docker.io/paddlepaddle/paddle:latest-dev-cuda12.0-cudnn8.9-trt8.6-gcc12.2 linux/amd64

docker.io/paddlepaddle/paddle:latest-dev-cuda12.0-cudnn8.9-trt8.6-gcc12.2 - 国内下载镜像源 浏览次数:65

温馨提示:此镜像为latest tag镜像，本站无法保证此版本为最新镜像

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:latest-dev-cuda12.0-cudnn8.9-trt8.6-gcc12.2
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:latest-dev-cuda12.0-cudnn8.9-trt8.6-gcc12.2
镜像ID sha256:e95e59f25afcba6c1b60e4f5a9674294d22c891e0f22aeb23d7f06b29d73ed88
镜像TAG latest-dev-cuda12.0-cudnn8.9-trt8.6-gcc12.2
大小 32.98GB
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 65 次
贡献者 99******2@qq.com
镜像创建 2023-11-07T19:28:19.808650513+08:00
同步时间 2025-03-09 08:53
更新时间 2025-04-19 18:38
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>=12.0 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=12.0.107-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-0 CUDA_VERSION=12.0.0 LD_LIBRARY_PATH=/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
镜像标签
8.8.0.121: com.nvidia.cudnn.version NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 20.04: org.opencontainers.image.version
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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:latest-dev-cuda12.0-cudnn8.9-trt8.6-gcc12.2
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:latest-dev-cuda12.0-cudnn8.9-trt8.6-gcc12.2  docker.io/paddlepaddle/paddle:latest-dev-cuda12.0-cudnn8.9-trt8.6-gcc12.2

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:latest-dev-cuda12.0-cudnn8.9-trt8.6-gcc12.2
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:latest-dev-cuda12.0-cudnn8.9-trt8.6-gcc12.2  docker.io/paddlepaddle/paddle:latest-dev-cuda12.0-cudnn8.9-trt8.6-gcc12.2

Shell快速替换命令 

sed -i 's#paddlepaddle/paddle:latest-dev-cuda12.0-cudnn8.9-trt8.6-gcc12.2#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:latest-dev-cuda12.0-cudnn8.9-trt8.6-gcc12.2#' 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:latest-dev-cuda12.0-cudnn8.9-trt8.6-gcc12.2 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:latest-dev-cuda12.0-cudnn8.9-trt8.6-gcc12.2  docker.io/paddlepaddle/paddle:latest-dev-cuda12.0-cudnn8.9-trt8.6-gcc12.2'

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:latest-dev-cuda12.0-cudnn8.9-trt8.6-gcc12.2 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:latest-dev-cuda12.0-cudnn8.9-trt8.6-gcc12.2  docker.io/paddlepaddle/paddle:latest-dev-cuda12.0-cudnn8.9-trt8.6-gcc12.2'

镜像构建历史 


# 2023-11-07 19:28:19  0.00B 声明容器运行时监听的端口
EXPOSE map[22/tcp:{}]
                        
# 2023-11-07 19:28:19  752.62MB 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
                        
# 2023-11-07 19:27:58  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
                        
# 2023-11-07 19:26:50  4.24GB 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c pip3.8 --no-cache-dir install -r /root/requirements.txt &&     pip3.8 --no-cache-dir install -r /home/requirements.txt &&     pip3.9 --no-cache-dir install -r /root/requirements.txt &&     pip3.9 --no-cache-dir install -r /home/requirements.txt &&     pip3.10 --no-cache-dir install -r /root/requirements.txt &&     pip3.10 --no-cache-dir install -r /home/requirements.txt &&     pip3.11 --no-cache-dir install -r /root/requirements.txt &&     pip3.11 --no-cache-dir install -r /home/requirements.txt &&     pip3.12 --no-cache-dir install -r /root/requirements.txt &&     pip3.12 --no-cache-dir install -r /home/requirements.txt # buildkit
                        
