Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.10.0-gpu-jupyter
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.10.0-gpu-jupyter  docker.io/tensorflow/tensorflow:2.10.0-gpu-jupyter

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.10.0-gpu-jupyter
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.10.0-gpu-jupyter  docker.io/tensorflow/tensorflow:2.10.0-gpu-jupyter

Shell快速替换命令

sed -i 's#tensorflow/tensorflow:2.10.0-gpu-jupyter#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.10.0-gpu-jupyter#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.10.0-gpu-jupyter && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.10.0-gpu-jupyter  docker.io/tensorflow/tensorflow:2.10.0-gpu-jupyter'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.10.0-gpu-jupyter && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.10.0-gpu-jupyter  docker.io/tensorflow/tensorflow:2.10.0-gpu-jupyter'

镜像构建历史

# 2022-09-07 04:13:41  0.00B 
/bin/bash -c #(nop)  CMD ["bash" "-c" "source /etc/bash.bashrc && jupyter notebook --notebook-dir=/tf --ip 0.0.0.0 --no-browser --allow-root"]
                        
# 2022-09-07 04:13:41  3.42KB 
|9 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 TF_PACKAGE=tensorflow TF_PACKAGE_VERSION=2.10.0 /bin/bash -c python3 -m ipykernel.kernelspec
                        
# 2022-09-07 04:13:40  0.00B 
/bin/bash -c #(nop)  EXPOSE 8888
                        
# 2022-09-07 04:13:40  0.00B 
/bin/bash -c #(nop) WORKDIR /tf
                        
# 2022-09-07 04:13:40  1.87MB 
|9 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 TF_PACKAGE=tensorflow TF_PACKAGE_VERSION=2.10.0 /bin/bash -c apt-get autoremove -y && apt-get remove -y wget
                        
# 2022-09-07 04:13:37  69.00B 
/bin/bash -c #(nop) COPY file:771a5d1feaa479d6972f4d612cc687e2e487b16c4ce6359830a25bcdd1a16151 in README.md 
                        
# 2022-09-07 04:13:37  17.83KB 
|9 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 TF_PACKAGE=tensorflow TF_PACKAGE_VERSION=2.10.0 /bin/bash -c wget https://raw.githubusercontent.com/tensorflow/docs/master/site/en/tutorials/keras/text_classification_with_hub.ipynb
                        
# 2022-09-07 04:13:36  37.55KB 
|9 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 TF_PACKAGE=tensorflow TF_PACKAGE_VERSION=2.10.0 /bin/bash -c wget https://raw.githubusercontent.com/tensorflow/docs/master/site/en/tutorials/keras/text_classification.ipynb
                        
# 2022-09-07 04:13:35  27.38KB 
|9 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 TF_PACKAGE=tensorflow TF_PACKAGE_VERSION=2.10.0 /bin/bash -c wget https://raw.githubusercontent.com/tensorflow/docs/master/site/en/tutorials/keras/save_and_load.ipynb
                        
# 2022-09-07 04:13:35  39.71KB 
|9 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 TF_PACKAGE=tensorflow TF_PACKAGE_VERSION=2.10.0 /bin/bash -c wget https://raw.githubusercontent.com/tensorflow/docs/master/site/en/tutorials/keras/regression.ipynb
                        
# 2022-09-07 04:13:34  45.50KB 
|9 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 TF_PACKAGE=tensorflow TF_PACKAGE_VERSION=2.10.0 /bin/bash -c wget https://raw.githubusercontent.com/tensorflow/docs/master/site/en/tutorials/keras/overfit_and_underfit.ipynb
                        
# 2022-09-07 04:13:33  30.89KB 
|9 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 TF_PACKAGE=tensorflow TF_PACKAGE_VERSION=2.10.0 /bin/bash -c wget https://raw.githubusercontent.com/tensorflow/docs/master/site/en/tutorials/keras/classification.ipynb
                        
# 2022-09-07 04:13:33  0.00B 
/bin/bash -c #(nop) WORKDIR /tf/tensorflow-tutorials
                        
# 2022-09-07 04:13:32  36.04MB 
|9 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 TF_PACKAGE=tensorflow TF_PACKAGE_VERSION=2.10.0 /bin/bash -c apt-get update && apt-get install -y --no-install-recommends wget git
                        
# 2022-09-07 04:13:27  0.00B 
|9 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 TF_PACKAGE=tensorflow TF_PACKAGE_VERSION=2.10.0 /bin/bash -c mkdir /.local && chmod a+rwx /.local
                        
