docker.io/paddlepaddle/paddle:2.6.2-gpu-cuda12.0-cudnn8.9-trt8.6 linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:2.6.2-gpu-cuda12.0-cudnn8.9-trt8.6
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:2.6.2-gpu-cuda12.0-cudnn8.9-trt8.6  docker.io/paddlepaddle/paddle:2.6.2-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:2.6.2-gpu-cuda12.0-cudnn8.9-trt8.6
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:2.6.2-gpu-cuda12.0-cudnn8.9-trt8.6  docker.io/paddlepaddle/paddle:2.6.2-gpu-cuda12.0-cudnn8.9-trt8.6

Shell快速替换命令

sed -i 's#paddlepaddle/paddle:2.6.2-gpu-cuda12.0-cudnn8.9-trt8.6#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:2.6.2-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:2.6.2-gpu-cuda12.0-cudnn8.9-trt8.6 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:2.6.2-gpu-cuda12.0-cudnn8.9-trt8.6  docker.io/paddlepaddle/paddle:2.6.2-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:2.6.2-gpu-cuda12.0-cudnn8.9-trt8.6 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:2.6.2-gpu-cuda12.0-cudnn8.9-trt8.6  docker.io/paddlepaddle/paddle:2.6.2-gpu-cuda12.0-cudnn8.9-trt8.6'

镜像构建历史

# 2024-09-13 14:34:01  56.06KB 
/bin/sh -c ldconfig
                        
# 2024-09-13 14:33:54  0.00B 
/bin/sh -c #(nop)  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
                        
# 2024-09-13 14:33:50  0.00B 
/bin/sh -c pip cache purge
                        
# 2024-09-13 14:33:43  4.01GB 
/bin/sh -c python -m pip install https://paddle-whl.bj.bcebos.com/stable/cu120/paddlepaddle-gpu/paddlepaddle_gpu-2.6.2.post120-cp310-cp310-linux_x86_64.whl
                        
# 2024-09-13 14:32:14  11.61MB 
/bin/sh -c pip install -U pip -i https://pypi.tuna.tsinghua.edu.cn/simple
                        
# 2023-11-14 17:09:11  0.00B 声明容器运行时监听的端口
EXPOSE map[22/tcp:{}]
                        
# 2023-11-14 17:09:11  754.26MB 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /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 # buildkit
                        
# 2023-11-14 17:08:50  43.23MB 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c wget -q https://paddle-ci.gz.bcebos.com/ccache-4.8.2.tar.gz &&     tar xf ccache-4.8.2.tar.gz && mkdir /usr/local/ccache-4.8.2 && cd ccache-4.8.2 &&     mkdir build && cd build &&     cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/usr/local/ccache-4.8.2 .. &&     make -j8 && make install &&     ln -s /usr/local/ccache-4.8.2/bin/ccache /usr/local/bin/ccache &&     cd ../../ && rm -rf ccache-4.8.2.tar.gz # buildkit
                        
# 2023-11-14 17:07:37  88.53MB 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c pip3.10 --no-cache-dir install -r /root/requirements.txt # buildkit
                        
# 2023-11-14 17:05:47  164.00B 复制新文件或目录到容器中
COPY ./python/requirements.txt /root/ # buildkit
                        
# 2023-11-14 17:05:46  44.00B 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c rm -f /usr/local/bin/pip && ln -s /usr/local/bin/pip3.10 /usr/local/bin/pip &&     rm -f /usr/local/bin/pip3 && ln -s /usr/local/bin/pip3.10 /usr/local/bin/pip3 # buildkit
                        
# 2023-11-14 17:05:46  6.19MB 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c localedef -i en_US -f UTF-8 en_US.UTF-8 # buildkit
                        
# 2023-11-14 17:05:44  649.00B 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c git config --global credential.helper store # buildkit
                        
# 2023-11-14 17:05:44  9.12MB 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c apt-get install -y golang-glide # buildkit
                        
# 2023-11-14 17:05:30  0.00B 设置环境变量 PATH
ENV PATH=/home/cmake-3.18.0-Linux-x86_64/bin:/usr/local/gcc-12.1/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
                        
# 2023-11-14 17:05:30  0.00B 设置环境变量 GOROOT GOPATH
ENV GOROOT=/usr/local/go GOPATH=/root/gopath
                        
# 2023-11-14 17:05:30  407.78MB 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c wget --no-check-certificate -qO- https://paddle-ci.gz.bcebos.com/go1.17.2.linux-amd64.tar.gz |     tar -xz -C /usr/local &&     mkdir /root/gopath &&     mkdir /root/gopath/bin &&     mkdir /root/gopath/src # buildkit
                        
