镜像构建历史
# 2020-10-28 00:31:58 0.00B 设置工作目录为/workspace
WORKDIR /workspace
# 2020-10-28 00:31:58 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2020-10-28 00:31:58 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2020-10-28 00:31:58 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2020-10-28 00:31:58 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
# 2020-10-28 00:31:58 4.56GB 复制新文件或目录到容器中
COPY /opt/conda /opt/conda # buildkit
# 2020-10-28 00:26:14 3.48MB 执行命令并创建新的镜像层
RUN /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
# 2020-10-28 00:26:14 0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver
# 2020-10-10 11:02:54 3.68GB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends libcudnn8=$CUDNN_VERSION-1+cuda11.0 libcudnn8-dev=$CUDNN_VERSION-1+cuda11.0 && apt-mark hold libcudnn8 && rm -rf /var/lib/apt/lists/* # buildkit
# 2020-10-10 11:02:54 0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=8.0.4.30
# 2020-10-10 11:02:54 0.00B 设置环境变量 CUDNN_VERSION
ENV CUDNN_VERSION=8.0.4.30
# 2020-10-10 11:02:54 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2020-10-10 10:55:40 0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
# 2020-10-10 10:55:40 1.80GB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-nvml-dev-11-0=11.0.167-1 cuda-command-line-tools-11-0=11.0.3-1 cuda-nvprof-11-0=11.0.221-1 libnpp-dev-11-0=11.1.0.245-1 cuda-libraries-dev-11-0=11.0.3-1 cuda-minimal-build-11-0=11.0.3-1 libnccl-dev=2.7.8-1+cuda11.0 libcublas-dev-11-0=11.2.0.252-1 libcusparse-11-0=11.1.1.245-1 libcusparse-dev-11-0=11.1.1.245-1 && apt-mark hold libnccl-dev && rm -rf /var/lib/apt/lists/* # buildkit
# 2020-10-10 10:55:40 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.7.8
# 2020-10-10 10:55:40 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2020-10-10 10:52:39 1.83GB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-11-0=11.0.3-1 libnpp-11-0=11.1.0.245-1 cuda-nvtx-11-0=11.0.167-1 libcublas-11-0=11.2.0.252-1 libnccl2=$NCCL_VERSION-1+cuda11.0 && apt-mark hold libnccl2 && rm -rf /var/lib/apt/lists/* # buildkit
# 2020-10-10 10:52:39 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.7.8
# 2020-10-10 10:52:39 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2020-10-01 10:03:49 0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.0 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=440,driver<441 brand=tesla,driver>=450,driver<451
# 2020-10-01 10:03:49 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2020-10-01 10:03:49 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2020-10-01 10:03:49 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2020-10-01 10:03:49 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
# 2020-10-01 10:03:49 46.00B 执行命令并创建新的镜像层
RUN /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
# 2020-10-01 10:03:49 30.45MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-11-0=11.0.221-1 cuda-compat-11-0 && ln -s cuda-11.0 /usr/local/cuda && rm -rf /var/lib/apt/lists/* # buildkit
# 2020-10-03 02:58:17 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.0.3
# 2020-10-03 02:58:17 16.52MB 执行命令并创建新的镜像层
RUN /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/x86_64/7fa2af80.pub | apt-key add - && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 /" > /etc/apt/sources.list.d/cuda.list && echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
# 2020-10-03 02:58:17 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2020-09-26 06:33:52 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2020-09-26 06:33:52 7.00B
/bin/sh -c mkdir -p /run/systemd && echo 'docker' > /run/systemd/container
