PATH=/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>=11.7 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
NV_CUDA_CUDART_VERSION=11.7.99-1
NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-7
CUDA_VERSION=11.7.1
LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
NVIDIA_VISIBLE_DEVICES=all
NVIDIA_DRIVER_CAPABILITIES=compute,utility
NV_CUDA_LIB_VERSION=11.7.1-1
NV_NVTX_VERSION=11.7.91-1
NV_LIBNPP_VERSION=11.7.4.75-1
NV_LIBNPP_PACKAGE=libnpp-11-7=11.7.4.75-1
NV_LIBCUSPARSE_VERSION=11.7.4.91-1
NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-7
NV_LIBCUBLAS_VERSION=11.10.3.66-1
NV_LIBCUBLAS_PACKAGE=libcublas-11-7=11.10.3.66-1
NV_LIBNCCL_PACKAGE_NAME=libnccl2
NV_LIBNCCL_PACKAGE_VERSION=2.13.4-1
NCCL_VERSION=2.13.4-1
NV_LIBNCCL_PACKAGE=libnccl2=2.13.4-1+cuda11.7
NVIDIA_PRODUCT_NAME=CUDA
NV_CUDA_CUDART_DEV_VERSION=11.7.99-1
NV_NVML_DEV_VERSION=11.7.91-1
NV_LIBCUSPARSE_DEV_VERSION=11.7.4.91-1
NV_LIBNPP_DEV_VERSION=11.7.4.75-1
NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-7=11.7.4.75-1
NV_LIBCUBLAS_DEV_VERSION=11.10.3.66-1
NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-7
NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-7=11.10.3.66-1
NV_CUDA_NSIGHT_COMPUTE_VERSION=11.7.1-1
NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-7=11.7.1-1
NV_NVPROF_VERSION=11.7.101-1
NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-7=11.7.101-1
NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
NV_LIBNCCL_DEV_PACKAGE_VERSION=2.13.4-1
NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.13.4-1+cuda11.7
LIBRARY_PATH=/usr/local/cuda/lib64/stubs
镜像构建历史
# 2023-11-10 15:18:37 0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
# 2023-11-10 15:18:37 376.68KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
# 2023-11-10 15:18:36 3.70GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends libtinfo5 libncursesw5 cuda-cudart-dev-11-7=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-11-7=${NV_CUDA_LIB_VERSION} cuda-minimal-build-11-7=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-11-7=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-11-7=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-11-7=${NV_LIBCUSPARSE_DEV_VERSION} ${NV_LIBCUBLAS_DEV_PACKAGE} ${NV_LIBNCCL_DEV_PACKAGE} ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 15:18:36 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 15:18:36 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 15:18:36 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.13.4-1+cuda11.7
# 2023-11-10 15:18:36 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.13.4-1
# 2023-11-10 15:18:36 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.13.4-1
# 2023-11-10 15:18:36 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
# 2023-11-10 15:18:36 0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-7=11.7.101-1
# 2023-11-10 15:18:36 0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=11.7.101-1
# 2023-11-10 15:18:36 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-7=11.7.1-1
# 2023-11-10 15:18:36 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=11.7.1-1
# 2023-11-10 15:18:36 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-7=11.10.3.66-1
# 2023-11-10 15:18:36 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-7
# 2023-11-10 15:18:36 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=11.10.3.66-1
# 2023-11-10 15:18:36 0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-7=11.7.4.75-1
# 2023-11-10 15:18:36 0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=11.7.4.75-1
# 2023-11-10 15:18:36 0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=11.7.4.91-1
# 2023-11-10 15:18:36 0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=11.7.91-1
# 2023-11-10 15:18:36 0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=11.7.99-1
# 2023-11-10 15:18:36 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.7.1-1
# 2023-11-10 15:08:54 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2023-11-10 15:08:54 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2023-11-10 15:08:54 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2023-11-10 