镜像构建历史
# 2025-08-13 22:02:37 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'}
# 2025-08-13 22:02:37 0.00B 设置默认要执行的命令
CMD ["python" "-m" "immich_ml"]
# 2025-08-13 22:02:37 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["tini" "--"]
# 2025-08-13 22:02:37 0.00B 设置环境变量 IMMICH_SOURCE_URL
ENV IMMICH_SOURCE_URL=https://github.com/immich-app/immich/commit/bede19a3ca48c2c0465c7fb80fdc8d36ec428aa0
# 2025-08-13 22:02:37 0.00B 设置环境变量 IMMICH_SOURCE_COMMIT
ENV IMMICH_SOURCE_COMMIT=bede19a3ca48c2c0465c7fb80fdc8d36ec428aa0
# 2025-08-13 22:02:37 0.00B 设置环境变量 IMMICH_SOURCE_REF
ENV IMMICH_SOURCE_REF=v1.138.0
# 2025-08-13 22:02:37 0.00B 设置环境变量 IMMICH_REPOSITORY_URL
ENV IMMICH_REPOSITORY_URL=https://github.com/immich-app/immich
# 2025-08-13 22:02:37 0.00B 设置环境变量 IMMICH_REPOSITORY
ENV IMMICH_REPOSITORY=immich-app/immich
# 2025-08-13 22:02:37 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
# 2025-08-13 22:02:37 0.00B 设置环境变量 IMMICH_BUILD_IMAGE
ENV IMMICH_BUILD_IMAGE=v1.138.0
# 2025-08-13 22:02:37 0.00B 设置环境变量 IMMICH_BUILD_URL
ENV IMMICH_BUILD_URL=https://github.com/immich-app/immich/actions/runs/16974881662
# 2025-08-13 22:02:37 0.00B 设置环境变量 IMMICH_BUILD
ENV IMMICH_BUILD=16974881662
# 2025-08-13 22:02:37 0.00B 定义构建参数
ARG BUILD_SOURCE_COMMIT=bede19a3ca48c2c0465c7fb80fdc8d36ec428aa0
# 2025-08-13 22:02:37 0.00B 定义构建参数
ARG BUILD_SOURCE_REF=v1.138.0
# 2025-08-13 22:02:37 0.00B 定义构建参数
ARG BUILD_IMAGE=v1.138.0
# 2025-08-13 22:02:37 0.00B 定义构建参数
ARG BUILD_ID=16974881662
# 2025-08-13 22:02:37 67.78KB 复制新文件或目录到容器中
COPY immich_ml immich_ml # buildkit
# 2025-08-13 22:02:37 368.00B 复制新文件或目录到容器中
COPY scripts/healthcheck.py . # buildkit
# 2025-08-13 22:02:37 1.41GB 复制新文件或目录到容器中
COPY /opt/venv /opt/venv # buildkit
# 2025-08-13 22:02:29 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
# 2025-08-13 22:02:29 0.00B 设置环境变量 TRANSFORMERS_CACHE PYTHONDONTWRITEBYTECODE PYTHONUNBUFFERED PATH PYTHONPATH DEVICE VIRTUAL_ENV MACHINE_LEARNING_CACHE_FOLDER
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
# 2025-08-13 22:02:29 0.00B 设置工作目录为/usr/src
WORKDIR /usr/src
# 2025-08-13 22:02:29 42.00B 执行命令并创建新的镜像层
RUN |1 DEVICE=cuda /bin/sh -c ln -s "/usr/lib/$(arch)-linux-gnu/libmimalloc.so.2" /usr/lib/libmimalloc.so.2 # buildkit
# 2025-08-13 22:02:29 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
# 2025-08-13 22:02:20 0.00B 定义构建参数
ARG DEVICE=cuda
# 2025-08-13 22:02:20 21.75MB 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
# 2025-08-13 22:02:20 41.48MB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.11 /usr/local/lib/python3.11 # buildkit
# 2025-06-07 08:34:48 18.21KB 复制新文件或目录到容器中
COPY /usr/local/bin/python3 /usr/local/bin/python3 # buildkit
# 2025-04-25 21:13:56 1.05GB 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
# 2025-04-25 21:13:56 0.00B 设置环境变量 LD_PRELOAD
ENV LD_PRELOAD=/usr/lib/libmimalloc.so.2
