优化gpu-k8s脚本

config/ansible-hosts

 [etcd]
 [etcd]
-192.168.1.32
+etcd_ip
 [master]
 [master]
-192.168.1.32
-[node]
-192.168.1.32
+master_ip
 
 
 
 
 
 

config/daemon.json_gpu

 {
 {
+    "registry-mirrors": ["https://hub-mirror.c.163.com","https://rrkngb5t.mirror.aliyuncs.com"],
     "insecure-registries":["harbor_host"],
     "insecure-registries":["harbor_host"],
     "default-runtime": "nvidia",
     "default-runtime": "nvidia",
     "runtimes": {
     "runtimes": {
@@ -8,3 +9,4 @@
         }
         }
     }
     }
 }
 }
+

script/autodl/reset_mysql.sh

 #!/bin/bash
 #!/bin/bash
 user=root
 user=root
 password=seetatech
 password=seetatech
-#echo "删除数据库autodl-core"
-#mysql -u $user -p$password -e 'drop database `autodl-core`'
+echo "删除数据库autodl-core"
+mysql -u $user -p$password -e 'drop database `autodl-core`'
 echo "删除数据库autocnn"
 echo "删除数据库autocnn"
 mysql -u $user -p$password -e 'drop database `autocnn`'
 mysql -u $user -p$password -e 'drop database `autocnn`'
 #################################################
 #################################################
-#echo "重新创建数据库autodl-core"
-#mysql -u $user -p$password -e 'create database `autodl-core`'
+echo "重新创建数据库autodl-core"
+mysql -u $user -p$password -e 'create database `autodl-core`'
 echo "重新创建数据库autocnn"
 echo "重新创建数据库autocnn"
 mysql -u $user -p$password -e 'create  database `autocnn`'
 mysql -u $user -p$password -e 'create  database `autocnn`'

script/harbor/push-autodl-workspace.sh

+#!/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=(
+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
+for z in `echo $i |awk -F / '{print $3}'`
+do 
+echo $z
+docker tag $i $harbor_host/autodl-workspace/$z
+docker push $harbor_host/autodl-workspace/$z
+done
+done
+

script/harbor/push_harbor.sh → script/harbor/push-base-images.sh

@@ -16,7 +16,7 @@ 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 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 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 nginx:latest $harbor_host/k8s/nginx:latest
-docker tag hb.seetatech.com/k8s/operator:0.0.19  $harbor_host/k8s/operator:0.0.19
+#docker tag hb.seetatech.com/k8s/operator:0.0.19  $harbor_host/k8s/operator:0.0.19
 echo "开始推送镜像到harbor"
 echo "开始推送镜像到harbor"
 docker push $harbor_host/k8s/image-proxy:v0.9.0 
 docker push $harbor_host/k8s/image-proxy:v0.9.0 
 docker push $harbor_host/k8s/ubuntu-basic:16.04
 docker push $harbor_host/k8s/ubuntu-basic:16.04
@@ -25,5 +25,5 @@ docker push $harbor_host/k8s/k8s-device-plugin:1.10
 docker push $harbor_host/k8s/busybox:1.28.3
 docker push $harbor_host/k8s/busybox:1.28.3
 docker push $harbor_host/k8s/pause-amd64:3.0
 docker push $harbor_host/k8s/pause-amd64:3.0
 docker push $harbor_host/k8s/nginx:latest
 docker push $harbor_host/k8s/nginx:latest
-docker push $harbor_host/k8s/operator:0.0.19
+#docker push $harbor_host/k8s/operator:0.0.19