# 2023-11-07 19:09:50  394.00B 复制新文件或目录到容器中
COPY ./python/unittest_py/requirements.txt /home/ # buildkit
                        
# 2023-11-07 19:09:50  164.00B 复制新文件或目录到容器中
COPY ./python/requirements.txt /root/ # buildkit
                        
# 2023-11-07 19:09:50  56.68MB 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c pip3.8 --no-cache-dir install pre-commit==2.17.0 pylint==2.12.0 &&     pip3.9 --no-cache-dir install pre-commit==2.17.0 pylint==2.12.0 &&     pip3.10 --no-cache-dir install pre-commit==2.17.0 pylint==2.12.0 &&     pip3.8 --no-cache-dir install cpplint==1.6.0 clang-format==13.0.0 &&     pip3.9 --no-cache-dir install cpplint==1.6.0 clang-format==13.0.0 &&     pip3.10 --no-cache-dir install cpplint==1.6.0 clang-format==13.0.0 &&     pip3.11 --no-cache-dir install cpplint==1.6.0 clang-format==13.0.0 &&     pip3.12 --no-cache-dir install cpplint==1.6.0 clang-format==13.0.0 # buildkit
                        
# 2023-11-07 19:08:02  28.04MB 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c pip3.8 --no-cache-dir install pytest astroid isort &&     pip3.9 --no-cache-dir install pytest astroid isort &&     pip3.10 --no-cache-dir install pytest astroid isort &&     pip3.11 --no-cache-dir install pytest astroid isort &&     pip3.12 --no-cache-dir install pytest astroid isort # buildkit
                        
# 2023-11-07 19:07:02  135.41MB 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c pip3.8 --no-cache-dir install ipython==5.3.0 &&     pip3.8 --no-cache-dir install ipykernel==4.6.0 wheel &&     pip3.9 --no-cache-dir install ipython==5.3.0 &&     pip3.9 --no-cache-dir install ipykernel==4.6.0 wheel &&     pip3.10 --no-cache-dir install ipython==5.3.0 &&     pip3.10 --no-cache-dir install ipykernel==4.6.0 wheel &&     pip3.11 --no-cache-dir install ipython==5.3.0 &&     pip3.11 --no-cache-dir install ipykernel==4.6.0 wheel &&     pip3.12 --no-cache-dir install ipython==5.3.0 &&     pip3.12 --no-cache-dir install ipykernel==4.6.0 wheel # buildkit
                        
# 2023-11-07 19:03:56  42.00B 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/pip3.9 /usr/local/bin/pip &&     rm -f /usr/local/bin/pip3 && ln -s /usr/local/bin/pip3.9 /usr/local/bin/pip3 # buildkit
                        
# 2023-11-07 19:03:56  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
                        
# 2023-11-07 19:03:54  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
                        
# 2023-11-07 19:03:54  9.19MB 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
                        
# 2023-11-07 19:03:49  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
                        
# 2023-11-07 19:03:49  0.00B 设置环境变量 GOROOT GOPATH
ENV GOROOT=/usr/local/go GOPATH=/root/gopath
                        
# 2023-11-07 19:03:49  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
                        
# 2023-11-07 19:03:23  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
                        
# 2023-11-07 19:02:00  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-50.3.2.zip setuptools-68.2.2.tar.gz pip-23.3.1.tar.gz &&     rm -r setuptools-50.3.2 setuptools-68.2.2 pip-23.3.1 # buildkit
                        
# 2023-11-07 19:02:00  0.00B 设置工作目录为/home
WORKDIR /home
                        
# 2023-11-07 19:02:00  92.84MB 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c python3.9 setup.py install &&   python3.8 setup.py install  &&   python3.10 setup.py install &&   python3.11 setup.py install &&   python3.12 setup.py install # buildkit
                        
# 2023-11-07 19:01:40  0.00B 设置工作目录为/home/pip-23.3.1
WORKDIR /home/pip-23.3.1
                        
# 2023-11-07 19:01:40  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
                        
# 2023-11-02 12:12:13  0.00B 设置工作目录为/home
WORKDIR /home
                        
# 2023-11-02 12:12:13  31.65MB 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 &&   python3.11 setup.py build && python3.11 setup.py install &&   python3.12 setup.py build && python3.12 setup.py install # buildkit
                        
# 2023-11-02 12:12:04  0.00B 设置工作目录为/home/setuptools-68.2.2
WORKDIR /home/setuptools-68.2.2
                        
# 2023-11-02 12:12:04  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
                        
# 2023-11-02 12:12:01  0.00B 设置工作目录为/home
WORKDIR /home
                        
# 2023-11-02 12:12:01  9.82MB 执行命令并创建新的镜像层
RUN |2 WITH_GPU=ON WITH_AVX=ON /bin/sh -c python3.9 setup.py build && python3.9 setup.py install &&   python3.8 setup.py build && python3.8 setup.py install # buildkit
                        
