docker.io/paddlecloud/paddlespeech:develop-gpu-cuda11.2-cudnn8-latest linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlecloud/paddlespeech:develop-gpu-cuda11.2-cudnn8-latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlecloud/paddlespeech:develop-gpu-cuda11.2-cudnn8-latest  docker.io/paddlecloud/paddlespeech:develop-gpu-cuda11.2-cudnn8-latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlecloud/paddlespeech:develop-gpu-cuda11.2-cudnn8-latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlecloud/paddlespeech:develop-gpu-cuda11.2-cudnn8-latest  docker.io/paddlecloud/paddlespeech:develop-gpu-cuda11.2-cudnn8-latest

Shell快速替换命令

sed -i 's#paddlecloud/paddlespeech:develop-gpu-cuda11.2-cudnn8-latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlecloud/paddlespeech:develop-gpu-cuda11.2-cudnn8-latest#' 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/paddlecloud/paddlespeech:develop-gpu-cuda11.2-cudnn8-latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlecloud/paddlespeech:develop-gpu-cuda11.2-cudnn8-latest  docker.io/paddlecloud/paddlespeech:develop-gpu-cuda11.2-cudnn8-latest'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlecloud/paddlespeech:develop-gpu-cuda11.2-cudnn8-latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/paddlecloud/paddlespeech:develop-gpu-cuda11.2-cudnn8-latest  docker.io/paddlecloud/paddlespeech:develop-gpu-cuda11.2-cudnn8-latest'

镜像构建历史

# 0001-01-01 08:00:00  1.35GB 执行命令并创建新的镜像层
RUN pip3.7 install . -i https://mirror.baidu.com/pypi/simple
                        
# 0001-01-01 08:00:00  153.41MB 执行命令并创建新的镜像层
RUN pip3.7 install --no-cache-dir --upgrade jupyter-server==1.6.4 jupyterlab==3.3.4 ipykernel ipython     -i https://mirror.baidu.com/pypi/simple
                        
# 0001-01-01 08:00:00  11.36MB 执行命令并创建新的镜像层
RUN pip3.7 install --no-cache-dir --upgrade pip     -i https://mirror.baidu.com/pypi/simple
                        
# 0001-01-01 08:00:00  69.53MB 复制新文件或目录到容器中
COPY ${PADDLE_TOOLKIT} ./${PADDLE_TOOLKIT}
                        
# 0001-01-01 08:00:00  24.06KB 执行命令并创建新的镜像层
RUN chmod +x /tini
                        
# 0001-01-01 08:00:00  24.06KB 复制新文件或目录到容器中
COPY ./Resource/tini /tini
                        
# 0001-01-01 08:00:00  1.28KB 执行命令并创建新的镜像层
RUN ssh-keygen -A
                        
# 0001-01-01 08:00:00  2.13KB 执行命令并创建新的镜像层
RUN sed -i -r "s/^(.*pam_nologin.so)/#\1/" /etc/pam.d/sshd
                        
# 0001-01-01 08:00:00  3.26KB 执行命令并创建新的镜像层
RUN sed -i "s/#UseDNS .*/UseDNS no/" /etc/ssh/sshd_config
                        
# 0001-01-01 08:00:00  104.95MB 执行命令并创建新的镜像层
RUN /usr/sbin/sshd -p 22; if [ $? -ne 0 ]; then     rm -rf /etc/ssh/sshd_config && apt-get install     -y openssh-server; fi
                        
# 0001-01-01 08:00:00  0.00B 执行命令并创建新的镜像层
RUN mkdir -p /var/run/sshd /root/.ssh
                        
# 0001-01-01 08:00:00  350.72MB 执行命令并创建新的镜像层
RUN apt-get update
                        
# 0001-01-01 08:00:00  7.32KB 复制新文件或目录到容器中
COPY ./Resource/trusted.gpg.d /etc/apt/trusted.gpg.d
                        
# 0001-01-01 08:00:00  1.13KB 复制新文件或目录到容器中
COPY ./Resource/trusted.gpg /etc/apt/
                        
# 0001-01-01 08:00:00  902.00B 复制新文件或目录到容器中
COPY ./Resource/sources.list /etc/apt/
                        
# 0001-01-01 08:00:00  0.00B 执行命令并创建新的镜像层
RUN rm -rf /etc/apt/* && mkdir -p /etc/apt/apt.conf.d     /Resource/trusted.gpg.d /etc/apt/preferences.d
                        
