PATH=/opt/venv/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
NVARCH=x86_64
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
NV_CUDA_CUDART_VERSION=12.2.140-1
NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2
CUDA_VERSION=12.2.2
LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
NVIDIA_VISIBLE_DEVICES=all
NVIDIA_DRIVER_CAPABILITIES=compute,utility
NV_CUDA_LIB_VERSION=12.2.2-1
NV_NVTX_VERSION=12.2.140-1
NV_LIBNPP_VERSION=12.2.1.4-1
NV_LIBNPP_PACKAGE=libnpp-12-2=12.2.1.4-1
NV_LIBCUSPARSE_VERSION=12.1.2.141-1
NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-2
NV_LIBCUBLAS_VERSION=12.2.5.6-1
NV_LIBCUBLAS_PACKAGE=libcublas-12-2=12.2.5.6-1
NV_LIBNCCL_PACKAGE_NAME=libnccl2
NV_LIBNCCL_PACKAGE_VERSION=2.19.3-1
NCCL_VERSION=2.19.3-1
NV_LIBNCCL_PACKAGE=libnccl2=2.19.3-1+cuda12.2
NVIDIA_PRODUCT_NAME=CUDA
TRANSFORMERS_CACHE=/cache
PYTHONDONTWRITEBYTECODE=1
PYTHONUNBUFFERED=1
PYTHONPATH=/usr/src
DEVICE=cuda
VIRTUAL_ENV=/opt/venv
IMMICH_BUILD=14111963986
IMMICH_BUILD_URL=https://github.com/immich-app/immich/actions/runs/14111963986
IMMICH_BUILD_IMAGE=v1.130.3
IMMICH_BUILD_IMAGE_URL=https://github.com/immich-app/immich/pkgs/container/immich-machine-learning
IMMICH_REPOSITORY=immich-app/immich
IMMICH_REPOSITORY_URL=https://github.com/immich-app/immich
IMMICH_SOURCE_REF=v1.130.3
IMMICH_SOURCE_COMMIT=43f8f473e95438cabef3626f149389213a353004
IMMICH_SOURCE_URL=https://github.com/immich-app/immich/commit/43f8f473e95438cabef3626f149389213a353004
镜像构建历史
# 2025-03-26 10:06:24 0.00B 指定检查容器健康状态的命令
HEALTHCHECK &{["CMD-SHELL" "python3 healthcheck.py"] "0s" "0s" "0s" "0s" '\x00'}
# 2025-03-26 10:06:24 0.00B 设置默认要执行的命令
CMD ["./start.sh"]
# 2025-03-26 10:06:24 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["tini" "--"]
# 2025-03-26 10:06:24 0.00B 设置环境变量 IMMICH_SOURCE_URL
ENV IMMICH_SOURCE_URL=https://github.com/immich-app/immich/commit/43f8f473e95438cabef3626f149389213a353004
# 2025-03-26 10:06:24 0.00B 设置环境变量 IMMICH_SOURCE_COMMIT
ENV IMMICH_SOURCE_COMMIT=43f8f473e95438cabef3626f149389213a353004
# 2025-03-26 10:06:24 0.00B 设置环境变量 IMMICH_SOURCE_REF
ENV IMMICH_SOURCE_REF=v1.130.3
# 2025-03-26 10:06:24 0.00B 设置环境变量 IMMICH_REPOSITORY_URL
ENV IMMICH_REPOSITORY_URL=https://github.com/immich-app/immich
# 2025-03-26 10:06:24 0.00B 设置环境变量 IMMICH_REPOSITORY
ENV IMMICH_REPOSITORY=immich-app/immich
# 2025-03-26 10:06:24 0.00B 设置环境变量 IMMICH_BUILD_IMAGE_URL
ENV IMMICH_BUILD_IMAGE_URL=https://github.com/immich-app/immich/pkgs/container/immich-machine-learning
# 2025-03-26 10:06:24 0.00B 设置环境变量 IMMICH_BUILD_IMAGE
ENV IMMICH_BUILD_IMAGE=v1.130.3
# 2025-03-26 10:06:24 0.00B 设置环境变量 IMMICH_BUILD_URL
ENV IMMICH_BUILD_URL=https://github.com/immich-app/immich/actions/runs/14111963986
# 2025-03-26 10:06:24 0.00B 设置环境变量 IMMICH_BUILD
ENV IMMICH_BUILD=14111963986
# 2025-03-26 10:06:24 0.00B 定义构建参数
ARG BUILD_SOURCE_COMMIT=43f8f473e95438cabef3626f149389213a353004
# 2025-03-26 10:06:24 0.00B 定义构建参数
ARG BUILD_SOURCE_REF=v1.130.3
# 2025-03-26 10:06:24 0.00B 定义构建参数
ARG BUILD_IMAGE=v1.130.3
# 2025-03-26 10:06:24 0.00B 定义构建参数
ARG BUILD_ID=14111963986
# 2025-03-26 10:06:24 106.82KB 复制新文件或目录到容器中
COPY app . # buildkit
# 2025-03-26 10:06:24 1.58KB 复制新文件或目录到容器中
COPY start.sh log_conf.json gunicorn_conf.py ./ # buildkit
# 2025-03-26 10:06:24 6.78KB 复制新文件或目录到容器中
COPY ann/ann.py /usr/src/ann/ann.py # buildkit
# 2025-03-26 10:06:24 1.40GB 复制新文件或目录到容器中
COPY /opt/venv /opt/venv # buildkit
# 2025-03-19 01:11:08 5.16KB 执行命令并创建新的镜像层
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
# 2025-03-19 01:11:08 0.00B 设置环境变量 TRANSFORMERS_CACHE PYTHONDONTWRITEBYTECODE PYTHONUNBUFFERED PATH PYTHONPATH DEVICE VIRTUAL_ENV
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
# 2025-03-19 01:11:08 0.00B 设置工作目录为/usr/src/app
WORKDIR /usr/src/app
