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docker.io/pytorch/pytorch:2.13.0-cuda13.0-cudnn9-devel
linux/amd64 docker.io 已验证 · 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。

6
浏览次数
20.68GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.13.0-cuda13.0-cudnn9-devel
源镜像
docker.io/pytorch/pytorch:2.13.0-cuda13.0-cudnn9-devel
镜像ID
sha256:8fb634a1507726a1d57cc53a4292f0318aa6fb83da6967ff6eefdfdb40f43ce0
镜像 TAG
2.13.0-cuda13.0-cudnn9-devel
镜像大小
20.68GB
平台架构
linux/amd64
镜像源
docker.io
CMD
/bin/bash
启动入口
工作目录
/workspace
OS/平台
linux/amd64
镜像创建
2026-07-08T17:48:41.778402862Z
同步时间
2026-08-09 05:22
浏览量
6 次
贡献者
⚙️ 环境变量 6
KeyValue
PATH=/usr/local/cuda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 0
NVIDIA_VISIBLE_DEVICES=all 1
NVIDIA_DRIVER_CAPABILITIES=compute,utility 2
LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 3
PYTORCH_VERSION=2.13.0 4
CUDA_HOME=/usr/local/cuda 5
🏷️ 镜像标签 2
KeyValue
nvidia_driver com.nvidia.volumes.needed
24.04 org.opencontainers.image.version
🛡️ 镜像安全扫描
ubuntu 24.04 Trivy 2026-08-09 05:26 查看完整报告
256
低危 LOW
1960
中危 MEDIUM
205
高危 HIGH
7
严重 CRITICAL
受影响目标 (20)
docker.io/pytorch/pytorch:2.13.0-cuda13.0-cudnn9-devel (ubuntu 24.04) ubuntu Node.js node-pkg Python python-pkg opt/nvidia/nsight-compute/2025.3.1/host/target-linux-x64/plugins/efa_metrics/nic_sampler gobinary opt/nvidia/nsight-systems/2025.3.2/target-linux-x64/plugins/efa_metrics/nic_sampler gobinary opt/pytorch/third_party/flatbuffers/tests/FlatBuffers.Test/packages.config nuget opt/pytorch/third_party/ittapi/rust/Cargo.lock cargo opt/pytorch/third_party/ittapi/rust/integration-tests/Cargo.lock cargo usr/local/bin/uv rustbinary usr/local/bin/uvx rustbinary /opt/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb/resources/cert/client.key /opt/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb/resources/cert/client.key.orig /opt/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb/resources/cert/client.pem /opt/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb/resources/cert/server.key /opt/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb/resources/cert/server.key.orig /opt/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb/resources/cert/server.pem /opt/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb/resources/cert/server_bkup.key /opt/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb/resources/cert/server_bkup.key.orig /opt/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb/resources/cert/server_bkup.pem /opt/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb/resources/ssl_cert.pem

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.13.0-cuda13.0-cudnn9-devel
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.13.0-cuda13.0-cudnn9-devel  docker.io/pytorch/pytorch:2.13.0-cuda13.0-cudnn9-devel

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.13.0-cuda13.0-cudnn9-devel
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.13.0-cuda13.0-cudnn9-devel  docker.io/pytorch/pytorch:2.13.0-cuda13.0-cudnn9-devel

Shell快速替换命令

sed -i 's#pytorch/pytorch:2.13.0-cuda13.0-cudnn9-devel#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.13.0-cuda13.0-cudnn9-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:2.13.0-cuda13.0-cudnn9-devel && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.13.0-cuda13.0-cudnn9-devel  docker.io/pytorch/pytorch:2.13.0-cuda13.0-cudnn9-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:2.13.0-cuda13.0-cudnn9-devel && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.13.0-cuda13.0-cudnn9-devel  docker.io/pytorch/pytorch:2.13.0-cuda13.0-cudnn9-devel'

镜像构建历史


# 2026-07-09 01:48:41  6.80GB 复制新文件或目录到容器中
COPY /opt/pytorch /opt/pytorch # buildkit
                        
# 2026-07-09 01:46:43  0.00B 复制新文件或目录到容器中
COPY /usr/local/bin /usr/local/bin # buildkit
                        
# 2026-07-09 01:46:43  0.00B 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12 /usr/local/lib/python3.12 # buildkit
                        