# 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:d521d1c0b86b6b7347f6f549e8eae3e163845bc2d61752cef697088e625934d1",
"RepoTags": [
"ghcr.io/immich-app/immich-machine-learning:v1.138.0-cuda",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/immich-app/immich-machine-learning:v1.138.0-cuda"
],
"RepoDigests": [
"ghcr.io/immich-app/immich-machine-learning@sha256:8cf0cd426bae6937690b0086d5dfe1c20c8babe3473698d82a21a38aa6384d25",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/immich-app/immich-machine-learning@sha256:ff3ea156dcbaa9303d5637235615f2554787bbfc75487670db58a94a506c534e"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2025-08-13T14:02:37.95163774Z",
"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",
"LD_PRELOAD=/usr/lib/libmimalloc.so.2",
"TRANSFORMERS_CACHE=/cache",
"PYTHONDONTWRITEBYTECODE=1",
"PYTHONUNBUFFERED=1",
"PYTHONPATH=/usr/src",
"DEVICE=cuda",
"VIRTUAL_ENV=/opt/venv",
"MACHINE_LEARNING_CACHE_FOLDER=/cache",
"IMMICH_BUILD=16974881662",
"IMMICH_BUILD_URL=https://github.com/immich-app/immich/actions/runs/16974881662",
"IMMICH_BUILD_IMAGE=v1.138.0",
"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=v1.138.0",
"IMMICH_SOURCE_COMMIT=bede19a3ca48c2c0465c7fb80fdc8d36ec428aa0",
"IMMICH_SOURCE_URL=https://github.com/immich-app/immich/commit/bede19a3ca48c2c0465c7fb80fdc8d36ec428aa0"
],
"Cmd": [
"python",
"-m",
"immich_ml"
],
"Healthcheck": {
"Test": [
"CMD-SHELL",
"python3 healthcheck.py"
]
},
"ArgsEscaped": true,
"Image": "",
"Volumes": null,
"WorkingDir": "/usr/src",
"Entrypoint": [
"tini",
"--"
],
"OnBuild": null,
"Labels": {
"maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
"org.opencontainers.image.created": "2025-08-14T19:35:31.158Z",
"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": "bede19a3ca48c2c0465c7fb80fdc8d36ec428aa0",
"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": "v1.138.0"
}
},
"Architecture": "amd64",
"Os": "linux",
"Size": 4707623409,
"GraphDriver": {
"Data": {
"LowerDir": "/var/lib/docker/overlay2/53030f543ec355e050d4dedb817cd45bf15fd5f10370dd7edc373b857df832a2/diff:/var/lib/docker/overlay2/7feeefdfb048e3c77bbb57318c61b7b7675bb50c7dda3dd59547376cca47ab1c/diff:/var/lib/docker/overlay2/d8d0b78ae50fe301a7e6e0d02adac82e543c1bf3a04d1b209457a7700659837a/diff:/var/lib/docker/overlay2/22cff181478f10b818a2cc426fbbb98610287bb0b40ffa8c6b7461fed163986f/diff:/var/lib/docker/overlay2/0118559b0b284eb195a5548015fe4fe2a7a6987898c602ab6e04e3b3b699b3df/diff:/var/lib/docker/overlay2/175b89aff548d13c101f1cacb4d67da1b3b45926519ae5a0f4181e7c1b30ee18/diff:/var/lib/docker/overlay2/ff360032cbaf0e93c38de098d32aecd71c85594a5afca074dd3bb9899694f4eb/diff:/var/lib/docker/overlay2/56ae1b2528440fdd08f9860a2599cabbff16d6d3ffba69c84299fda97685c885/diff:/var/lib/docker/overlay2/23157d649bf24999211d03db886b696da72b3d5d321b4adcbc111bbb8c28bdcd/diff:/var/lib/docker/overlay2/912546c69