logo
docker.io/pytorch/pytorch:2.5.1-cuda12.4-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。

3178
浏览次数
13.31GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.5.1-cuda12.4-cudnn9-devel
源镜像
docker.io/pytorch/pytorch:2.5.1-cuda12.4-cudnn9-devel
镜像ID
sha256:05d1b981bb5be4f84e3d0608f8f391117805becc0c1a9062697a551fe0ef0fbe
镜像 TAG
2.5.1-cuda12.4-cudnn9-devel
镜像大小
13.31GB
平台架构
linux/amd64
镜像源
docker.io
CMD
启动入口
/opt/nvidia/nvidia_entrypoint.sh
工作目录
/workspace
OS/平台
linux/amd64
镜像创建
2024-10-29T18:08:02.883630943Z
同步时间
2024-11-06 01:09
浏览量
3178 次
贡献者
⚙️ 环境变量 39
KeyValue
PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 0
NVARCH=x86_64 1
NVIDIA_REQUIRE_CUDA=cuda>=12.4 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 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536 2
NV_CUDA_CUDART_VERSION=12.4.127-1 3
NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4 4
CUDA_VERSION=12.4.1 5
LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 6
NVIDIA_VISIBLE_DEVICES=all 7
NVIDIA_DRIVER_CAPABILITIES=compute,utility 8
NV_CUDA_LIB_VERSION=12.4.1-1 9
NV_NVTX_VERSION=12.4.127-1 10
NV_LIBNPP_VERSION=12.2.5.30-1 11
NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.30-1 12
NV_LIBCUSPARSE_VERSION=12.3.1.170-1 13
NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4 14
NV_LIBCUBLAS_VERSION=12.4.5.8-1 15
NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.5.8-1 16
NV_LIBNCCL_PACKAGE_NAME=libnccl2 17
NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1 18
NCCL_VERSION=2.21.5-1 19
NV_LIBNCCL_PACKAGE=libnccl2=2.21.5-1+cuda12.4 20
NVIDIA_PRODUCT_NAME=CUDA 21
NV_CUDA_CUDART_DEV_VERSION=12.4.127-1 22
NV_NVML_DEV_VERSION=12.4.127-1 23
NV_LIBCUSPARSE_DEV_VERSION=12.3.1.170-1 24
NV_LIBNPP_DEV_VERSION=12.2.5.30-1 25
NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-4=12.2.5.30-1 26
NV_LIBCUBLAS_DEV_VERSION=12.4.5.8-1 27
NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-4 28
NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-4=12.4.5.8-1 29
NV_CUDA_NSIGHT_COMPUTE_VERSION=12.4.1-1 30
NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-4=12.4.1-1 31
NV_NVPROF_VERSION=12.4.127-1 32
NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-4=12.4.127-1 33
NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev 34
NV_LIBNCCL_DEV_PACKAGE_VERSION=2.21.5-1 35
NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.21.5-1+cuda12.4 36
LIBRARY_PATH=/usr/local/cuda/lib64/stubs 37
PYTORCH_VERSION=2.5.1 38
🏷️ 镜像标签 4
KeyValue
nvidia_driver com.nvidia.volumes.needed
NVIDIA CORPORATION <cudatools@nvidia.com> maintainer
ubuntu org.opencontainers.image.ref.name
22.04 org.opencontainers.image.version
🛡️ 镜像安全扫描
ubuntu 22.04 Trivy 2024-11-06 01:13 查看完整报告
176
低危 LOW
1387
中危 MEDIUM
25
高危 HIGH
0
严重 CRITICAL
受影响目标 (2)
docker.io/pytorch/pytorch:2.5.1-cuda12.4-cudnn9-devel (ubuntu 22.04) ubuntu Python python-pkg

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.5.1-cuda12.4-cudnn9-devel
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.5.1-cuda12.4-cudnn9-devel  docker.io/pytorch/pytorch:2.5.1-cuda12.4-cudnn9-devel