# 2026-07-09 01:46:40  0.00B 设置环境变量 CUDA_HOME
ENV CUDA_HOME=/usr/local/cuda
                        
# 2026-07-09 01:46:40  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2026-07-09 01:46:40  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/cuda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2026-07-09 01:46:40  8.23GB 执行命令并创建新的镜像层
RUN |5 PYTORCH_VERSION=2.13.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=13.0.3 BUILD_TYPE=dev /bin/sh -c if [ "${BUILD_TYPE}" = "dev" ] && [ -n "${CUDA_VERSION}" ]; then     apt-get update && apt-get install -y --no-install-recommends         wget gnupg2 ca-certificates &&     NVARCH=$(uname -m | sed 's/x86_64/x86_64/' | sed 's/aarch64/sbsa/') &&     wget -qO - https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     CUDA_PKG_VERSION=$(echo ${CUDA_VERSION} | cut -d'.' -f1,2 | tr '.' '-') &&     apt-get update && apt-get install -y --no-install-recommends         cuda-toolkit-${CUDA_PKG_VERSION} &&     apt-get clean && rm -rf /var/lib/apt/lists/* &&     echo "/usr/local/cuda/lib64" >> /etc/ld.so.conf.d/cuda.conf &&     ldconfig; fi # buildkit
                        
# 2026-07-09 01:43:42  0.00B 定义构建参数
ARG BUILD_TYPE=dev
                        
# 2026-07-09 01:43:42  0.00B 定义构建参数
ARG CUDA_VERSION=13.0.3
                        
# 2026-07-09 01:43:42  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2026-07-09 01:43:42  0.00B 设置环境变量 PYTORCH_VERSION
ENV PYTORCH_VERSION=2.13.0
                        
# 2026-07-09 01:43:42  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2026-07-09 01:43:42  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2026-07-09 01:43:42  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2026-07-09 01:43:42  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2026-07-09 01:43:42  166.51MB 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.13.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=13.0.3 /bin/sh -c if test -n "${CUDA_VERSION}" -a "${TARGETPLATFORM}" != "linux/arm64"; then         apt-get update -qq &&         DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends gcc &&         rm -rf /var/lib/apt/lists/*;     fi # buildkit
                        
# 2026-07-09 01:43:34  72.43MB 复制新文件或目录到容器中
COPY /usr/local/bin /usr/local/bin # buildkit
                        
# 2026-07-09 01:43:34  5.21GB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12 /usr/local/lib/python3.12 # buildkit
                        
# 2026-07-09 01:40:51  123.63MB 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.13.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=13.0.3 /bin/sh -c apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends         ca-certificates         libjpeg-dev         libpng-dev         python-is-python3         python3         python3-dev         python3-pip         && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-07-09 01:40:51  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver
                        
# 2026-07-09 01:40:51  0.00B 定义构建参数
ARG CUDA_VERSION=13.0.3
                        
# 2026-07-09 01:40:51  0.00B 定义构建参数
ARG TARGETPLATFORM=linux/amd64
                        
# 2026-07-09 01:40:51  0.00B 定义构建参数
ARG TRITON_VERSION=
                        
# 2026-07-09 01:40:51  0.00B 定义构建参数
ARG PYTORCH_VERSION=2.13.0
                        
# 2026-06-23 05:24:21  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2026-06-23 05:24:20  78.14MB 
/bin/sh -c #(nop) ADD file:8c609c85109d07bf47cf268a175b3be8bbe34fc0c41d15d99b090d099f4dc837 in / 
                        
# 2026-06-23 05:24:18  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2026-06-23 05:24:18  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2026-06-23 05:24:17  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-07-08T17:48:41.778402862Z",
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        "AttachStdin": false,
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        "OpenStdin": false,
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            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
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}

