docker.io/paddlepaddle/paddle:2.5.0-gpu-cuda12.0-cudnn8.9-trt8.6 linux/amd64

docker.io/paddlepaddle/paddle:2.5.0-gpu-cuda12.0-cudnn8.9-trt8.6 - 国内下载镜像源 浏览次数:12

PaddlePaddle是中国最大的开源深度学习框架。它可以实现各种常见的机器学习算法，并支持多种编程语言，如Python、Java和C++。该镜像包含了PaddlePaddle的所有依赖包和预建环境，使您能够直接在容器中运行PaddlePaddle应用程序。

源镜像 docker.io/paddlepaddle/paddle:2.5.0-gpu-cuda12.0-cudnn8.9-trt8.6
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:2.5.0-gpu-cuda12.0-cudnn8.9-trt8.6
镜像ID sha256:0f237c05a5c8d242ac01c1825f05ef9791395372f3a9c80709d8295a9479e932
镜像TAG 2.5.0-gpu-cuda12.0-cudnn8.9-trt8.6
大小 22.04GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录 /home
OS/平台 linux/amd64
浏览量 12 次
贡献者
镜像创建 2023-06-25T11:23:37.405298138+08:00
同步时间 2025-01-17 01:39
更新时间 2025-01-18 09:37
开放端口
22/tcp
环境变量
PATH=/home/cmake-3.16.0-Linux-x86_64/bin:/usr/local/gcc-12.2/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/go/bin:/root/gopath/bin NVARCH=x86_64 NVIDIA_REQUIRE_CUDA=cuda>=12.0 brand=tesla,driver>=450,driver<451 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>=510,driver<511 brand=unknown,driver>=510,driver<511 brand=nvidia,driver>=510,driver<511 brand=nvidiartx,driver>=510,driver<511 brand=geforce,driver>=510,driver<511 brand=geforcertx,driver>=510,driver<511 brand=quadro,driver>=510,driver<511 brand=quadrortx,driver>=510,driver<511 brand=titan,driver>=510,driver<511 brand=titanrtx,driver>=510,driver<511 brand=tesla,driver>=515,driver<516 brand=unknown,driver>=515,driver<516 brand=nvidia,driver>=515,driver<516 brand=nvidiartx,driver>=515,driver<516 brand=geforce,driver>=515,driver<516 brand=geforcertx,driver>=515,driver<516 brand=quadro,driver>=515,driver<516 brand=quadrortx,driver>=515,driver<516 brand=titan,driver>=515,driver<516 brand=titanrtx,driver>=515,driver<516 NV_CUDA_CUDART_VERSION=12.0.146-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-0 CUDA_VERSION=12.0.1 LD_LIBRARY_PATH=/usr/local/TensorRT-8.6.1.6/lib:/usr/local/cuda-12.0/targets/x86_64-linux/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.0.1-1 NV_NVTX_VERSION=12.0.140-1 NV_LIBNPP_VERSION=12.0.1.104-1 NV_LIBNPP_PACKAGE=libnpp-12-0=12.0.1.104-1 NV_LIBCUSPARSE_VERSION=12.0.1.140-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-0 NV_LIBCUBLAS_VERSION=12.0.2.224-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-0=12.0.2.224-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1 NCCL_VERSION=2.17.1-1 NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.0 NVIDIA_PRODUCT_NAME=CUDA NV_CUDA_CUDART_DEV_VERSION=12.0.146-1 NV_NVML_DEV_VERSION=12.0.140-1 NV_LIBCUSPARSE_DEV_VERSION=12.0.1.140-1 NV_LIBNPP_DEV_VERSION=12.0.1.104-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-0=12.0.1.104-1 NV_LIBCUBLAS_DEV_VERSION=12.0.2.224-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-0 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-0=12.0.2.224-1 NV_NVPROF_VERSION=12.0.146-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-0=12.0.146-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.17.1-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.17.1-1+cuda12.0 LIBRARY_PATH=/usr/local/cuda/lib64/stubs WITH_GPU=ON WITH_AVX=ON DEBIAN_FRONTEND=noninteractive HOME=/root CUDNN_VERSION=8.9.1 GOROOT=/usr/local/go GOPATH=/root/gopath
镜像标签
NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 20.04: 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/paddlepaddle/paddle:2.5.0-gpu-cuda12.0-cudnn8.9-trt8.6
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:2.5.0-gpu-cuda12.0-cudnn8.9-trt8.6  docker.io/paddlepaddle/paddle:2.5.0-gpu-cuda12.0-cudnn8.9-trt8.6