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.5.1-cuda12.4-cudnn9-devel
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.5.1-cuda12.4-cudnn9-devel  docker.io/pytorch/pytorch:2.5.1-cuda12.4-cudnn9-devel

Shell快速替换命令

sed -i 's#pytorch/pytorch:2.5.1-cuda12.4-cudnn9-devel#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.5.1-cuda12.4-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:2.5.1-cuda12.4-cudnn9-devel && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.5.1-cuda12.4-cudnn9-devel  docker.io/pytorch/pytorch:2.5.1-cuda12.4-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:2.5.1-cuda12.4-cudnn9-devel && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.5.1-cuda12.4-cudnn9-devel  docker.io/pytorch/pytorch:2.5.1-cuda12.4-cudnn9-devel'

镜像构建历史


# 2024-10-30 02:08:02  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2024-10-30 02:08:02  0.00B 设置环境变量 PYTORCH_VERSION
ENV PYTORCH_VERSION=2.5.1
                        
# 2024-10-30 02:08:02  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-10-30 02:08:02  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-10-30 02:08:02  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-10-30 02:08:02  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-10-30 02:08:02  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
                        
# 2024-10-30 02:08:02  0.00B 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.5.1 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
                        
# 2024-10-30 02:08:02  6.03GB 复制新文件或目录到容器中
COPY /opt/conda /opt/conda # buildkit
                        
# 2024-10-30 02:04:08  4.93MB 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.5.1 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
                        
# 2024-10-30 02:04:08  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver
                        
# 2024-10-30 02:04:08  0.00B 定义构建参数
ARG CUDA_VERSION=12.4.1
                        
# 2024-10-30 02:04:08  0.00B 定义构建参数
ARG TARGETPLATFORM=linux/amd64
                        
# 2024-10-30 02:04:08  0.00B 定义构建参数
ARG TRITON_VERSION=
                        
# 2024-10-30 02:04:08  0.00B 定义构建参数
ARG PYTORCH_VERSION=2.5.1
                        
# 2024-04-23 07:54:42  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2024-04-23 07:54:42  389.87KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
                        
# 2024-04-23 07:54:41  4.98GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-dev-12-4=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-12-4=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-12-4=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-12-4=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-12-4=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-12-4=${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
                        
# 2024-04-23 07:54:41  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-04-23 07:54:41  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.21.5-1+cuda12.4
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.21.5-1
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.21.5-1
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-4=12.4.127-1
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.4.127-1
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-4=12.4.1-1
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.4.1-1
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-4=12.4.5.8-1
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-4
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.4.5.8-1
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-4=12.2.5.30-1
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.2.5.30-1
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.3.1.170-1
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.4.127-1
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.4.127-1
                        
# 2024-04-23 07:54:41  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.4.1-1
                        
# 2024-04-23 07:46:26  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2024-04-23 07:46:26  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2024-04-23 07:46:26  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2024-04-23 07:46:26  263.02KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
                        
# 2024-04-23 07:46:26  2.05GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-libraries-12-4=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-4=${NV_NVTX_VERSION}     libcusparse-12-4=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-04-23 07:46:26  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-04-23 07:46:26  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.21.5-1+cuda12.4
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.21.5-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.5.8-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.4.5.8-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.3.1.170-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.30-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.2.5.30-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.4.127-1
                        
# 2024-04-23 07:46:26  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.4.1-1
                        
# 2024-04-23 07:42:28  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-04-23 07:42:28  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-04-23 07:42:28  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2024-04-23 07:42:28  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-04-23 07:42:28  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
                        
# 2024-04-23 07:42:28  46.00B 执行命令并创建新的镜像层
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
                        
# 2024-04-23 07:42:28  155.93MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-12-4=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-04-23 07:42:16  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.4.1
                        
# 2024-04-23 07:42:16  10.57MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     gnupg2 curl ca-certificates &&     curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.1-1_all.deb &&     dpkg -i cuda-keyring_1.1-1_all.deb &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-04-23 07:42:16  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-04-23 07:42:16  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-04-23 07:42:16  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4
                        