# 2023-11-14 17:05:24  119.57MB 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /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 # buildkit
                        
# 2023-11-14 16:45:41  0.00B 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c rm setuptools-68.2.2.tar.gz pip-23.3.1.tar.gz &&     rm -r setuptools-68.2.2 pip-23.3.1 # buildkit
                        
# 2023-11-14 16:45:41  0.00B 设置工作目录为/home
WORKDIR /home
                        
# 2023-11-14 16:45:41  23.36MB 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c python3.10 setup.py install # buildkit
                        
# 2023-11-14 16:45:37  0.00B 设置工作目录为/home/pip-23.3.1
WORKDIR /home/pip-23.3.1
                        
# 2023-11-14 16:45:37  9.91MB 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c wget https://files.pythonhosted.org/packages/1f/7f/4da15e07ccd11c84c1ccc8f6e24288d5e76c99441bf80e315b33542db951/pip-23.3.1.tar.gz && tar -zxf pip-23.3.1.tar.gz # buildkit
                        
# 2023-11-14 16:45:32  0.00B 设置工作目录为/home
WORKDIR /home
                        
# 2023-11-14 16:45:31  10.89MB 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c python3.10 setup.py build && python3.10 setup.py install # buildkit
                        
# 2023-11-14 16:45:29  0.00B 设置工作目录为/home/setuptools-68.2.2
WORKDIR /home/setuptools-68.2.2
                        
# 2023-11-14 16:45:29  8.86MB 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c wget https://files.pythonhosted.org/packages/ef/cc/93f7213b2ab5ed383f98ce8020e632ef256b406b8569606c3f160ed8e1c9/setuptools-68.2.2.tar.gz && tar xf setuptools-68.2.2.tar.gz # buildkit
                        
# 2023-11-14 16:45:18  0.00B 设置工作目录为/home
WORKDIR /home
                        
# 2023-11-14 16:45:18  56.98MB 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c apt-get update &&   apt-get install -y python3.10 python3.10-dev python3.10-distutils &&   apt-get install 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 # buildkit
                        
# 2023-11-14 16:37:23  0.00B 设置环境变量 PATH
ENV PATH=/home/cmake-3.18.0-Linux-x86_64/bin:/usr/local/gcc-12.1/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2023-11-14 16:37:23  112.87MB 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c wget -q https://cmake.org/files/v3.18/cmake-3.18.0-Linux-x86_64.tar.gz && tar -zxvf cmake-3.18.0-Linux-x86_64.tar.gz && rm cmake-3.18.0-Linux-x86_64.tar.gz # buildkit
                        
# 2023-11-14 16:30:02  0.00B 设置工作目录为/home
WORKDIR /home
                        
# 2023-11-14 16:30:02  0.00B 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c rm -rf /build_script # buildkit
                        
# 2023-11-14 16:30:02  0.00B 设置环境变量 CUDNN_VERSION
ENV CUDNN_VERSION=8.9.1
                        
# 2023-11-14 16:30:02  2.51GB 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c bash /build_scripts/install_cudnn.sh cudnn891 # buildkit
                        
# 2023-11-14 16:27:38  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/gcc-12.1/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2023-11-14 16:27:38  27.00B 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c ln -s /usr/local/gcc-12.1/bin/g++ /usr/bin/g++ # buildkit
                        
# 2023-11-14 16:27:38  27.00B 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c ln -s /usr/local/gcc-12.1/bin/gcc /usr/bin/gcc # buildkit
                        
# 2023-11-14 16:27:37  27.00B 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c ln -s /usr/local/gcc-12.1/bin/g++ /usr/local/bin/g++ # buildkit
                        
# 2023-11-14 16:27:37  27.00B 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c ln -s /usr/local/gcc-12.1/bin/gcc /usr/local/bin/gcc # buildkit
                        
# 2023-11-14 16:27:37  2.32MB 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c cp gcc gcc.bak && cp g++ g++.bak && rm gcc && rm g++ # buildkit
                        
# 2023-11-14 16:27:37  8.52GB 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c bash /build_scripts/install_gcc.sh gcc121 # buildkit
                        
# 2023-11-14 15:45:37  3.63MB 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c bash /build_scripts/install_patchelf.sh # buildkit
                        
# 2023-11-14 15:45:10  7.00GB 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c bash /build_scripts/install_trt.sh trt8616 # buildkit
                        