# 2022-05-07 18:04:50  0.00B 
/bin/sh -c #(nop)  EXPOSE 22
                        
# 2022-05-07 18:04:37  2.24GB 
/bin/sh -c wget -q https://paddle-wheel.bj.bcebos.com/2.3.0/linux/linux-gpu-cuda11.2-cudnn8-mkl-gcc8.2-avx/paddlepaddle_gpu-2.3.0.post112-cp37-cp37m-linux_x86_64.whl && pip3.7 install paddlepaddle_gpu-2.3.0.post112-cp37-cp37m-linux_x86_64.whl && rm -f paddlepaddle_gpu-2.3.0.post112-cp37-cp37m-linux_x86_64.whl
                        
# 2022-05-07 18:01:08  754.26MB 
/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 -r * /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
                        
# 2022-05-07 18:00:13  649.50KB 
/bin/sh -c wget https://paddle-ci.gz.bcebos.com/ccache-3.7.9.tar.gz &&     tar xf ccache-3.7.9.tar.gz && mkdir /usr/local/ccache-3.7.9 && cd ccache-3.7.9 &&     ./configure -prefix=/usr/local/ccache-3.7.9 &&     make -j8 && make install &&     ln -s /usr/local/ccache-3.7.9/bin/ccache /usr/local/bin/ccache &&     cd ../ && rm -rf ccache-3.7.9 ccache-3.7.9.tar.gz
                        
# 2022-05-07 18:00:00  1.39MB 
/bin/sh -c wget -q https://paddle-ci.cdn.bcebos.com/patchelf_0.10-2_amd64.deb &&     dpkg -i patchelf_0.10-2_amd64.deb &&     rm -rf patchelf_0.10-2_amd64.deb
                        
# 2022-05-07 17:59:52  101.14MB 
/bin/sh -c pip3.7 --no-cache-dir install -r /root/requirements.txt
                        
# 2022-05-07 17:59:27  111.00B 
/bin/sh -c #(nop) COPY file:bc4693cd898e02b45ba8a6aa1f1dd126338d9c783841082a59e14a2154cc17da in /root/ 
                        
# 2022-05-07 17:59:25  12.53MB 
/bin/sh -c pip3.7 --no-cache-dir install pylint pytest astroid isort
                        
# 2022-05-07 17:59:14  38.91MB 
/bin/sh -c pip3.7 --no-cache-dir install pre-commit==1.10.4 ipython==5.3.0 &&     pip3.7 --no-cache-dir install ipykernel==4.6.0 wheel
                        
# 2022-05-07 17:58:54  3.48MB 
/bin/sh -c localedef -i en_US -f UTF-8 en_US.UTF-8
                        
# 2022-05-07 17:58:49  649.00B 
/bin/sh -c git config --global credential.helper store
                        
# 2022-05-07 17:58:46  0.00B 
/bin/sh -c curl -s -q https://glide.sh/get | sh
                        
# 2022-05-07 17:58:42  0.00B 
/bin/sh -c #(nop)  ENV PATH=/home/cmake-3.16.0-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
                        
# 2022-05-07 17:58:40  0.00B 
/bin/sh -c #(nop)  ENV GOROOT=/usr/local/go GOPATH=/root/gopath
                        
# 2022-05-07 17:58:32  407.78MB 
/bin/sh -c wget -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
                        
# 2022-05-07 17:57:23  140.59MB 
/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
                        
# 2022-05-07 17:54:30  42.00B 
/bin/sh -c rm /usr/local/bin/pip && ln -s /usr/local/bin/pip3.7 /usr/local/bin/pip &&   rm /usr/local/bin/pip3 && ln -s /usr/local/bin/pip3.7 /usr/local/bin/pip3
                        
# 2022-05-07 17:54:27  0.00B 
/bin/sh -c rm setuptools-50.3.2.zip pip-20.0.1.tar.gz &&     rm -r setuptools-50.3.2 pip-20.0.1
                        
