docker.io/hpcaitech/pytorch-cuda:2.1.0-12.1.0 linux/amd64

docker.io/hpcaitech/pytorch-cuda:2.1.0-12.1.0 - 国内下载镜像源 浏览次数:24

PyTorch CUDA 容器镜像

这是一个基于 Docker 的容器镜像，包含了 PyTorch 和 CUDA 运行时环境。您可以使用该镜像来运行 PyTorch 代码，并充分利用 GPU 加速计算能力。

该镜像包含以下内容：

  • PyTorch
  • CUDA 运行时
  • 基础依赖库

您可以使用以下命令拉取该镜像：

docker pull docker.io/hpcaitech/pytorch-cuda

您可以通过以下方式访问该镜像：

https://hub.docker.com/r/hpcaitech/pytorch-cuda
源镜像 docker.io/hpcaitech/pytorch-cuda:2.1.0-12.1.0
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hpcaitech/pytorch-cuda:2.1.0-12.1.0
镜像ID sha256:ae330f9b921bad743791a63c4fb1c8b4752ef79045f272b975650839ce4dfd77
镜像TAG 2.1.0-12.1.0
大小 20.83GB
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 24 次
贡献者
镜像创建 2024-08-15T17:27:12.766987173+08:00
同步时间 2024-11-13 02:05
更新时间 2024-11-21 14:31
环境变量
PATH=/opt/conda/envs/pytorch/bin:/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>=12.1 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>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 NV_CUDA_CUDART_VERSION=12.1.55-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1 CUDA_VERSION=12.1.0 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.1.0-1 NV_NVTX_VERSION=12.1.66-1 NV_LIBNPP_VERSION=12.0.2.50-1 NV_LIBNPP_PACKAGE=libnpp-12-1=12.0.2.50-1 NV_LIBCUSPARSE_VERSION=12.0.2.55-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1 NV_LIBCUBLAS_VERSION=12.1.0.26-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.0.26-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1 NCCL_VERSION=2.17.1-1 NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1 NVIDIA_PRODUCT_NAME=CUDA NVIDIA_CUDA_END_OF_LIFE=1 NV_CUDA_CUDART_DEV_VERSION=12.1.55-1 NV_NVML_DEV_VERSION=12.1.55-1 NV_LIBCUSPARSE_DEV_VERSION=12.0.2.55-1 NV_LIBNPP_DEV_VERSION=12.0.2.50-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-1=12.0.2.50-1 NV_LIBCUBLAS_DEV_VERSION=12.1.0.26-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-1 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-1=12.1.0.26-1 NV_CUDA_NSIGHT_COMPUTE_VERSION=12.1.0-1 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-1=12.1.0-1 NV_NVPROF_VERSION=12.1.55-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-1=12.1.55-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.17.1-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.17.1-1+cuda12.1 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+cuda12.1 NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.9.0.131-1+cuda12.1 CUDA_HOME=/usr/local/cuda
镜像标签
8.9.0.131: com.nvidia.cudnn.version 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/hpcaitech/pytorch-cuda:2.1.0-12.1.0
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hpcaitech/pytorch-cuda:2.1.0-12.1.0  docker.io/hpcaitech/pytorch-cuda:2.1.0-12.1.0

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hpcaitech/pytorch-cuda:2.1.0-12.1.0
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hpcaitech/pytorch-cuda:2.1.0-12.1.0  docker.io/hpcaitech/pytorch-cuda:2.1.0-12.1.0

Shell快速替换命令 

sed -i 's#hpcaitech/pytorch-cuda:2.1.0-12.1.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hpcaitech/pytorch-cuda:2.1.0-12.1.0#' 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/hpcaitech/pytorch-cuda:2.1.0-12.1.0 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hpcaitech/pytorch-cuda:2.1.0-12.1.0  docker.io/hpcaitech/pytorch-cuda:2.1.0-12.1.0'

Ansible快速分发-Containerd 

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hpcaitech/pytorch-cuda:2.1.0-12.1.0 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hpcaitech/pytorch-cuda:2.1.0-12.1.0  docker.io/hpcaitech/pytorch-cuda:2.1.0-12.1.0'

