docker.io/pytorch/pytorch:2.1.0-cuda11.8-cudnn8-devel linux/amd64

docker.io/pytorch/pytorch:2.1.0-cuda11.8-cudnn8-devel - 国内下载镜像源 浏览次数:53 安全受验证的发布者-Pytorch

PyTorch是一个深度学习框架,旨在简化机器学习算法的实现和部署。该镜像提供了一个基于Python 3.x的环境,可以用于快速启动和测试PyTorch项目。

源镜像 docker.io/pytorch/pytorch:2.1.0-cuda11.8-cudnn8-devel
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.1.0-cuda11.8-cudnn8-devel
镜像ID sha256:a7108713a5fbdc821b0418301f30cdfb51727a4c28dbb902636b41732a9b0c7b
镜像TAG 2.1.0-cuda11.8-cudnn8-devel
大小 17.39GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录 /workspace
OS/平台 linux/amd64
浏览量 53 次
贡献者
镜像创建 2023-10-04T23:07:45.820268209Z
同步时间 2024-10-02 00:43
更新时间 2024-10-15 13:22
环境变量
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>=11.8 brand=tesla,driver>=450,driver<451 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 brand=tesla,driver>=510,driver<511 brand=unknown,driver>=510,driver<511 brand=nvidia,driver>=510,driver<511 brand=nvidiartx,driver>=510,driver<511 brand=geforce,driver>=510,driver<511 brand=geforcertx,driver>=510,driver<511 brand=quadro,driver>=510,driver<511 brand=quadrortx,driver>=510,driver<511 brand=titan,driver>=510,driver<511 brand=titanrtx,driver>=510,driver<511 brand=tesla,driver>=515,driver<516 brand=unknown,driver>=515,driver<516 brand=nvidia,driver>=515,driver<516 brand=nvidiartx,driver>=515,driver<516 brand=geforce,driver>=515,driver<516 brand=geforcertx,driver>=515,driver<516 brand=quadro,driver>=515,driver<516 brand=quadrortx,driver>=515,driver<516 brand=titan,driver>=515,driver<516 brand=titanrtx,driver>=515,driver<516 NV_CUDA_CUDART_VERSION=11.8.89-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8 CUDA_VERSION=11.8.0 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=11.8.0-1 NV_NVTX_VERSION=11.8.86-1 NV_LIBNPP_VERSION=11.8.0.86-1 NV_LIBNPP_PACKAGE=libnpp-11-8=11.8.0.86-1 NV_LIBCUSPARSE_VERSION=11.7.5.86-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-8 NV_LIBCUBLAS_VERSION=11.11.3.6-1 NV_LIBCUBLAS_PACKAGE=libcublas-11-8=11.11.3.6-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.16.2-1 NCCL_VERSION=2.16.2-1 NV_LIBNCCL_PACKAGE=libnccl2=2.16.2-1+cuda11.8 NVIDIA_PRODUCT_NAME=CUDA NV_CUDA_CUDART_DEV_VERSION=11.8.89-1 NV_NVML_DEV_VERSION=11.8.86-1 NV_LIBCUSPARSE_DEV_VERSION=11.7.5.86-1 NV_LIBNPP_DEV_VERSION=11.8.0.86-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-8=11.8.0.86-1 NV_LIBCUBLAS_DEV_VERSION=11.11.3.6-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-8 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-8=11.11.3.6-1 NV_CUDA_NSIGHT_COMPUTE_VERSION=11.8.0-1 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-8=11.8.0-1 NV_NVPROF_VERSION=11.8.87-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-8=11.8.87-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.16.2-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.16.2-1+cuda11.8 LIBRARY_PATH=/usr/local/cuda/lib64/stubs NV_CUDNN_VERSION=8.9.0.131 NV_CUDNN_PACKAGE_NAME=libcudnn8 NV_CUDNN_PACKAGE=libcudnn8=8.9.0.131-1+cuda11.8 NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.9.0.131-1+cuda11.8 PYTORCH_VERSION=2.1.0
镜像标签
8.9.0.131: com.nvidia.cudnn.version nvidia_driver: com.nvidia.volumes.needed NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 20.04: org.opencontainers.image.version

Docker拉取命令 无权限下载?点我修复

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.1.0-cuda11.8-cudnn8-devel
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.1.0-cuda11.8-cudnn8-devel  docker.io/pytorch/pytorch:2.1.0-cuda11.8-cudnn8-devel

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.1.0-cuda11.8-cudnn8-devel
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.1.0-cuda11.8-cudnn8-devel  docker.io/pytorch/pytorch:2.1.0-cuda11.8-cudnn8-devel

