docker.io/paddlepaddle/paddle:3.0.0-gpu-cuda12.6-cudnn9.5-trt10.5 linux/amd64

docker.io/paddlepaddle/paddle:3.0.0-gpu-cuda12.6-cudnn9.5-trt10.5 - 国内下载镜像源 浏览次数:8

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:3.0.0-gpu-cuda12.6-cudnn9.5-trt10.5
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:3.0.0-gpu-cuda12.6-cudnn9.5-trt10.5
镜像ID sha256:899bfeb9f34c4d4bcb1351d12ca39f99947be9d6ff4ceaa9270f80e45f92cace
镜像TAG 3.0.0-gpu-cuda12.6-cudnn9.5-trt10.5
大小 43.07GB
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 8 次
贡献者 20******6@qq.com
镜像创建 2025-04-21T15:53:48.382668611+08:00
同步时间 2025-06-20 04:33
更新时间 2025-06-20 10:47
开放端口
22/tcp
环境变量
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>=12.6 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 NV_CUDA_CUDART_VERSION=12.6.37-1 CUDA_VERSION=12.6.0 LD_LIBRARY_PATH=/usr/local/TensorRT-10.5.0.18/lib:/usr/local/cuda-12.s63/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=12.6.0-1 NV_NVTX_VERSION=12.6.37-1 NV_LIBNPP_VERSION=12.3.1.23-1 NV_LIBNPP_PACKAGE=libnpp-12-6=12.3.1.23-1 NV_LIBCUSPARSE_VERSION=12.5.2.23-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-6 NV_LIBCUBLAS_VERSION=12.6.0.22-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-6=12.6.0.22-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.22.3-1 NCCL_VERSION=2.22.3-1 NV_LIBNCCL_PACKAGE=libnccl2=2.22.3-1+cuda12.6 NVIDIA_PRODUCT_NAME=CUDA NV_CUDA_CUDART_DEV_VERSION=12.6.37-1 NV_NVML_DEV_VERSION=12.6.37-1 NV_LIBCUSPARSE_DEV_VERSION=12.5.2.23-1 NV_LIBNPP_DEV_VERSION=12.3.1.23-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-6=12.3.1.23-1 NV_LIBCUBLAS_DEV_VERSION=12.6.0.22-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-6 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-6=12.6.0.22-1 NV_CUDA_NSIGHT_COMPUTE_VERSION=12.6.0-1 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-6=12.6.0-1 NV_NVPROF_VERSION=12.6.37-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-6=12.6.37-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.22.3-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.22.3-1+cuda12.6 LIBRARY_PATH=/usr/local/cuda/lib64/stubs WITH_GPU=ON WITH_AVX=ON DEBIAN_FRONTEND=noninteractive HOME=/root CUDNN_VERSION=9.5.1 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
无权限下载?点我修复 生成Docker Run命令

Docker拉取命令 

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:3.0.0-gpu-cuda12.6-cudnn9.5-trt10.5
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:3.0.0-gpu-cuda12.6-cudnn9.5-trt10.5  docker.io/paddlepaddle/paddle:3.0.0-gpu-cuda12.6-cudnn9.5-trt10.5

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:3.0.0-gpu-cuda12.6-cudnn9.5-trt10.5
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:3.0.0-gpu-cuda12.6-cudnn9.5-trt10.5  docker.io/paddlepaddle/paddle:3.0.0-gpu-cuda12.6-cudnn9.5-trt10.5

Shell快速替换命令 

sed -i 's#paddlepaddle/paddle:3.0.0-gpu-cuda12.6-cudnn9.5-trt10.5#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:3.0.0-gpu-cuda12.6-cudnn9.5-trt10.5#' 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-cuda12.6-cudnn9.5-trt10.5 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:3.0.0-gpu-cuda12.6-cudnn9.5-trt10.5  docker.io/paddlepaddle/paddle:3.0.0-gpu-cuda12.6-cudnn9.5-trt10.5'

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-cuda12.6-cudnn9.5-trt10.5 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:3.0.0-gpu-cuda12.6-cudnn9.5-trt10.5  docker.io/paddlepaddle/paddle:3.0.0-gpu-cuda12.6-cudnn9.5-trt10.5'