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:2.5.0-gpu-cuda12.0-cudnn8.9-trt8.6
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:2.5.0-gpu-cuda12.0-cudnn8.9-trt8.6  docker.io/paddlepaddle/paddle:2.5.0-gpu-cuda12.0-cudnn8.9-trt8.6

Shell快速替换命令 

sed -i 's#paddlepaddle/paddle:2.5.0-gpu-cuda12.0-cudnn8.9-trt8.6#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:2.5.0-gpu-cuda12.0-cudnn8.9-trt8.6#' 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/paddlepaddle/paddle:2.5.0-gpu-cuda12.0-cudnn8.9-trt8.6 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:2.5.0-gpu-cuda12.0-cudnn8.9-trt8.6  docker.io/paddlepaddle/paddle:2.5.0-gpu-cuda12.0-cudnn8.9-trt8.6'

Ansible快速分发-Containerd 

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:2.5.0-gpu-cuda12.0-cudnn8.9-trt8.6 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:2.5.0-gpu-cuda12.0-cudnn8.9-trt8.6  docker.io/paddlepaddle/paddle:2.5.0-gpu-cuda12.0-cudnn8.9-trt8.6'

镜像构建历史 


# 2023-06-25 11:23:37  54.31KB 执行命令并创建新的镜像层
RUN /bin/sh -c ldconfig # buildkit
                        
# 2023-06-25 11:23:37  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/TensorRT-8.6.1.6/lib:/usr/local/cuda-12.0/targets/x86_64-linux/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-06-25 11:23:36  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c pip cache purge # buildkit
                        
# 2023-06-25 11:23:36  2.91GB 执行命令并创建新的镜像层
RUN /bin/sh -c python -m pip install https://paddle-wheel.bj.bcebos.com/2.5.0/linux/linux-gpu-cuda12.0-cudnn8.9-mkl-gcc12.2-avx/paddlepaddle_gpu-2.5.0.post120-cp310-cp310-linux_x86_64.whl # buildkit
                        
# 2023-06-25 11:23:04  13.97MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install -U pip -i https://pypi.tuna.tsinghua.edu.cn/simple # buildkit
                        
# 2023-06-15 14:51:35  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c rm -rf go1.17.2.linux-amd64.tar.gz # buildkit
                        
# 2023-06-12 20:14:02  0.00B 
/bin/sh -c #(nop)  EXPOSE 22
                        
# 2023-06-12 20:13:56  752.62MB 
/bin/sh -c wget https://paddle-ci.cdn.bcebos.com/clang+llvm-3.8.0-x86_64-linux-gnu-ubuntu-16.04.tar.xz &&     tar xf clang+llvm-3.8.0-x86_64-linux-gnu-ubuntu-16.04.tar.xz && cd clang+llvm-3.8.0-x86_64-linux-gnu-ubuntu-16.04 &&     cp -rn * /usr/local && cd .. && rm -rf clang+llvm-3.8.0-x86_64-linux-gnu-ubuntu-16.04 && rm -rf clang+llvm-3.8.0-x86_64-linux-gnu-ubuntu-16.04.tar.xz
                        
