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Commit 42309d4f
authored
Jan 06, 2020
by
tingweiwang
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script/harbor/autodl-workspace-push.sh
script/harbor/harbor_install.sh
script/harbor/push-base-images.sh
script/harbor/autodl-workspace-push.sh
deleted
100755 → 0
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2f67668
#!/bin/bash
#wangtingwei
harbor_host
=
192.168.1.32:5000
harbor_passwd
=
admin
image_path
=
/root/workspace_image
for
image
in
`
ls
$image_path
`
do
echo
"开始导入镜像到本地"
#docker load -i $image_path/$image
done
echo
"开始给镜像打tag"
image_name
=(
autodl/tensorflow:1.8.0-py3
hb.seetatech.com/autodl-workspace/pytorch:cpu-py3-v1.2.0
hb.seetatech.com/autodl-workspace/pytorch:cuda10.0-py3-v1.2.0
hb.seetatech.com/autodl-workspace/pytorch:cpu-py3-v0.4.1
hb.seetatech.com/autodl-workspace/pytorch:cuda9.2-py3-v0.4.1
hb.seetatech.com/autodl-workspace/tensorflow:cpu-py3-v1.5.0
hb.seetatech.com/autodl-workspace/tensorflow:gpu-py3-v1.5.0
hb.seetatech.com/autodl-workspace/tensorflow:cpu-py3-v1.8.0
hb.seetatech.com/autodl-workspace/tensorflow:gpu-py3-v1.8.0
hb.seetatech.com/autodl-workspace/tensorflow:cpu-py3-v1.14.0
hb.seetatech.com/autodl-workspace/tensorflow:gpu-py3-v1.14.0
)
for
i
in
${
image_name
[@]
}
do
z
=
`
echo
$i
|awk -F /
'{print $3}'
`
echo
$z
#docker tag $i $harbor_host/autodl-workspace/$z
#docker login $harbor_host -u admin -p $harbor_passwd
#docker push $harbor_host/autodl-workspace/$z
done
script/harbor/harbor_install.sh
deleted
100755 → 0
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2f67668
#!/bin/bash
harbor_host
=
192.168.1.32:5000
echo
"解压harbor到/usr/local/目录"
tar -xvzf /root/k8s/package/harbor_aly.tar.gz -C /usr/local/
cd
/usr/local/harbor/
&&
sed -i s/harbor_host/
$harbor_host
/g harbor.cfg
&&
./prepare
&&
./install.sh
script/harbor/push-base-images.sh
deleted
100755 → 0
View file @
2f67668
#!/bin/bash
#wangtingwei
harbor_host
=
192.168.1.32:5000
harbor_passwd
=
admin
image_path
=
/root/k8s/images
for
image
in
`
ls
$image_path
`
do
echo
"开始导入镜像到本地"
docker load -i
$image_path
/
$image
done
echo
"开始给镜像打tag"
docker tag autodl/image-proxy:v0.9.0
$harbor_host
/k8s/image-proxy:v0.9.0
docker tag autodl/ubuntu-basic:16.04
$harbor_host
/k8s/ubuntu-basic:16.04
docker tag coredns/coredns:1.5.0
$harbor_host
/k8s/coredns:1.5.0
docker tag nvidia/k8s-device-plugin:1.10
$harbor_host
/k8s/k8s-device-plugin:1.10
docker tag busybox:1.28.3
$harbor_host
/k8s/busybox:1.28.3
docker tag registry.cn-hangzhou.aliyuncs.com/google-containers/pause-amd64:3.0
$harbor_host
/k8s/pause-amd64:3.0
docker tag nginx:latest
$harbor_host
/k8s/nginx:latest
docker tag nvidia/cuda:10.0-base-ubuntu16.04
$harbor_host
/k8s/cuda:10.0-base-ubuntu16.04
#docker tag hb.seetatech.com/k8s/operator:xx $harbor_host/k8s/operator:xxx
echo
"开始推送镜像到harbor"
docker login
$harbor_host
-u admin -p
$harbor_passwd
docker push
$harbor_host
/k8s/image-proxy:v0.9.0
docker push
$harbor_host
/k8s/ubuntu-basic:16.04
docker push
$harbor_host
/k8s/coredns:1.5.0
docker push
$harbor_host
/k8s/k8s-device-plugin:1.10
docker push
$harbor_host
/k8s/busybox:1.28.3
docker push
$harbor_host
/k8s/pause-amd64:3.0
docker push
$harbor_host
/k8s/nginx:latest
docker push
$harbor_host
/k8s/cuda:10.0-base-ubuntu16.04
#docker push $harbor_host/k8s/operator:xxx
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