docker.io/multilingualnlp/mdeval:v1 linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/multilingualnlp/mdeval:v1
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/multilingualnlp/mdeval:v1  docker.io/multilingualnlp/mdeval:v1

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/multilingualnlp/mdeval:v1
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/multilingualnlp/mdeval:v1  docker.io/multilingualnlp/mdeval:v1

Shell快速替换命令

sed -i 's#multilingualnlp/mdeval:v1#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/multilingualnlp/mdeval:v1#' 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/multilingualnlp/mdeval:v1 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/multilingualnlp/mdeval:v1  docker.io/multilingualnlp/mdeval:v1'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/multilingualnlp/mdeval:v1 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/multilingualnlp/mdeval:v1  docker.io/multilingualnlp/mdeval:v1'

镜像构建历史

# 2025-02-13 11:20:17  2.49GB 
/bin/bash
                        
# 2024-11-07 14:13:54  10.86GB 
/bin/bash
                        
# 2022-09-20 19:02:14  11.60KB 
sh -lc update-alternatives --install /usr/bin/java java $JAVA_HOME/bin/java 20000     && update-alternatives --install /usr/bin/javac javac $JAVA_HOME/bin/javac 20000     && rm -r /workspace/download     && env
                        
# 2022-09-20 19:02:13  0.00B 
sh -lc #(nop)  SHELL [sh -lc]
                        
# 2022-09-20 19:02:12  181.30MB 
/bin/sh -c git clone https://github.com/THUDM/CodeGeeX.git && pip install -e /workspace/CodeGeeX     && tar -zxf /workspace/CodeGeeX/codegeex/benchmark/humaneval-x/go/evaluation/vendor.tar.gz -C /workspace/CodeGeeX/codegeex/benchmark/humaneval-x/go/evaluation
                        
# 2022-09-20 18:58:27  318.25MB 
/bin/sh -c curl -o /workspace/download/jdk.tar.gz -SL https://download.oracle.com/java/18/latest/jdk-18_linux-x64_bin.tar.gz     && mkdir /usr/java && tar -zxf /workspace/download/jdk.tar.gz -C /usr/java && rm /workspace/download/jdk.tar.gz     && java_path=`ls /usr/java/${path}` && echo "export JAVA_HOME=/usr/java/${java_path}" >> ~/.profile
                        
# 2022-09-20 18:58:04  0.00B 
/bin/sh -c #(nop)  ENV PATH=/usr/bin/openssl:/usr/local/lib/nodejs/node/bin:/bin:/usr/local/go/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2022-09-20 18:58:03  34.46MB 
/bin/sh -c curl -o /workspace/download/openssl.tar.gz -SL https://www.openssl.org/source/old/3.0/openssl-3.0.0.tar.gz     && tar -zxf /workspace/download/openssl.tar.gz && cd openssl-3.0.0 && ./Configure && make && make install     && rm /workspace/download/openssl.tar.gz && rm -r /workspace/openssl-3.0.0
                        
# 2022-09-20 18:51:04  180.87MB 
/bin/sh -c apt-get install -y build-essential && apt-get install -y g++     && curl -o /workspace/download/boost_1_71_0.tar.gz -SL https://boostorg.jfrog.io/artifactory/main/release/1.71.0/source/boost_1_71_0.tar.gz     && tar -zxf /workspace/download/boost_1_71_0.tar.gz && rm /workspace/download/boost_1_71_0.tar.gz && cd boost_1_71_0     && ./bootstrap.sh --prefix=/usr/ && ./b2 && ./b2 install     && cd .. && rm -r boost_1_71_0
                        
# 2022-09-20 18:49:21  0.00B 
/bin/sh -c #(nop)  ENV NODE_PATH=/usr/local/lib/node_modules
                        
# 2022-09-20 18:49:21  0.00B 
/bin/sh -c #(nop)  ENV PATH=/usr/local/lib/nodejs/node/bin:/bin:/usr/local/go/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2022-09-20 18:49:21  94.00MB 
/bin/sh -c curl -o /workspace/download/node.tar.gz -SL https://nodejs.org/download/release/v16.14.0/node-v16.14.0-linux-x64.tar.gz     && mkdir -p /usr/local/lib/nodejs && tar -zxf /workspace/download/node.tar.gz -C /usr/local/lib/nodejs && mv /usr/local/lib/nodejs/node-v16.14.0-linux-x64 /usr/local/lib/nodejs/node     && rm /workspace/download/node.tar.gz && npm install -g js-md5@0.7.3
                        
# 2022-09-20 18:48:27  0.00B 
/bin/sh -c #(nop)  ENV PATH=/bin:/usr/local/go/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2022-09-20 18:20:14  431.40MB 
/bin/sh -c curl -o /workspace/download/go.tar.gz -SL https://go.dev/dl/go1.18.4.linux-amd64.tar.gz     && tar -zxf /workspace/download/go.tar.gz -C /usr/local && rm /workspace/download/go.tar.gz
                        
# 2022-09-20 17:23:34  451.92MB 
/bin/sh -c cp /etc/apt/sources.list /etc/apt/sources.list.bak     && sed -i "s@http://.*archive.ubuntu.com@https://mirrors.tuna.tsinghua.edu.cn@g" /etc/apt/sources.list     && sed -i "s@http://.*security.ubuntu.com@https://mirrors.tuna.tsinghua.edu.cn@g" /etc/apt/sources.list     && pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple     && apt-get update && apt-get install -y curl npm git nano     && pip install fire zmq transformers tokenizers     && mkdir /workspace/download
                        
# 2022-03-11 01:16:12  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2022-03-11 01:16:07  0.00B 设置环境变量 PYTORCH_VERSION
ENV PYTORCH_VERSION=v1.11.0
                        
# 2022-03-11 01:16:07  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2022-03-11 01:16:07  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2022-03-11 01:16:07  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2022-03-11 01:16:07  0.00B 设置环境变量 PATH
ENV PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2022-03-11 01:16:07  5.72GB 复制新文件或目录到容器中
COPY /opt/conda /opt/conda # buildkit
                        
# 2022-03-11 01:06:09  32.34MB 执行命令并创建新的镜像层
RUN |1 PYTORCH_VERSION=v1.11.0 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends         ca-certificates         libjpeg-dev         libpng-dev &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-03-11 01:06:09  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver
                        
# 2022-03-11 01:06:09  0.00B 定义构建参数
ARG PYTORCH_VERSION
                        
# 2022-03-04 04:19:25  0.00B 
/bin/sh -c #(nop)  CMD ["bash"]
                        
# 2022-03-04 04:19:25  63.15MB 
/bin/sh -c #(nop) ADD file:dee0aa8497bd26ca41dffa17adff99be2523f66f9b2c557ba9ad2388ed052dca in / 
                        
                    

镜像信息

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    "Created": "2025-02-13T03:20:17.278488346Z",
    "Container": "",
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    "DockerVersion": "27.3.1",
    "Author": "",
    "Config": {
        "Hostname": "61fa51c6894d",
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        "AttachStdin": true,
        "AttachStdout": true,
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        "Tty": true,
        "OpenStdin": true,
        "StdinOnce": true,
        "Env": [
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            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
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        "Cmd": [
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        "Image": "dc9de177eab4",
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        "Labels": {
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