# 2020-09-26 06:33:51 0.00B
/bin/sh -c [ -z "$(apt-get indextargets)" ]
# 2020-09-26 06:33:50 745.00B
/bin/sh -c set -xe && echo '#!/bin/sh' > /usr/sbin/policy-rc.d && echo 'exit 101' >> /usr/sbin/policy-rc.d && chmod +x /usr/sbin/policy-rc.d && dpkg-divert --local --rename --add /sbin/initctl && cp -a /usr/sbin/policy-rc.d /sbin/initctl && sed -i 's/^exit.*/exit 0/' /sbin/initctl && echo 'force-unsafe-io' > /etc/dpkg/dpkg.cfg.d/docker-apt-speedup && echo 'DPkg::Post-Invoke { "rm -f /var/cache/apt/archives/*.deb /var/cache/apt/archives/partial/*.deb /var/cache/apt/*.bin || true"; };' > /etc/apt/apt.conf.d/docker-clean && echo 'APT::Update::Post-Invoke { "rm -f /var/cache/apt/archives/*.deb /var/cache/apt/archives/partial/*.deb /var/cache/apt/*.bin || true"; };' >> /etc/apt/apt.conf.d/docker-clean && echo 'Dir::Cache::pkgcache ""; Dir::Cache::srcpkgcache "";' >> /etc/apt/apt.conf.d/docker-clean && echo 'Acquire::Languages "none";' > /etc/apt/apt.conf.d/docker-no-languages && echo 'Acquire::GzipIndexes "true"; Acquire::CompressionTypes::Order:: "gz";' > /etc/apt/apt.conf.d/docker-gzip-indexes && echo 'Apt::AutoRemove::SuggestsImportant "false";' > /etc/apt/apt.conf.d/docker-autoremove-suggests
# 2020-09-26 06:33:49 63.24MB
/bin/sh -c #(nop) ADD file:4974bb5483c392fb54a35f3799802d623d14632747493dce5feb4d435634b4ac in /
镜像信息
{
"Id": "sha256:f20d42e5d606f02b790edccc1e6741e0f287ee705a94998fd50c160e96301823",
"RepoTags": [
"pytorch/pytorch:1.7.0-cuda11.0-cudnn8-devel",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:1.7.0-cuda11.0-cudnn8-devel"
],
"RepoDigests": [
"pytorch/pytorch@sha256:837e6964e5db6e5b35f4d5e98e9cac073ab757766039b9503f39c14beafb0e98",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch@sha256:837e6964e5db6e5b35f4d5e98e9cac073ab757766039b9503f39c14beafb0e98"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2020-10-27T09:31:58.886767878-07:00",
"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",
"CUDA_VERSION=11.0.3",
"LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
"NVIDIA_VISIBLE_DEVICES=all",
"NVIDIA_DRIVER_CAPABILITIES=compute,utility",
"NVIDIA_REQUIRE_CUDA=cuda\u003e=11.0 brand=tesla,driver\u003e=418,driver\u003c419 brand=tesla,driver\u003e=440,driver\u003c441 brand=tesla,driver\u003e=450,driver\u003c451",
"NCCL_VERSION=2.7.8",
"LIBRARY_PATH=/usr/local/cuda/lib64/stubs",
"CUDNN_VERSION=8.0.4.30"
],
"Cmd": [
"/bin/bash"
],
"ArgsEscaped": true,
"Image": "",
"Volumes": null,
"WorkingDir": "/workspace",
"Entrypoint": null,
"OnBuild": null,
"Labels": {
"com.nvidia.cudnn.version": "8.0.4.30",
"com.nvidia.volumes.needed": "nvidia_driver",
"maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e"
}
},
"Architecture": "amd64",
"Os": "linux",
"Size": 11974626568,
"GraphDriver": {
"Data": {
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"MergedDir": "/var/lib/docker/overlay2/1f9fe8b1807db45bf4f198c2325158f3632a3c2c0f69d2ab2c62fd15cbd9d53d/merged",
"UpperDir": "/var/lib/docker/overlay2/1f9fe8b1807db45bf4f198c2325158f3632a3c2c0f69d2ab2c62fd15cbd9d53d/diff",
"WorkDir": "/var/lib/docker/overlay2/1f9fe8b1807db45bf4f198c2325158f3632a3c2c0f69d2ab2c62fd15cbd9d53d/work"
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"Name": "overlay2"
},
"RootFS": {
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"Metadata": {
"LastTagTime": "2025-12-16T02:33:19.275980357+08:00"
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