CACHE_DIR=/cache/jit/neo |
| ENTRYPOINT ["tini" "--"] |
| CMD ["python" "-m" "immich_ml"] |
| HEALTHCHECK {Test:[CMD-SHELL python3 healthcheck.py] Interval:0s Timeout:0s StartPeriod:0s StartInterval:0s Retries:0} |
Labels
| Key | Value |
|---|---|
| maintainer | NVIDIA CORPORATION <cudatools@nvidia.com> |
| org.opencontainers.image.created | 2026-10-14T16:57:15.836Z |
| org.opencontainers.image.description | High performance self-hosted photo and video management solution. |
| org.opencontainers.image.licenses | AGPL-3.0 |
| org.opencontainers.image.ref.name | ubuntu |
| org.opencontainers.image.revision | d2dac658fe1c67e8bbd08aa18200a32e5d45b9e4 |
| org.opencontainers.image.source | https://github.com/immich-app/immich |
| org.opencontainers.image.title | immich |
| org.opencontainers.image.url | https://github.com/immich-app/immich |
| org.opencontainers.image.version | v3.3.3 |
Details
2026-10-15 17:54:26 +00:00
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Container
0
OCI / Docker
linux/amd64
AGPL-3.0
2.6 GiB