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
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"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": [
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"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": "",
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"DockerVersion": "",
"Author": "",
"Config": {
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"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
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"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",
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"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"
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