docker.io/wallies/python-cuda:3.11-cuda12.2-runtime linux/amd64

docker.io/wallies/python-cuda:3.11-cuda12.2-runtime - 国内下载镜像源浏览次数:85

以下是关于docker.io/wallies/python-cuda镜像的描述信息： Python 3.x 和 CUDA 的结合镜像。

这个镜像是基于Python 3.x构建的，在此基础上添加了CUDA支持，使得你可以使用GPU进行一些计算任务。

源镜像	docker.io/wallies/python-cuda:3.11-cuda12.2-runtime
国内镜像	swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wallies/python-cuda:3.11-cuda12.2-runtime
镜像ID	sha256:86a05182837cff627832c94084aa25eff2624103c80934e8e21e714b0c2cc302
镜像TAG	3.11-cuda12.2-runtime
大小	2.61GB
镜像源	docker.io
项目信息	Docker-Hub主页 🚀项目TAG 🚀
CMD	python3
启动入口	/opt/nvidia/nvidia_entrypoint.sh
工作目录
OS/平台	linux/amd64
浏览量	85 次
贡献者
镜像创建	2024-12-17T03:46:02.464265466Z
同步时间	2024-12-17 13:45
更新时间	2025-02-20 23:26

环境变量

PATH=/usr/local/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>=12.2 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 NV_CUDA_CUDART_VERSION=12.2.140-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2 CUDA_VERSION=12.2.2 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.2.2-1 NV_NVTX_VERSION=12.2.140-1 NV_LIBNPP_VERSION=12.2.1.4-1 NV_LIBNPP_PACKAGE=libnpp-12-2=12.2.1.4-1 NV_LIBCUSPARSE_VERSION=12.1.2.141-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-2 NV_LIBCUBLAS_VERSION=12.2.5.6-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-2=12.2.5.6-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.19.3-1 NCCL_VERSION=2.19.3-1 NV_LIBNCCL_PACKAGE=libnccl2=2.19.3-1+cuda12.2 NVIDIA_PRODUCT_NAME=CUDA DEBIAN_FRONTEND=noninteractive LANG=C.UTF-8 GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D PYTHON_VERSION=3.11.7 PYTHON_PIP_VERSION=23.2.1 PYTHON_SETUPTOOLS_VERSION=65.5.1 PYTHON_GET_PIP_URL=https://github.com/pypa/get-pip/raw/049c52c665e8c5fd1751f942316e0a5c777d304f/public/get-pip.py PYTHON_GET_PIP_SHA256=7cfd4bdc4d475ea971f1c0710a5953bcc704d171f83c797b9529d9974502fcc6

镜像标签

NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer 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: 2024-12-17 13:47

低危漏洞:177

中危漏洞:763

高危漏洞:2

严重漏洞:0

docker.io/wallies/python-cuda:3.11-cuda12.2-runtime (ubuntu 22.04) (ubuntu)

Python (python-pkg)

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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/wallies/python-cuda:3.11-cuda12.2-runtime
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wallies/python-cuda:3.11-cuda12.2-runtime  docker.io/wallies/python-cuda:3.11-cuda12.2-runtime

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wallies/python-cuda:3.11-cuda12.2-runtime
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wallies/python-cuda:3.11-cuda12.2-runtime  docker.io/wallies/python-cuda:3.11-cuda12.2-runtime

Shell快速替换命令

sed -i 's#wallies/python-cuda:3.11-cuda12.2-runtime#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wallies/python-cuda:3.11-cuda12.2-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/wallies/python-cuda:3.11-cuda12.2-runtime && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wallies/python-cuda:3.11-cuda12.2-runtime  docker.io/wallies/python-cuda:3.11-cuda12.2-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/wallies/python-cuda:3.11-cuda12.2-runtime && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wallies/python-cuda:3.11-cuda12.2-runtime  docker.io/wallies/python-cuda:3.11-cuda12.2-runtime'

镜像构建历史


# 2024-12-17 11:46:02  0.00B 设置默认要执行的命令
CMD ["python3"]
                        
# 2024-12-17 11:46:02  11.15MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux;         wget -O get-pip.py "$PYTHON_GET_PIP_URL";     echo "$PYTHON_GET_PIP_SHA256 *get-pip.py" | sha256sum -c -;         export PYTHONDONTWRITEBYTECODE=1;         python get-pip.py         --disable-pip-version-check         --no-cache-dir         --no-compile         "pip==$PYTHON_PIP_VERSION"         "setuptools==$PYTHON_SETUPTOOLS_VERSION"     ;     rm -f get-pip.py;         pip --version # buildkit
                        
# 2024-12-17 11:45:57  0.00B 设置环境变量 PYTHON_GET_PIP_SHA256
ENV PYTHON_GET_PIP_SHA256=7cfd4bdc4d475ea971f1c0710a5953bcc704d171f83c797b9529d9974502fcc6
                        
# 2024-12-17 11:45:57  0.00B 设置环境变量 PYTHON_GET_PIP_URL
ENV PYTHON_GET_PIP_URL=https://github.com/pypa/get-pip/raw/049c52c665e8c5fd1751f942316e0a5c777d304f/public/get-pip.py
                        
# 2024-12-17 11:45:57  0.00B 设置环境变量 PYTHON_SETUPTOOLS_VERSION
ENV PYTHON_SETUPTOOLS_VERSION=65.5.1
                        
# 2024-12-17 11:45:57  0.00B 设置环境变量 PYTHON_PIP_VERSION
ENV PYTHON_PIP_VERSION=23.2.1
                        
# 2024-12-17 11:45:57  32.00B 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux;     for src in idle3 pydoc3 python3 python3-config; do         dst="$(echo "$src" | tr -d 3)";         [ -s "/usr/local/bin/$src" ];         [ ! -e "/usr/local/bin/$dst" ];         ln -svT "$src" "/usr/local/bin/$dst";     done # buildkit
                        