# 2024-04-23 07:42:16  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.4.127-1
                        
# 2024-04-23 07:42:16  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.4 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 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536
                        
# 2024-04-23 07:42:16  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2024-04-11 02:52:04  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-04-11 02:52:04  77.86MB 
/bin/sh -c #(nop) ADD file:3bd10da0673e2e72cb06a1f64a9df49a36341df39b0f762e3d1b38ee4de296fa in / 
                        
# 2024-04-11 02:52:02  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2024-04-11 02:52:02  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-04-11 02:52:02  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-04-11 02:52:02  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:05d1b981bb5be4f84e3d0608f8f391117805becc0c1a9062697a551fe0ef0fbe",
    "RepoTags": [
        "pytorch/pytorch:2.5.1-cuda12.4-cudnn9-devel",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.5.1-cuda12.4-cudnn9-devel"
    ],
    "RepoDigests": [
        "pytorch/pytorch@sha256:14611869895df612b7b07227d5925f30ec3cd6673bad58ce3d84ed107950e014",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch@sha256:14611869895df612b7b07227d5925f30ec3cd6673bad58ce3d84ed107950e014"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2024-10-29T18:08:02.883630943Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/nvidia/bin:/usr/local/cuda/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\u003e=12.4 brand=tesla,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=geforce,driver\u003e=470,driver\u003c471 brand=geforcertx,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=titan,driver\u003e=470,driver\u003c471 brand=titanrtx,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=525,driver\u003c526 brand=unknown,driver\u003e=525,driver\u003c526 brand=nvidia,driver\u003e=525,driver\u003c526 brand=nvidiartx,driver\u003e=525,driver\u003c526 brand=geforce,driver\u003e=525,driver\u003c526 brand=geforcertx,driver\u003e=525,driver\u003c526 brand=quadro,driver\u003e=525,driver\u003c526 brand=quadrortx,driver\u003e=525,driver\u003c526 brand=titan,driver\u003e=525,driver\u003c526 brand=titanrtx,driver\u003e=525,driver\u003c526 brand=tesla,driver\u003e=535,driver\u003c536 brand=unknown,driver\u003e=535,driver\u003c536 brand=nvidia,driver\u003e=535,driver\u003c536 brand=nvidiartx,driver\u003e=535,driver\u003c536 brand=geforce,driver\u003e=535,driver\u003c536 brand=geforcertx,driver\u003e=535,driver\u003c536 brand=quadro,driver\u003e=535,driver\u003c536 brand=quadrortx,driver\u003e=535,driver\u003c536 brand=titan,driver\u003e=535,driver\u003c536 brand=titanrtx,driver\u003e=535,driver\u003c536",
            "NV_CUDA_CUDART_VERSION=12.4.127-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4",
            "CUDA_VERSION=12.4.1",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=12.4.1-1",
            "NV_NVTX_VERSION=12.4.127-1",
            "NV_LIBNPP_VERSION=12.2.5.30-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.30-1",
            "NV_LIBCUSPARSE_VERSION=12.3.1.170-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4",
            "NV_LIBCUBLAS_VERSION=12.4.5.8-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.5.8-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1",
            "NCCL_VERSION=2.21.5-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.21.5-1+cuda12.4",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NV_CUDA_CUDART_DEV_VERSION=12.4.127-1",
            "NV_NVML_DEV_VERSION=12.4.127-1",
            "NV_LIBCUSPARSE_DEV_VERSION=12.3.1.170-1",
            "NV_LIBNPP_DEV_VERSION=12.2.5.30-1",
            "NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-4=12.2.5.30-1",
            "NV_LIBCUBLAS_DEV_VERSION=12.4.5.8-1",
            "NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-4",