# 2023-06-12 20:13:03  558.31KB 
/bin/sh -c wget https://paddle-ci.gz.bcebos.com/ccache-3.7.9.tar.gz &&     tar xf ccache-3.7.9.tar.gz && mkdir /usr/local/ccache-3.7.9 && cd ccache-3.7.9 &&     ./configure -prefix=/usr/local/ccache-3.7.9 &&     make -j8 && make install &&     ln -s /usr/local/ccache-3.7.9/bin/ccache /usr/local/bin/ccache &&     cd ../ && rm -rf ccache-3.7.9 ccache-3.7.9.tar.gz
                        
# 2023-06-12 20:12:46  83.54MB 
/bin/sh -c pip3.10 --no-cache-dir install -r /root/requirements.txt
                        
# 2023-06-12 20:12:27  196.00B 
/bin/sh -c #(nop) COPY file:64e0a349a0de20bd112d8378cc89300f32643a2df3436d06e6795fb791eb9633 in /root/ 
                        
# 2023-06-12 20:12:25  17.51MB 
/bin/sh -c pip3.10 --no-cache-dir install pre-commit==2.17.0 pylint==2.15.0 &&     pip3.10 --no-cache-dir install cpplint==1.6.0 clang-format==13.0.0
                        
# 2023-06-12 20:12:07  11.83MB 
/bin/sh -c pip3.10 --no-cache-dir install --upgrade pip==23.0
                        
# 2023-06-12 20:11:57  5.76MB 
/bin/sh -c pip3.10 --no-cache-dir install pytest astroid isort
                        
# 2023-06-12 20:11:48  24.39MB 
/bin/sh -c pip3.10 --no-cache-dir install ipython==5.3.0 &&     pip3.10 --no-cache-dir install ipykernel==4.6.0 wheel
                        
# 2023-06-12 20:11:04  6.19MB 
/bin/sh -c localedef -i en_US -f UTF-8 en_US.UTF-8
                        
# 2023-06-12 20:10:58  649.00B 
/bin/sh -c git config --global credential.helper store
                        
# 2023-06-12 20:10:55  10.01MB 
/bin/sh -c apt-get install -y golang-glide
                        
# 2023-06-12 19:22:02  0.00B 
/bin/sh -c #(nop)  ENV PATH=/home/cmake-3.16.0-Linux-x86_64/bin:/usr/local/gcc-12.2/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/go/bin:/root/gopath/bin
                        
# 2023-06-12 19:22:00  0.00B 
/bin/sh -c #(nop)  ENV GOROOT=/usr/local/go GOPATH=/root/gopath
                        
# 2023-06-12 19:21:55  542.58MB 
/bin/sh -c wget --no-check-certificate  https://paddle-ci.gz.bcebos.com/go1.17.2.linux-amd64.tar.gz &&     tar -xzf go1.17.2.linux-amd64.tar.gz &&     mv go /usr/local &&     mkdir /root/gopath &&     mkdir /root/gopath/bin &&     mkdir /root/gopath/src
                        
# 2023-06-12 19:20:55  119.57MB 
/bin/sh -c wget -q https://ftp.gnu.org/gnu/binutils/binutils-2.33.1.tar.gz &&     tar -xzf binutils-2.33.1.tar.gz &&     cd binutils-2.33.1 &&     ./configure && make -j && make install && cd .. && rm -rf binutils-2.33.1 binutils-2.33.1.tar.gz
                        
# 2023-06-12 19:18:46  44.00B 
/bin/sh -c rm /usr/local/bin/pip && ln -s /usr/local/bin/pip3.10 /usr/local/bin/pip &&   rm /usr/local/bin/pip3 && ln -s /usr/local/bin/pip3.10 /usr/local/bin/pip3
                        
# 2023-06-12 19:18:43  0.00B 
/bin/sh -c rm setuptools-50.3.2.zip pip-20.0.1.tar.gz &&     rm -r setuptools-50.3.2 pip-20.0.1
                        