镜像构建历史 


# 2025-04-21 15:53:48  60.77KB 执行命令并创建新的镜像层
RUN /bin/sh -c ldconfig # buildkit
                        
# 2025-04-21 15:53:48  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/TensorRT-10.5.0.18/lib:/usr/local/cuda-12.s63/targets/x86_64-linux/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2025-04-21 15:53:47  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 15:53:46  7.76GB 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/cu126/ # buildkit
                        
# 2025-04-21 15:52:39  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 15:52:38  489.00B 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 15:50:22  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
                        
# 2025-03-26 10:27:23  0.00B 声明容器运行时监听的端口
EXPOSE map[22/tcp:{}]
                        
# 2025-03-26 10:27:23  527.47MB 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
                        
# 2025-03-26 10:26:36  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
                        
# 2025-03-26 10:25:23  94.63MB 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
                        
# 2025-03-26 10:24:54  179.00B 复制新文件或目录到容器中
COPY ./python/requirements.txt /root/ # buildkit
                        
# 2025-03-26 10:24:54  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
                        
# 2025-03-26 10:24:54  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
                        
# 2025-03-26 10:24:50  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
                        
# 2025-03-26 10:24:49  9.13MB 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
                        
# 2025-03-26 10:24:41  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
                        
# 2025-03-26 10:24:41  0.00B 设置环境变量 GOROOT GOPATH
ENV GOROOT=/usr/local/go GOPATH=/root/gopath
                        
# 2025-03-26 10:24:41  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
                        
# 2025-03-26 10:24:12  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
                        
# 2025-03-26 10:22:55  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 rm setuptools-68.2.2.tar.gz pip-23.3.1.tar.gz &&     rm -r setuptools-68.2.2 pip-23.3.1 # buildkit
                        
# 2025-03-26 10:22:54  0.00B 设置工作目录为/home
WORKDIR /home
                        
# 2025-03-26 10:22:54  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
                        
# 2025-03-26 10:22:50  0.00B 设置工作目录为/home/pip-23.3.1
WORKDIR /home/pip-23.3.1
                        
# 2025-03-26 10:22:50  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
                        
# 2025-03-26 10:22:47  0.00B 设置工作目录为/home
WORKDIR /home
                        
# 2025-03-26 10:22:47  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
                        
# 2025-03-26 10:22:44  0.00B 设置工作目录为/home/setuptools-68.2.2
WORKDIR /home/setuptools-68.2.2
                        
# 2025-03-26 10:22:44  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
                        
# 2025-03-26 10:22:41  0.00B 设置工作目录为/home
WORKDIR /home
                        
# 2025-03-26 10:22:41  75.72MB 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
                        
# 2025-03-26 10:20:24  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
                        
# 2025-03-26 10:20:24  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
                        
# 2025-03-26 10:20:16  0.00B 设置工作目录为/home
WORKDIR /home
                        
# 2025-03-26 10:20:16  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
                        
# 2025-03-26 10:20:15  13.88GB 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 trt105018 # buildkit
                        
# 2025-03-26 10:17:36  0.00B 设置环境变量 CUDNN_VERSION
ENV CUDNN_VERSION=9.5.1
                        
# 2025-03-26 10:17:36  3.76GB 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 cudnn951 # buildkit
                        
# 2025-03-26 10:15:02  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
                        
# 2025-03-26 10:15:02  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
                        
# 2025-03-26 10:15:02  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
                        
# 2025-03-26 10:15:01  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
                        
# 2025-03-26 10:15:01  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
                        
# 2025-03-26 10:15:01  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
                        
# 2025-03-26 10:15:00  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
                        
# 2025-03-26 09:35:05  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
                        
# 2025-03-26 09:30:29  39.25KB 复制新文件或目录到容器中
COPY tools/dockerfile/build_scripts /build_scripts # buildkit
                        
# 2025-03-24 19:30:32  0.00B 设置工作目录为/usr/bin
WORKDIR /usr/bin
                        
# 2025-03-24 19:30:32  460.92MB 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
                        
# 2025-03-24 19:28:23  1.83KB 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://developer.download.nvidia.cn/compute/cuda/repos/ubuntu2004/x86_64/3bf863cc.pub && apt-key add 3bf863cc.pub # buildkit
                        
# 2025-03-24 19:27:49  58.31MB 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c apt update && apt install wget -y # buildkit
                        
