docker.io/chrischoy/minkowski_engine:latest linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chrischoy/minkowski_engine:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chrischoy/minkowski_engine:latest  docker.io/chrischoy/minkowski_engine:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chrischoy/minkowski_engine:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chrischoy/minkowski_engine:latest  docker.io/chrischoy/minkowski_engine:latest

Shell快速替换命令

sed -i 's#chrischoy/minkowski_engine:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chrischoy/minkowski_engine:latest#' 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/chrischoy/minkowski_engine:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chrischoy/minkowski_engine:latest  docker.io/chrischoy/minkowski_engine:latest'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chrischoy/minkowski_engine:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chrischoy/minkowski_engine:latest  docker.io/chrischoy/minkowski_engine:latest'

镜像构建历史

# 2022-10-27 04:18:25  214.44MB 
/bin/sh -c cd MinkowskiEngine; python setup.py install --force_cuda --blas=openblas
                        
# 2022-10-27 04:03:30  23.36MB 
/bin/sh -c git clone --recursive "https://github.com/NVIDIA/MinkowskiEngine"
                        
# 2022-10-27 04:03:27  0.00B 
/bin/sh -c #(nop)  ENV MAX_JOBS=4
                        
# 2022-10-27 04:03:27  0.00B 
/bin/sh -c rm -rf /var/lib/apt/lists/*
                        
# 2022-10-27 04:03:26  0.00B 
/bin/sh -c apt-get clean
                        
# 2022-10-27 04:03:24  833.89MB 
/bin/sh -c apt-get install -y git ninja-build cmake build-essential libopenblas-dev     xterm xauth openssh-server tmux wget mate-desktop-environment-core
                        
# 2022-10-27 04:02:01  44.31MB 
/bin/sh -c apt-get update
                        
# 2022-10-27 04:01:55  0.00B 
/bin/sh -c #(nop)  ENV TORCH_NVCC_FLAGS=-Xfatbin -compress-all
                        
# 2022-10-27 04:01:55  0.00B 
/bin/sh -c #(nop)  ENV TORCH_CUDA_ARCH_LIST=6.0 6.1 6.2 7.0 7.2 7.5 8.0 8.6
                        
# 2022-06-29 00:48:00  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2022-06-29 00:47:59  0.00B 设置环境变量 PYTORCH_VERSION
ENV PYTORCH_VERSION=v1.12.0
                        
# 2022-06-29 00:47:59  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2022-06-29 00:47:59  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2022-06-29 00:47:59  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2022-06-29 00:47:59  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
                        
# 2022-06-29 00:47:59  5.83GB 复制新文件或目录到容器中
COPY /opt/conda /opt/conda # buildkit
                        
# 2022-06-29 00:38:07  4.52MB 执行命令并创建新的镜像层
RUN |1 PYTORCH_VERSION=v1.12.0 /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
                        
# 2022-06-29 00:38:07  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver
                        
# 2022-06-29 00:38:07  0.00B 定义构建参数
ARG PYTORCH_VERSION
                        
# 2022-05-20 14:55:11  4.02GB 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
                        
# 2022-05-20 14:55:11  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=8.2.0.53
                        
# 2022-05-20 14:55:11  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-05-20 14:55:11  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-05-20 14:55:11  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
                        
# 2022-05-20 14:55:11  0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV
ENV NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.2.0.53-1+cuda11.3
                        
# 2022-05-20 14:55:11  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn8=8.2.0.53-1+cuda11.3
                        
# 2022-05-20 14:55:11  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=8.2.0.53
                        
# 2022-05-20 14:41:38  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2022-05-20 14:41:38  367.10KB 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
                        
# 2022-05-20 14:41:37  2.36GB 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-11-3=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-11-3=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-11-3=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-11-3=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-11-3=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-11-3=${NV_LIBCUSPARSE_DEV_VERSION}     ${NV_LIBCUBLAS_DEV_PACKAGE}     ${NV_LIBNCCL_DEV_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-05-20 14:41:37  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-05-20 14:41:37  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-05-20 14:41:37  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.9.9-1+cuda11.3
                        
# 2022-05-20 14:41:37  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.9.9-1
                        
# 2022-05-20 14:41:37  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.9.9-1
                        
# 2022-05-20 14:41:37  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2022-05-20 14:41:37  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-3=11.3.111-1
                        
# 2022-05-20 14:41:37  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=11.3.111-1
                        
# 2022-05-20 14:41:37  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-3=11.5.1.109-1
                        
# 2022-05-20 14:41:37  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-3
                        
# 2022-05-20 14:41:37  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=11.5.1.109-1
                        
# 2022-05-20 14:41:37  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-3=11.3.3.95-1
                        
# 2022-05-20 14:41:37  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=11.3.3.95-1
                        
# 2022-05-20 14:41:37  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=11.6.0.109-1
                        
# 2022-05-20 14:41:37  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=11.3.58-1
                        
# 2022-05-20 14:41:37  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=11.3.109-1
                        
# 2022-05-20 14:41:37  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.3.1-1
                        
# 2022-05-20 14:34:48  255.32KB 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
                        
# 2022-05-20 14:34:48  1.74GB 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-11-3=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-11-3=${NV_NVTX_VERSION}     libcusparse-11-3=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-05-20 14:34:48  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-05-20 14:34:48  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-05-20 14:34:48  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.9.9-1+cuda11.3
                        
