docker.io/pytorch/pytorch:2.3.0-cuda12.1-cudnn8-runtime linux/amd64

docker.io/pytorch/pytorch:2.3.0-cuda12.1-cudnn8-runtime - 国内下载镜像源 浏览次数:520 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:2.3.0-cuda12.1-cudnn8-runtime
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.3.0-cuda12.1-cudnn8-runtime
镜像ID sha256:639acf27b78ebb7037982e16916fdd8751dddb6ed6ce6bfa42c3ec396c0590e1
镜像TAG 2.3.0-cuda12.1-cudnn8-runtime
大小 7.71GB
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 520 次
贡献者
镜像创建 2024-04-24T16:24:52.556561702Z
同步时间 2024-07-18 11:25
更新时间 2024-09-19 21:39
环境变量
PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 PYTORCH_VERSION=2.3.0
镜像标签
nvidia_driver: com.nvidia.volumes.needed ubuntu: org.opencontainers.image.ref.name 22.04: 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:2.3.0-cuda12.1-cudnn8-runtime
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.3.0-cuda12.1-cudnn8-runtime  docker.io/pytorch/pytorch:2.3.0-cuda12.1-cudnn8-runtime

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.3.0-cuda12.1-cudnn8-runtime
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.3.0-cuda12.1-cudnn8-runtime  docker.io/pytorch/pytorch:2.3.0-cuda12.1-cudnn8-runtime

Shell快速替换命令 

sed -i 's#pytorch/pytorch:2.3.0-cuda12.1-cudnn8-runtime#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.3.0-cuda12.1-cudnn8-runtime#' deployment.yaml

镜像历史

大小 创建时间 层信息
0.00B 2024-04-25 00:24:52 WORKDIR /workspace
0.00B 2024-04-25 00:24:52 ENV PYTORCH_VERSION=2.3.0
0.00B 2024-04-25 00:24:52 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
0.00B 2024-04-25 00:24:52 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2024-04-25 00:24:52 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
0.00B 2024-04-25 00:24:52 ENV NVIDIA_VISIBLE_DEVICES=all
0.00B 2024-04-25 00:24:52 ENV PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
0.00B 2024-04-25 00:24:52 RUN |4 PYTORCH_VERSION=2.3.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=12.1.1 /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
7.59GB 2024-04-25 00:24:51 COPY /opt/conda /opt/conda # buildkit
39.30MB 2024-04-25 00:16:51 RUN |4 PYTORCH_VERSION=2.3.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=12.1.1 /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 2024-04-25 00:16:51 LABEL com.nvidia.volumes.needed=nvidia_driver
0.00B 2024-04-25 00:16:51 ARG CUDA_VERSION
0.00B 2024-04-25 00:16:51 ARG TARGETPLATFORM
0.00B 2024-04-25 00:16:51 ARG TRITON_VERSION
0.00B 2024-04-25 00:16:51 ARG PYTORCH_VERSION
0.00B 2024-04-11 02:52:04 /bin/sh -c #(nop) CMD ["/bin/bash"]
77.86MB 2024-04-11 02:52:04 /bin/sh -c #(nop) ADD file:3bd10da0673e2e72cb06a1f64a9df49a36341df39b0f762e3d1b38ee4de296fa in /
0.00B 2024-04-11 02:52:02 /bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
0.00B 2024-04-11 02:52:02 /bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
0.00B 2024-04-11 02:52:02 /bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
0.00B 2024-04-11 02:52:02 /bin/sh -c #(nop) ARG RELEASE

镜像信息 

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