            "NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-4=12.4.5.8-1",
            "NV_CUDA_NSIGHT_COMPUTE_VERSION=12.4.1-1",
            "NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-4=12.4.1-1",
            "NV_NVPROF_VERSION=12.4.127-1",
            "NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-4=12.4.127-1",
            "NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev",
            "NV_LIBNCCL_DEV_PACKAGE_VERSION=2.21.5-1",
            "NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.21.5-1+cuda12.4",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs",
            "PYTORCH_VERSION=2.5.1"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/workspace",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "com.nvidia.volumes.needed": "nvidia_driver",
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "22.04"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 13308032320,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/57a8fd54e267152d48be326ee014f763aefe213509216ac321a30eaf1f345a7f/diff:/var/lib/docker/overlay2/668d9fa197b3c0dc74b252a6b713858435f776c4251ad8898b2df8dbf75df45f/diff:/var/lib/docker/overlay2/9d94ca903b8e07c57c216035f31f2ec81562d1fb921d8e8507a975f86b5a557b/diff:/var/lib/docker/overlay2/370712fe4a9ca1b2dbb75e0a64b34de7bf94b9540388170fd91ec99b15411246/diff:/var/lib/docker/overlay2/08c2b2466ec7dba1aaad1ca06b3d71fff046d26070f5e7d90b12340398f8a9eb/diff:/var/lib/docker/overlay2/6761025c700b8228878db407b241b9b70db265bf2160f9f2d1d244cfb82844a1/diff:/var/lib/docker/overlay2/d88a581db1c9a705fa4ba18304002c8edaebb31316cc801b11fd372079d225ca/diff:/var/lib/docker/overlay2/8bca5e666adcb71ebb2cec6399fd99c46f0ae7b48923612e6e28b332f0f74216/diff:/var/lib/docker/overlay2/4b6f1cc2f821cc05bdc3e1c2e3714981a7b0137d08e839ad3ebf3d21df6ffbb9/diff:/var/lib/docker/overlay2/4d56443cab3ce475ab06a7c9eb690fada0519463d2626cccbab3d6fcd9306f07/diff:/var/lib/docker/overlay2/8347474e317915e4e9fddd051c2e87e49a9498d7649e09bbbb98f2c4b6faf76c/diff:/var/lib/docker/overlay2/d6b85236a4f439aa0b8b34be5c5461dc3754c6d9f98ffdb4b23478866a6b2962/diff:/var/lib/docker/overlay2/32d191b9858a988ae8e98bbaf3be276ebbf92e67f42854acb0c3184a9c2078b2/diff:/var/lib/docker/overlay2/9ddcc60d4748ba598919c2e03f0554e01df80384c69a78e1a22fff703d55f59f/diff",
            "MergedDir": "/var/lib/docker/overlay2/8c97c2d5e897753b74e2c3113af804e4618916ec6160f21293ba4efdc65d1fe4/merged",
            "UpperDir": "/var/lib/docker/overlay2/8c97c2d5e897753b74e2c3113af804e4618916ec6160f21293ba4efdc65d1fe4/diff",
            "WorkDir": "/var/lib/docker/overlay2/8c97c2d5e897753b74e2c3113af804e4618916ec6160f21293ba4efdc65d1fe4/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:e0a9f5911802534ba097660206feabeb0247a81e409029167b30e2e1f2803b57",
            "sha256:47654eeadbc543f1dd44ebb41c6ca0954b9f1813efabdcd46b0e7f17ac4e9fd1",
            "sha256:efe2b79b53de08e199a2ce107d83adc0cbdff94f605e03f5ef51f3df3ae31cfd",
            "sha256:46d54736d31f4bfeb749544e22e8611dba11128bdb2cebb820a3b452b50e7d52",
            "sha256:809d3bb9c80fb3d31d4c061ba0b38ba4e83b6329e33c2cb2bbf27251a8e527c6",
            "sha256:1ffbbe19418f9726ebb365371ef96637c68f9d25af3f76a4f01f760e87fb31be",
            "sha256:1b30dd39de2709bc00beebf392ea1f931d5f037d08e0f675a50855385cddad93",
            "sha256:89fd878224a017aead1d4c83d5c62749307aa6f1a9e22087144ef339c3df8c1e",
            "sha256:2b4acda8678c6f7ae0075eabb2c0c21078b80671800996ad2cf730f15fa0ef26",
            "sha256:5fb5b17c5835e3e44f7c48dfc15f29504febad945f26dcfa11470d0070b166e4",
            "sha256:b7fa3c6c5beea49f65d51f65f06a4a8af32b48f128c02bea3822e5afaf4ebf23",
            "sha256:132b1003eaccea7a837a5c0fed8fcb930ec4c9ef8c18a19f9d2cba8594d1c4e1",
            "sha256:2e2632ddbef4a1ff88b38a3189493a84b45e842da73ce124b98ff2ed5f61dbee",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:3d0d9a443ad359b95bbc69368e1aa30480619d110c223545ad43eccc9040f22c"
        ]
    },
    "Metadata": {
        "LastTagTime": "2024-11-06T00:59:54.434082524+08:00"
    }
}

