Add script for component image release (#571)

* add script * update script * fix * Update .release.cloudbuild.yaml * comments * update
kubeflow · Dec 20, 2018 · 379d4d7 · 379d4d7
1 parent ca22c29
commit 379d4d7
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Showing 10 changed files with 96 additions and 296 deletions.
diff --git a/.release.cloudbuild.yaml b/.release.cloudbuild.yaml
@@ -116,229 +116,6 @@ steps:
   id:   'copyPythonSDKToLatest'
   waitFor: ['copyPythonSDKLocal']
 
-# Pull and retag the images for the Dataflow-based pipeline components
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['pull', 'gcr.io/$PROJECT_ID/ml-pipeline-dataflow-tf-predict:$COMMIT_SHA']
-  id:   'pullPredict'
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-dataflow-tf-predict:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tf-predict:$TAG_NAME']
-  id:   'tagPredictVersionNumber'
-  waitFor: ['pullPredict']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-dataflow-tf-predict:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tf-predict:$COMMIT_SHA']
-  id:   'tagPredictCommitSHA'
-  waitFor: ['pullPredict']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['pull', 'gcr.io/$PROJECT_ID/ml-pipeline-dataflow-tfdv:$COMMIT_SHA']
-  id:   'pullTFDV'
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-dataflow-tfdv:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tfdv:$TAG_NAME']
-  id:   'tagTFDVVersionNumber'
-  waitFor: ['pullTFDV']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-dataflow-tfdv:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tfdv:$COMMIT_SHA']
-  id:   'tagTFDVCommitSHA'
-  waitFor: ['pullTFDV']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['pull', 'gcr.io/$PROJECT_ID/ml-pipeline-dataflow-tft:$COMMIT_SHA']
-  id:   'pullTFT'
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-dataflow-tft:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tft:$TAG_NAME']
-  id:   'tagTFTVersionNumber'
-  waitFor: ['pullTFT']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-dataflow-tft:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tft:$COMMIT_SHA']
-  id:   'tagTFTCommitSHA'
-  waitFor: ['pullTFT']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['pull', 'gcr.io/$PROJECT_ID/ml-pipeline-dataflow-tfma:$COMMIT_SHA']
-  id:   'pullTFMA'
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-dataflow-tfma:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tfma:$TAG_NAME']
-  id:   'tagTFMAVersionNumber'
-  waitFor: ['pullTFMA']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-dataflow-tfma:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tfma:$COMMIT_SHA']
-  id:   'tagTFMACommitSHA'
-  waitFor: ['pullTFMA']
-
-# Pull and retag the images for the Kubeflow-based pipeline components
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['pull', 'gcr.io/$PROJECT_ID/ml-pipeline-kubeflow-deployer:$COMMIT_SHA']
-  id:   'pullDeployer'
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-kubeflow-deployer:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-deployer:$TAG_NAME']
-  id:   'tagDeployerVersionNumber'
-  waitFor: ['pullDeployer']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-kubeflow-deployer:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-deployer:$COMMIT_SHA']
-  id:   'tagDeployerCommitSHA'
-  waitFor: ['pullDeployer']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['pull', 'gcr.io/$PROJECT_ID/ml-pipeline-kubeflow-tf-trainer:$COMMIT_SHA']
-  id:   'pullTrainer'
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-kubeflow-tf-trainer:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:$TAG_NAME']
-  id:   'tagTrainerVersionNumber'
-  waitFor: ['pullTrainer']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-kubeflow-tf-trainer:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:$COMMIT_SHA']
-  id:   'tagTrainerCommitSHA'
-  waitFor: ['pullTrainer']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['pull', 'gcr.io/$PROJECT_ID/ml-pipeline-kubeflow-tf-trainer-gpu:$COMMIT_SHA']
-  id:   'pullGpuTrainer'
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-kubeflow-tf-trainer-gpu:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer-gpu:$TAG_NAME']
-  id:   'tagGpuTrainerVersionNumber'
-  waitFor: ['pullGpuTrainer']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-kubeflow-tf-trainer-gpu:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer-gpu:$COMMIT_SHA']
-  id:   'tagGpuTrainerCommitSHA'
-  waitFor: ['pullGpuTrainer']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['pull', 'gcr.io/$PROJECT_ID/ml-pipeline-kubeflow-tf:$COMMIT_SHA']
-  id:   'pullLauncher'
-- name: 'gcr.io/cloud-builders/docker'
-  entrypoint: '/bin/bash'
-  args: ['-c', 'printf "FROM gcr.io/$PROJECT_ID/ml-pipeline-kubeflow-tf:$COMMIT_SHA\nENV TRAINER_IMAGE_NAME gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:$COMMIT_SHA" > Dockerfile; docker build -t ml-pipeline-kubeflow-tf .']
