docker.io/paddlepaddle/paddle:3.0.0-gpu-cuda11.8-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:3.0.0-gpu-cuda11.8-cudnn8.9-trt8.6
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:3.0.0-gpu-cuda11.8-cudnn8.9-trt8.6  docker.io/paddlepaddle/paddle:3.0.0-gpu-cuda11.8-cudnn8.9-trt8.6

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:3.0.0-gpu-cuda11.8-cudnn8.9-trt8.6
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:3.0.0-gpu-cuda11.8-cudnn8.9-trt8.6  docker.io/paddlepaddle/paddle:3.0.0-gpu-cuda11.8-cudnn8.9-trt8.6

Shell快速替换命令

sed -i 's#paddlepaddle/paddle:3.0.0-gpu-cuda11.8-cudnn8.9-trt8.6#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:3.0.0-gpu-cuda11.8-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:3.0.0-gpu-cuda11.8-cudnn8.9-trt8.6 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:3.0.0-gpu-cuda11.8-cudnn8.9-trt8.6  docker.io/paddlepaddle/paddle:3.0.0-gpu-cuda11.8-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:3.0.0-gpu-cuda11.8-cudnn8.9-trt8.6 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:3.0.0-gpu-cuda11.8-cudnn8.9-trt8.6  docker.io/paddlepaddle/paddle:3.0.0-gpu-cuda11.8-cudnn8.9-trt8.6'

镜像构建历史

# 2025-04-21 15:53:56  60.07KB 执行命令并创建新的镜像层
RUN /bin/sh -c ldconfig # buildkit
                        
# 2025-04-21 15:53:56  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/TensorRT-8.5.3.1/lib:/usr/local/cuda-11.8/targets/x86_64-linux/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2025-04-21 15:53:55  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c pip cache purge # buildkit
                        
# 2025-04-21 15:53:55  5.74GB 执行命令并创建新的镜像层
RUN /bin/sh -c python -m pip install --no-deps paddlepaddle-gpu==3.0.0 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/ # buildkit
                        
# 2025-04-21 15:52:59  37.24KB 执行命令并创建新的镜像层
RUN /bin/sh -c python -m pip install -r requirements.txt && rm -rf requirements.txt # buildkit
                        
# 2025-04-21 15:52:58  400.00B 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://raw.githubusercontent.com/PaddlePaddle/Paddle/develop/python/requirements.txt # buildkit
                        
# 2025-04-21 15:50:47  11.83MB 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
                        
# 2025-04-02 15:05:55  0.00B 声明容器运行时监听的端口
EXPOSE map[22/tcp:{}]
                        
# 2025-04-02 15:05:55  510.50MB 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 install -y clang-12 # buildkit
                        
# 2025-04-02 15:04:28  46.76MB 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
                        
# 2025-04-02 15:03:17  147.35MB 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
                        
# 2025-04-02 15:02:41  103.00B 复制新文件或目录到容器中
COPY ./python/requirements.txt /root/ # buildkit
                        
# 2025-04-02 15:02:41  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
                        
# 2025-04-02 15:02:40  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
                        
# 2025-04-02 15:02:38  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
                        
# 2025-04-02 15:02:38  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
                        
# 2025-04-02 15:02:31  0.00B 设置环境变量 PATH
ENV PATH=/home/cmake-3.18.0-Linux-x86_64/bin:/usr/local/gcc-8.2/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
                        
# 2025-04-02 15:02:31  0.00B 设置环境变量 GOROOT GOPATH
ENV GOROOT=/usr/local/go GOPATH=/root/gopath
                        
# 2025-04-02 15:02:31  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
                        
# 2025-04-02 14:57:38  140.48MB 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
                        
# 2025-04-02 14:53:02  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 setuptools-68.2.2.tar.gz pip-23.3.1.tar.gz &&     rm -r setuptools-68.2.2 pip-23.3.1 # buildkit
                        
# 2025-04-02 14:53:02  0.00B 设置工作目录为/home
WORKDIR /home
                        
# 2025-04-02 14:53:02  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
                        
# 2025-04-02 14:52:58  0.00B 设置工作目录为/home/pip-23.3.1
WORKDIR /home/pip-23.3.1
                        
# 2025-04-02 14:52:58  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
                        
# 2025-04-02 14:52:53  0.00B 设置工作目录为/home
WORKDIR /home
                        
# 2025-04-02 14:52:53  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
                        
# 2025-04-02 14:52:51  0.00B 设置工作目录为/home/setuptools-68.2.2
WORKDIR /home/setuptools-68.2.2
                        
# 2025-04-02 14:52:51  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
                        
# 2025-04-02 14:52:47  0.00B 设置工作目录为/home
WORKDIR /home
                        
# 2025-04-02 14:52:47  67.95MB 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
                        
# 2025-04-02 14:51:49  0.00B 设置环境变量 PATH
ENV PATH=/home/cmake-3.18.0-Linux-x86_64/bin:/usr/local/gcc-8.2/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-04-02 14:51:49  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
                        