更多版本

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

linux/amd64 docker.io7.71GB2024-07-18 11:25
11105

docker.io/pytorch/pytorch:2.0.1-cuda11.7-cudnn8-runtime

linux/amd64 docker.io6.48GB2024-07-26 13:31
4697

docker.io/pytorch/pytorch:2.3.0-cuda12.1-cudnn8-devel

linux/amd64 docker.io17.08GB2024-08-06 11:11
2678

docker.io/pytorch/pytorch:2.4.1-cuda12.4-cudnn9-runtime

linux/amd64 docker.io5.99GB2024-09-21 01:42
5068

docker.io/pytorch/pytorch:2.2.1-cuda12.1-cudnn8-runtime

linux/amd64 docker.io7.60GB2024-09-25 04:29
2964

docker.io/pytorch/pytorch:2.4.1-cuda11.8-cudnn9-runtime

linux/amd64 docker.io6.36GB2024-09-28 00:59
2179

docker.io/pytorch/pytorch:2.1.0-cuda11.8-cudnn8-devel

linux/amd64 docker.io17.39GB2024-10-02 00:43
2812

docker.io/pytorch/pytorch:2.4.1-cuda11.8-cudnn9-devel

linux/amd64 docker.io13.63GB2024-10-23 00:32
2023

docker.io/pytorch/pytorch:2.0.1-cuda11.7-cudnn8-devel

linux/amd64 docker.io13.17GB2024-11-01 00:22
1909

docker.io/pytorch/pytorch:2.5.1-cuda12.4-cudnn9-devel

linux/amd64 docker.io13.31GB2024-11-06 01:09
3177

docker.io/pytorch/pytorch:2.5.1-cuda12.4-cudnn9-runtime

linux/amd64 docker.io6.14GB2024-11-06 01:24
5208

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

linux/amd64 docker.io6.13GB2024-11-06 01:38
1755

docker.io/pytorch/pytorch:2.5.0-cuda12.4-cudnn9-devel

linux/amd64 docker.io13.30GB2024-11-06 01:51
1649

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

linux/amd64 docker.io5.90GB2024-11-07 00:14
3651

docker.io/pytorch/pytorch:2.3.1-cuda11.8-cudnn8-runtime

linux/amd64 docker.io8.17GB2024-11-08 00:19
3115

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

linux/amd64 docker.io17.08GB2024-11-08 00:39
1718

docker.io/pytorch/pytorch:1.13.1-cuda11.6-cudnn8-devel

linux/amd64 docker.io17.52GB2024-11-08 01:12
2311

docker.io/pytorch/pytorch:2.1.2-cuda11.8-cudnn8-devel

linux/amd64 docker.io17.33GB2024-12-10 00:33
1127

docker.io/pytorch/pytorch:2.2.0-cuda12.1-cudnn8-devel

linux/amd64 docker.io16.99GB2024-12-15 00:21
1789

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

linux/amd64 docker.io16.58GB2024-12-20 00:05
1727

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

linux/amd64 docker.io7.22GB2025-01-10 00:32
1586

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

linux/amd64 docker.io13.10GB2025-01-11 00:22
1722

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

linux/amd64 docker.io17.74GB2025-01-18 01:16
1717

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

linux/amd64 docker.io17.70GB2025-02-18 00:39
813

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

linux/amd64 docker.io13.16GB2025-02-18 01:17
3079

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

linux/amd64 docker.io6.06GB2025-02-27 00:51
3675

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

linux/amd64 docker.io12.84GB2025-02-28 02:38
3213

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

linux/amd64 docker.io13.23GB2025-03-08 01:36
3136

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

linux/amd64 docker.io13.71GB2025-03-18 02:23
1388

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

linux/amd64 docker.io16.56GB2025-04-15 01:43
905

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

linux/amd64 docker.io7.70GB2025-04-25 04:37
3453

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

linux/amd64 docker.io7.04GB2025-04-28 16:22
1102

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

linux/amd64 docker.io6.32GB2025-05-07 02:16
1447

docker.io/pytorch/pytorch:latest

linux/amd64 docker.io7.60GB2025-05-14 01:17
2113

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

linux/amd64 docker.io16.99GB2025-05-22 02:12
1514

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

linux/amd64 docker.io7.60GB2025-07-02 00:58
2940