# 2023-06-12 19:18:40  0.00B 
/bin/sh -c #(nop) WORKDIR /home
                        
# 2023-06-12 19:18:38  15.00MB 
/bin/sh -c python3.10 setup.py install
                        
# 2023-06-12 19:18:31  0.00B 
/bin/sh -c #(nop) WORKDIR /home/pip-20.0.1
                        
# 2023-06-12 19:18:30  6.38MB 
/bin/sh -c wget https://files.pythonhosted.org/packages/28/af/2c76c8aa46ccdf7578b83d97a11a2d1858794d4be4a1610ade0d30182e8b/pip-20.0.1.tar.gz && tar -zxvf pip-20.0.1.tar.gz
                        
# 2023-06-12 19:18:26  0.00B 
/bin/sh -c #(nop) WORKDIR /home
                        
# 2023-06-12 19:18:24  6.48MB 
/bin/sh -c python3.10 setup.py build && python3.10 setup.py install
                        
# 2023-06-12 19:18:19  0.00B 
/bin/sh -c #(nop) WORKDIR /home/setuptools-50.3.2
                        
# 2023-06-12 19:18:17  7.31MB 
/bin/sh -c wget https://files.pythonhosted.org/packages/a7/e0/30642b9c2df516506d40b563b0cbd080c49c6b3f11a70b4c7a670f13a78b/setuptools-50.3.2.zip && apt-get -y install unzip && unzip setuptools-50.3.2.zip
                        
# 2023-06-12 19:18:09  0.00B 
/bin/sh -c #(nop) WORKDIR /home
                        
# 2023-06-12 19:18:07  80.52MB 
/bin/sh -c apt-get update &&   apt-get install -y python3.10 python3.10-dev python3.10-distutils  python-is-python3 &&   rm /usr/bin/python && ln -s /usr/bin/python3.10 /usr/bin/python &&   rm /usr/bin/python3 && ln -s /usr/bin/python3.10 /usr/bin/python3
                        
# 2023-06-12 19:16:41  0.00B 
/bin/sh -c #(nop)  ENV PATH=/home/cmake-3.16.0-Linux-x86_64/bin:/usr/local/gcc-12.2/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2023-06-12 19:16:38  107.23MB 
/bin/sh -c wget -q https://cmake.org/files/v3.16/cmake-3.16.0-Linux-x86_64.tar.gz && tar -zxvf cmake-3.16.0-Linux-x86_64.tar.gz && rm cmake-3.16.0-Linux-x86_64.tar.gz
                        
# 2023-06-12 19:13:59  0.00B 
/bin/sh -c #(nop) WORKDIR /home
                        
# 2023-06-12 19:13:58  0.00B 
/bin/sh -c #(nop)  ENV PATH=/usr/local/gcc-12.2/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2023-06-12 19:13:56  27.00B 
/bin/sh -c ln -s /usr/local/gcc-12.2/bin/g++ /usr/bin/g++
                        
# 2023-06-12 19:13:53  27.00B 
/bin/sh -c ln -s /usr/local/gcc-12.2/bin/gcc /usr/bin/gcc
                        
# 2023-06-12 19:13:50  27.00B 
/bin/sh -c ln -s /usr/local/gcc-12.2/bin/g++ /usr/local/bin/g++
                        
# 2023-06-12 19:13:46  27.00B 
/bin/sh -c ln -s /usr/local/gcc-12.2/bin/gcc /usr/local/bin/gcc
                        
# 2023-06-12 19:13:43  2.32MB 
/bin/sh -c cp gcc gcc.bak && cp g++ g++.bak && rm gcc && rm g++
                        
# 2023-06-12 19:13:31  1.35GB 
/bin/sh -c bash /build_scripts/install_gcc.sh gcc122 && rm -rf /build_scripts
                        
# 2023-06-12 18:25:22  3.63MB 
/bin/sh -c bash /build_scripts/install_patchelf.sh
                        
# 2023-06-12 18:24:39  7.00GB 
/bin/sh -c bash /build_scripts/install_trt.sh trt8616
                        
# 2023-06-12 18:18:09  0.00B 
/bin/sh -c #(nop)  ENV CUDNN_VERSION=8.9.1
                        
# 2023-06-12 18:17:53  2.51GB 
/bin/sh -c bash /build_scripts/install_cudnn.sh cudnn891
                        
# 2023-06-12 18:14:07  37.68KB 
/bin/sh -c #(nop) COPY dir:d6a6b536f23d09bba7fd53fcb81c10fb58da8a1e7a346477d4c95d4a6eb6bd17 in /build_scripts 
                        