# 2025-03-19 01:11:08 1.54MB 执行命令并创建新的镜像层
RUN |1 DEVICE=cuda /bin/sh -c apt-get update && apt-get install -y --no-install-recommends tini $(if ! [ "$DEVICE" = "openvino" ] && ! [ "$DEVICE" = "rocm" ]; then echo "libmimalloc2.0"; fi) && apt-get autoremove -yqq && apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-03-19 01:11:08 0.00B 定义构建参数
ARG DEVICE=cuda
# 2025-03-19 01:11:02 21.73MB 复制新文件或目录到容器中
COPY /usr/local/lib/libpython3.11.so /usr/local/lib/libpython3.11.so # buildkit
# 2025-03-19 01:11:02 41.49MB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.11 /usr/local/lib/python3.11 # buildkit
# 2025-02-18 02:11:16 18.20KB 复制新文件或目录到容器中
COPY /usr/local/bin/python3 /usr/local/bin/python3 # buildkit
# 2025-02-18 02:11:16 1.10GB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install --no-install-recommends -yqq libcudnn9-cuda-12 && apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 12:59:11 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2023-11-10 12:59:11 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2023-11-10 12:59:11 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2023-11-10 12:59:11 3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
# 2023-11-10 12:59:11 261.40KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
# 2023-11-10 12:59:10 1.95GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-2=${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
# 2023-11-10 12:59:10 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 12:59:10 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 12:59:10 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.19.3-1+cuda12.2
# 2023-11-10 12:59:10 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.19.3-1
# 2023-11-10 12:59:10 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.19.3-1
# 2023-11-10 12:59:10 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2023-11-10 12:59:10 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-2=12.2.5.6-1
# 2023-11-10 12:59:10 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.2.5.6-1
# 2023-11-10 12:59:10 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-2
# 2023-11-10 12:59:10 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.1.2.141-1
# 2023-11-10 12:59:10 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-2=12.2.1.4-1
# 2023-11-10 12:59:10 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.2.1.4-1
# 2023-11-10 12:59:10 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.2.140-1
# 2023-11-10 12:59:10 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.2.2-1
# 2023-11-10 12:57:28 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2023-11-10 12:57:28 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2023-11-10 12:57:28 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2023-11-10 12:57:28 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2023-11-10 12:57:28 0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2023-11-10 12:57:28 46.00B 执行命令并创建新的镜像层
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
# 2023-11-10 12:57:28 150.49MB 执行命令并创建新的镜像层
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} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 12:56:27 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.2.2
# 2023-11-10 12:56:27 10.56MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${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
# 2023-11-10 12:56:27 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 12:56:27 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 12:56:27 0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2
# 2023-11-10 12:56:27 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.2.140-1
# 2023-11-10 12:56:27 0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand
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