-  id: 'buildLauncher'
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'ml-pipeline-kubeflow-tf', 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf:$TAG_NAME']
-  id:   'tagLauncherVersionNumber'
-  waitFor: ['buildLauncher']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'ml-pipeline-kubeflow-tf', 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf:$COMMIT_SHA']
-  id:   'tagLauncherCommitSHA'
-  waitFor: ['buildLauncher']
-
-# Pull and retag the images for the Dataproc-based pipeline components
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['pull', 'gcr.io/$PROJECT_ID/ml-pipeline-dataproc-analyze:$COMMIT_SHA']
-  id:   'pullDataprocAnalyze'
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-dataproc-analyze:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-dataproc-analyze:$TAG_NAME']
-  id:   'tagDataprocAnalyzeVersionNumber'
-  waitFor: ['pullDataprocAnalyze']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-dataproc-analyze:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-dataproc-analyze:$COMMIT_SHA']
-  id:   'tagDataprocAnalyzeCommitSHA'
-  waitFor: ['pullDataprocAnalyze']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['pull', 'gcr.io/$PROJECT_ID/ml-pipeline-dataproc-create-cluster:$COMMIT_SHA']
-  id:   'pullDataprocCreateCluster'
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-dataproc-create-cluster:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-dataproc-create-cluster:$TAG_NAME']
-  id:   'tagDataprocCreateClusterVersionNumber'
-  waitFor: ['pullDataprocCreateCluster']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-dataproc-create-cluster:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-dataproc-create-cluster:$COMMIT_SHA']
-  id:   'tagDataprocCreateClusterCommitSHA'
-  waitFor: ['pullDataprocCreateCluster']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['pull', 'gcr.io/$PROJECT_ID/ml-pipeline-dataproc-delete-cluster:$COMMIT_SHA']
-  id:   'pullDataprocDeleteCluster'
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-dataproc-delete-cluster:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-dataproc-delete-cluster:$TAG_NAME']
-  id:   'tagDataprocDeleteClusterVersionNumber'
-  waitFor: ['pullDataprocDeleteCluster']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-dataproc-delete-cluster:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-dataproc-delete-cluster:$COMMIT_SHA']
-  id:   'tagDataprocDeleteClusterCommitSHA'
-  waitFor: ['pullDataprocDeleteCluster']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['pull', 'gcr.io/$PROJECT_ID/ml-pipeline-dataproc-predict:$COMMIT_SHA']
-  id:   'pullDataprocPredict'
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-dataproc-predict:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-dataproc-predict:$TAG_NAME']
-  id:   'tagDataprocPredictVersionNumber'
-  waitFor: ['pullDataprocPredict']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-dataproc-predict:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-dataproc-predict:$COMMIT_SHA']
-  id:   'tagDataprocPredictCommitSHA'
-  waitFor: ['pullDataprocPredict']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['pull', 'gcr.io/$PROJECT_ID/ml-pipeline-dataproc-transform:$COMMIT_SHA']
-  id:   'pullDataprocTransform'
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-dataproc-transform:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-dataproc-transform:$TAG_NAME']
-  id:   'tagDataprocTransformVersionNumber'
-  waitFor: ['pullDataprocTransform']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-dataproc-transform:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-dataproc-transform:$COMMIT_SHA']