# 2023-05-25 11:30:20  0.00B 
/bin/sh -c #(nop) WORKDIR /usr/bin
                        
# 2023-05-25 11:30:14  504.84MB 
/bin/sh -c apt-get update --allow-unauthenticated &&   apt-get install -y software-properties-common && add-apt-repository ppa:deadsnakes/ppa &&   apt-get update &&   apt-get install -y curl wget vim git unzip unrar tar xz-utils libssl-dev bzip2 gzip     coreutils ntp language-pack-zh-hans libsm6 libxext6 libxrender-dev libgl1-mesa-glx     bison graphviz libjpeg-dev zlib1g-dev automake locales swig net-tools libtool kmod
                        
# 2023-05-25 11:24:47  0.00B 
/bin/sh -c apt-key adv --fetch-keys https://developer.download.nvidia.cn/compute/cuda/repos/ubuntu2004/x86_64/3bf863cc.pub
                        
# 2023-05-25 11:24:43  0.00B 
/bin/sh -c rm /etc/apt/sources.list.d/*
                        
# 2023-05-25 11:24:40  0.00B 
/bin/sh -c apt-key del 7fa2af80
                        
# 2023-05-25 11:24:36  0.00B 
/bin/sh -c chmod 777 /tmp
                        
# 2023-05-25 11:24:32  1.29KB 
/bin/sh -c #(nop) COPY dir:9ed1d5b93d3297e4db56e1653c842cbbcf1da570c0847212c33f84d30915708c in /root/ 
                        
# 2023-05-25 11:24:32  0.00B 
/bin/sh -c #(nop)  ENV HOME=/root
                        
# 2023-05-25 11:24:30  0.00B 
/bin/sh -c #(nop)  ENV LD_LIBRARY_PATH=/usr/local/cuda-12.0/targets/x86_64-linux/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-05-25 11:24:29  0.00B 
/bin/sh -c #(nop)  ENV DEBIAN_FRONTEND=noninteractive
                        
# 2023-05-25 11:24:27  0.00B 
/bin/sh -c #(nop)  ENV WITH_AVX=ON
                        
# 2023-05-25 11:24:26  0.00B 
/bin/sh -c #(nop)  ENV WITH_GPU=ON
                        
# 2023-05-25 11:24:24  0.00B 
/bin/sh -c #(nop)  ARG WITH_AVX
                        
# 2023-05-25 11:24:23  0.00B 
/bin/sh -c #(nop)  ARG WITH_GPU
                        
# 2023-05-25 11:24:21  0.00B 
/bin/sh -c #(nop)  MAINTAINER PaddlePaddle Authors <paddle-dev@baidu.com>
                        
# 2023-03-08 06:06:00  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2023-03-08 06:06:00  377.48KB 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
                        
# 2023-03-08 06:05:59  3.44GB 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     libtinfo5 libncursesw5     cuda-cudart-dev-12-0=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-12-0=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-12-0=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-12-0=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-12-0=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-12-0=${NV_LIBCUSPARSE_DEV_VERSION}     ${NV_LIBCUBLAS_DEV_PACKAGE}     ${NV_LIBNCCL_DEV_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-03-08 06:05:59  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-03-08 06:05:59  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-03-08 06:05:59  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.17.1-1+cuda12.0
                        
# 2023-03-08 06:05:59  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.17.1-1
                        
# 2023-03-08 06:05:59  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.17.1-1
                        
# 2023-03-08 06:05:59  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2023-03-08 06:05:59  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-0=12.0.146-1
                        