# 2024-12-17 11:45:57  406.82MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux;         savedAptMark="$(apt-mark showmanual)";     apt-get update;     apt-get install -y --no-install-recommends         dpkg-dev         gcc         gnupg         libbluetooth-dev         libbz2-dev         libc6-dev         libdb-dev         libexpat1-dev         libffi-dev         libgdbm-dev         liblzma-dev         libncursesw5-dev         libreadline-dev         libsqlite3-dev         libssl-dev         make         tk-dev         uuid-dev         wget         xz-utils         zlib1g-dev     ;         wget -O python.tar.xz "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz";     wget -O python.tar.xz.asc "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz.asc";     GNUPGHOME="$(mktemp -d)"; export GNUPGHOME;     gpg --batch --keyserver hkps://keys.openpgp.org --recv-keys "$GPG_KEY";     gpg --batch --verify python.tar.xz.asc python.tar.xz;     gpgconf --kill all;     rm -rf "$GNUPGHOME" python.tar.xz.asc;     mkdir -p /usr/src/python;     tar --extract --directory /usr/src/python --strip-components=1 --file python.tar.xz;     rm python.tar.xz;         cd /usr/src/python;     gnuArch="$(dpkg-architecture --query DEB_BUILD_GNU_TYPE)";     ./configure         --build="$gnuArch"         --enable-loadable-sqlite-extensions         --enable-optimizations         --enable-option-checking=fatal         --enable-shared         --with-lto         --with-system-expat         --without-ensurepip     ;     nproc="$(nproc)";     EXTRA_CFLAGS="$(dpkg-buildflags --get CFLAGS)";     LDFLAGS="$(dpkg-buildflags --get LDFLAGS)";     make -j "$nproc"         "EXTRA_CFLAGS=${EXTRA_CFLAGS:-}"         "LDFLAGS=${LDFLAGS:-}"         "PROFILE_TASK=${PROFILE_TASK:-}"     ;     rm python;     make -j "$nproc"         "EXTRA_CFLAGS=${EXTRA_CFLAGS:-}"         "LDFLAGS=${LDFLAGS:--Wl},-rpath='\$\$ORIGIN/../lib'"         "PROFILE_TASK=${PROFILE_TASK:-}"         python     ;     make install;         bin="$(readlink -ve /usr/local/bin/python3)";     dir="$(dirname "$bin")";     mkdir -p "/usr/share/gdb/auto-load/$dir";     cp -vL Tools/gdb/libpython.py "/usr/share/gdb/auto-load/$bin-gdb.py";         cd /;     rm -rf /usr/src/python;         find /usr/local -depth         \(             \( -type d -a \( -name test -o -name tests -o -name idle_test \) \)             -o \( -type f -a \( -name '*.pyc' -o -name '*.pyo' -o -name 'libpython*.a' \) \)         \) -exec rm -rf '{}' +     ;         ldconfig;         python3 --version # buildkit
                        
# 2024-12-17 11:37:36  0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.11.7
                        
# 2024-12-17 11:37:36  0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D
                        
# 2024-12-17 11:37:36  5.45MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux;     apt-get update;     apt-get install -y --no-install-recommends         ca-certificates         netbase         tzdata     ;     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-12-17 11:37:36  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2024-12-17 11:37:36  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2024-12-17 11:37:36  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2023-11-10 12:59:11  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-11-10 12:59:11  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-11-10 12:59:11  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2023-11-10 12:59:11  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2023-11-10 12:59:11  261.40KB 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
                        
# 2023-11-10 12:59:10  1.95GB 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-12-2=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-2=${NV_NVTX_VERSION}     libcusparse-12-2=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 12:59:10  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 12:59:10  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.19.3-1+cuda12.2
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.19.3-1
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.19.3-1
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-2=12.2.5.6-1
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.2.5.6-1
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-2
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.1.2.141-1
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-2=12.2.1.4-1
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.2.1.4-1
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.2.140-1
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.2.2-1
                        
# 2023-11-10 12:57:28  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-10 12:57:28  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-10 12:57:28  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-11-10 12:57:28  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-11-10 12:57:28  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
                        
# 2023-11-10 12:57:28  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
                        
# 2023-11-10 12:57:28  150.49MB 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-12-2=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 12:56:27  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.2.2
                        
# 2023-11-10 12:56:27  10.56MB 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_1.0-1_all.deb &&     dpkg -i cuda-keyring_1.0-1_all.deb &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 12:56:27  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 12:56:27  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 12:56:27  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2
                        
# 2023-11-10 12:56:27  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.2.140-1
                        
# 2023-11-10 12:56:27  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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.2 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
                        
# 2023-11-10 12:56:27  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2023-10-05 15:33:32  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-10-05 15:33:32  77.82MB 
/bin/sh -c #(nop) ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in / 
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息

{
    "Id": "sha256:86a05182837cff627832c94084aa25eff2624103c80934e8e21e714b0c2cc302",
    "RepoTags": [
        "wallies/python-cuda:3.11-cuda12.2-runtime",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wallies/python-cuda:3.11-cuda12.2-runtime"
    ],
    "RepoDigests": [
        "wallies/python-cuda@sha256:2fc698ed73187274f22c02c16982a83fa11c4f7276ca1feeb15eefd1b2136bc9",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wallies/python-cuda@sha256:cc37b80a97455fef8bfa961f069aa141ba10c2ad54146a7299891a94aa9b1087"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2024-12-17T03:46:02.464265466Z",
    "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/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
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}

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镜像安全扫描 查看Trivy扫描报告

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