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

linux/amd64 docker.io16.89GB2025-07-18 04:22
2059

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

linux/amd64 docker.io7.70GB2025-07-24 01:22
1168

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

linux/amd64 docker.io5.93GB2025-07-24 02:12
1309

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

linux/amd64 docker.io6.48GB2025-08-05 01:42
1056

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

linux/amd64 docker.io18.46GB2025-08-28 02:21
2359

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

linux/amd64 docker.io16.93GB2025-09-11 01:44
1489

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

linux/amd64 docker.io13.76GB2025-10-12 02:59
782

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

linux/amd64 docker.io7.69GB2025-10-25 00:53
1808

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

linux/amd64 docker.io12.86GB2025-11-01 00:22
865

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

linux/amd64 docker.io5.68GB2025-11-06 02:58
1633

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

linux/amd64 docker.io18.57GB2025-11-10 00:45
497

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

linux/amd64 docker.io8.06GB2025-11-22 01:41
842

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

linux/amd64 docker.io7.20GB2025-12-04 00:11
743

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

linux/amd64 docker.io8.38GB2025-12-10 01:22
768

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

linux/amd64 docker.io7.97GB2025-12-12 00:37
1537

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

linux/amd64 docker.io17.21GB2025-12-12 01:02
1771

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

linux/amd64 docker.io6.35GB2025-12-13 01:45
897

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

linux/amd64 docker.io12.86GB2025-12-16 01:48
766

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

linux/amd64 docker.io11.97GB2025-12-16 02:38
492

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

linux/amd64 docker.io7.12GB2026-01-11 00:39
709

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

linux/amd64 docker.io16.47GB2026-01-21 01:16
574

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

linux/amd64 docker.io13.52GB2026-02-28 02:06
377

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

linux/amd64 docker.io17.09GB2026-03-11 02:39
605

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

linux/amd64 docker.io12.94GB2026-03-20 02:29
680

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

linux/amd64 docker.io13.44GB2026-04-21 02:09
383

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

linux/amd64 docker.io14.96GB2026-04-21 02:15
376

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

linux/amd64 docker.io21.29GB2026-04-30 03:39
480

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

linux/amd64 docker.io7.06GB2026-04-30 03:55
402

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

linux/amd64 docker.io14.06GB2026-06-06 02:30
204

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

linux/amd64 docker.io5.59GB2026-06-11 04:30
287

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

linux/amd64 docker.io12.85GB2026-07-04 02:22
163

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

linux/amd64 docker.io7.96GB2026-07-14 03:39
183

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

linux/amd64 docker.io5.60GB2026-07-29 02:11
126

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

linux/amd64 docker.io20.68GB2026-08-09 05:22
107

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

linux/amd64 docker.io19.93GB2026-08-18 00:54
69

docker.io/pytorch/pytorch:2.11.0-cuda12.8-cudnn9-runtime

linux/amd64 docker.io7.74GB2026-08-26 00:05
57
检测到您正在使用广告拦截插件,本站为公益站点,依赖广告维持运转 🙏 查看如何关闭 ×