# 2023-03-08 06:05:59  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.0.146-1
                        
# 2023-03-08 06:05:59  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-0=12.0.2.224-1
                        
# 2023-03-08 06:05:59  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-0
                        
# 2023-03-08 06:05:59  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.0.2.224-1
                        
# 2023-03-08 06:05:59  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-0=12.0.1.104-1
                        
# 2023-03-08 06:05:59  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.0.1.104-1
                        
# 2023-03-08 06:05:59  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.0.1.140-1
                        
# 2023-03-08 06:05:59  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.0.140-1
                        
# 2023-03-08 06:05:59  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.0.146-1
                        
# 2023-03-08 06:05:59  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.0.1-1
                        
# 2023-03-08 05:55:05  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-03-08 05:55:05  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-03-08 05:55:05  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2023-03-08 05:55:05  3.04KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2023-03-08 05:55:05  259.50KB 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
                        
# 2023-03-08 05:55:05  2.26GB 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-12-0=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-0=${NV_NVTX_VERSION}     libcusparse-12-0=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-03-08 05:55:05  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-03-08 05:55:05  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-03-08 05:55:05  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.0
                        
# 2023-03-08 05:55:05  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.17.1-1
                        
# 2023-03-08 05:55:05  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1
                        
# 2023-03-08 05:55:05  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2023-03-08 05:55:05  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-0=12.0.2.224-1
                        
# 2023-03-08 05:55:05  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.0.2.224-1
                        
# 2023-03-08 05:55:05  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-0
                        
# 2023-03-08 05:55:05  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.0.1.140-1
                        
# 2023-03-08 05:55:05  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-0=12.0.1.104-1
                        
# 2023-03-08 05:55:05  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.0.1.104-1
                        
# 2023-03-08 05:55:05  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.0.140-1
                        
# 2023-03-08 05:55:05  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.0.1-1
                        
# 2023-03-08 05:53:31  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-03-08 05:53:31  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-03-08 05:53:31  16.05KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-03-08 05:53:31  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-03-08 05:53:31  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
                        
# 2023-03-08 05:53:31  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
                        
# 2023-03-08 05:53:31  154.73MB 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-12-0=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-03-08 05:53:02  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.0.1
                        
# 2023-03-08 05:53:02  18.28MB 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 -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-03-08 05:53:02  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-03-08 05:53:02  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-03-08 05:53:02  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-0
                        
# 2023-03-08 05:53:02  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.0.146-1
                        
# 2023-03-08 05:53:02  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 brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.0 brand=tesla,driver>=450,driver<451 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>=510,driver<511 brand=unknown,driver>=510,driver<511 brand=nvidia,driver>=510,driver<511 brand=nvidiartx,driver>=510,driver<511 brand=geforce,driver>=510,driver<511 brand=geforcertx,driver>=510,driver<511 brand=quadro,driver>=510,driver<511 brand=quadrortx,driver>=510,driver<511 brand=titan,driver>=510,driver<511 brand=titanrtx,driver>=510,driver<511 brand=tesla,driver>=515,driver<516 brand=unknown,driver>=515,driver<516 brand=nvidia,driver>=515,driver<516 brand=nvidiartx,driver>=515,driver<516 brand=geforce,driver>=515,driver<516 brand=geforcertx,driver>=515,driver<516 brand=quadro,driver>=515,driver<516 brand=quadrortx,driver>=515,driver<516 brand=titan,driver>=515,driver<516 brand=titanrtx,driver>=515,driver<516
                        
# 2023-03-08 05:53:02  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2023-03-01 12:53:04  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-03-01 12:53:03  72.79MB 
/bin/sh -c #(nop) ADD file:3478fb5bdcf8ad03d450d48901a6a8452c0ab253f24d21b1e27f99259db2d26b in / 
                        
# 2023-03-01 12:53:02  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=20.04
                        
# 2023-03-01 12:53:01  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-03-01 12:53:01  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-03-01 12:53:01  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息 