# 2025-03-24 19:09:03  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
                        
# 2025-03-24 19:09:03  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
                        
# 2025-03-24 19:09:02  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 chmod 777 /tmp # buildkit
                        
# 2025-03-21 11:10:22  1.29KB 复制新文件或目录到容器中
COPY paddle/scripts/docker/root/ /root/ # buildkit
                        
# 2025-03-21 11:10:22  0.00B 设置环境变量 HOME
ENV HOME=/root
                        
# 2025-03-21 11:10:22  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda-12.s63/targets/x86_64-linux/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2025-03-21 11:10:22  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2025-03-21 11:10:22  0.00B 设置环境变量 WITH_AVX
ENV WITH_AVX=ON
                        
# 2025-03-21 11:10:22  0.00B 设置环境变量 WITH_GPU
ENV WITH_GPU=ON
                        
# 2025-03-21 11:10:22  0.00B 定义构建参数
ARG WITH_AVX
                        
# 2025-03-21 11:10:22  0.00B 定义构建参数
ARG WITH_GPU
                        
# 2025-03-21 11:10:22  0.00B 
MAINTAINER PaddlePaddle Authors <paddle-dev@baidu.com>
                        
# 2024-08-10 01:53:13  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2024-08-10 01:53:13  383.21KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
                        
# 2024-08-10 01:53:12  4.85GB 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-12-6=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-12-6=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-12-6=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-12-6=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-12-6=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-12-6=${NV_LIBCUSPARSE_DEV_VERSION}     ${NV_LIBCUBLAS_DEV_PACKAGE}     ${NV_LIBNCCL_DEV_PACKAGE}     ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-08-10 01:53:12  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-08-10 01:53:12  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-08-10 01:53:12  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.22.3-1+cuda12.6
                        
# 2024-08-10 01:53:12  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.22.3-1
                        
# 2024-08-10 01:53:12  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.22.3-1
                        
# 2024-08-10 01:53:12  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2024-08-10 01:53:12  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-6=12.6.37-1
                        
# 2024-08-10 01:53:12  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.6.37-1
                        
# 2024-08-10 01:53:12  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-6=12.6.0-1
                        
# 2024-08-10 01:53:12  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.6.0-1
                        
# 2024-08-10 01:53:12  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-6=12.6.0.22-1
                        
# 2024-08-10 01:53:12  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-6
                        
# 2024-08-10 01:53:12  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.6.0.22-1
                        
# 2024-08-10 01:53:12  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-6=12.3.1.23-1
                        
# 2024-08-10 01:53:12  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.3.1.23-1
                        
# 2024-08-10 01:53:12  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.5.2.23-1
                        
# 2024-08-10 01:53:12  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.6.37-1
                        
# 2024-08-10 01:53:12  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.6.37-1
                        
# 2024-08-10 01:53:12  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.6.0-1
                        
# 2024-08-10 01:42:59  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2024-08-10 01:42:59  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2024-08-10 01:42:59  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2024-08-10 01:42:59  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2024-08-10 01:42:59  261.07KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
                        
# 2024-08-10 01:42:59  2.05GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-libraries-12-6=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-6=${NV_NVTX_VERSION}     libcusparse-12-6=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-08-10 01:42:59  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-08-10 01:42:59  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-08-10 01:42:59  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.22.3-1+cuda12.6
                        
# 2024-08-10 01:42:59  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.22.3-1
                        
# 2024-08-10 01:42:59  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.22.3-1
                        
# 2024-08-10 01:42:59  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2024-08-10 01:42:59  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-6=12.6.0.22-1
                        
# 2024-08-10 01:42:59  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.6.0.22-1
                        
# 2024-08-10 01:42:59  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-6
                        
# 2024-08-10 01:42:59  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.5.2.23-1
                        
# 2024-08-10 01:42:59  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-6=12.3.1.23-1
                        
# 2024-08-10 01:42:59  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.3.1.23-1
                        
# 2024-08-10 01:42:59  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.6.37-1
                        
# 2024-08-10 01:42:59  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.6.0-1
                        
# 2024-08-10 01:38:09  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-08-10 01:38:09  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-08-10 01:38:09  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2024-08-10 01:38:09  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-08-10 01:38:09  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-08-10 01:38:09  46.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf     && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2024-08-10 01:38:09  161.58MB 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-12-6=${NV_CUDA_CUDART_VERSION}     cuda-compat-12-6     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-08-10 01:37:58  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.6.0
                        