15:08:54 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 15:08:54 258.27KB 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} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
# 2023-11-10 15:08:54 1.82GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-11-7=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-11-7=${NV_NVTX_VERSION} libcusparse-11-7=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 15:08:54 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 15:08:54 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 15:08:54 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.13.4-1+cuda11.7
# 2023-11-10 15:08:54 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.13.4-1
# 2023-11-10 15:08:54 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.13.4-1
# 2023-11-10 15:08:54 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2023-11-10 15:08:54 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-7=11.10.3.66-1
# 2023-11-10 15:08:54 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.10.3.66-1
# 2023-11-10 15:08:54 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-7
# 2023-11-10 15:08:54 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=11.7.4.91-1
# 2023-11-10 15:08:54 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-11-7=11.7.4.75-1
# 2023-11-10 15:08:54 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.7.4.75-1
# 2023-11-10 15:08:54 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.7.91-1
# 2023-11-10 15:08:54 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.7.1-1
# 2023-11-10 15:04:06 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2023-11-10 15:04:06 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2023-11-10 15:04:06 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2023-11-10 15:04:06 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 15:04:06 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 15:04:06 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 15:04:06 119.68MB 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-11-7=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 15:03:48 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.7.1
# 2023-11-10 15:03:48 18.32MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH}/3bf863cc.pub | apt-key add - && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 15:03:48 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 15:03:48 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 15:03:48 0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-7
# 2023-11-10 15:03:48 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.7.99-1
# 2023-11-10 15:03:48 0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.7 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
# 2023-11-10 15:03:48 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2023-10-03 18:45:52 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2023-10-03 18:45:51 72.79MB
/bin/sh -c #(nop) ADD file:4809da414c2d478b4d991cbdaa2df457f2b3d07d0ff6cf673f09a66f90833e81 in /
# 2023-10-03 18:45:50 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=20.04
# 2023-10-03 18:45:50 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
# 2023-10-03 18:45:50 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2023-10-03 18:45:50 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
{
"Id": "sha256:54bed995e06c6ef66e551eef1d8aab7910f8a211aaad53651fefbdb943f8b158",
"RepoTags": [
"nvidia/cuda:11.7.1-devel-ubuntu20.04",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.7.1-devel-ubuntu20.04"
],
"RepoDigests": [
"nvidia/cuda@sha256:47bad1799ade862fa2486b6e5b19ce91c29396f4ca8d74d83b6c228222b6079f",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda@sha256:1ed1547dfaf5531621e3677471908951611ba0e318501715334928d494aa6f1d"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2023-11-10T07:18:37.111353797Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
"PATH=/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=11.7 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",
"NV_CUDA_CUDART_VERSION=11.7.99-1",
"NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-7",