-  id:   'tagDataprocTransformCommitSHA'
-  waitFor: ['pullDataprocTransform']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['pull', 'gcr.io/$PROJECT_ID/ml-pipeline-dataproc-train:$COMMIT_SHA']
-  id:   'pullDataprocTrain'
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-dataproc-train:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-dataproc-train:$TAG_NAME']
-  id:   'tagDataprocTrainVersionNumber'
-  waitFor: ['pullDataprocTrain']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-dataproc-train:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-dataproc-train:$COMMIT_SHA']
-  id:   'tagDataprocTrainCommitSHA'
-  waitFor: ['pullDataprocTrain']
-
-# Pull and retag the images for the ResNet CMLE sample pipeline components
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['pull', 'gcr.io/$PROJECT_ID/resnet-deploy:$COMMIT_SHA']
-  id:   'pullResNetDeploy'
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/resnet-deploy:$COMMIT_SHA', 'gcr.io/ml-pipeline/resnet-deploy:$TAG_NAME']
-  id:   'tagResNetDeployVersionNumber'
-  waitFor: ['pullResNetDeploy']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/resnet-deploy:$COMMIT_SHA', 'gcr.io/ml-pipeline/resnet-deploy:$COMMIT_SHA']
-  id:   'tagResNetDeployCommitSHA'
-  waitFor: ['pullResNetDeploy']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['pull', 'gcr.io/$PROJECT_ID/resnet-preprocess:$COMMIT_SHA']
-  id:   'pullResNetPreprocess'
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/resnet-preprocess:$COMMIT_SHA', 'gcr.io/ml-pipeline/resnet-preprocess:$TAG_NAME']
-  id:   'tagResNetPreprocessVersionNumber'
-  waitFor: ['pullResNetPreprocess']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/resnet-preprocess:$COMMIT_SHA', 'gcr.io/ml-pipeline/resnet-preprocess:$COMMIT_SHA']
-  id:   'tagResNetPreprocessCommitSHA'
-  waitFor: ['pullResNetPreprocess']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['pull', 'gcr.io/$PROJECT_ID/resnet-train:$COMMIT_SHA']
-  id:   'pullResNetTrain'
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/resnet-train:$COMMIT_SHA', 'gcr.io/ml-pipeline/resnet-train:$TAG_NAME']
-  id:   'tagResNetTrainVersionNumber'
-  waitFor: ['pullResNetTrain']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/resnet-train:$COMMIT_SHA', 'gcr.io/ml-pipeline/resnet-train:$COMMIT_SHA']
-  id:   'tagResNetTrainCommitSHA'
-  waitFor: ['pullResNetTrain']
-
-# Pull and retag the images for the local pipeline components
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['pull', 'gcr.io/$PROJECT_ID/ml-pipeline-local-confusion-matrix:$COMMIT_SHA']
-  id:   'pullLocalConfusionMatrix'
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-local-confusion-matrix:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-local-confusion-matrix:$TAG_NAME']
-  id:   'tagLocalConfusionMatrixVersionNumber'
-  waitFor: ['pullLocalConfusionMatrix']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-local-confusion-matrix:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-local-confusion-matrix:$COMMIT_SHA']
-  id:   'tagLocalConfusionMatrixCommitSHA'
-  waitFor: ['pullLocalConfusionMatrix']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['pull', 'gcr.io/$PROJECT_ID/ml-pipeline-local-roc:$COMMIT_SHA']
-  id:   'pullLocalROC'
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-local-roc:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-local-roc:$TAG_NAME']
-  id:   'tagLocalROCVersionNumber'
-  waitFor: ['pullLocalROC']
-- name: 'gcr.io/cloud-builders/docker'