# 2024-08-10 01:37:58  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
                        
# 2024-08-10 01:37:58  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-08-10 01:37:58  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-08-10 01:37:58  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.6.37-1
                        
# 2024-08-10 01:37:58  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 brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.6 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551
                        
# 2024-08-10 01:37:58  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2024-06-04 01:10:43  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-06-04 01:10:43  72.81MB 
/bin/sh -c #(nop) ADD file:e7cff353f027ecf0a2cb1cdd51714de3b083a11a0d965f104489f9a7e6925056 in / 
                        
# 2024-06-04 01:10:41  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=20.04
                        
# 2024-06-04 01:10:41  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-06-04 01:10:41  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-06-04 01:10:41  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息 

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    "Created": "2025-04-21T15:53:48.382668611+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-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=12.6 brand=unknown,driver\u003e=470,driver\u003c471 brand=grid,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=vapps,driver\u003e=470,driver\u003c471 brand=vpc,driver\u003e=470,driver\u003c471 brand=vcs,driver\u003e=470,driver\u003c471 brand=vws,driver\u003e=470,driver\u003c471 brand=cloudgaming,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=535,driver\u003c536 brand=grid,driver\u003e=535,driver\u003c536 brand=tesla,driver\u003e=535,driver\u003c536 brand=nvidia,driver\u003e=535,driver\u003c536 brand=quadro,driver\u003e=535,driver\u003c536 brand=quadrortx,driver\u003e=535,driver\u003c536 brand=nvidiartx,driver\u003e=535,driver\u003c536 brand=vapps,driver\u003e=535,driver\u003c536 brand=vpc,driver\u003e=535,driver\u003c536 brand=vcs,driver\u003e=535,driver\u003c536 brand=vws,driver\u003e=535,driver\u003c536 brand=cloudgaming,driver\u003e=535,driver\u003c536 brand=unknown,driver\u003e=550,driver\u003c551 brand=grid,driver\u003e=550,driver\u003c551 brand=tesla,driver\u003e=550,driver\u003c551 brand=nvidia,driver\u003e=550,driver\u003c551 brand=quadro,driver\u003e=550,driver\u003c551 brand=quadrortx,driver\u003e=550,driver\u003c551 brand=nvidiartx,driver\u003e=550,driver\u003c551 brand=vapps,driver\u003e=550,driver\u003c551 brand=vpc,driver\u003e=550,driver\u003c551 brand=vcs,driver\u003e=550,driver\u003c551 brand=vws,driver\u003e=550,driver\u003c551 brand=cloudgaming,driver\u003e=550,driver\u003c551",
            "NV_CUDA_CUDART_VERSION=12.6.37-1",
            "CUDA_VERSION=12.6.0",
            "LD_LIBRARY_PATH=/usr/local/TensorRT-10.5.0.18/lib:/usr/local/cuda-12.s63/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=12.6.0-1",
            "NV_NVTX_VERSION=12.6.37-1",
            "NV_LIBNPP_VERSION=12.3.1.23-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-6=12.3.1.23-1",
            "NV_LIBCUSPARSE_VERSION=12.5.2.23-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-6",
            "NV_LIBCUBLAS_VERSION=12.6.0.22-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-12-6=12.6.0.22-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.22.3-1",
            "NCCL_VERSION=2.22.3-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.22.3-1+cuda12.6",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NV_CUDA_CUDART_DEV_VERSION=12.6.37-1",
            "NV_NVML_DEV_VERSION=12.6.37-1",
            "NV_LIBCUSPARSE_DEV_VERSION=12.5.2.23-1",
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            "NV_CUDA_NSIGHT_COMPUTE_VERSION=12.6.0-1",
            "NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-6=12.6.0-1",
            "NV_NVPROF_VERSION=12.6.37-1",
            "NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-6=12.6.37-1",
            "NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev",
            "NV_LIBNCCL_DEV_PACKAGE_VERSION=2.22.3-1",
            "NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.22.3-1+cuda12.6",
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            "WITH_GPU=ON",
            "WITH_AVX=ON",
            "DEBIAN_FRONTEND=noninteractive",
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}

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