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[image-mirror] #866

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Wangqi12138 opened this issue Nov 20, 2024 · 1 comment
Open

[image-mirror] #866

Wangqi12138 opened this issue Nov 20, 2024 · 1 comment

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@Wangqi12138
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paddlepaddle/paddle:2.6.1-gpu-cuda11.7-cudnn8.4-trt8.4

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github-actions bot commented Nov 20, 2024

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镜像信息如下

  • dockerhub-image.yml
registry.cn-hangzhou.aliyuncs.com/images-speed-up/paddle:2.6.1-gpu-cuda11.7-cudnn8.4-trt8.4
  • images-init.yml
paddlepaddle/paddle:2.6.1-gpu-cuda11.7-cudnn8.4-trt8.4

典型使用场景Tips

配置镜像加速

20240606之后,应该加速的方式都逐步不可用了
获取阿里云镜像加速地址
根据提示配置镜像加速

sudo mkdir -p /etc/docker
sudo tee /etc/docker/daemon.json <<-'EOF'
{
  "registry-mirrors": ["https://xxxx.mirror.aliyuncs.com"]
}
EOF
sudo systemctl daemon-reload
sudo systemctl restart docker

镜像信息部分的的两个文件保存到本地
然后愉快的使用以下脚本跑起来

联网环境拉取到本地并且tag为原始tag

适用于无法拉取外网地址或拉取外网地址缓慢

img=$(cat dockerhub-image.yml)
for i in ${img[@]}
do
    tagName=$(echo $i | awk -F "/" '{print $NF}');
    docker pull $i;
    sourceTag=$(cat images-init.yml | grep $tagName);
    docker tag $i $sourceTag;
done

联网环境拉取到本地打包

适用于内网环境需要将公网镜像打包到内网镜像仓库

img=$(cat dockerhub-image.yml)
for i in ${img[@]}
do
    tagName=$(echo $i | awk -F "/" '{print $NF}');
    filePrefix=$(echo $tagName | awk -F ":" '{print $1}');
    fileSuffix=$(echo $tagName | awk -F ":" '{print $NF}');
    fileName=$filePrefix--$fileSuffix.gz
    docker pull $i;
    mkdir localImage || echo 0
    docker save $i -o localImage/$fileName 
done
    # tar -zcf localImage.tar.gz localImage

将本地镜像包解压并且上传到私有仓库

# 将压缩好的镜像文件放在localImage目录
img=$(ls localImage)
# 本地仓库信息 LOCAL_REGISTRY 和 LOCAL_NAMESPACE 需要指定
# 如镜像local.harbor.dev/ingress-nginx/kube-webhook-certgen:v1.1.1
# LOCAL_REGISTRY则为:local.harbor.dev
# LOCAL_NAMESPACE则为:ingress-nginx
LOCAL_REGISTRY=
LOCAL_NAMESPACE=
# 首先解压镜像
for i in ${img[@]}
do
    docker load -i $idone

# 解压完成后,重新打tag并且上传指定仓库,需要确保需要有对应仓库的权限
img=$(cat dockerhub-image.yml)
for i in ${img[@]}
do
    tagName=$(echo $i | awk -F "/" '{print $NF}');
    specialTag=$LOCAL_REGISTRY/$LOCAL_NAMESPACE/$tagName;
    docker tag $i $specialTag;
    docker push $specialTag;
done

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