-  args: ['tag', 'gcr.io/$PROJECT_ID/ml-pipeline-local-roc:$COMMIT_SHA', 'gcr.io/ml-pipeline/ml-pipeline-local-roc:$COMMIT_SHA']
-  id:   'tagLocalROCCommitSHA'
-  waitFor: ['pullLocalROC']
-
 # Build the tagged samples
 - name: 'debian'
   entrypoint: '/bin/bash'
@@ -366,45 +143,4 @@ images:
 - 'gcr.io/ml-pipeline/bootstrapper:$TAG_NAME'
 - 'gcr.io/ml-pipeline/bootstrapper:$COMMIT_SHA'
 
-- 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tf-predict:$TAG_NAME'
-- 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tf-predict:$COMMIT_SHA'
-- 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tfdv:$TAG_NAME'
-- 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tfdv:$COMMIT_SHA'
-- 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tft:$TAG_NAME'
-- 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tft:$COMMIT_SHA'
-- 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tfma:$TAG_NAME'
-- 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tfma:$COMMIT_SHA'
-
-- 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-deployer:$TAG_NAME'
-- 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-deployer:$COMMIT_SHA'
-- 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:$TAG_NAME'
-- 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:$COMMIT_SHA'
-- 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf:$TAG_NAME'
-- 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf:$COMMIT_SHA'
-
-- 'gcr.io/ml-pipeline/ml-pipeline-dataproc-analyze:$TAG_NAME'
-- 'gcr.io/ml-pipeline/ml-pipeline-dataproc-analyze:$COMMIT_SHA'
-- 'gcr.io/ml-pipeline/ml-pipeline-dataproc-create-cluster:$TAG_NAME'
-- 'gcr.io/ml-pipeline/ml-pipeline-dataproc-create-cluster:$COMMIT_SHA'
-- 'gcr.io/ml-pipeline/ml-pipeline-dataproc-delete-cluster:$TAG_NAME'
-- 'gcr.io/ml-pipeline/ml-pipeline-dataproc-delete-cluster:$COMMIT_SHA'
-- 'gcr.io/ml-pipeline/ml-pipeline-dataproc-predict:$TAG_NAME'
-- 'gcr.io/ml-pipeline/ml-pipeline-dataproc-predict:$COMMIT_SHA'
-- 'gcr.io/ml-pipeline/ml-pipeline-dataproc-transform:$TAG_NAME'
-- 'gcr.io/ml-pipeline/ml-pipeline-dataproc-transform:$COMMIT_SHA'
-- 'gcr.io/ml-pipeline/ml-pipeline-dataproc-train:$TAG_NAME'
-- 'gcr.io/ml-pipeline/ml-pipeline-dataproc-train:$COMMIT_SHA'
-
-- 'gcr.io/ml-pipeline/resnet-deploy:$TAG_NAME'
-- 'gcr.io/ml-pipeline/resnet-deploy:$COMMIT_SHA'
-- 'gcr.io/ml-pipeline/resnet-preprocess:$TAG_NAME'
-- 'gcr.io/ml-pipeline/resnet-preprocess:$COMMIT_SHA'
-- 'gcr.io/ml-pipeline/resnet-train:$TAG_NAME'
-- 'gcr.io/ml-pipeline/resnet-train:$COMMIT_SHA'
-
-- 'gcr.io/ml-pipeline/ml-pipeline-local-confusion-matrix:$TAG_NAME'
-- 'gcr.io/ml-pipeline/ml-pipeline-local-confusion-matrix:$COMMIT_SHA'
-- 'gcr.io/ml-pipeline/ml-pipeline-local-roc:$TAG_NAME'
-- 'gcr.io/ml-pipeline/ml-pipeline-local-roc:$COMMIT_SHA'
-
 timeout: '1200s'
diff --git a/bootstrapper.yaml b/bootstrapper.yaml
@@ -65,7 +65,7 @@ spec:
     spec:
       containers:
       - name: deploy
-        image: gcr.io/ml-pipeline/bootstrapper:0.1.4 #TODO-release: update the release tag for the next release
+        image: gcr.io/ml-pipeline/bootstrapper:0.1.4
         imagePullPolicy: 'Always'
         # Additional parameter available:
         args: [

diff --git a/components/kubeflow/launcher/kubeflow_tfjob_launcher_op.py b/components/kubeflow/launcher/kubeflow_tfjob_launcher_op.py
@@ -17,7 +17,7 @@
 def kubeflow_tfjob_launcher_op(container_image, command, number_of_workers: int, number_of_parameter_servers: int, tfjob_timeout_minutes: int, output_dir=None, step_name='TFJob-launcher'):
     return dsl.ContainerOp(
         name = step_name,
-        image = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf:0.1.4',#TODO-release: update the release tag for the next release
