forked from kubeflow/pipelines
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy path.cloudbuild.yaml
193 lines (177 loc) · 8.87 KB
/
.cloudbuild.yaml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
# 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.
steps:
# Build the Python SDK
- name: 'debian'
entrypoint: '/bin/bash'
args: ['-c', 'apt-get update -y; apt-get install --no-install-recommends -y -q default-jdk wget python python-setuptools; wget http://central.maven.org/maven2/io/swagger/swagger-codegen-cli/2.3.1/swagger-codegen-cli-2.3.1.jar -O /tmp/swagger-codegen-cli.jar;cd /workspace/sdk/python;./build.sh /workspace/kfp.tar.gz']
id: 'preparePythonSDK'
- name: 'gcr.io/cloud-builders/gsutil'
args: ['cp', '/workspace/kfp.tar.gz', 'gs://$PROJECT_ID/builds/$COMMIT_SHA/kfp.tar.gz']
id: 'copyPythonSDK'
waitFor: ['preparePythonSDK']
- name: 'gcr.io/cloud-builders/gsutil'
args: ['cp', '/workspace/kfp.tar.gz', 'gs://$PROJECT_ID/builds/latest/kfp.tar.gz']
id: 'copyPythonSDKToLatest'
waitFor: ['preparePythonSDK']
# Build the pipeline system images
- name: 'debian'
entrypoint: '/bin/bash'
args: ['-c', 'sed -i -e "s/ARG DATE/ENV DATE \"$(date -u)\"/" /workspace/frontend/Dockerfile']
id: 'prepareFrontend'
- name: 'gcr.io/cloud-builders/docker'
args: ['build', '-t', 'gcr.io/$PROJECT_ID/frontend:$COMMIT_SHA',
'--build-arg', 'COMMIT_HASH=$COMMIT_SHA', '-f',
'/workspace/frontend/Dockerfile', '/workspace']
id: 'buildFrontend'
waitFor: ['prepareFrontend']
- name: 'gcr.io/cloud-builders/docker'
args: ['build', '-t', 'gcr.io/$PROJECT_ID/api-server:$COMMIT_SHA',
'--build-arg', 'COMMIT_SHA=$COMMIT_SHA', '-f',
'/workspace/backend/Dockerfile', '/workspace']
id: 'buildApiServer'
waitFor: ['copyPythonSDK']
- name: 'gcr.io/cloud-builders/docker'
args: ['build', '-t', 'gcr.io/$PROJECT_ID/scheduledworkflow:$COMMIT_SHA', '-f',
'/workspace/backend/Dockerfile.scheduledworkflow', '/workspace']
id: 'buildScheduledWorkflow'
- name: 'gcr.io/cloud-builders/docker'
args: ['build', '-t', 'gcr.io/$PROJECT_ID/viewer-crd-controller:$COMMIT_SHA', '-f',
'/workspace/backend/Dockerfile.viewercontroller', '/workspace']
id: 'buildViewerCrdController'
- name: 'gcr.io/cloud-builders/docker'
args: ['build', '-t', 'gcr.io/$PROJECT_ID/persistenceagent:$COMMIT_SHA', '-f',
'/workspace/backend/Dockerfile.persistenceagent', '/workspace']
id: 'buildPersistenceAgent'
# Build the Dataflow-based pipeline component images
- name: 'gcr.io/cloud-builders/docker'
entrypoint: '/bin/bash'
args: ['-c', 'cd /workspace/components/dataflow/predict && ./build_image.sh -p $PROJECT_ID -t $COMMIT_SHA']
id: 'buildPredictComponent'
- name: 'gcr.io/cloud-builders/docker'