# 2023-11-02 12:11:57  0.00B 设置工作目录为/home/setuptools-50.3.2
WORKDIR /home/setuptools-50.3.2
                        
# 2023-11-02 12:11:57  7.31MB 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/a7/e0/30642b9c2df516506d40b563b0cbd080c49c6b3f11a70b4c7a670f13a78b/setuptools-50.3.2.zip && unzip setuptools-50.3.2.zip # buildkit
                        
# 2023-11-02 12:11:54  0.00B 设置工作目录为/home
WORKDIR /home
                        
# 2023-11-02 12:11:53  273.74MB 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 python3.8 python3.8-dev python3.8-distutils   python3.9 python3.9-dev python3.9-distutils   python3.10 python3.10-dev python3.10-distutils   python3.11 python3.11-dev python3.11-distutils   python3.12 python3.12-dev python3.12-distutils &&   apt-get install python-is-python3 &&   rm /usr/bin/python && ln -s /usr/bin/python3.9 /usr/bin/python &&   rm /usr/bin/python3 && ln -s /usr/bin/python3.9 /usr/bin/python3 # buildkit
                        
# 2023-11-02 12:10:28  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
                        
# 2023-11-02 12:10:28  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
                        
# 2023-11-02 12:10:04  0.00B 设置工作目录为/home
WORKDIR /home
                        
# 2023-11-02 12:10:04  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
                        
# 2023-11-02 12:10:04  0.00B 设置环境变量 CUDNN_VERSION
ENV CUDNN_VERSION=8.9.1
                        
# 2023-11-02 12:10:04  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
                        
# 2023-11-02 12:07:42  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
                        
# 2023-11-02 12:07:42  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
                        
# 2023-11-02 12:07:42  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
                        
# 2023-11-02 12:07:42  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
                        
# 2023-11-02 12:07:42  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
                        
# 2023-11-02 12:07:41  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
                        
# 2023-11-02 12:07:41  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
                        
# 2023-11-01 23:41:00  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
                        
# 2023-11-01 23:40:43  5.27GB 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
                        
# 2023-11-01 23:38:14  36.76KB 复制新文件或目录到容器中
COPY tools/dockerfile/build_scripts /build_scripts # buildkit
                        
# 2023-11-01 23:38:14  0.00B 设置工作目录为/usr/bin
WORKDIR /usr/bin
                        
# 2023-11-01 23:38:14  509.12MB 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 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
                        
# 2023-11-01 23:36:00  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
                        
# 2023-11-01 23:35:59  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
                        
# 2023-11-01 23:35:59  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
                        
# 2023-11-01 23:35:58  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
                        
# 2023-11-01 23:35:58  1.29KB 复制新文件或目录到容器中
COPY paddle/scripts/docker/root/ /root/ # buildkit
                        
# 2023-11-01 23:35:58  0.00B 设置环境变量 HOME
ENV HOME=/root
                        
# 2023-11-01 23:35:58  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
                        
# 2023-11-01 23:35:58  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2023-11-01 23:35:58  0.00B 设置环境变量 WITH_AVX
ENV WITH_AVX=ON
                        
# 2023-11-01 23:35:58  0.00B 设置环境变量 WITH_GPU
ENV WITH_GPU=ON
                        
# 2023-11-01 23:35:58  0.00B 定义构建参数
ARG WITH_AVX
                        
# 2023-11-01 23:35:58  0.00B 定义构建参数
ARG WITH_GPU
                        
# 2023-11-01 23:35:58  0.00B 
MAINTAINER PaddlePaddle Authors <paddle-dev@baidu.com>
                        
# 2023-06-21 09:06:16  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
                        
# 2023-06-21 09:06:16  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=8.8.0.121
                        
# 2023-06-21 09:06:16  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-06-21 09:06:16  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-06-21 09:06:16  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
                        
# 2023-06-21 09:06:16  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn8=8.8.0.121-1+cuda12.0
                        
# 2023-06-21 09:06:16  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
                        
# 2023-06-21 09:06:16  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=8.8.0.121
                        
# 2023-06-21 08:39:39  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2023-06-21 08:39:39  379.47KB 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
                        
# 2023-06-21 08:39:35  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
                        
# 2023-06-21 08:39:35  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-06-21 08:39:35  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-06-21 08:39:35  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
                        