# 2022-05-07 17:54:23  0.00B 
/bin/sh -c #(nop) WORKDIR /home
                        
# 2022-05-07 17:54:21  14.87MB 
/bin/sh -c python3.7 setup.py install
                        
# 2022-05-07 17:54:14  0.00B 
/bin/sh -c #(nop) WORKDIR /home/pip-20.0.1
                        
# 2022-05-07 17:54:12  6.38MB 
/bin/sh -c wget https://files.pythonhosted.org/packages/28/af/2c76c8aa46ccdf7578b83d97a11a2d1858794d4be4a1610ade0d30182e8b/pip-20.0.1.tar.gz && tar -zxvf pip-20.0.1.tar.gz
                        
# 2022-05-07 17:54:08  0.00B 
/bin/sh -c #(nop) WORKDIR /home
                        
# 2022-05-07 17:54:06  6.08MB 
/bin/sh -c python3.7 setup.py build && python3.7 setup.py install
                        
# 2022-05-07 17:54:01  0.00B 
/bin/sh -c #(nop) WORKDIR /home/setuptools-50.3.2
                        
# 2022-05-07 17:53:59  7.31MB 
/bin/sh -c wget https://files.pythonhosted.org/packages/a7/e0/30642b9c2df516506d40b563b0cbd080c49c6b3f11a70b4c7a670f13a78b/setuptools-50.3.2.zip && apt-get -y install unzip && unzip setuptools-50.3.2.zip
                        
# 2022-05-07 17:53:52  0.00B 
/bin/sh -c #(nop) WORKDIR /home
                        
# 2022-05-07 17:53:50  97.09MB 
/bin/sh -c apt-get update &&   apt-get install -y python3.7 python3.7-dev python3.7-distutils &&   mv /usr/bin/python /usr/bin/python.bak && ln -s /usr/bin/python3.7 /usr/bin/python &&   mv /usr/bin/python3 /usr/bin/python3.bak && ln -s /usr/bin/python3.7 /usr/bin/python3
                        
# 2022-05-07 17:40:46  0.00B 
/bin/sh -c #(nop)  ENV PATH=/home/cmake-3.16.0-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
                        
# 2022-05-07 17:40:43  107.23MB 
/bin/sh -c wget -q https://cmake.org/files/v3.16/cmake-3.16.0-Linux-x86_64.tar.gz && tar -zxvf cmake-3.16.0-Linux-x86_64.tar.gz && rm cmake-3.16.0-Linux-x86_64.tar.gz
                        
# 2022-05-07 17:39:46  0.00B 
/bin/sh -c #(nop) WORKDIR /home
                        
# 2022-05-07 17:39:44  0.00B 
/bin/sh -c #(nop)  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
                        
# 2022-05-07 17:39:43  26.00B 
/bin/sh -c ln -s /usr/local/gcc-8.2/bin/g++ /usr/bin/g++
                        
# 2022-05-07 17:39:39  26.00B 
/bin/sh -c ln -s /usr/local/gcc-8.2/bin/gcc /usr/bin/gcc
                        
# 2022-05-07 17:39:35  26.00B 
/bin/sh -c ln -s /usr/local/gcc-8.2/bin/g++ /usr/local/bin/g++
                        
# 2022-05-07 17:39:30  26.00B 
/bin/sh -c ln -s /usr/local/gcc-8.2/bin/gcc /usr/local/bin/gcc
                        
# 2022-05-07 17:39:26  2.09MB 
/bin/sh -c cp gcc gcc.bak && cp g++ g++.bak && rm gcc && rm g++
                        
# 2022-05-07 17:39:13  1.55GB 
/bin/sh -c bash /build_scripts/install_gcc.sh gcc82 && rm -rf /build_scripts
                        
# 2022-05-07 16:51:31  36.15KB 
/bin/sh -c #(nop) COPY dir:4a88e91801fb0faf608a6a2f47a3ed571afd76c4fce29eea1656c03be0fb63e7 in /build_scripts 
                        
# 2022-05-07 16:51:30  0.00B 
/bin/sh -c #(nop) WORKDIR /usr/bin
                        
# 2022-05-07 16:51:23  488.74MB 
/bin/sh -c apt-get update &&   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 python-qt4 libsm6 libxext6 libxrender-dev libgl1-mesa-glx     bison graphviz libjpeg-dev zlib1g-dev automake locales swig net-tools libtool module-init-tools
                        