Shell快速替换命令

sed -i 's#pytorch/pytorch:2.1.0-cuda11.8-cudnn8-devel#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.1.0-cuda11.8-cudnn8-devel#' deployment.yaml

镜像历史

大小 创建时间 层信息
0.00B 2023-10-05 07:07:45 WORKDIR /workspace
0.00B 2023-10-05 07:07:45 ENV PYTORCH_VERSION=2.1.0
0.00B 2023-10-05 07:07:45 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2023-10-05 07:07:45 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
0.00B 2023-10-05 07:07:45 ENV NVIDIA_VISIBLE_DEVICES=all
0.00B 2023-10-05 07:07:45 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
6.76KB 2023-10-05 07:07:45 RUN |4 PYTORCH_VERSION=2.1.0 TRITON_VERSION=2.1.0+e6216047b8 TARGETPLATFORM=linux/amd64 CUDA_VERSION=11.8.0 /bin/sh -c if test -n "${TRITON_VERSION}" -a "${TARGETPLATFORM}" != "linux/arm64"; then DEBIAN_FRONTEND=noninteractive apt install -y --no-install-recommends gcc; rm -rf /var/lib/apt/lists/*; fi # buildkit
7.56GB 2023-10-05 07:07:44 COPY /opt/conda /opt/conda # buildkit
3.26MB 2023-10-05 06:58:50 RUN |4 PYTORCH_VERSION=2.1.0 TRITON_VERSION=2.1.0+e6216047b8 TARGETPLATFORM=linux/amd64 CUDA_VERSION=11.8.0 /bin/sh -c apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends ca-certificates libjpeg-dev libpng-dev && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-10-05 06:58:50 LABEL com.nvidia.volumes.needed=nvidia_driver
0.00B 2023-10-05 06:58:50 ARG CUDA_VERSION
0.00B 2023-10-05 06:58:50 ARG TARGETPLATFORM
0.00B 2023-10-05 06:58:50 ARG TRITON_VERSION
0.00B 2023-10-05 06:58:50 ARG PYTORCH_VERSION
2.46GB 2023-06-21 09:26:21 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
0.00B 2023-06-21 09:26:21 LABEL com.nvidia.cudnn.version=8.9.0.131
0.00B 2023-06-21 09:26:21 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-06-21 09:26:21 ARG TARGETARCH
0.00B 2023-06-21 09:26:21 ENV NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.9.0.131-1+cuda11.8
0.00B 2023-06-21 09:26:21 ENV NV_CUDNN_PACKAGE=libcudnn8=8.9.0.131-1+cuda11.8
0.00B 2023-06-21 09:26:21 ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
0.00B 2023-06-21 09:26:21 ENV NV_CUDNN_VERSION=8.9.0.131
0.00B 2023-06-21 09:01:32 ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
377.31KB 2023-06-21 09:01:32 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
4.71GB 2023-06-21 09:01:31 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends libtinfo5 libncursesw5 cuda-cudart-dev-11-8=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-11-8=${NV_CUDA_LIB_VERSION} cuda-minimal-build-11-8=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-11-8=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-11-8=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-11-8=${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
0.00B 2023-06-21 09:01:31 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-06-21 09:01:31 ARG TARGETARCH
0.00B 2023-06-21 09:01:31 ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.16.2-1+cuda11.8
0.00B 2023-06-21 09:01:31 ENV NCCL_VERSION=2.16.2-1
0.00B 2023-06-21 09:01:31 ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.16.2-1
0.00B 2023-06-21 09:01:31 ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
0.00B 2023-06-21 09:01:31 ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-8=11.8.87-1
0.00B 2023-06-21 09:01:31 ENV NV_NVPROF_VERSION=11.8.87-1
0.00B 2023-06-21 09:01:31 ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-8=11.8.0-1
0.00B 2023-06-21 09:01:31 ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=11.8.0-1
0.00B 2023-06-21 09:01:31 ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-8=11.11.3.6-1
0.00B 2023-06-21 09:01:31 ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-8
0.00B 2023-06-21 09:01:31 ENV NV_LIBCUBLAS_DEV_VERSION=11.11.3.6-1
0.00B 2023-06-21 09:01:31 ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-8=11.8.0.86-1
0.00B 2023-06-21 09:01:31 ENV NV_LIBNPP_DEV_VERSION=11.8.0.86-1
0.00B 2023-06-21 09:01:31 ENV NV_LIBCUSPARSE_DEV_VERSION=11.7.5.86-1
0.00B 2023-06-21 09:01:31 ENV NV_NVML_DEV_VERSION=11.8.86-1
0.00B 2023-06-21 09:01:31 ENV NV_CUDA_CUDART_DEV_VERSION=11.8.89-1