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    "RepoTags": [
        "paddlepaddle/paddle:2.5.0-gpu-cuda12.0-cudnn8.9-trt8.6",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:2.5.0-gpu-cuda12.0-cudnn8.9-trt8.6"
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    "RepoDigests": [
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    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2023-06-25T11:23:37.405298138+08:00",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "PaddlePaddle Authors \u003cpaddle-dev@baidu.com\u003e",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "22/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/home/cmake-3.16.0-Linux-x86_64/bin:/usr/local/gcc-12.2/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/go/bin:/root/gopath/bin",
            "NVARCH=x86_64",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=12.0 brand=tesla,driver\u003e=450,driver\u003c451 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=510,driver\u003c511 brand=unknown,driver\u003e=510,driver\u003c511 brand=nvidia,driver\u003e=510,driver\u003c511 brand=nvidiartx,driver\u003e=510,driver\u003c511 brand=geforce,driver\u003e=510,driver\u003c511 brand=geforcertx,driver\u003e=510,driver\u003c511 brand=quadro,driver\u003e=510,driver\u003c511 brand=quadrortx,driver\u003e=510,driver\u003c511 brand=titan,driver\u003e=510,driver\u003c511 brand=titanrtx,driver\u003e=510,driver\u003c511 brand=tesla,driver\u003e=515,driver\u003c516 brand=unknown,driver\u003e=515,driver\u003c516 brand=nvidia,driver\u003e=515,driver\u003c516 brand=nvidiartx,driver\u003e=515,driver\u003c516 brand=geforce,driver\u003e=515,driver\u003c516 brand=geforcertx,driver\u003e=515,driver\u003c516 brand=quadro,driver\u003e=515,driver\u003c516 brand=quadrortx,driver\u003e=515,driver\u003c516 brand=titan,driver\u003e=515,driver\u003c516 brand=titanrtx,driver\u003e=515,driver\u003c516",
            "NV_CUDA_CUDART_VERSION=12.0.146-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-0",
            "CUDA_VERSION=12.0.1",
            "LD_LIBRARY_PATH=/usr/local/TensorRT-8.6.1.6/lib:/usr/local/cuda-12.0/targets/x86_64-linux/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=12.0.1-1",
            "NV_NVTX_VERSION=12.0.140-1",
            "NV_LIBNPP_VERSION=12.0.1.104-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-0=12.0.1.104-1",
            "NV_LIBCUSPARSE_VERSION=12.0.1.140-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-0",
            "NV_LIBCUBLAS_VERSION=12.0.2.224-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-12-0=12.0.2.224-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1",
            "NCCL_VERSION=2.17.1-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.0",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NV_CUDA_CUDART_DEV_VERSION=12.0.146-1",
            "NV_NVML_DEV_VERSION=12.0.140-1",
            "NV_LIBCUSPARSE_DEV_VERSION=12.0.1.140-1",
            "NV_LIBNPP_DEV_VERSION=12.0.1.104-1",
            "NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-0=12.0.1.104-1",
            "NV_LIBCUBLAS_DEV_VERSION=12.0.2.224-1",
            "NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-0",
            "NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-0=12.0.2.224-1",
            "NV_NVPROF_VERSION=12.0.146-1",
            "NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-0=12.0.146-1",
            "NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev",
            "NV_LIBNCCL_DEV_PACKAGE_VERSION=2.17.1-1",
            "NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.17.1-1+cuda12.0",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs",
            "WITH_GPU=ON",
            "WITH_AVX=ON",
            "DEBIAN_FRONTEND=noninteractive",
            "HOME=/root",
            "CUDNN_VERSION=8.9.1",
            "GOROOT=/usr/local/go",
            "GOPATH=/root/gopath"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/home",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
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    "Architecture": "amd64",
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    "Size": 22041818771,
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}

更多版本

docker.io/paddlepaddle/paddle:2.4.1-gpu-cuda11.7-cudnn8.4-trt8.4

linux/amd64 docker.io17.30GB2024-10-11 19:56
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docker.io/paddlepaddle/paddle:2.5.0-gpu-cuda12.0-cudnn8.9-trt8.6

linux/amd64 docker.io22.04GB2025-01-17 01:39
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