镜像构建历史
# 2022-10-29 01:13:08 0.00B 设置工作目录为/workspace
WORKDIR /workspace
# 2022-10-29 01:13:07 0.00B 设置环境变量 PYTORCH_VERSION
ENV PYTORCH_VERSION=v1.13.0
# 2022-10-29 01:13:07 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2022-10-29 01:13:07 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2022-10-29 01:13:07 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2022-10-29 01:13:07 0.00B 设置环境变量 PATH
ENV PATH=/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2022-10-29 01:13:07 10.91GB 复制新文件或目录到容器中
COPY /opt/conda /opt/conda # buildkit
# 2022-10-29 00:56:10 2.99MB 执行命令并创建新的镜像层
RUN |1 PYTORCH_VERSION=v1.13.0 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends ca-certificates libjpeg-dev libpng-dev && rm -rf /var/lib/apt/lists/* # buildkit
# 2022-10-29 00:56:10 0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver
# 2022-10-29 00:56:10 0.00B 定义构建参数
ARG PYTORCH_VERSION
# 2022-10-28 11:32:39 2.81GB 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 ${NV_CUDNN_PACKAGE} ${NV_CUDNN_PACKAGE_DEV} && apt-mark hold ${NV_CUDNN_PACKAGE_NAME} && rm -rf /var/lib/apt/lists/* # buildkit
# 2022-10-28 11:32:39 0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=8.4.0.27
# 2022-10-28 11:32:39 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2022-10-28 11:32:39 0.00B 定义构建参数
ARG TARGETARCH
# 2022-10-28 11:32:39 0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV
ENV NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.4.0.27-1+cuda11.6
# 2022-10-28 11:32:39 0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn8=8.4.0.27-1+cuda11.6
# 2022-10-28 11:32:39 0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
# 2022-10-28 11:32:39 0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=8.4.0.27
# 2022-10-28 07:20:17 0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
# 2022-10-28 07:20:17 371.24KB 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} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
# 2022-10-28 07:20:16 2.81GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-11-6=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-11-6=${NV_CUDA_LIB_VERSION} cuda-minimal-build-11-6=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-11-6=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-11-6=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-11-6=${NV_LIBCUSPARSE_DEV_VERSION} ${NV_LIBCUBLAS_DEV_PACKAGE} ${NV_LIBNCCL_DEV_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2022-10-28 07:20:16 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2022-10-28 07:20:16 0.00B 定义构建参数
ARG TARGETARCH
# 2022-10-28 07:20:16 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.12.10-1+cuda11.6
# 2022-10-28 07:20:16 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.12.10-1
# 2022-10-28 07:20:16 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.12.10-1
# 2022-10-28 07:20:16 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
# 2022-10-28 07:20:16 0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-6=11.6.124-1
# 2022-10-28 07:20:16 0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=11.6.124-1
# 2022-10-28 07:20:16 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-6=11.9.2.110-1
# 2022-10-28 07:20:16 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-6
# 2022-10-28 07:20:16 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=11.9.2.110-1
# 2022-10-28 07:20:16 0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-6=11.6.3.124-1
# 2022-10-28 07:20:16 0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=11.6.3.124-1
# 2022-10-28 07:20:16 0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=11.7.2.124-1
# 2022-10-28 07:20:16 0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=11.6.55-1
# 2022-10-28 07:20:16 0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=11.6.55-1
# 2022-10-28 07:20:16 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.6.2-1
# 2022-10-28 07:10:11 258.48KB 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} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
# 2022-10-28 07:10:11 1.89GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-11-6=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-11-6=${NV_NVTX_VERSION} libcusparse-11-6=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2022-10-28 07:10:11 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2022-10-28 07:10:11 0.00B 定义构建参数
ARG TARGETARCH