# 2023-11-14 15:42:25  37.26KB 复制新文件或目录到容器中
COPY tools/dockerfile/build_scripts /build_scripts # buildkit
                        
# 2023-11-14 15:42:25  0.00B 设置工作目录为/usr/bin
WORKDIR /usr/bin
                        
# 2023-11-14 15:42:25  504.51MB 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /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 # buildkit
                        
# 2023-11-14 15:38:55  0.00B 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c apt-key adv --fetch-keys https://developer.download.nvidia.cn/compute/cuda/repos/ubuntu2004/x86_64/3bf863cc.pub # buildkit
                        
# 2023-11-14 15:38:54  0.00B 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c rm /etc/apt/sources.list.d/* # buildkit
                        
# 2023-11-14 15:38:54  0.00B 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c apt-key del 7fa2af80 # buildkit
                        
# 2023-11-14 15:38:54  0.00B 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c chmod 777 /tmp # buildkit
                        
# 2023-11-14 15:38:54  1.29KB 复制新文件或目录到容器中
COPY paddle/scripts/docker/root/ /root/ # buildkit
                        
# 2023-11-14 15:38:54  0.00B 设置环境变量 HOME
ENV HOME=/root
                        
# 2023-11-14 15:38:54  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda-12.0/targets/x86_64-linux/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-11-14 15:38:54  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2023-11-14 15:38:54  0.00B 设置环境变量 WITH_AVX
ENV WITH_AVX=ON
                        
# 2023-11-14 15:38:54  0.00B 设置环境变量 WITH_GPU
ENV WITH_GPU=ON
                        
# 2023-11-14 15:38:54  0.00B 定义构建参数
ARG WITH_AVX
                        
# 2023-11-14 15:38:54  0.00B 定义构建参数
ARG WITH_GPU
                        
# 2023-11-14 15:38:54  0.00B 
MAINTAINER PaddlePaddle Authors <paddle-dev@baidu.com>
                        
# 2023-11-10 15:14:03  2.56GB 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     ${NV_CUDNN_PACKAGE}     ${NV_CUDNN_PACKAGE_DEV}     && apt-mark hold ${NV_CUDNN_PACKAGE_NAME}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 15:14:03  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=8.8.0.121
                        
# 2023-11-10 15:14:03  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 15:14:03  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 15:14:03  0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV
ENV NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.8.0.121-1+cuda12.0
                        
# 2023-11-10 15:14:03  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn8=8.8.0.121-1+cuda12.0
                        
# 2023-11-10 15:14:03  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
                        
# 2023-11-10 15:14:03  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=8.8.0.121
                        
# 2023-11-10 14:51:55  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2023-11-10 14:51:55  379.48KB 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
                        
# 2023-11-10 14:49:37  4.82GB 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}     ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 14:49:37  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 14:49:37  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 14:49:37  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
                        
# 2023-11-10 14:49:37  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.17.1-1
                        
# 2023-11-10 14:49:37  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.17.1-1
                        
# 2023-11-10 14:49:37  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2023-11-10 14:49:37  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-0=12.0.90-1
                        
# 2023-11-10 14:49:37  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.0.90-1
                        
# 2023-11-10 14:49:37  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-0=12.0.0-1
                        
# 2023-11-10 14:49:37  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.0.0-1
                        
# 2023-11-10 14:49:37  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-0=12.0.1.189-1
                        
# 2023-11-10 14:49:37  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-0
                        
# 2023-11-10 14:49:37  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.0.1.189-1
                        
# 2023-11-10 14:49:37  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-0=12.0.0.30-1
                        
# 2023-11-10 14:49:37  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.0.0.30-1
                        
# 2023-11-10 14:49:37  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.0.0.76-1
                        
# 2023-11-10 14:49:37  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.0.76-1
                        
# 2023-11-10 14:49:37  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.0.107-1
                        
# 2023-11-10 14:49:37  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.0.0-1
                        
# 2023-11-10 14:37:45  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-11-10 14:37:45  0.00B 设置环境变量 NVIDIA_CUDA_END_OF_LIFE
ENV NVIDIA_CUDA_END_OF_LIFE=1
                        
# 2023-11-10 14:37:45  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-11-10 14:37:45  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2023-11-10 14:37:45  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 14:37:45  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
                        
# 2023-11-10 14:37:44  2.21GB 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
                        
# 2023-11-10 14:37:44  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 14:37:44  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 14:37:44  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.0
                        
