docker.io/pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel linux/amd64

docker.io/pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel - 国内下载镜像源 浏览次数:37 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:1.6.0-cuda10.1-cudnn7-devel
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel
镜像ID sha256:bb833e4d631feff31ab57559d64617ad895d3ae7f45fdb651f9ba2df50b183b7
镜像TAG 1.6.0-cuda10.1-cudnn7-devel
大小 7.04GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD /bin/bash
启动入口
工作目录 /workspace
OS/平台 linux/amd64
浏览量 37 次
贡献者 st****t@qq.com
镜像创建 2020-07-28T09:16:51.658923336-07:00
同步时间 2025-04-28 16:22
更新时间 2025-05-10 18:24
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 CUDA_VERSION=10.1.243 CUDA_PKG_VERSION=10-1=10.1.243-1 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NVIDIA_REQUIRE_CUDA=cuda>=10.1 brand=tesla,driver>=384,driver<385 brand=tesla,driver>=396,driver<397 brand=tesla,driver>=410,driver<411 NCCL_VERSION=2.4.8 LIBRARY_PATH=/usr/local/cuda/lib64/stubs CUDNN_VERSION=7.6.5.32
镜像标签
7.6.5.32: com.nvidia.cudnn.version nvidia_driver: com.nvidia.volumes.needed NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel  docker.io/pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel  docker.io/pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel

Shell快速替换命令

sed -i 's#pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel#' 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/pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel  docker.io/pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel  docker.io/pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel'

镜像构建历史


# 2020-07-29 00:16:51  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2020-07-29 00:16:51  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2020-07-29 00:16:51  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2020-07-29 00:16:51  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2020-07-29 00:16:51  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
                        
# 2020-07-29 00:16:51  3.37GB 复制新文件或目录到容器中
COPY /opt/conda /opt/conda # buildkit
                        
# 2020-03-20 04:20:49  3.49MB 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
                        
# 2020-03-20 04:20:49  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver
                        
# 2019-12-06 06:54:44  833.42MB 
/bin/sh -c apt-get update && apt-get install -y --no-install-recommends     libcudnn7=$CUDNN_VERSION-1+cuda10.1 libcudnn7-dev=$CUDNN_VERSION-1+cuda10.1 &&     apt-mark hold libcudnn7 &&     rm -rf /var/lib/apt/lists/*
                        
# 2019-12-06 06:53:34  0.00B 
/bin/sh -c #(nop)  LABEL com.nvidia.cudnn.version=7.6.5.32
                        
# 2019-12-06 06:53:32  0.00B 
/bin/sh -c #(nop)  ENV CUDNN_VERSION=7.6.5.32
                        
# 2019-12-06 06:53:31  0.00B 
/bin/sh -c #(nop)  LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2019-12-06 06:41:23  0.00B 
/bin/sh -c #(nop)  ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2019-12-06 06:41:10  1.61GB 
/bin/sh -c apt-get update && apt-get install -y --no-install-recommends         cuda-nvml-dev-$CUDA_PKG_VERSION         cuda-command-line-tools-$CUDA_PKG_VERSION cuda-libraries-dev-$CUDA_PKG_VERSION         cuda-minimal-build-$CUDA_PKG_VERSION         libnccl-dev=$NCCL_VERSION-1+cuda10.1 libcublas-dev=10.2.1.243-1 &&     rm -rf /var/lib/apt/lists/*
                        
# 2019-12-06 06:38:45  0.00B 
/bin/sh -c #(nop)  LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2019-12-06 06:38:26  1.12GB 
/bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-libraries-$CUDA_PKG_VERSION cuda-nvtx-$CUDA_PKG_VERSION libcublas10=10.2.1.243-1 libnccl2=$NCCL_VERSION-1+cuda10.1 &&     apt-mark hold libnccl2 &&     rm -rf /var/lib/apt/lists/*
                        
# 2019-11-28 04:00:22  0.00B 
/bin/sh -c #(nop)  ENV NCCL_VERSION=2.4.8
                        
# 2019-11-28 04:00:21  0.00B 
/bin/sh -c #(nop)  LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2019-11-28 04:00:08  0.00B 
/bin/sh -c #(nop)  ENV NVIDIA_REQUIRE_CUDA=cuda>=10.1 brand=tesla,driver>=384,driver<385 brand=tesla,driver>=396,driver<397 brand=tesla,driver>=410,driver<411
                        