entrypoint: '/bin/bash'
args: ['-c', 'cd /workspace/components/dataflow/tfdv && ./build_image.sh -p $PROJECT_ID -t $COMMIT_SHA']
id: 'buildTFDVComponent'
- name: 'gcr.io/cloud-builders/docker'
entrypoint: '/bin/bash'
args: ['-c', 'cd /workspace/components/dataflow/tft && ./build_image.sh -p $PROJECT_ID -t $COMMIT_SHA']
id: 'buildTFTComponent'
- name: 'gcr.io/cloud-builders/docker'
entrypoint: '/bin/bash'
args: ['-c', 'cd /workspace/components/dataflow/tfma && ./build_image.sh -p $PROJECT_ID -t $COMMIT_SHA']
id: 'buildTMAComponent'
# Build the Kubeflow-based pipeline component images
- name: 'gcr.io/cloud-builders/docker'
args: ['build', '-t', 'gcr.io/$PROJECT_ID/ml-pipeline-kubeflow-deployer:$COMMIT_SHA',
'/workspace/components/kubeflow/deployer']
id: 'buildDeployer'
- name: 'gcr.io/cloud-builders/docker'
entrypoint: '/bin/bash'
args: ['-c', 'cd /workspace/components/kubeflow/launcher && ./build_image.sh -p $PROJECT_ID -t $COMMIT_SHA']
id: 'buildLauncher'
- name: 'gcr.io/cloud-builders/docker'
entrypoint: '/bin/bash'
args: ['-c', 'cd /workspace/components/kubeflow/dnntrainer && ./build_image.sh -p $PROJECT_ID -t $COMMIT_SHA -l ml-pipeline-kubeflow-tf-trainer-gpu -b 1.6.0-gpu']
id: 'buildGpuTrainer'
# Build the Dataproc-based pipeline component images
- name: 'gcr.io/cloud-builders/docker'
entrypoint: '/bin/bash'
args: ['-c', 'cd /workspace/components/dataproc/analyze && ./build_image.sh -p $PROJECT_ID -t $COMMIT_SHA']
id: 'buildDataprocAnalyze'
- name: 'gcr.io/cloud-builders/docker'
entrypoint: '/bin/bash'
args: ['-c', 'cd /workspace/components/dataproc/create_cluster && ./build_image.sh -p $PROJECT_ID -t $COMMIT_SHA']
id: 'buildDataprocCreateCluster'
- name: 'gcr.io/cloud-builders/docker'
entrypoint: '/bin/bash'
args: ['-c', 'cd /workspace/components/dataproc/delete_cluster && ./build_image.sh -p $PROJECT_ID -t $COMMIT_SHA']
id: 'buildDataprocDeleteCluster'
- name: 'gcr.io/cloud-builders/docker'
entrypoint: '/bin/bash'
args: ['-c', 'cd /workspace/components/dataproc/predict && ./build_image.sh -p $PROJECT_ID -t $COMMIT_SHA']
id: 'buildDataprocPredict'
- name: 'gcr.io/cloud-builders/docker'
entrypoint: '/bin/bash'
args: ['-c', 'cd /workspace/components/dataproc/transform && ./build_image.sh -p $PROJECT_ID -t $COMMIT_SHA']
id: 'buildDataprocTransform'
- name: 'gcr.io/cloud-builders/docker'
entrypoint: '/bin/bash'
args: ['-c', 'cd /workspace/components/dataproc/train && ./build_image.sh -p $PROJECT_ID -t $COMMIT_SHA']
id: 'buildDataprocTrain'
# Build the ResNet-CMLE sample pipeline component images
- name: 'gcr.io/cloud-builders/docker'
entrypoint: '/bin/bash'
args: ['-c', 'cd /workspace/components/resnet-cmle/containers/deploy && ./build.sh $PROJECT_ID $COMMIT_SHA']