# 2025-04-02 14:48:10  0.00B 设置工作目录为/home
WORKDIR /home
                        
# 2025-04-02 14:48:10  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
                        
# 2025-04-02 14:48:10  6.98GB 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
                        
# 2025-04-02 14:46:56  0.00B 设置环境变量 CUDNN_VERSION
ENV CUDNN_VERSION=8.9.7
                        
# 2025-04-02 14:46:56  4.73GB 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 cudnn897 # buildkit
                        
# 2025-04-02 14:43:44  3.42MB 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
                        
# 2025-04-02 14:43:28  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/gcc-8.2/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-04-02 14:43:28  26.00B 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-8.2/bin/g++ /usr/bin/g++ # buildkit
                        
# 2025-04-02 14:43:27  26.00B 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-8.2/bin/gcc /usr/bin/gcc # buildkit
                        
# 2025-04-02 14:43:27  26.00B 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-8.2/bin/g++ /usr/local/bin/g++ # buildkit
                        
# 2025-04-02 14:43:26  26.00B 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-8.2/bin/gcc /usr/local/bin/gcc # buildkit
                        
# 2025-04-02 14:43:26  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
                        
# 2025-04-02 14:43:26  1.54GB 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 gcc82 # buildkit
                        
# 2025-04-02 10:54:12  39.59KB 复制新文件或目录到容器中
COPY tools/dockerfile/build_scripts /build_scripts # buildkit
                        
# 2025-04-02 10:54:12  0.00B 设置工作目录为/usr/bin
WORKDIR /usr/bin
                        
# 2025-04-02 10:54:12  519.45MB 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
                        
# 2025-03-05 09:34:22  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
                        
# 2025-03-05 09:34:22  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
                        
# 2025-03-05 09:34:21  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
                        
# 2025-03-05 09:34:21  1.29KB 复制新文件或目录到容器中
COPY paddle/scripts/docker/root/ /root/ # buildkit
                        
# 2025-03-05 09:34:21  0.00B 设置环境变量 HOME
ENV HOME=/root
                        
# 2025-03-05 09:34:21  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda-11.8/targets/x86_64-linux/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2025-03-05 09:34:21  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2025-03-05 09:34:21  0.00B 设置环境变量 WITH_AVX
ENV WITH_AVX=ON
                        
# 2025-03-05 09:34:21  0.00B 设置环境变量 WITH_GPU
ENV WITH_GPU=ON
                        
# 2025-03-05 09:34:21  0.00B 定义构建参数
ARG WITH_AVX
                        
# 2025-03-05 09:34:21  0.00B 定义构建参数
ARG WITH_GPU
                        
# 2025-03-05 09:34:21  0.00B 
MAINTAINER PaddlePaddle Authors <paddle-dev@baidu.com>
                        
# 2023-11-10 15:16:58  2.37GB 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 15:16:58  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=8.9.6.50
                        
# 2023-11-10 15:16:58  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 15:16:58  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 15:16:58  0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV
ENV NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.9.6.50-1+cuda11.8
                        
# 2023-11-10 15:16:58  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn8=8.9.6.50-1+cuda11.8
                        
# 2023-11-10 15:16:58  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
                        
# 2023-11-10 15:16:58  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=8.9.6.50
                        
# 2023-11-10 14:55:34  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2023-11-10 14:55:34  377.32KB 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 14:55:29  4.71GB 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-11-8=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-11-8=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-11-8=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-11-8=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-11-8=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-11-8=${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 14:55:29  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 14:55:29  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 14:55:29  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.16.2-1+cuda11.8
                        
# 2023-11-10 14:55:29  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.16.2-1
                        
# 2023-11-10 14:55:29  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.16.2-1
                        
# 2023-11-10 14:55:29  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2023-11-10 14:55:29  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-8=11.8.87-1
                        
# 2023-11-10 14:55:29  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=11.8.87-1
                        
# 2023-11-10 14:55:29  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-8=11.8.0-1
                        
# 2023-11-10 14:55:29  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=11.8.0-1
                        
# 2023-11-10 14:55:29  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-8=11.11.3.6-1
                        
# 2023-11-10 14:55:29  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-8
                        
# 2023-11-10 14:55:29  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=11.11.3.6-1
                        
# 2023-11-10 14:55:29  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-8=11.8.0.86-1
                        
# 2023-11-10 14:55:29  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=11.8.0.86-1
                        
# 2023-11-10 14:55:29  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=11.7.5.86-1
                        
# 2023-11-10 14:55:29  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=11.8.86-1
                        
# 2023-11-10 14:55:29  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=11.8.89-1
                        
# 2023-11-10 14:55:29  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.8.0-1
                        
# 2023-11-10 14:43:29  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-11-10 14:43:29  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-11-10 14:43:29  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2023-11-10 14:43:29  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 14:43:29  258.26KB 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 14:43:29  2.42GB 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-11-8=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-11-8=${NV_NVTX_VERSION}     libcusparse-11-8=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 14:43:29  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 14:43:29  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 14:43:29  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.16.2-1+cuda11.8
                        