# 2023-06-21 08:39:35  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.17.1-1
                        
# 2023-06-21 08:39:35  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.17.1-1
                        
# 2023-06-21 08:39:35  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2023-06-21 08:39:35  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
                        
# 2023-06-21 08:39:35  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.0.90-1
                        
# 2023-06-21 08:39:35  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
                        
# 2023-06-21 08:39:35  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.0.0-1
                        
# 2023-06-21 08:39:35  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
                        
# 2023-06-21 08:39:35  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-0
                        
# 2023-06-21 08:39:35  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.0.1.189-1
                        
# 2023-06-21 08:39:35  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
                        
# 2023-06-21 08:39:35  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.0.0.30-1
                        
# 2023-06-21 08:39:35  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.0.0.76-1
                        
# 2023-06-21 08:39:35  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.0.76-1
                        
# 2023-06-21 08:39:35  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.0.107-1
                        
# 2023-06-21 08:39:35  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.0.0-1
                        
# 2023-06-21 08:27:37  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-06-21 08:27:37  0.00B 设置环境变量 NVIDIA_CUDA_END_OF_LIFE
ENV NVIDIA_CUDA_END_OF_LIFE=1
                        
# 2023-06-21 08:27:37  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-06-21 08:27:37  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2023-06-21 08:27:37  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2023-06-21 08:27:37  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
                        
# 2023-06-21 08:27:36  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
                        
# 2023-06-21 08:27:36  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-06-21 08:27:36  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-06-21 08:27:36  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.0
                        
# 2023-06-21 08:27:36  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.17.1-1
                        
# 2023-06-21 08:27:36  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1
                        
# 2023-06-21 08:27:36  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2023-06-21 08:27:36  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-0=12.0.1.189-1
                        
# 2023-06-21 08:27:36  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.0.1.189-1
                        
# 2023-06-21 08:27:36  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-0
                        
# 2023-06-21 08:27:36  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.0.0.76-1
                        
# 2023-06-21 08:27:36  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-0=12.0.0.30-1
                        
# 2023-06-21 08:27:36  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.0.0.30-1
                        
# 2023-06-21 08:27:36  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.0.76-1
                        
# 2023-06-21 08:27:36  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.0.0-1
                        
# 2023-06-21 08:21:03  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-06-21 08:21:03  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-06-21 08:21:03  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-06-21 08:21:03  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-06-21 08:21:03  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
                        
# 2023-06-21 08:21:03  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
                        
# 2023-06-21 08:21:02  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
                        
# 2023-06-21 08:20:44  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.0.0
                        
# 2023-06-21 08:20:44  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
                        
# 2023-06-21 08:20:44  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-06-21 08:20:44  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-06-21 08:20:44  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-0
                        
# 2023-06-21 08:20:44  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.0.107-1
                        
# 2023-06-21 08:20:44  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
                        
# 2023-06-21 08:20:44  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2023-06-06 01:08:58  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-06-06 01:08:58  72.79MB 
/bin/sh -c #(nop) ADD file:655d373cb551d0dd5d7867f88a4f98908dc3f16190986f693e88c423e6f21b8d in / 
                        
# 2023-06-06 01:08:57  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=20.04
                        
# 2023-06-06 01:08:57  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-06-06 01:08:57  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-06-06 01:08:57  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息 

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    "RepoTags": [
        "paddlepaddle/paddle:latest-dev-cuda12.0-cudnn8.9-trt8.6-gcc12.2",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle:latest-dev-cuda12.0-cudnn8.9-trt8.6-gcc12.2"
    ],
    "RepoDigests": [
        "paddlepaddle/paddle@sha256:d95e80e5ff7c0e2bc561771f73b83861204314621220df6bf3a1058da846724c",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlepaddle/paddle@sha256:92556b93ca2cb8520c2b9b476b06ccc237f1105d7aa9a8c4c2be79bb731206fe"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2023-11-07T19:28:19.808650513+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",
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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
193

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

linux/amd64 docker.io22.04GB2025-01-17 01:39
135

docker.io/paddlepaddle/paddle:latest-dev-cuda12.0-cudnn8.9-trt8.6-gcc12.2

linux/amd64 docker.io32.98GB2025-03-09 08:53
64

docker.io/paddlepaddle/paddle:2.6.1

linux/amd64 docker.io4.66GB2025-04-13 21:10
74