"CUDA_VERSION=11.7.1",
"LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
"NVIDIA_VISIBLE_DEVICES=all",
"NVIDIA_DRIVER_CAPABILITIES=compute,utility",
"NV_CUDA_LIB_VERSION=11.7.1-1",
"NV_NVTX_VERSION=11.7.91-1",
"NV_LIBNPP_VERSION=11.7.4.75-1",
"NV_LIBNPP_PACKAGE=libnpp-11-7=11.7.4.75-1",
"NV_LIBCUSPARSE_VERSION=11.7.4.91-1",
"NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-7",
"NV_LIBCUBLAS_VERSION=11.10.3.66-1",
"NV_LIBCUBLAS_PACKAGE=libcublas-11-7=11.10.3.66-1",
"NV_LIBNCCL_PACKAGE_NAME=libnccl2",
"NV_LIBNCCL_PACKAGE_VERSION=2.13.4-1",
"NCCL_VERSION=2.13.4-1",
"NV_LIBNCCL_PACKAGE=libnccl2=2.13.4-1+cuda11.7",
"NVIDIA_PRODUCT_NAME=CUDA",
"NV_CUDA_CUDART_DEV_VERSION=11.7.99-1",
"NV_NVML_DEV_VERSION=11.7.91-1",
"NV_LIBCUSPARSE_DEV_VERSION=11.7.4.91-1",
"NV_LIBNPP_DEV_VERSION=11.7.4.75-1",
"NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-7=11.7.4.75-1",
"NV_LIBCUBLAS_DEV_VERSION=11.10.3.66-1",
"NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-7",
"NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-7=11.10.3.66-1",
"NV_CUDA_NSIGHT_COMPUTE_VERSION=11.7.1-1",
"NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-7=11.7.1-1",
"NV_NVPROF_VERSION=11.7.101-1",
"NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-7=11.7.101-1",
"NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev",
"NV_LIBNCCL_DEV_PACKAGE_VERSION=2.13.4-1",
"NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.13.4-1+cuda11.7",
"LIBRARY_PATH=/usr/local/cuda/lib64/stubs"
],
"Cmd": null,
"Image": "",
"Volumes": null,
"WorkingDir": "",
"Entrypoint": [
"/opt/nvidia/nvidia_entrypoint.sh"
],
"OnBuild": null,
"Labels": {
"maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
"org.opencontainers.image.ref.name": "ubuntu",
"org.opencontainers.image.version": "20.04"
}
},
"Architecture": "amd64",
"Os": "linux",
"Size": 5733732449,
"GraphDriver": {
"Data": {
"LowerDir": "/var/lib/docker/overlay2/329efe838ec04b486131bc631f4565330ee7cf474df69b1e33dc262e4d38b438/diff:/var/lib/docker/overlay2/c4cf8109767f632972caf975642d12143a90d89d7c95a8608a95af5f41126176/diff:/var/lib/docker/overlay2/e13e67ba4c1b6938031006bfef1018a276147cb6c282b448c57109e4486097da/diff:/var/lib/docker/overlay2/33a21f9f2802c495671a7a0c14122cc368f60cbb033f5d99e0e62ca671e134b5/diff:/var/lib/docker/overlay2/d05f9c5f110d56fb17fb3d391f5a4b24bf990a8d367bc7b2a9d46f0f6c3ab448/diff:/var/lib/docker/overlay2/ffdf8ca37799d8054ab50a03c3c3e33b8c8c71366457e17e3d85b2dcb0082b40/diff:/var/lib/docker/overlay2/9150b17a78e71d837aab18ee21d0590f806fc2394e8004ae98d3a3e08fd9fd8a/diff:/var/lib/docker/overlay2/fe2aacaed37b0e3a3bde650f98ad498cb1001bc29b325ec15da218a102f59c27/diff:/var/lib/docker/overlay2/9213f1a1c6b676c96e7107addfae31f0e8b7c526ce62d8588fcc40c594d9f3da/diff:/var/lib/docker/overlay2/5408abd3ec726f4d055e10fddd8f488a8839c8a355fe1fb064cdc9fee660e07b/diff",
"MergedDir": "/var/lib/docker/overlay2/f41dbd6aa0b6dcc7975fbbbeb85e6658eaa1f306852474b3ea0bb03877b7a67a/merged",
"UpperDir": "/var/lib/docker/overlay2/f41dbd6aa0b6dcc7975fbbbeb85e6658eaa1f306852474b3ea0bb03877b7a67a/diff",
"WorkDir": "/var/lib/docker/overlay2/f41dbd6aa0b6dcc7975fbbbeb85e6658eaa1f306852474b3ea0bb03877b7a67a/work"
},
"Name": "overlay2"
},
"RootFS": {
"Type": "layers",
"Layers": [
"sha256:6c3e7df31590f02f10cb71fc4eb27653e9b428df2e6e5421a455b062bd2e39f9",
"sha256:b1d31bd8950cdcce4594837702f2686c779958b3ccfc037561f949ca62bbb73e",
"sha256:01b2ce3312d7b635d0bc840c8c9eaaba429eaca3224543051b101ca40ad19096",
"sha256:74b8bb426725d8da132fa6f0cb76f85b6b273bafbd6b77be696c59338296ca39",
"sha256:55faa0189df114f1929fe4f61ed8be40b52d7433d74e734fc238b707b01d8981",
"sha256:f20f722b82d6584f1bcfacca653fa0fd3985e8a081b6c4e03ef274f1cb8479fa",
"sha256:ffcd7d36d2822e2c02fd03d14c4863fb2d0c87ec7218889005b872a0c15b65f4",
"sha256:7969e8475f4c39051f8694c656d6d93781f96bdb1ddae0eaf8300f10d4e13ef8",
"sha256:515b7ea03888c763e6931ffa4277c2c409451aa5a77101d33ec0e267b9480964",
"sha256:118b4d0f225ea4282168b0e71b4998c021aa4176d4ce3f3975abb19b78afb713",
"sha256:e237baae0e47449471cf29da2b3da61ed64493d8c310042dfdbb9511e45a1ba0"
]
},
"Metadata": {
"LastTagTime": "2025-01-15T15:18:02.681689443+08:00"
}
}