github-actions[bot]
commented
1 year ago Hello，您可以直接执行该命令：
echo -e 'docker pull jppp123/gcr.io.ml-pipeline.persistenceagent:2.0.0-alpha.5\ndocker tag jppp123/gcr.io.ml-pipeline.persistenceagent:2.0.0-alpha.5 gcr.io/ml-pipeline/persistenceagent:2.0.0-alpha.5\n\ndocker pull jppp123/gcr.io.ml-pipeline.viewer-crd-controller:2.0.0-alpha.5\ndocker tag jppp123/gcr.io.ml-pipeline.viewer-crd-controller:2.0.0-alpha.5 gcr.io/ml-pipeline/viewer-crd-controller:2.0.0-alpha.5\n\ndocker pull jppp123/gcr.io.ml-pipeline.scheduledworkflow:2.0.0-alpha.5\ndocker tag jppp123/gcr.io.ml-pipeline.scheduledworkflow:2.0.0-alpha.5 gcr.io/ml-pipeline/scheduledworkflow:2.0.0-alpha.5\n\ndocker pull jppp123/gcr.io.ml-pipeline.api-server:2.0.0-alpha.5\ndocker tag jppp123/gcr.io.ml-pipeline.api-server:2.0.0-alpha.5 gcr.io/ml-pipeline/api-server:2.0.0-alpha.5\n\ndocker pull jppp123/gcr.io.ml-pipeline.frontend:2.0.0-alpha.5\ndocker tag jppp123/gcr.io.ml-pipeline.frontend:2.0.0-alpha.5 gcr.io/ml-pipeline/frontend:2.0.0-alpha.5\n\ndocker pull jppp123/gcr.io.ml-pipeline.visualization-server:1.8.1\ndocker tag jppp123/gcr.io.ml-pipeline.visualization-server:1.8.1 gcr.io/ml-pipeline/visualization-server:1.8.1\n\ndocker pull jppp123/gcr.io.ml-pipeline.visualization-server:2.0.0-alpha.5\ndocker tag jppp123/gcr.io.ml-pipeline.visualization-server:2.0.0-alpha.5 gcr.io/ml-pipeline/visualization-server:2.0.0-alpha.5\n\n' | bash或是手动执行：
docker pull jppp123/gcr.io.ml-pipeline.persistenceagent:2.0.0-alpha.5
docker tag jppp123/gcr.io.ml-pipeline.persistenceagent:2.0.0-alpha.5 gcr.io/ml-pipeline/persistenceagent:2.0.0-alpha.5
docker pull jppp123/gcr.io.ml-pipeline.viewer-crd-controller:2.0.0-alpha.5
docker tag jppp123/gcr.io.ml-pipeline.viewer-crd-controller:2.0.0-alpha.5 gcr.io/ml-pipeline/viewer-crd-controller:2.0.0-alpha.5
docker pull jppp123/gcr.io.ml-pipeline.scheduledworkflow:2.0.0-alpha.5
docker tag jppp123/gcr.io.ml-pipeline.scheduledworkflow:2.0.0-alpha.5 gcr.io/ml-pipeline/scheduledworkflow:2.0.0-alpha.5
docker pull jppp123/gcr.io.ml-pipeline.api-server:2.0.0-alpha.5
docker tag jppp123/gcr.io.ml-pipeline.api-server:2.0.0-alpha.5 gcr.io/ml-pipeline/api-server:2.0.0-alpha.5
docker pull jppp123/gcr.io.ml-pipeline.frontend:2.0.0-alpha.5
docker tag jppp123/gcr.io.ml-pipeline.frontend:2.0.0-alpha.5 gcr.io/ml-pipeline/frontend:2.0.0-alpha.5
docker pull jppp123/gcr.io.ml-pipeline.visualization-server:1.8.1
docker tag jppp123/gcr.io.ml-pipeline.visualization-server:1.8.1 gcr.io/ml-pipeline/visualization-server:1.8.1
docker pull jppp123/gcr.io.ml-pipeline.visualization-server:2.0.0-alpha.5
docker tag jppp123/gcr.io.ml-pipeline.visualization-server:2.0.0-alpha.5 gcr.io/ml-pipeline/visualization-server:2.0.0-alpha.5
希望可以帮助到您，祝您周二愉快！
{ "hub-mirror": [ "gcr.io/ml-pipeline/visualization-server:1.8.1", "gcr.io/ml-pipeline/visualization-server:2.0.0-alpha.5", "gcr.io/ml-pipeline/api-server:2.0.0-alpha.5", "gcr.io/ml-pipeline/persistenceagent:2.0.0-alpha.5", "gcr.io/ml-pipeline/scheduledworkflow:2.0.0-alpha.5", "gcr.io/ml-pipeline/frontend:2.0.0-alpha.5", "gcr.io/ml-pipeline/viewer-crd-controller:2.0.0-alpha.5" ] }