+        image = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf:85c6413a2e13da4b8f198aeac1abc2f3a74fe789',
         arguments = [
             '--workers', number_of_workers,
             '--pss', number_of_parameter_servers,

diff --git a/components/kubeflow/launcher/src/train.template.yaml b/components/kubeflow/launcher/src/train.template.yaml
@@ -26,7 +26,7 @@ spec:
         spec:
           containers:
           - name: tensorflow
-            image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:0.1.4 #TODO-release: update the release tag for the next release
+            image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:85c6413a2e13da4b8f198aeac1abc2f3a74fe789
             command:
               - python
               - -m
@@ -38,7 +38,7 @@ spec:
         spec:
           containers:
           - name: tensorflow
-            image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:0.1.4 #TODO-release: update the release tag for the next release
+            image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:85c6413a2e13da4b8f198aeac1abc2f3a74fe789
             command:
               - python
               - -m
@@ -50,7 +50,7 @@ spec:
             spec:
               containers:
               - name: tensorflow
-                image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:0.1.4 #TODO-release: update the release tag for the next release
+                image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:85c6413a2e13da4b8f198aeac1abc2f3a74fe789
                 command:
                   - python
                   - -m

diff --git a/components/release.sh b/components/release.sh
@@ -0,0 +1,64 @@
+#!/bin/bash
+#
+# Copyright 2018 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# This script automated the process to release the component images.
+# To run it, find a good release candidate commit SHA from ml-pipeline-staging project,
+# and provide a full github COMMIT SHA to the script. E.g.
+# ./release.sh 2118baf752d3d30a8e43141165e13573b20d85b8
+# The script copies the images from staging to prod, and update the local code.
+# You can then send a PR using your local branch.
+
+set -xe
+
+images=(
+  "ml-pipeline-dataflow-tf-predict"
+  "ml-pipeline-dataflow-tfdv"
+  "ml-pipeline-dataflow-tft"
+  "ml-pipeline-dataflow-tfma"
+  "ml-pipeline-kubeflow-deployer"
+  "ml-pipeline-kubeflow-tf-trainer"
+  "ml-pipeline-kubeflow-tf"
+  "ml-pipeline-dataproc-analyze"
+  "ml-pipeline-dataproc-create-cluster"
+  "ml-pipeline-dataproc-delete-cluster"
+  "ml-pipeline-dataproc-predict"
+  "ml-pipeline-dataproc-transform"
+  "ml-pipeline-dataproc-train"
+  "resnet-deploy"
+  "resnet-preprocess"
+  "resnet-train"
+  "ml-pipeline-local-confusion-matrix"
+  "ml-pipeline-local-roc"
+)
+
+COMMIT_SHA=$1
+FROM_GCR_PREFIX='gcr.io/ml-pipeline-staging/'
+TO_GCR_PREFIX='gcr.io/ml-pipeline/'
+PARENT_PATH=$( cd "$(dirname "${BASH_SOURCE[0]}")" ; pwd -P )
+
+for image in "${images[@]}"
+do
+  TARGET_IMAGE_BASE=${TO_GCR_PREFIX}${image}
+  TARGET_IMAGE=${TARGET_IMAGE_BASE}:${COMMIT_SHA}
+
+  # Move image from staging to prod GCR
+  gcloud container images add-tag --quiet \
+  ${FROM_GCR_PREFIX}${image}:${COMMIT_SHA} ${TARGET_IMAGE}
+
+  # Update the code
+  find "${PARENT_PATH}/../samples" -type f | while read file; do sed -i -e "s|${TARGET_IMAGE_BASE}:\([a-zA-Z0-9_.-]\)\+|${TARGET_IMAGE}|g" "$file"; done
+  find "${PARENT_PATH}" -type f | while read file; do sed -i -e "s|${TARGET_IMAGE_BASE}:\([a-zA-Z0-9_.-]\)\+|${TARGET_IMAGE}|g" "$file"; done
+done