f7376b8c2cbf98185971855c9ceae76a9facdd5206717fcd01bce5d/diff:/var/lib/docker/overlay2/d5fce25003016e608229f6c56415a98632684b6d491550b6507fe00825d04410/diff:/var/lib/docker/overlay2/c89f186f3e9aecd3daf5819e014d87c4da4804970680abe727089bd16b62d7f0/diff:/var/lib/docker/overlay2/215e546a86fc97b7b4750f15d6c3b3714ba8921f73fcab18cf75c7bd10dfeeee/diff:/var/lib/docker/overlay2/f8ab3f274dd147c212a1697fede6755e462d5fc9df90614faab1153b1602743d/diff:/var/lib/docker/overlay2/fe422d15e66d9629d745627cd7eb550f86096a53514c24f81a57c19f7948be83/diff:/var/lib/docker/overlay2/9b3a56a76184744dedb439ae9edba13eb521489508879d17e9e6734e941baf04/diff:/var/lib/docker/overlay2/e1a7619cfc95b25bc4d57eb0b67f9436040635773117cd08218e839b67c54c08/diff:/var/lib/docker/overlay2/0b1f2f51ae29aa32da6e10aa25330e5b7a937bc93f37941f9aa5940159806fbf/diff:/var/lib/docker/overlay2/f2905627b4505cda033dd62b5a5dc1676edda5a6e1bda7cd6e6e2048fcf5aee0/diff",
"MergedDir": "/var/lib/docker/overlay2/f4a6fe7d16b62dfc1e9c6f9edcb11d9cca455f841b9e41730921f22019c30091/merged",
"UpperDir": "/var/lib/docker/overlay2/f4a6fe7d16b62dfc1e9c6f9edcb11d9cca455f841b9e41730921f22019c30091/diff",
"WorkDir": "/var/lib/docker/overlay2/f4a6fe7d16b62dfc1e9c6f9edcb11d9cca455f841b9e41730921f22019c30091/work"
},
"Name": "overlay2"
},
"RootFS": {
"Type": "layers",
"Layers": [
"sha256:256d88da41857db513b95b50ba9a9b28491b58c954e25477d5dad8abb465430b",
"sha256:c735aeb4de509baf67a6c318ae0ef434e36ed80edca7dce29a653e67499fd63a",
"sha256:77b174470c9445f8ac446787f14d1c676d294d6323c6fb1b0c21ba328325aeb6",
"sha256:adf2c0a553e917db1a0cfdcda1a7d85bfba431fc150c626b45e471c0bc3a5041",
"sha256:d3e5eae7a62576ed2689992c2a5e51ca8e8bb8636375268a9821a50c11fa4fcc",
"sha256:bd4791c0dfbebfd8bfab1921cbf1edf2d00800dd7d0e82e48008fb31efcf2ade",
"sha256:4deb6be006993233d5c03853bb374ad78dcacc6b22dbb66a487e375c7ca9144c",
"sha256:97da79745aa177b0efed59ee23f31bfcc07e67c1e4d14205ae244f00180da7da",
"sha256:598c4c0e7d71b8bfb29b91c39f8c33bbe2f244de9eeecbc3cbd41a44d0799b70",
"sha256:485c14b49578fa86c06f182c7516499428bfeeb3e998da2d312b93b4ba1585e5",
"sha256:010012ddbbec5b1de5d658a987188659f7a16369d6f033817c7d3d19ee885391",
"sha256:b67838632b1d971f5e56e6377153f2f46c5d0edac2b5dc6d003a8ecfc2235d92",
"sha256:0e44efcd12c9efde8aae72fbca3b547c89ca73a5de3648bf493b4ed0019dc9f8",
"sha256:6687ba80c4565cef6e05ef4c76271befd1420f8029bb9ac5c855309c5f94a1dd",
"sha256:698a1aef3ba7cf010e6fa2a21a18c018f093719d9ca171e97aa1f07cbabc51c4",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:2d1cfdc6bdbda607f009f23a2cd1bb64ca196cd706aabb417abca24497ba55b8",
"sha256:67281765b1719b437d2aa069a342086634ccca6c206be72e18426cbd4c27ef10",
"sha256:8e5b805811580b1e7fe4ffb1245862bd95d032266c6c62ded9f7f99266865ff5",
"sha256:d198d6619e255fd3c2fd98ef0b91bcabb239ca405f0de401863812ad3d078c73"
]
},
"Metadata": {
"LastTagTime": "2025-08-16T19:39:45.3787517+08:00"
}
}