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3567

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

linux/amd64 docker.io12.84GB2025-02-28 02:38
3120

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

linux/amd64 docker.io13.23GB2025-03-08 01:36
3041

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

linux/amd64 docker.io13.71GB2025-03-18 02:23
1345

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

linux/amd64 docker.io16.56GB2025-04-15 01:43
877

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

linux/amd64 docker.io7.70GB2025-04-25 04:37
3394

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

linux/amd64 docker.io7.04GB2025-04-28 16:22
1065

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

linux/amd64 docker.io6.32GB2025-05-07 02:16
1400

docker.io/pytorch/pytorch:latest

linux/amd64 docker.io7.60GB2025-05-14 01:17
2059

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

linux/amd64 docker.io16.99GB2025-05-22 02:12
1462

docker.io/pytorch/pytorch:2.7.1-cuda12.8-cudnn9-runtime

linux/amd64 docker.io7.60GB2025-07-02 00:58
2812

docker.io/pytorch/pytorch:2.7.1-cuda12.8-cudnn9-devel

linux/amd64 docker.io16.89GB2025-07-18 04:22
1963

docker.io/pytorch/pytorch:2.3.1-cuda12.1-cudnn8-runtime

linux/amd64 docker.io7.70GB2025-07-24 01:22
1119

docker.io/pytorch/pytorch:2.4.1-cuda12.1-cudnn9-runtime

linux/amd64 docker.io5.93GB2025-07-24 02:12
1249

docker.io/pytorch/pytorch:2.7.1-cuda11.8-cudnn9-runtime

linux/amd64 docker.io6.48GB2025-08-05 01:42
1002

docker.io/pytorch/pytorch:2.8.0-cuda12.9-cudnn9-devel

linux/amd64 docker.io18.46GB2025-08-28 02:21
2271

docker.io/pytorch/pytorch:2.8.0-cuda12.8-cudnn9-devel

linux/amd64 docker.io16.93GB2025-09-11 01:44
1422

docker.io/pytorch/pytorch:2.7.1-cuda11.8-cudnn9-devel

linux/amd64 docker.io13.76GB2025-10-12 02:59
735

docker.io/pytorch/pytorch:2.8.0-cuda12.8-cudnn9-runtime

linux/amd64 docker.io7.69GB2025-10-25 00:53
1745

docker.io/pytorch/pytorch:2.4.1-cuda12.1-cudnn9-devel

linux/amd64 docker.io12.86GB2025-11-01 00:22
820

docker.io/pytorch/pytorch:2.9.0-cuda13.0-cudnn9-runtime

linux/amd64 docker.io5.68GB2025-11-06 02:58
1557

docker.io/pytorch/pytorch:1.13.0-cuda11.6-cudnn8-devel

linux/amd64 docker.io18.57GB2025-11-10 00:45
458

docker.io/pytorch/pytorch:2.4.0-cuda12.1-cudnn9-runtime

linux/amd64 docker.io8.06GB2025-11-22 01:41
800

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

linux/amd64 docker.io7.20GB2025-12-04 00:11
701

docker.io/pytorch/pytorch:2.8.0-cuda12.9-cudnn9-runtime

linux/amd64 docker.io8.38GB2025-12-10 01:22
729

docker.io/pytorch/pytorch:2.9.1-cuda12.8-cudnn9-runtime

linux/amd64 docker.io7.97GB2025-12-12 00:37
1468

docker.io/pytorch/pytorch:2.9.1-cuda12.8-cudnn9-devel

linux/amd64 docker.io17.21GB2025-12-12 01:02
1677

docker.io/pytorch/pytorch:2.7.0-cuda12.6-cudnn9-runtime

linux/amd64 docker.io6.35GB2025-12-13 01:45
852

docker.io/pytorch/pytorch:1.7.1-cuda11.0-cudnn8-devel

linux/amd64 docker.io12.86GB2025-12-16 01:48
718

docker.io/pytorch/pytorch:1.7.0-cuda11.0-cudnn8-devel

linux/amd64 docker.io11.97GB2025-12-16 02:38
449

docker.io/pytorch/pytorch:2.9.1-cuda12.6-cudnn9-runtime

linux/amd64 docker.io7.12GB2026-01-11 00:39
664

docker.io/pytorch/pytorch:1.8.1-cuda11.1-cudnn8-devel

linux/amd64 docker.io16.47GB2026-01-21 01:16
517

docker.io/pytorch/pytorch:2.6.0-cuda11.8-cudnn9-devel

linux/amd64 docker.io13.52GB2026-02-28 02:06
331

docker.io/pytorch/pytorch:2.10.0-cuda12.8-cudnn9-devel

linux/amd64 docker.io17.09GB2026-03-11 02:39
548

docker.io/pytorch/pytorch:2.9.1-cuda13.0-cudnn9-devel

linux/amd64 docker.io12.94GB2026-03-20 02:29
611

docker.io/pytorch/pytorch:2.7.1-cuda12.6-cudnn9-devel

linux/amd64 docker.io13.44GB2026-04-21 02:09
332

docker.io/pytorch/pytorch:2.4.0-cuda12.4-cudnn9-devel

linux/amd64 docker.io14.96GB2026-04-21 02:15
328

docker.io/pytorch/pytorch:2.11.0-cuda12.6-cudnn9-devel

linux/amd64 docker.io21.29GB2026-04-30 03:39
427

docker.io/pytorch/pytorch:2.11.0-cuda12.6-cudnn9-runtime

linux/amd64 docker.io7.06GB2026-04-30 03:55
350

docker.io/pytorch/pytorch:1.12.1-cuda11.3-cudnn8-devel

linux/amd64 docker.io14.06GB2026-06-06 02:30
149

docker.io/pytorch/pytorch:2.11.0-cuda13.0-cudnn9-runtime

linux/amd64 docker.io5.59GB2026-06-11 04:30
214

docker.io/pytorch/pytorch:2.10.0-cuda13.0-cudnn9-devel

linux/amd64 docker.io12.85GB2026-07-04 02:22
108

docker.io/pytorch/pytorch:2.10.0-cuda12.8-cudnn9-runtime

linux/amd64 docker.io7.96GB2026-07-14 03:39
113

docker.io/pytorch/pytorch:2.12.1-cuda13.2-cudnn9-runtime

linux/amd64 docker.io5.60GB2026-07-29 02:11
57

docker.io/pytorch/pytorch:2.13.0-cuda13.0-cudnn9-devel

linux/amd64 docker.io20.68GB2026-08-09 05:22
5
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