# 2023-11-10 14:43:29  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.16.2-1
                        
# 2023-11-10 14:43:29  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.16.2-1
                        
# 2023-11-10 14:43:29  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2023-11-10 14:43:29  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-8=11.11.3.6-1
                        
# 2023-11-10 14:43:29  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.11.3.6-1
                        
# 2023-11-10 14:43:29  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-8
                        
# 2023-11-10 14:43:29  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=11.7.5.86-1
                        
# 2023-11-10 14:43:29  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-11-8=11.8.0.86-1
                        
# 2023-11-10 14:43:29  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.8.0.86-1
                        
# 2023-11-10 14:43:29  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.8.86-1
                        
# 2023-11-10 14:43:29  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.8.0-1
                        
# 2023-11-10 14:37:17  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-10 14:37:17  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-10 14:37:17  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-11-10 14:37:17  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 14:37:17  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 14:37:17  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 14:37:17  150.68MB 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-11-8=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 14:37:03  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.8.0
                        
# 2023-11-10 14:37:03  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 14:37:03  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 14:37:03  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 14:37:03  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8
                        
# 2023-11-10 14:37:03  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.8.89-1
                        
# 2023-11-10 14:37:03  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>=11.8 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 14:37:03  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:e3bb80f2368c8120c4481aac4e75e6e6d5ef7770325588d645518427f520144b",
    "RepoTags": [
        "paddlepaddle/paddle:3.0.0-gpu-cuda11.8-cudnn8.9-trt8.6",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:3.0.0-gpu-cuda11.8-cudnn8.9-trt8.6"
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    "RepoDigests": [
        "paddlepaddle/paddle@sha256:2bd8830dafd258501e7313b320fa1bcc946c70318b3081647b90bc70182e7360",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle@sha256:2bd8830dafd258501e7313b320fa1bcc946c70318b3081647b90bc70182e7360"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-04-21T15:53:56.553936611+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-3.18.0-Linux-x86_64/bin:/usr/local/gcc-8.2/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=11.8 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=11.8.89-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8",
            "CUDA_VERSION=11.8.0",
            "LD_LIBRARY_PATH=/usr/local/TensorRT-8.5.3.1/lib:/usr/local/cuda-11.8/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=11.8.0-1",
            "NV_NVTX_VERSION=11.8.86-1",
            "NV_LIBNPP_VERSION=11.8.0.86-1",
            "NV_LIBNPP_PACKAGE=libnpp-11-8=11.8.0.86-1",
            "NV_LIBCUSPARSE_VERSION=11.7.5.86-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-8",
            "NV_LIBCUBLAS_VERSION=11.11.3.6-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-11-8=11.11.3.6-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.16.2-1",
            "NCCL_VERSION=2.16.2-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.16.2-1+cuda11.8",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NV_CUDA_CUDART_DEV_VERSION=11.8.89-1",
            "NV_NVML_DEV_VERSION=11.8.86-1",
            "NV_LIBCUSPARSE_DEV_VERSION=11.7.5.86-1",
            "NV_LIBNPP_DEV_VERSION=11.8.0.86-1",
            "NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-8=11.8.0.86-1",
            "NV_LIBCUBLAS_DEV_VERSION=11.11.3.6-1",
            "NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-8",
            "NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-8=11.11.3.6-1",
            "NV_CUDA_NSIGHT_COMPUTE_VERSION=11.8.0-1",
            "NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-8=11.8.0-1",
            "NV_NVPROF_VERSION=11.8.87-1",
            "NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-8=11.8.87-1",
            "NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev",
            "NV_LIBNCCL_DEV_PACKAGE_VERSION=2.16.2-1",
            "NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.16.2-1+cuda11.8",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs",
            "NV_CUDNN_VERSION=8.9.6.50",
            "NV_CUDNN_PACKAGE_NAME=libcudnn8",
            "NV_CUDNN_PACKAGE=libcudnn8=8.9.6.50-1+cuda11.8",
            "NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.9.6.50-1+cuda11.8",
            "WITH_GPU=ON",
            "WITH_AVX=ON",
            "DEBIAN_FRONTEND=noninteractive",
            "HOME=/root",
            "CUDNN_VERSION=8.9.7",
            "GOROOT=/usr/local/go",
            "GOPATH=/root/gopath"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/home",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "com.nvidia.cudnn.version": "8.9.6.50",
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "20.04"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 30756885497,
    "GraphDriver": {
        "Data": {
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