# 2019-11-28 04:00:06  0.00B 
/bin/sh -c #(nop)  ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2019-11-28 04:00:05  0.00B 
/bin/sh -c #(nop)  ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2019-11-28 03:59:56  0.00B 
/bin/sh -c #(nop)  ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2019-11-28 03:59:55  0.00B 
/bin/sh -c #(nop)  ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2019-11-28 03:59:53  46.00B 
/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
                        
# 2019-11-28 03:59:51  25.07MB 
/bin/sh -c apt-get update && apt-get install -y --no-install-recommends         cuda-cudart-$CUDA_PKG_VERSION cuda-compat-10-1 && ln -s cuda-10.1 /usr/local/cuda &&     rm -rf /var/lib/apt/lists/*
                        
# 2019-11-28 03:59:39  0.00B 
/bin/sh -c #(nop)  ENV CUDA_PKG_VERSION=10-1=10.1.243-1
                        
# 2019-11-28 03:59:39  0.00B 
/bin/sh -c #(nop)  ENV CUDA_VERSION=10.1.243
                        
# 2019-11-28 03:59:38  16.53MB 
/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/*
                        
# 2019-11-28 03:57:46  0.00B 
/bin/sh -c #(nop)  LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2019-11-01 06:20:37  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2019-11-01 06:20:37  7.00B 
/bin/sh -c mkdir -p /run/systemd && echo 'docker' > /run/systemd/container
                        
# 2019-11-01 06:20:36  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
                        
# 2019-11-01 06:20:36  987.49KB 
/bin/sh -c [ -z "$(apt-get indextargets)" ]
                        
# 2019-11-01 06:20:35  63.21MB 
/bin/sh -c #(nop) ADD file:a48a5dc1b9dbfc632f6cf86fe27b770b63f07a115c98c4465dc184e303a4efa1 in / 
                        
                    

镜像信息

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        "StdinOnce": false,
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189

docker.io/pytorch/pytorch:2.1.2-cuda12.1-cudnn8-devel

linux/amd64 docker.io16.58GB2024-12-20 00:05
308

docker.io/pytorch/pytorch:2.1.2-cuda12.1-cudnn8-runtime

linux/amd64 docker.io7.22GB2025-01-10 00:32
196

docker.io/pytorch/pytorch:2.0.0-cuda11.7-cudnn8-devel

linux/amd64 docker.io13.10GB2025-01-11 00:22
209

docker.io/pytorch/pytorch:2.2.2-cuda11.8-cudnn8-devel

linux/amd64 docker.io17.74GB2025-01-18 01:16
147

docker.io/pytorch/pytorch:2.2.1-cuda11.8-cudnn8-devel

linux/amd64 docker.io17.70GB2025-02-18 00:39
138

docker.io/pytorch/pytorch:2.6.0-cuda12.6-cudnn9-devel

linux/amd64 docker.io13.16GB2025-02-18 01:17
739

docker.io/pytorch/pytorch:2.6.0-cuda12.4-cudnn9-runtime

linux/amd64 docker.io6.06GB2025-02-27 00:51
575

docker.io/pytorch/pytorch:2.5.1-cuda12.1-cudnn9-devel

linux/amd64 docker.io12.84GB2025-02-28 02:38
377

docker.io/pytorch/pytorch:2.6.0-cuda12.4-cudnn9-devel

linux/amd64 docker.io13.23GB2025-03-08 01:36
249

docker.io/pytorch/pytorch:1.11.0-cuda11.3-cudnn8-devel

linux/amd64 docker.io13.71GB2025-03-18 02:23
172

docker.io/pytorch/pytorch:2.1.0-cuda12.1-cudnn8-devel

linux/amd64 docker.io16.56GB2025-04-15 01:43
54

docker.io/pytorch/pytorch:2.7.0-cuda12.8-cudnn9-runtime

linux/amd64 docker.io7.70GB2025-04-25 04:37
168

docker.io/pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel

linux/amd64 docker.io7.04GB2025-04-28 16:22
36

docker.io/pytorch/pytorch:2.5.1-cuda11.8-cudnn9-runtime

linux/amd64 docker.io6.32GB2025-05-07 02:16
35