镜像历史

大小 创建时间 层信息
3.56KB 2024-08-15 17:27:12 RUN /bin/bash --login -c conda init bash && echo "conda activate pytorch" >> /root/.bashrc # buildkit
0.00B 2024-08-15 17:27:09 ENV PATH=/opt/conda/envs/pytorch/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
708.84MB 2024-08-15 17:27:09 RUN /bin/bash --login -c source /opt/conda/bin/activate pytorch && pip install xformers==v0.0.23.post1 # buildkit
77.76MB 2024-08-15 17:26:42 RUN /bin/bash --login -c cd /root && source /opt/conda/bin/activate pytorch && git clone https://github.com/NVIDIA/apex && cd apex && pip install packaging ninja && pip install -v --disable-pip-version-check --no-cache-dir --no-build-isolation --config-settings "--build-option=--cpp_ext" --config-settings "--build-option=--cuda_ext" ./ && cd .. && rm -rf ./apex # buildkit
9.33GB 2024-08-15 15:48:29 RUN /bin/bash --login -c source /opt/conda/bin/activate pytorch && conda install -y pip && conda install -y pytorch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 pytorch-cuda=12.1 -c pytorch -c nvidia # buildkit
396.42MB 2024-08-14 17:25:44 RUN /bin/bash --login -c source /opt/conda/bin/activate base && conda create -n pytorch python=3.10.14 # buildkit
0.00B 2024-08-14 17:25:44 SHELL [/bin/bash --login -c]
0.00B 2024-01-10 14:45:20 WORKDIR /workspace
0.00B 2024-01-10 14:45:20 ENV CUDA_HOME=/usr/local/cuda
0.00B 2024-01-10 14:45:20 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
0.00B 2024-01-10 14:45:20 RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c mkdir /workspace # buildkit
578.79MB 2024-01-10 14:45:19 RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c cd /opt && wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && bash Miniconda3-latest-Linux-x86_64.sh -b -p /opt/conda && rm Miniconda3-latest-Linux-x86_64.sh # buildkit
257.74MB 2024-01-10 14:44:28 RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c apt update -y && apt install -y wget vim git openssh-server build-essential libssl-dev libcurl4-gnutls-dev libexpat1-dev gettext unzip libz-dev # buildkit
0.00B 2024-01-10 14:44:28 ARG DEBIAN_FRONTEND=noninteractive
2.45GB 2023-11-10 14:22:54 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 2023-11-10 14:22:54 LABEL com.nvidia.cudnn.version=8.9.0.131
0.00B 2023-11-10 14:22:54 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 14:22:54 ARG TARGETARCH
0.00B 2023-11-10 14:22:54 ENV NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.9.0.131-1+cuda12.1
0.00B 2023-11-10 14:22:54 ENV NV_CUDNN_PACKAGE=libcudnn8=8.9.0.131-1+cuda12.1
0.00B 2023-11-10 14:22:54 ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
0.00B 2023-11-10 14:22:54 ENV NV_CUDNN_VERSION=8.9.0.131
0.00B 2023-11-10 14:00:22 ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
379.43KB 2023-11-10 14:00:22 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
4.79GB 2023-11-10 14:00:19 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends libtinfo5 libncursesw5 cuda-cudart-dev-12-1=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-12-1=${NV_CUDA_LIB_VERSION} cuda-minimal-build-12-1=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-12-1=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-12-1=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-12-1=${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 2023-11-10 14:00:19 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 14:00:19 ARG TARGETARCH
0.00B 2023-11-10 14:00:19 ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.17.1-1+cuda12.1
0.00B 2023-11-10 14:00:19 ENV NCCL_VERSION=2.17.1-1
0.00B 2023-11-10 14:00:19 ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.17.1-1
0.00B 2023-11-10 14:00:19 ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
0.00B 2023-11-10 14:00:19 ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-1=12.1.55-1
0.00B 2023-11-10 14:00:19 ENV NV_NVPROF_VERSION=12.1.55-1
0.00B 2023-11-10 14:00:19 ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-1=12.1.0-1
0.00B 2023-11-10 14:00:19 ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.1.0-1