# 2022-05-07 16:46:47  0.00B 
/bin/sh -c rm -rf /build_scripts
                        
# 2022-05-07 16:46:44  642.02KB 
/bin/sh -c dpkg -i /build_scripts/cuda-keyring_1.0-1_all.deb
                        
# 2022-05-07 16:46:39  36.15KB 
/bin/sh -c #(nop) COPY dir:4a88e91801fb0faf608a6a2f47a3ed571afd76c4fce29eea1656c03be0fb63e7 in /build_scripts 
                        
# 2022-05-07 16:46:38  0.00B 
/bin/sh -c rm /etc/apt/sources.list.d/cuda.list && rm /etc/apt/sources.list.d/nvidia-ml.list
                        
# 2022-05-07 16:46:34  1.13KB 
/bin/sh -c apt-key del 7fa2af80
                        
# 2022-04-20 14:25:08  1.29KB 
/bin/sh -c #(nop) COPY dir:9ed1d5b93d3297e4db56e1653c842cbbcf1da570c0847212c33f84d30915708c in /root/ 
                        
# 2022-04-20 14:25:07  0.00B 
/bin/sh -c #(nop)  ENV HOME=/root
                        
# 2022-04-20 14:25:06  0.00B 
/bin/sh -c #(nop)  ENV LD_LIBRARY_PATH=/usr/local/cuda-11.2/targets/x86_64-linux/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2022-04-20 14:25:04  0.00B 
/bin/sh -c #(nop)  ENV DEBIAN_FRONTEND=noninteractive
                        
# 2022-04-20 14:25:02  0.00B 
/bin/sh -c #(nop)  ENV WITH_AVX=ON
                        
# 2022-04-20 14:25:01  0.00B 
/bin/sh -c #(nop)  ENV WITH_GPU=ON
                        
# 2022-04-20 14:24:59  0.00B 
/bin/sh -c #(nop)  ARG WITH_AVX
                        
# 2022-04-20 14:24:58  0.00B 
/bin/sh -c #(nop)  ARG WITH_GPU
                        
# 2022-04-20 14:24:56  0.00B 
/bin/sh -c #(nop)  MAINTAINER PaddlePaddle Authors <paddle-dev@baidu.com>
                        
# 2021-03-10 06:01:49  2.82GB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     libcudnn8=$CUDNN_VERSION-1+cuda11.2     libcudnn8-dev=$CUDNN_VERSION-1+cuda11.2     && apt-mark hold libcudnn8 &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2021-03-10 06:01:49  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=8.1.1.33
                        
# 2021-03-10 06:01:49  0.00B 设置环境变量 CUDNN_VERSION
ENV CUDNN_VERSION=8.1.1.33
                        
# 2021-03-10 06:01:49  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2021-03-09 07:44:38  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2021-03-09 07:44:38  361.64KB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-mark hold libcublas-dev-11-2 libnccl-dev # buildkit
                        
# 2021-03-09 07:43:11  2.28GB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-dev-11-2=11.2.146-1     cuda-command-line-tools-11-2=11.2.1-1     cuda-minimal-build-11-2=11.2.1-1     cuda-libraries-dev-11-2=11.2.1-1     cuda-nvml-dev-11-2=11.2.67-1     libnpp-dev-11-2=11.3.2.139-1     libnccl-dev=2.8.4-1+cuda11.2     libcublas-dev-11-2=11.4.1.1026-1     libcusparse-dev-11-2=11.4.0.135-1     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2021-03-09 07:43:11  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.8.4
                        
# 2021-03-09 07:43:11  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2021-03-09 07:37:45  250.53KB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-mark hold libcublas-11-2 libnccl2 # buildkit
                        
# 2021-03-09 07:37:44  1.79GB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-libraries-11-2=11.2.1-1     libnpp-11-2=11.3.2.139-1     cuda-nvtx-11-2=11.2.67-1     libcublas-11-2=11.4.1.1026-1     libcusparse-11-2=11.4.0.135-1     libnccl2=$NCCL_VERSION-1+cuda11.2     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2021-03-09 07:37:44  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.8.4
                        