# 2022-10-28 07:10:11 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.12.10-1+cuda11.6
# 2022-10-28 07:10:11 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.12.10-1
# 2022-10-28 07:10:11 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.12.10-1
# 2022-10-28 07:10:11 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2022-10-28 07:10:11 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-6=11.9.2.110-1
# 2022-10-28 07:10:11 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.9.2.110-1
# 2022-10-28 07:10:11 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-6
# 2022-10-28 07:10:11 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=11.7.2.124-1
# 2022-10-28 07:10:11 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-11-6=11.6.3.124-1
# 2022-10-28 07:10:11 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.6.3.124-1
# 2022-10-28 07:10:11 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.6.124-1
# 2022-10-28 07:10:11 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.6.2-1
# 2022-10-28 07:05:16 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2022-10-28 07:05:16 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2022-10-28 07:05:16 16.05KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2022-10-28 07:05:16 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2022-10-28 07:05:16 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
# 2022-10-28 07:05:16 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
# 2022-10-28 07:05:16 62.89MB 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-11-6=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && ln -s cuda-11.6 /usr/local/cuda && rm -rf /var/lib/apt/lists/* # buildkit
# 2022-10-28 07:05:02 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.6.2
# 2022-10-28 07:05:02 16.54MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/${NVARCH}/3bf863cc.pub | apt-key add - && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
# 2022-10-28 07:05:02 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2022-10-28 07:05:02 0.00B 定义构建参数
ARG TARGETARCH
# 2022-10-28 07:05:02 0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-6
# 2022-10-28 07:05:02 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.6.55-1
# 2022-10-28 07:05:02 0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.6 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=450,driver<451 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
# 2022-10-28 07:05:02 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2022-10-25 09:53:28 0.00B
/bin/sh -c #(nop) CMD ["bash"]
# 2022-10-25 09:53:28 63.15MB
/bin/sh -c #(nop) ADD file:fc5d658c47ede58827812b75a311353be776e41e2dd339b8906839527c9b5247 in /
镜像信息
{
"Id": "sha256:632278b723126cc8119ed651bdf5614dcc3460976b3f513d43ae33ed839dc94b",
"RepoTags": [
"pytorch/pytorch:1.13.0-cuda11.6-cudnn8-devel",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:1.13.0-cuda11.6-cudnn8-devel"
],
"RepoDigests": [
"pytorch/pytorch@sha256:d98a1b1f61166875882e5a3ffa63bdef89c3349ceca1954dda415c5cd67e06a0",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch@sha256:d98a1b1f61166875882e5a3ffa63bdef89c3349ceca1954dda415c5cd67e06a0"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2022-10-28T10:13:08.371420506-07:00",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
"PATH=/opt/conda/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=11.6 brand=tesla,driver\u003e=418,driver\u003c419 brand=tesla,driver\u003e=450,driver\u003c451 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=11.6.55-1",
"NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-6",
"CUDA_VERSION=11.6.2",
"LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
"NVIDIA_VISIBLE_DEVICES=all",
"NVIDIA_DRIVER_CAPABILITIES=compute,utility",
"NV_CUDA_LIB_VERSION=11.6.2-1",
"NV_NVTX_VERSION=11.6.124-1",
"NV_LIBNPP_VERSION=11.6.3.124-1",
"NV_LIBNPP_PACKAGE=libnpp-11-6=11.6.3.124-1",
"NV_LIBCUSPARSE_VERSION=11.7.2.124-1",
"NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-6",