# 2022-05-20 14:34:48  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.9.9-1
                        
# 2022-05-20 14:34:48  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.9.9-1
                        
# 2022-05-20 14:34:48  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2022-05-20 14:34:48  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-3=11.5.1.109-1
                        
# 2022-05-20 14:34:48  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.5.1.109-1
                        
# 2022-05-20 14:34:48  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-3
                        
# 2022-05-20 14:34:48  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=11.6.0.109-1
                        
# 2022-05-20 14:34:48  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-11-3=11.3.3.95-1
                        
# 2022-05-20 14:34:48  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.3.3.95-1
                        
# 2022-05-20 14:34:48  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.3.109-1
                        
# 2022-05-20 14:34:48  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.3.1-1
                        
# 2022-05-20 14:31:18  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2022-05-20 14:31:18  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2022-05-20 14:31:18  16.05KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2022-05-20 14:31:18  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2022-05-20 14:31:18  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
                        
# 2022-05-20 14:31:18  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
                        
# 2022-05-20 14:31:17  34.25MB 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-11-3=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && ln -s cuda-11.3 /usr/local/cuda &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-05-20 14:31:07  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.3.1
                        
# 2022-05-20 14:31:07  16.53MB 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
                        
# 2022-05-20 14:31:07  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-05-20 14:31:07  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-05-20 14:31:07  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-3
                        
# 2022-05-20 14:31:07  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.3.109-1
                        
# 2022-05-20 14:31:07  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand driver>
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.3 brand=tesla,driver>=418,driver<419 driver>=450
                        
# 2022-05-20 14:31:07  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2022-04-30 07:20:51  0.00B 
/bin/sh -c #(nop)  CMD ["bash"]
                        
# 2022-04-30 07:20:51  63.15MB 
/bin/sh -c #(nop) ADD file:f657a56a18426c3a88d620a7024e7b91424d926e7b47faa6a97c2369c4c4a228 in / 
                        
                    

镜像信息

{
    "Id": "sha256:c5b6c8777e89f49cde0d53bf1d0a76325e7f4bedaf890fe26911599ab25bba80",
    "RepoTags": [
        "chrischoy/minkowski_engine:latest",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chrischoy/minkowski_engine:latest"
    ],
    "RepoDigests": [
        "chrischoy/minkowski_engine@sha256:d6302224b565f477d9d899255af7809c85c6947bf6179929b7abb7f50ce76633",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chrischoy/minkowski_engine@sha256:d6302224b565f477d9d899255af7809c85c6947bf6179929b7abb7f50ce76633"
    ],
    "Parent": "",
    "Comment": "",
    "Created": "2022-10-26T20:18:25.904253853Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "20.10.15",
    "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=11.3 brand=tesla,driver\u003e=418,driver\u003c419 driver\u003e=450",
            "NV_CUDA_CUDART_VERSION=11.3.109-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-3",
            "CUDA_VERSION=11.3.1",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=11.3.1-1",
            "NV_NVTX_VERSION=11.3.109-1",
            "NV_LIBNPP_VERSION=11.3.3.95-1",
            "NV_LIBNPP_PACKAGE=libnpp-11-3=11.3.3.95-1",
            "NV_LIBCUSPARSE_VERSION=11.6.0.109-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-3",
            "NV_LIBCUBLAS_VERSION=11.5.1.109-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-11-3=11.5.1.109-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.9.9-1",
            "NCCL_VERSION=2.9.9-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.9.9-1+cuda11.3",
            "NV_CUDA_CUDART_DEV_VERSION=11.3.109-1",
            "NV_NVML_DEV_VERSION=11.3.58-1",
            "NV_LIBCUSPARSE_DEV_VERSION=11.6.0.109-1",
            "NV_LIBNPP_DEV_VERSION=11.3.3.95-1",
            "NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-3=11.3.3.95-1",
            "NV_LIBCUBLAS_DEV_VERSION=11.5.1.109-1",
            "NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-3",
            "NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-3=11.5.1.109-1",
            "NV_NVPROF_VERSION=11.3.111-1",
            "NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-3=11.3.111-1",
            "NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev",
            "NV_LIBNCCL_DEV_PACKAGE_VERSION=2.9.9-1",
            "NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.9.9-1+cuda11.3",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs",
            "NV_CUDNN_VERSION=8.2.0.53",
            "NV_CUDNN_PACKAGE=libcudnn8=8.2.0.53-1+cuda11.3",
            "NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.2.0.53-1+cuda11.3",
            "NV_CUDNN_PACKAGE_NAME=libcudnn8",
            "PYTORCH_VERSION=v1.12.0",
            "TORCH_CUDA_ARCH_LIST=6.0 6.1 6.2 7.0 7.2 7.5 8.0 8.6",
            "TORCH_NVCC_FLAGS=-Xfatbin -compress-all",
            "MAX_JOBS=4"
        ],
        "Cmd": [
            "bash"
        ],
        "Image": "sha256:fd5cb49f13e4cf029c905991c8b2b5aef1ccc8bdc6006674ed963ff42d1289cc",
        "Volumes": null,
        "WorkingDir": "/workspace",
        "Entrypoint": null,
        "OnBuild": null,
        "Labels": {
            "com.nvidia.cudnn.version": "8.2.0.53",
            "com.nvidia.volumes.needed": "nvidia_driver",
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 15178466547,
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