# 2021-03-09 07:37:44  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2021-03-09 07:35:08  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand driver>
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.2 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=440,driver<441 driver>=450,driver<451
                        
# 2021-03-09 07:35:08  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2021-03-09 07:35:08  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2021-03-09 07:35:08  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2021-03-09 07:35:08  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
                        
# 2021-03-09 07:35:08  46.00B 执行命令并创建新的镜像层
RUN /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
                        
# 2021-03-09 07:35:08  33.48MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-11-2=11.2.146-1     cuda-compat-11-2     && ln -s cuda-11.2 /usr/local/cuda &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2021-03-09 07:34:25  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.2.1
                        
# 2021-03-09 07:34:25  16.53MB 执行命令并创建新的镜像层
RUN /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/ubuntu1804/x86_64/7fa2af80.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 /" > /etc/apt/sources.list.d/cuda.list &&     echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2021-03-09 07:34:25  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2021-03-04 10:24:29  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2021-03-04 10:24:29  7.00B 
/bin/sh -c mkdir -p /run/systemd && echo 'docker' > /run/systemd/container
                        
# 2021-03-04 10:24:28  0.00B 
/bin/sh -c [ -z "$(apt-get indextargets)" ]
                        
# 2021-03-04 10:24:27  745.00B 
/bin/sh -c set -xe 		&& echo '#!/bin/sh' > /usr/sbin/policy-rc.d 	&& echo 'exit 101' >> /usr/sbin/policy-rc.d 	&& chmod +x /usr/sbin/policy-rc.d 		&& dpkg-divert --local --rename --add /sbin/initctl 	&& cp -a /usr/sbin/policy-rc.d /sbin/initctl 	&& sed -i 's/^exit.*/exit 0/' /sbin/initctl 		&& echo 'force-unsafe-io' > /etc/dpkg/dpkg.cfg.d/docker-apt-speedup 		&& echo 'DPkg::Post-Invoke { "rm -f /var/cache/apt/archives/*.deb /var/cache/apt/archives/partial/*.deb /var/cache/apt/*.bin || true"; };' > /etc/apt/apt.conf.d/docker-clean 	&& echo 'APT::Update::Post-Invoke { "rm -f /var/cache/apt/archives/*.deb /var/cache/apt/archives/partial/*.deb /var/cache/apt/*.bin || true"; };' >> /etc/apt/apt.conf.d/docker-clean 	&& echo 'Dir::Cache::pkgcache ""; Dir::Cache::srcpkgcache "";' >> /etc/apt/apt.conf.d/docker-clean 		&& echo 'Acquire::Languages "none";' > /etc/apt/apt.conf.d/docker-no-languages 		&& echo 'Acquire::GzipIndexes "true"; Acquire::CompressionTypes::Order:: "gz";' > /etc/apt/apt.conf.d/docker-gzip-indexes 		&& echo 'Apt::AutoRemove::SuggestsImportant "false";' > /etc/apt/apt.conf.d/docker-autoremove-suggests
                        
# 2021-03-04 10:24:26  63.26MB 
/bin/sh -c #(nop) ADD file:d65963eb4f4b3a8c8e57119725a91036e8932a3e8f604e7edc21ff9665472da9 in / 
                        
                    

镜像信息

{
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    "RepoTags": [
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    "Comment": "",
    "Created": "2023-05-31T16:29:19.617581229Z",
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    "Author": "PaddlePaddle Authors \u003cpaddle-dev@baidu.com\u003e",
    "Config": {
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        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
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            "8888/tcp": {}
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        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
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            "CUDA_VERSION=11.2.1",
            "LD_LIBRARY_PATH=/usr/local/cuda-11.2/targets/x86_64-linux/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=11.2 brand=tesla,driver\u003e=418,driver\u003c419 brand=tesla,driver\u003e=440,driver\u003c441 driver\u003e=450,driver\u003c451",
            "NCCL_VERSION=2.8.4",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs",
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            "WITH_GPU=ON",
            "WITH_AVX=ON",
            "DEBIAN_FRONTEND=noninteractive",
            "HOME=/root",
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        ],
        "Cmd": [
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        ],
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        "Volumes": null,
        "WorkingDir": "/home/PaddleSpeech",
        "Entrypoint": [
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        "Labels": {
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            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e"
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