docker.io/pytorch/pytorch:2.5.0-cuda12.4-cudnn9-runtime linux/amd64

docker.io/pytorch/pytorch:2.5.0-cuda12.4-cudnn9-runtime - 国内下载镜像源 浏览次数:30 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:2.5.0-cuda12.4-cudnn9-runtime
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.5.0-cuda12.4-cudnn9-runtime
镜像ID sha256:7093c5bbc730d79f994f35834116bbc21a13190509d76a213aab029686dba34d
镜像TAG 2.5.0-cuda12.4-cudnn9-runtime
大小 6.13GB
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 30 次
贡献者
镜像创建 2024-10-17T16:29:36.16462338Z
同步时间 2024-11-06 01:38
更新时间 2024-11-21 13:48
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=2.5.0
镜像标签
nvidia_driver: com.nvidia.volumes.needed ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version
镜像安全扫描 查看Trivy扫描报告

系统OS: ubuntu 22.04 扫描引擎: Trivy 扫描时间: 2024-11-06 01:39

低危漏洞:67 中危漏洞:691 高危漏洞:0 严重漏洞:0

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:2.5.0-cuda12.4-cudnn9-runtime
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.5.0-cuda12.4-cudnn9-runtime  docker.io/pytorch/pytorch:2.5.0-cuda12.4-cudnn9-runtime

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.5.0-cuda12.4-cudnn9-runtime
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.5.0-cuda12.4-cudnn9-runtime  docker.io/pytorch/pytorch:2.5.0-cuda12.4-cudnn9-runtime

Shell快速替换命令

sed -i 's#pytorch/pytorch:2.5.0-cuda12.4-cudnn9-runtime#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.5.0-cuda12.4-cudnn9-runtime#' 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:2.5.0-cuda12.4-cudnn9-runtime && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.5.0-cuda12.4-cudnn9-runtime  docker.io/pytorch/pytorch:2.5.0-cuda12.4-cudnn9-runtime'

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:2.5.0-cuda12.4-cudnn9-runtime && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.5.0-cuda12.4-cudnn9-runtime  docker.io/pytorch/pytorch:2.5.0-cuda12.4-cudnn9-runtime'

镜像历史

大小 创建时间 层信息
0.00B 2024-10-18 00:29:36 WORKDIR /workspace
0.00B 2024-10-18 00:29:36 ENV PYTORCH_VERSION=2.5.0
0.00B 2024-10-18 00:29:36 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 2024-10-18 00:29:36 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2024-10-18 00:29:36 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
0.00B 2024-10-18 00:29:36 ENV NVIDIA_VISIBLE_DEVICES=all
0.00B 2024-10-18 00:29:36 ENV PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
0.00B 2024-10-18 00:29:36 RUN |4 PYTORCH_VERSION=2.5.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=12.4.1 /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
6.03GB 2024-10-18 00:29:35 COPY /opt/conda /opt/conda # buildkit
25.99MB 2024-10-18 00:25:47 RUN |4 PYTORCH_VERSION=2.5.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=12.4.1 /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 2024-10-18 00:25:47 LABEL com.nvidia.volumes.needed=nvidia_driver
0.00B 2024-10-18 00:25:47 ARG CUDA_VERSION=12.4.1
0.00B 2024-10-18 00:25:47 ARG TARGETPLATFORM=linux/amd64
0.00B 2024-10-18 00:25:47 ARG TRITON_VERSION=
0.00B 2024-10-18 00:25:47 ARG PYTORCH_VERSION=2.5.0
0.00B 2024-09-12 00:25:18 /bin/sh -c #(nop) CMD ["/bin/bash"]
77.86MB 2024-09-12 00:25:17 /bin/sh -c #(nop) ADD file:ebe009f86035c175ba244badd298a2582914415cf62783d510eab3a311a5d4e1 in /
0.00B 2024-09-12 00:25:16 /bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
0.00B 2024-09-12 00:25:16 /bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
0.00B 2024-09-12 00:25:16 /bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
0.00B 2024-09-12 00:25:16 /bin/sh -c #(nop) ARG RELEASE

镜像信息

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            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
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更多版本

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linux/amd64 docker.io5.90GB2024-11-07 00:14
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