镜像构建历史
# 2023-11-10 14:34:54 1.15GB 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} && apt-mark hold ${NV_CUDNN_PACKAGE_NAME} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 14:34:54 0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=8.8.0.121
# 2023-11-10 14:34:54 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 14:34:54 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 14:34:54 0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn8=8.8.0.121-1+cuda12.0
# 2023-11-10 14:34:54 0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
# 2023-11-10 14:34:54 0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=8.8.0.121
# 2023-11-10 14:07:02 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2023-11-10 14:07:02 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2023-11-10 14:07:02 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2023-11-10 14:07:01 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 14:07:01 261.42KB 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} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
# 2023-11-10 14:07:00 2.23GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-0=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-12-0=${NV_NVTX_VERSION} libcusparse-12-0=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 14:07:00 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 14:07:00 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 14:07:00 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.16.5-1+cuda12.0
# 2023-11-10 14:07:00 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.16.5-1
# 2023-11-10 14:07:00 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.16.5-1
# 2023-11-10 14:07:00 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2023-11-10 14:07:00 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-0=12.0.2.224-1
# 2023-11-10 14:07:00 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.0.2.224-1
# 2023-11-10 14:07:00 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-0
# 2023-11-10 14:07:00 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.0.1.140-1
# 2023-11-10 14:07:00 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-0=12.0.1.104-1
# 2023-11-10 14:07:00 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.0.1.104-1
# 2023-11-10 14:07:00 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.0.140-1
# 2023-11-10 14:07:00 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.0.1-1
# 2023-11-10 14:02:15 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2023-11-10 14:02:15 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2023-11-10 14:02:15 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2023-11-10 14:02:15 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 14:02:15 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 14:02:15 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 14:02:14 148.48MB 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-12-0=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 14:02:00 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.0.1
# 2023-11-10 14:02:00 10.56MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.0-1_all.deb && dpkg -i cuda-keyring_1.0-1_all.deb && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 14:02:00 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 14:02:00 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 14:02:00 0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-0
# 2023-11-10 14:02:00 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.0.146-1
# 2023-11-10 14:02:00 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>=12.0 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 14:02:00 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2023-10-05 15:33:32 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2023-10-05 15:33:32 77.82MB
/bin/sh -c #(nop) ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in /
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
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"RepoTags": [
"nvidia/cuda:12.0.1-cudnn8-runtime-ubuntu22.04",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.0.1-cudnn8-runtime-ubuntu22.04"
],
"RepoDigests": [
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"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda@sha256:920bbe49d3bc605b6b380e84fdc8e24783d6f12828c31b82f8dc8dc6de3b6275"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2023-11-10T06:34:54.735994848Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"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=12.0 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=12.0.146-1",
"NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-0",
"CUDA_VERSION=12.0.1",
"LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
"NVIDIA_VISIBLE_DEVICES=all",
"NVIDIA_DRIVER_CAPABILITIES=compute,utility",
"NV_CUDA_LIB_VERSION=12.0.1-1",
"NV_NVTX_VERSION=12.0.140-1",
"NV_LIBNPP_VERSION=12.0.1.104-1",
"NV_LIBNPP_PACKAGE=libnpp-12-0=12.0.1.104-1",
"NV_LIBCUSPARSE_VERSION=12.0.1.140-1",
"NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-0",
"NV_LIBCUBLAS_VERSION=12.0.2.224-1",
"NV_LIBCUBLAS_PACKAGE=libcublas-12-0=12.0.2.224-1",
"NV_LIBNCCL_PACKAGE_NAME=libnccl2",
"NV_LIBNCCL_PACKAGE_VERSION=2.16.5-1",
"NCCL_VERSION=2.16.5-1",
"NV_LIBNCCL_PACKAGE=libnccl2=2.16.5-1+cuda12.0",
"NVIDIA_PRODUCT_NAME=CUDA",
"NV_CUDNN_VERSION=8.8.0.121",
"NV_CUDNN_PACKAGE_NAME=libcudnn8",
"NV_CUDNN_PACKAGE=libcudnn8=8.8.0.121-1+cuda12.0"
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"Entrypoint": [
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"OnBuild": null,
"Labels": {
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"maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
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"Os": "linux",
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"GraphDriver": {
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