# 2022-09-07 04:13:26  0.00B 
|9 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 TF_PACKAGE=tensorflow TF_PACKAGE_VERSION=2.10.0 /bin/bash -c mkdir -p /tf/tensorflow-tutorials && chmod -R a+rwx /tf/
                        
# 2022-09-07 04:13:26  96.00B 
|9 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 TF_PACKAGE=tensorflow TF_PACKAGE_VERSION=2.10.0 /bin/bash -c jupyter serverextension enable --py jupyter_http_over_ws
                        
# 2022-09-07 04:13:25  6.64MB 
|9 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 TF_PACKAGE=tensorflow TF_PACKAGE_VERSION=2.10.0 /bin/bash -c python3 -m pip install --no-cache-dir jupyter_http_over_ws ipykernel==5.1.1 nbformat==4.4.0 jedi==0.17.2
                        
# 2022-09-07 04:13:19  181.90MB 
|9 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 TF_PACKAGE=tensorflow TF_PACKAGE_VERSION=2.10.0 /bin/bash -c python3 -m pip install --no-cache-dir jupyter matplotlib
                        
# 2022-09-07 04:12:48  1.84KB 
|9 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 TF_PACKAGE=tensorflow TF_PACKAGE_VERSION=2.10.0 /bin/bash -c chmod a+rwx /etc/bash.bashrc
                        
# 2022-09-07 04:12:48  1.84KB 
/bin/bash -c #(nop) COPY file:8d4bb213681b66936e970b7417387fa77847a8c72277464035eae2510a23cbf6 in /etc/bash.bashrc 
                        
# 2022-09-07 04:12:41  1.57GB 
|9 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 TF_PACKAGE=tensorflow TF_PACKAGE_VERSION=2.10.0 /bin/bash -c python3 -m pip install --no-cache-dir ${TF_PACKAGE}${TF_PACKAGE_VERSION:+==${TF_PACKAGE_VERSION}}
                        
# 2022-09-07 04:11:50  0.00B 
/bin/bash -c #(nop)  ARG TF_PACKAGE_VERSION=
                        
# 2022-09-07 04:11:50  0.00B 
/bin/bash -c #(nop)  ARG TF_PACKAGE=tensorflow
                        
# 2022-09-07 04:11:50  16.00B 
|7 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 /bin/bash -c ln -s $(which python3) /usr/local/bin/python
                        
# 2022-09-07 04:11:50  14.54MB 
|7 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 /bin/bash -c python3 -m pip --no-cache-dir install --upgrade     "pip<20.3"     setuptools
                        
# 2022-09-07 04:11:44  74.94MB 
|7 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 /bin/bash -c apt-get update && apt-get install -y     python3     python3-pip
                        
# 2022-09-07 04:11:33  0.00B 
/bin/bash -c #(nop)  ENV LANG=C.UTF-8
                        
# 2022-09-07 04:11:33  36.24KB 
|7 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 /bin/bash -c ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1     && echo "/usr/local/cuda/lib64/stubs" > /etc/ld.so.conf.d/z-cuda-stubs.conf     && ldconfig
                        
# 2022-09-07 04:11:33  0.00B 
/bin/bash -c #(nop)  ENV LD_LIBRARY_PATH=/usr/local/cuda-11.0/targets/x86_64-linux/lib:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2022-09-07 04:11:31  514.21MB 
|7 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 /bin/bash -c [[ "${ARCH}" = "ppc64le" ]] || { apt-get update &&         apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub &&         echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 /"  > /etc/apt/sources.list.d/tensorRT.list &&         apt-get update &&         apt-get install -y --no-install-recommends libnvinfer${LIBNVINFER_MAJOR_VERSION}=${LIBNVINFER}+cuda11.0         libnvinfer-plugin${LIBNVINFER_MAJOR_VERSION}=${LIBNVINFER}+cuda11.0         && apt-get clean         && rm -rf /var/lib/apt/lists/*; }
                        
# 2022-09-07 04:10:55  3.67GB 
|7 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 /bin/bash -c apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub &&     apt-get update && apt-get install -y --no-install-recommends         build-essential         cuda-command-line-tools-${CUDA/./-}         libcublas-${CUDA/./-}         cuda-nvrtc-${CUDA/./-}         libcufft-${CUDA/./-}         libcurand-${CUDA/./-}         libcusolver-${CUDA/./-}         libcusparse-${CUDA/./-}         curl         libcudnn8=${CUDNN}+cuda${CUDA}         libfreetype6-dev         libhdf5-serial-dev         libzmq3-dev         pkg-config         software-properties-common         unzip
                        