# 2023-11-10 14:37:44  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.17.1-1
                        
# 2023-11-10 14:37:44  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1
                        
# 2023-11-10 14:37:44  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2023-11-10 14:37:44  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-0=12.0.1.189-1
                        
# 2023-11-10 14:37:44  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.0.1.189-1
                        
# 2023-11-10 14:37:44  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-0
                        
# 2023-11-10 14:37:44  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.0.0.76-1
                        
# 2023-11-10 14:37:44  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-0=12.0.0.30-1
                        
# 2023-11-10 14:37:44  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.0.0.30-1
                        
# 2023-11-10 14:37:44  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.0.76-1
                        
# 2023-11-10 14:37:44  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.0.0-1
                        
# 2023-11-10 14:31:11  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-10 14:31:11  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-10 14:31:11  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-11-10 14:31:10  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 14:31:10  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 14:31:10  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 14:31:10  148.49MB 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-12-0=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 14:30:50  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.0.0
                        
# 2023-11-10 14:30:50  18.32MB 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
                        
# 2023-11-10 14:30:50  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 14:30:50  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 14:30:50  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-0
                        
# 2023-11-10 14:30:50  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.0.107-1
                        
# 2023-11-10 14:30:50  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.0 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
                        
# 2023-11-10 14:30:50  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2023-10-03 18:45:52  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-10-03 18:45:51  72.79MB 
/bin/sh -c #(nop) ADD file:4809da414c2d478b4d991cbdaa2df457f2b3d07d0ff6cf673f09a66f90833e81 in / 
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=20.04
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:9dc3d1522db4b9d4cee0d28f219c8df222d0756c9f3a67fa57826c1a3160ee32",
    "RepoTags": [
        "paddlepaddle/paddle:2.6.2-gpu-cuda12.0-cudnn8.9-trt8.6",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:2.6.2-gpu-cuda12.0-cudnn8.9-trt8.6"
    ],
    "RepoDigests": [
        "paddlepaddle/paddle@sha256:46f8bb28ebafd306bb9e4960418546d846d7896db75cc51b20f31b24ba78b16d",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle@sha256:3c84574b1a4519e4e39003ec16f77d440a241a2bf5b624bbe5552952170675b3"
    ],
    "Parent": "",
    "Comment": "",
    "Created": "2024-09-13T06:34:01.040240048Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "20.10.23",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "22/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/home/cmake-3.18.0-Linux-x86_64/bin:/usr/local/gcc-12.1/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=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",
            "NV_CUDA_CUDART_VERSION=12.0.107-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-0",
            "CUDA_VERSION=12.0.0",
            "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=12.0.0-1",
            "NV_NVTX_VERSION=12.0.76-1",
            "NV_LIBNPP_VERSION=12.0.0.30-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-0=12.0.0.30-1",
            "NV_LIBCUSPARSE_VERSION=12.0.0.76-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-0",
            "NV_LIBCUBLAS_VERSION=12.0.1.189-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-12-0=12.0.1.189-1",
            "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",
            "NVIDIA_CUDA_END_OF_LIFE=1",
            "NV_CUDA_CUDART_DEV_VERSION=12.0.107-1",
            "NV_NVML_DEV_VERSION=12.0.76-1",
            "NV_LIBCUSPARSE_DEV_VERSION=12.0.0.76-1",
            "NV_LIBNPP_DEV_VERSION=12.0.0.30-1",
            "NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-0=12.0.0.30-1",
            "NV_LIBCUBLAS_DEV_VERSION=12.0.1.189-1",
            "NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-0",
            "NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-0=12.0.1.189-1",
            "NV_CUDA_NSIGHT_COMPUTE_VERSION=12.0.0-1",
            "NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-0=12.0.0-1",
            "NV_NVPROF_VERSION=12.0.90-1",
            "NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-0=12.0.90-1",
            "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",
            "NV_CUDNN_VERSION=8.8.0.121",
            "NV_CUDNN_PACKAGE_NAME=libcudnn8",
            "NV_CUDNN_PACKAGE=libcudnn8=8.8.0.121-1+cuda12.0",
            "NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.8.0.121-1+cuda12.0",
            "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": "sha256:1a65eb70e2ecb99b6f43cdb68255ee483fecf0402c50f85391c49e1117283cb8",
        "Volumes": null,
        "WorkingDir": "/home",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "com.nvidia.cudnn.version": "8.8.0.121",
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "20.04"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 34041457949,
    "GraphDriver": {
        "Data": {
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}