0.00B 2023-06-21 09:01:31 ENV NV_CUDA_LIB_VERSION=11.8.0-1
0.00B 2023-06-21 08:51:50 ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
0.00B 2023-06-21 08:51:50 ENV NVIDIA_PRODUCT_NAME=CUDA
2.53KB 2023-06-21 08:51:50 COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
3.06KB 2023-06-21 08:51:50 COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
258.26KB 2023-06-21 08:51:49 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
2.42GB 2023-06-21 08:51:49 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-11-8=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-11-8=${NV_NVTX_VERSION} libcusparse-11-8=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-06-21 08:51:49 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-06-21 08:51:49 ARG TARGETARCH
0.00B 2023-06-21 08:51:49 ENV NV_LIBNCCL_PACKAGE=libnccl2=2.16.2-1+cuda11.8
0.00B 2023-06-21 08:51:49 ENV NCCL_VERSION=2.16.2-1
0.00B 2023-06-21 08:51:49 ENV NV_LIBNCCL_PACKAGE_VERSION=2.16.2-1
0.00B 2023-06-21 08:51:49 ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
0.00B 2023-06-21 08:51:49 ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-8=11.11.3.6-1
0.00B 2023-06-21 08:51:49 ENV NV_LIBCUBLAS_VERSION=11.11.3.6-1
0.00B 2023-06-21 08:51:49 ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-8
0.00B 2023-06-21 08:51:49 ENV NV_LIBCUSPARSE_VERSION=11.7.5.86-1
0.00B 2023-06-21 08:51:49 ENV NV_LIBNPP_PACKAGE=libnpp-11-8=11.8.0.86-1
0.00B 2023-06-21 08:51:49 ENV NV_LIBNPP_VERSION=11.8.0.86-1
0.00B 2023-06-21 08:51:49 ENV NV_NVTX_VERSION=11.8.86-1
0.00B 2023-06-21 08:51:49 ENV NV_CUDA_LIB_VERSION=11.8.0-1
0.00B 2023-06-21 08:41:06 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
0.00B 2023-06-21 08:41:06 ENV NVIDIA_VISIBLE_DEVICES=all
17.29KB 2023-06-21 08:41:06 COPY NGC-DL-CONTAINER-LICENSE / # buildkit
0.00B 2023-06-21 08:41:06 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2023-06-21 08:41:06 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
46.00B 2023-06-21 08:41:06 RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
150.68MB 2023-06-21 08:41:01 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-11-8=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-06-21 08:40:21 ENV CUDA_VERSION=11.8.0
18.32MB 2023-06-21 08:40:21 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${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
0.00B 2023-06-21 08:40:21 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-06-21 08:40:21 ARG TARGETARCH
0.00B 2023-06-21 08:40:21 ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8
0.00B 2023-06-21 08:40:21 ENV NV_CUDA_CUDART_VERSION=11.8.89-1
0.00B 2023-06-21 08:40:21 ENV NVIDIA_REQUIRE_CUDA=cuda>=11.8 brand=tesla,driver>=450,driver<451 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 brand=tesla,driver>=510,driver<511 brand=unknown,driver>=510,driver<511 brand=nvidia,driver>=510,driver<511 brand=nvidiartx,driver>=510,driver<511 brand=geforce,driver>=510,driver<511 brand=geforcertx,driver>=510,driver<511 brand=quadro,driver>=510,driver<511 brand=quadrortx,driver>=510,driver<511 brand=titan,driver>=510,driver<511 brand=titanrtx,driver>=510,driver<511 brand=tesla,driver>=515,driver<516 brand=unknown,driver>=515,driver<516 brand=nvidia,driver>=515,driver<516 brand=nvidiartx,driver>=515,driver<516 brand=geforce,driver>=515,driver<516 brand=geforcertx,driver>=515,driver<516 brand=quadro,driver>=515,driver<516 brand=quadrortx,driver>=515,driver<516 brand=titan,driver>=515,driver<516 brand=titanrtx,driver>=515,driver<516
0.00B 2023-06-21 08:40:21 ENV NVARCH=x86_64
0.00B 2023-06-06 01:08:58 /bin/sh -c #(nop) CMD ["/bin/bash"]
72.79MB 2023-06-06 01:08:58 /bin/sh -c #(nop) ADD file:655d373cb551d0dd5d7867f88a4f98908dc3f16190986f693e88c423e6f21b8d in /
0.00B 2023-06-06 01:08:57 /bin/sh -c #(nop) LABEL org.opencontainers.image.version=20.04
0.00B 2023-06-06 01:08:57 /bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
0.00B 2023-06-06 01:08:57 /bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
0.00B 2023-06-06 01:08:57 /bin/sh -c #(nop) ARG RELEASE

镜像信息

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