"NV_LIBCUBLAS_VERSION=11.9.2.110-1",
"NV_LIBCUBLAS_PACKAGE=libcublas-11-6=11.9.2.110-1",
"NV_LIBNCCL_PACKAGE_NAME=libnccl2",
"NV_LIBNCCL_PACKAGE_VERSION=2.12.10-1",
"NCCL_VERSION=2.12.10-1",
"NV_LIBNCCL_PACKAGE=libnccl2=2.12.10-1+cuda11.6",
"NV_CUDA_CUDART_DEV_VERSION=11.6.55-1",
"NV_NVML_DEV_VERSION=11.6.55-1",
"NV_LIBCUSPARSE_DEV_VERSION=11.7.2.124-1",
"NV_LIBNPP_DEV_VERSION=11.6.3.124-1",
"NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-6=11.6.3.124-1",
"NV_LIBCUBLAS_DEV_VERSION=11.9.2.110-1",
"NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-6",
"NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-6=11.9.2.110-1",
"NV_NVPROF_VERSION=11.6.124-1",
"NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-6=11.6.124-1",
"NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev",
"NV_LIBNCCL_DEV_PACKAGE_VERSION=2.12.10-1",
"NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.12.10-1+cuda11.6",
"LIBRARY_PATH=/usr/local/cuda/lib64/stubs",
"NV_CUDNN_VERSION=8.4.0.27",
"NV_CUDNN_PACKAGE_NAME=libcudnn8",
"NV_CUDNN_PACKAGE=libcudnn8=8.4.0.27-1+cuda11.6",
"NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.4.0.27-1+cuda11.6",
"PYTORCH_VERSION=v1.13.0"
],
"Cmd": [
"bash"
],
"Image": "",
"Volumes": null,
"WorkingDir": "/workspace",
"Entrypoint": null,
"OnBuild": null,
"Labels": {
"com.nvidia.cudnn.version": "8.4.0.27",
"com.nvidia.volumes.needed": "nvidia_driver",
"maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e"
}
},
"Architecture": "amd64",
"Os": "linux",
"Size": 18568243041,
"GraphDriver": {
"Data": {
"LowerDir": "/var/lib/docker/overlay2/597f73481c24ff1e114841bdfe20b93122609b5523fba5f8aabadea0c6b72549/diff:/var/lib/docker/overlay2/5c2b2a0e87047cdaeaab477b0f294a8c4ae64d14beef342ce9bc43922ac3b353/diff:/var/lib/docker/overlay2/ff38e174e3069f051f97b80a77605aa1b6d6ae7b145f2123fcf8a70ad323ba10/diff:/var/lib/docker/overlay2/a00c10aeb1bab7f600c6848a1458168ff167193f218a5d4c2b8eed1c74b8e48d/diff:/var/lib/docker/overlay2/6fcf4fcec29f8dd6768dfaae833097ee4e05149abd09a4f516b21e3edc709826/diff:/var/lib/docker/overlay2/456b66c0c77ba3de824c20ee71460bf3e1a3afe752d533a79b0c202f80416d48/diff:/var/lib/docker/overlay2/1c09351e42c7f13272d93175f22b16c5f28fce4f857d968f654d45a906f2f284/diff:/var/lib/docker/overlay2/d20a9bb5ece0bd0fd60d2d1239fb0687ee80576c6bdc82d53ae0e5616229300b/diff:/var/lib/docker/overlay2/af7e01f0c5389ceee8418ef321bfc94b943c92987fa4a4555d453dff45f6c938/diff:/var/lib/docker/overlay2/fe103eabf977f4c58b605d631c45f39fd727a8cfeb16387d8b283f6dd01f9ecb/diff:/var/lib/docker/overlay2/21340223f4aae0de173f5116264fdceda4ad8cd3b8df6b5225141485a9590a27/diff:/var/lib/docker/overlay2/953dee7bfef9ef08fee25d4ffb9151eae158bfc6be170ebae8cabd06b81e462e/diff",
"MergedDir": "/var/lib/docker/overlay2/57cebd6f1d7610ce8c04fa0115668f59c982c1b7f9789578b2910f88395050d7/merged",
"UpperDir": "/var/lib/docker/overlay2/57cebd6f1d7610ce8c04fa0115668f59c982c1b7f9789578b2910f88395050d7/diff",
"WorkDir": "/var/lib/docker/overlay2/57cebd6f1d7610ce8c04fa0115668f59c982c1b7f9789578b2910f88395050d7/work"
},
"Name": "overlay2"
},
"RootFS": {
"Type": "layers",
"Layers": [
"sha256:69f57fbceb1b420d7e4697e0f6514887b0805ee0059bea7d51e0a832962e74bf",
"sha256:0d2471688ef0fa7a42a299f586a0ac48d52478005692e9d005ee0ff2f49978d7",
"sha256:378d7e76c8be7d5393a8e3b78511c58a3cd71a7d5e146d4c12b30bbe4076bdf8",
"sha256:b13dcfb383767e6c5d66e1680cbf914b8100508c6edc022caaf28b1f172c6127",
"sha256:834e6b11fb5a0d2daa0d1b35b17f208af5d93051994cb7373abc97c2f9f062cf",
"sha256:f4bc0a2885473af6410fab5c2dc0210e06cc0fb0539c480f3376fe7701f64bfd",
"sha256:37c1c158a06ef6d89f5a987970d8fa8e0cd6b9c42b03071430985dccd13b29c5",
"sha256:2c8049a7fdab1fd333766b8c9f2c46b1c31099fab53384b281a7e519c48443c9",
"sha256:fc92110896f356b9527f95fe80e0582c869f2948271d97a737244d319c0e2d62",
"sha256:8ff7037e1e7d558871a6a83e842f9a6282199475826c10500754317e31ed95e6",
"sha256:a875d2f99f5d99f2c560d02871600a18db073654b2762d9ba785d41296f3ceb6",
"sha256:f5d1eacd2720eb4cbef88e0a49f2f300f338c4d8f1e94376046e5d005d240aad",
"sha256:d8649fa33948f076fb59bd2e80a32ab2aa0c8ab6500100f10aab1daf797f5e14"
]
},
"Metadata": {
"LastTagTime": "2025-11-10T00:24:39.149524739+08:00"
}
}