# 2023-11-10 12:56:27 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2023-10-05 15:33:32 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2023-10-05 15:33:32 77.82MB
/bin/sh -c #(nop) ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in /
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
{
"Id": "sha256:b681579aba0b9afacb57ca1e1442913570e7cbfc3cf9aabc6b016da11c2ca04e",
"RepoTags": [
"ghcr.io/immich-app/immich-machine-learning:v1.130.3-cuda",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/immich-app/immich-machine-learning:v1.130.3-cuda"
],
"RepoDigests": [
"ghcr.io/immich-app/immich-machine-learning@sha256:4b9f9b45d657cdd944e66e50d5e31b922c30b67f05d5956cfa13a4888f711ca3",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/immich-app/immich-machine-learning@sha256:a7e7d52d3014e1b7fcc468ed1e9fc68fbe74aed7582aa059c5cdbc2d6a8d07f0"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2025-03-26T02:06:24.653900108Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
"PATH=/opt/venv/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
"NVARCH=x86_64",
"NVIDIA_REQUIRE_CUDA=cuda\u003e=12.2 brand=tesla,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=geforce,driver\u003e=470,driver\u003c471 brand=geforcertx,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=titan,driver\u003e=470,driver\u003c471 brand=titanrtx,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=525,driver\u003c526 brand=unknown,driver\u003e=525,driver\u003c526 brand=nvidia,driver\u003e=525,driver\u003c526 brand=nvidiartx,driver\u003e=525,driver\u003c526 brand=geforce,driver\u003e=525,driver\u003c526 brand=geforcertx,driver\u003e=525,driver\u003c526 brand=quadro,driver\u003e=525,driver\u003c526 brand=quadrortx,driver\u003e=525,driver\u003c526 brand=titan,driver\u003e=525,driver\u003c526 brand=titanrtx,driver\u003e=525,driver\u003c526",
"NV_CUDA_CUDART_VERSION=12.2.140-1",
"NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2",
"CUDA_VERSION=12.2.2",
"LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
"NVIDIA_VISIBLE_DEVICES=all",
"NVIDIA_DRIVER_CAPABILITIES=compute,utility",
"NV_CUDA_LIB_VERSION=12.2.2-1",
"NV_NVTX_VERSION=12.2.140-1",
"NV_LIBNPP_VERSION=12.2.1.4-1",
"NV_LIBNPP_PACKAGE=libnpp-12-2=12.2.1.4-1",
"NV_LIBCUSPARSE_VERSION=12.1.2.141-1",
"NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-2",
"NV_LIBCUBLAS_VERSION=12.2.5.6-1",
"NV_LIBCUBLAS_PACKAGE=libcublas-12-2=12.2.5.6-1",
"NV_LIBNCCL_PACKAGE_NAME=libnccl2",
"NV_LIBNCCL_PACKAGE_VERSION=2.19.3-1",
"NCCL_VERSION=2.19.3-1",
"NV_LIBNCCL_PACKAGE=libnccl2=2.19.3-1+cuda12.2",
"NVIDIA_PRODUCT_NAME=CUDA",
"TRANSFORMERS_CACHE=/cache",
"PYTHONDONTWRITEBYTECODE=1",
"PYTHONUNBUFFERED=1",
"PYTHONPATH=/usr/src",
"DEVICE=cuda",
"VIRTUAL_ENV=/opt/venv",
"IMMICH_BUILD=14111963986",
"IMMICH_BUILD_URL=https://github.com/immich-app/immich/actions/runs/14111963986",
"IMMICH_BUILD_IMAGE=v1.130.3",
"IMMICH_BUILD_IMAGE_URL=https://github.com/immich-app/immich/pkgs/container/immich-machine-learning",
"IMMICH_REPOSITORY=immich-app/immich",
"IMMICH_REPOSITORY_URL=https://github.com/immich-app/immich",
"IMMICH_SOURCE_REF=v1.130.3",
"IMMICH_SOURCE_COMMIT=43f8f473e95438cabef3626f149389213a353004",
"IMMICH_SOURCE_URL=https://github.com/immich-app/immich/commit/43f8f473e95438cabef3626f149389213a353004"
],
"Cmd": [
"./start.sh"
],
"Healthcheck": {
"Test": [
"CMD-SHELL",
"python3 healthcheck.py"
]
},
"ArgsEscaped": true,
"Image": "",
"Volumes": null,
"WorkingDir": "/usr/src/app",
"Entrypoint": [
"tini",
"--"
],
"OnBuild": null,
"Labels": {
"maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
"org.opencontainers.image.ref.name": "ubuntu",
"org.opencontainers.image.version": "22.04"
}
},
"Architecture": "amd64",
"Os": "linux",
"Size": 4747291064,
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