# 2022-09-07 04:08:17  0.00B 
/bin/bash -c #(nop)  SHELL [/bin/bash -c]
                        
# 2022-09-07 04:08:17  0.00B 
/bin/sh -c #(nop)  ENV DEBIAN_FRONTEND=noninteractive
                        
# 2022-09-07 04:08:17  0.00B 
/bin/sh -c #(nop)  ARG LIBNVINFER_MAJOR_VERSION=7
                        
# 2022-09-07 04:08:17  0.00B 
/bin/sh -c #(nop)  ARG LIBNVINFER=7.2.2-1
                        
# 2022-09-07 04:08:17  0.00B 
/bin/sh -c #(nop)  ARG LIB_DIR_PREFIX=x86_64
                        
# 2022-09-07 04:08:17  0.00B 
/bin/sh -c #(nop)  ARG CUDNN_MAJOR_VERSION=8
                        
# 2022-09-07 04:08:16  0.00B 
/bin/sh -c #(nop)  ARG CUDNN=8.1.0.77-1
                        
# 2022-09-07 04:08:16  0.00B 
/bin/sh -c #(nop)  ARG CUDA
                        
# 2022-09-07 04:08:16  0.00B 
/bin/sh -c #(nop)  ARG ARCH
                        
# 2022-07-12 04:48:56  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2022-07-12 04:48:56  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2022-07-12 04:48:56  16.05KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2022-07-12 04:48:56  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2022-07-12 04:48:56  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
                        
# 2022-07-12 04:48:56  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
                        
# 2022-07-12 04:48:56  33.46MB 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-11-2=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && ln -s cuda-11.2 /usr/local/cuda &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-07-12 04:48:50  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.2.1
                        
# 2022-07-12 04:48:50  18.73MB 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
                        
# 2022-07-12 04:48:50  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-07-12 04:48:50  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-07-12 04:48:50  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-2
                        
# 2022-07-12 04:48:50  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.2.146-1
                        
# 2022-07-12 04:48:50  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.2 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=450,driver<451
                        
# 2022-07-12 04:48:50  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2022-06-07 06:21:12  0.00B 
/bin/sh -c #(nop)  CMD ["bash"]
                        
# 2022-06-07 06:21:11  72.77MB 
/bin/sh -c #(nop) ADD file:00dae10e79b05c4e1a3db053a1f85a4f38a39fe85cbbd88d74201a01a7dd59b5 in / 
                        
                    

镜像信息

{
    "Id": "sha256:cf6cb74c9ec4ff92634514468a6dd2323dead73720b58e1700b9478557668b3d",
    "RepoTags": [
        "tensorflow/tensorflow:2.10.0-gpu-jupyter",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.10.0-gpu-jupyter"
    ],
    "RepoDigests": [
        "tensorflow/tensorflow@sha256:a72deb34d32e26cf4253608b0e86ebb4e5079633380c279418afb5a131c499d6",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow@sha256:a72deb34d32e26cf4253608b0e86ebb4e5079633380c279418afb5a131c499d6"
    ],
    "Parent": "",
    "Comment": "",
    "Created": "2022-09-06T20:13:41.948988501Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "20.10.14",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "8888/tcp": {}
        },
        "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=11.2 brand=tesla,driver\u003e=418,driver\u003c419 brand=tesla,driver\u003e=450,driver\u003c451",
            "NV_CUDA_CUDART_VERSION=11.2.146-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-2",
            "CUDA_VERSION=11.2.1",
            "LD_LIBRARY_PATH=/usr/local/cuda-11.0/targets/x86_64-linux/lib:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "DEBIAN_FRONTEND=noninteractive",
            "LANG=C.UTF-8"
        ],
        "Cmd": [
            "bash",
            "-c",
            "source /etc/bash.bashrc \u0026\u0026 jupyter notebook --notebook-dir=/tf --ip 0.0.0.0 --no-browser --allow-root"
        ],
        "Image": "sha256:fd08fd4a7436b4b92f9df0f493f7ff1e6d427836222044305d97c5ab04c3ce3d",
        "Volumes": null,
        "WorkingDir": "/tf",
        "Entrypoint": null,
        "OnBuild": null,
        "Labels": {
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e"
        },
        "Shell": [
            "/bin/bash",
            "-c"
        ]
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 6193370309,
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