0.00B 2023-11-10 14:00:19 ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-1=12.1.0.26-1
0.00B 2023-11-10 14:00:19 ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-1
0.00B 2023-11-10 14:00:19 ENV NV_LIBCUBLAS_DEV_VERSION=12.1.0.26-1
0.00B 2023-11-10 14:00:19 ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-1=12.0.2.50-1
0.00B 2023-11-10 14:00:19 ENV NV_LIBNPP_DEV_VERSION=12.0.2.50-1
0.00B 2023-11-10 14:00:19 ENV NV_LIBCUSPARSE_DEV_VERSION=12.0.2.55-1
0.00B 2023-11-10 14:00:19 ENV NV_NVML_DEV_VERSION=12.1.55-1
0.00B 2023-11-10 14:00:19 ENV NV_CUDA_CUDART_DEV_VERSION=12.1.55-1
0.00B 2023-11-10 14:00:19 ENV NV_CUDA_LIB_VERSION=12.1.0-1
0.00B 2023-11-10 13:48:25 ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
0.00B 2023-11-10 13:48:25 ENV NVIDIA_CUDA_END_OF_LIFE=1
0.00B 2023-11-10 13:48:25 ENV NVIDIA_PRODUCT_NAME=CUDA
2.53KB 2023-11-10 13:48:25 COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
3.06KB 2023-11-10 13:48:24 COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
259.49KB 2023-11-10 13:48:23 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
1.99GB 2023-11-10 13:48:22 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-1=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-12-1=${NV_NVTX_VERSION} libcusparse-12-1=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 13:48:22 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 13:48:22 ARG TARGETARCH
0.00B 2023-11-10 13:48:22 ENV NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1
0.00B 2023-11-10 13:48:22 ENV NCCL_VERSION=2.17.1-1
0.00B 2023-11-10 13:48:22 ENV NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1
0.00B 2023-11-10 13:48:22 ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
0.00B 2023-11-10 13:48:22 ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.0.26-1
0.00B 2023-11-10 13:48:22 ENV NV_LIBCUBLAS_VERSION=12.1.0.26-1
0.00B 2023-11-10 13:48:22 ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1
0.00B 2023-11-10 13:48:22 ENV NV_LIBCUSPARSE_VERSION=12.0.2.55-1
0.00B 2023-11-10 13:48:22 ENV NV_LIBNPP_PACKAGE=libnpp-12-1=12.0.2.50-1
0.00B 2023-11-10 13:48:22 ENV NV_LIBNPP_VERSION=12.0.2.50-1
0.00B 2023-11-10 13:48:22 ENV NV_NVTX_VERSION=12.1.66-1
0.00B 2023-11-10 13:48:22 ENV NV_CUDA_LIB_VERSION=12.1.0-1
0.00B 2023-11-10 13:42:53 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
0.00B 2023-11-10 13:42:53 ENV NVIDIA_VISIBLE_DEVICES=all
17.29KB 2023-11-10 13:42:53 COPY NGC-DL-CONTAINER-LICENSE / # buildkit
0.00B 2023-11-10 13:42:52 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2023-11-10 13:42:52 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
46.00B 2023-11-10 13:42:52 RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
149.60MB 2023-11-10 13:42:52 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-12-1=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 13:42:36 ENV CUDA_VERSION=12.1.0
18.32MB 2023-11-10 13:42:36 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${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 2023-11-10 13:42:36 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 13:42:36 ARG TARGETARCH
0.00B 2023-11-10 13:42:36 ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1
0.00B 2023-11-10 13:42:36 ENV NV_CUDA_CUDART_VERSION=12.1.55-1
0.00B 2023-11-10 13:42:36 ENV NVIDIA_REQUIRE_CUDA=cuda>=12.1 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>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526
0.00B 2023-11-10 13:42:36 ENV NVARCH=x86_64
0.00B 2023-10-03 18:45:52 /bin/sh -c #(nop) CMD ["/bin/bash"]
72.79MB 2023-10-03 18:45:51 /bin/sh -c #(nop) ADD file:4809da414c2d478b4d991cbdaa2df457f2b3d07d0ff6cf673f09a66f90833e81 in /
0.00B 2023-10-03 18:45:50 /bin/sh -c #(nop) LABEL org.opencontainers.image.version=20.04
0.00B 2023-10-03 18:45:50 /bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
0.00B 2023-10-03 18:45:50 /bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
0.00B 2023-10-03 18:45:50 /bin/sh -c #(nop) ARG RELEASE

镜像信息 

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更多版本

docker.io/hpcaitech/pytorch-cuda:2.1.0-12.1.0

linux/amd64 docker.io20.83GB2024-11-13 02:05
23