id: 'buildResnetCMLEDeployComponent'
- name: 'gcr.io/cloud-builders/docker'
entrypoint: '/bin/bash'
args: ['-c', 'cd /workspace/components/resnet-cmle/containers/preprocess && ./build.sh $PROJECT_ID $COMMIT_SHA']
id: 'buildResnetCMLEPreprocessComponent'
- name: 'gcr.io/cloud-builders/docker'
entrypoint: '/bin/bash'
args: ['-c', 'cd /workspace/components/resnet-cmle/containers/train && ./build.sh $PROJECT_ID $COMMIT_SHA']
id: 'buildResnetCMLETrainComponent'
# Build the local pipeline component images
- name: 'gcr.io/cloud-builders/docker'
entrypoint: '/bin/bash'
args: ['-c', 'cd /workspace/components/local/confusion_matrix && ./build_image.sh -p $PROJECT_ID -t $COMMIT_SHA']
id: 'buildConfusionMatrix'
- name: 'gcr.io/cloud-builders/docker'
entrypoint: '/bin/bash'
args: ['-c', 'cd /workspace/components/local/roc && ./build_image.sh -p $PROJECT_ID -t $COMMIT_SHA']
id: 'buildROC'
# Build the tagged samples
- name: 'debian'
entrypoint: '/bin/bash'
args: ['-c', 'sed -i -e "s/gcr.io\/ml-pipeline\/\([^\/:]\+\):\([a-zA-Z0-9_.-]\)\+/gcr.io\/$PROJECT_ID\/\\1:$COMMIT_SHA/g" samples/*/*.py']
id: 'prepareVersionedSamples'
- name: 'gcr.io/cloud-builders/gsutil'
args: ['cp', '-r', '/workspace/samples/', 'gs://$PROJECT_ID/builds/$COMMIT_SHA/samples']
id: 'copyVersionedSamples'
waitFor: ['prepareVersionedSamples']
images:
# Images for the pipeline system itself
- 'gcr.io/$PROJECT_ID/frontend:$COMMIT_SHA'
- 'gcr.io/$PROJECT_ID/api-server:$COMMIT_SHA'
- 'gcr.io/$PROJECT_ID/scheduledworkflow:$COMMIT_SHA'
- 'gcr.io/$PROJECT_ID/persistenceagent:$COMMIT_SHA'
- 'gcr.io/$PROJECT_ID/viewer-crd-controller:$COMMIT_SHA'
# Images for the Dataflow-based pipeline components
- 'gcr.io/$PROJECT_ID/ml-pipeline-dataflow-tf-predict:$COMMIT_SHA'
- 'gcr.io/$PROJECT_ID/ml-pipeline-dataflow-tfdv:$COMMIT_SHA'
- 'gcr.io/$PROJECT_ID/ml-pipeline-dataflow-tft:$COMMIT_SHA'
- 'gcr.io/$PROJECT_ID/ml-pipeline-dataflow-tfma:$COMMIT_SHA'
# Images for the Kubeflow-based pipeline components
- 'gcr.io/$PROJECT_ID/ml-pipeline-kubeflow-deployer:$COMMIT_SHA'
- 'gcr.io/$PROJECT_ID/ml-pipeline-kubeflow-tf-trainer:$COMMIT_SHA'
- 'gcr.io/$PROJECT_ID/ml-pipeline-kubeflow-tf-trainer-gpu:$COMMIT_SHA'
- 'gcr.io/$PROJECT_ID/ml-pipeline-kubeflow-tf:$COMMIT_SHA'
# Images for the Dataproc-based pipeline components
- 'gcr.io/$PROJECT_ID/ml-pipeline-dataproc-analyze:$COMMIT_SHA'
- 'gcr.io/$PROJECT_ID/ml-pipeline-dataproc-create-cluster:$COMMIT_SHA'
- 'gcr.io/$PROJECT_ID/ml-pipeline-dataproc-delete-cluster:$COMMIT_SHA'
- 'gcr.io/$PROJECT_ID/ml-pipeline-dataproc-predict:$COMMIT_SHA'
- 'gcr.io/$PROJECT_ID/ml-pipeline-dataproc-transform:$COMMIT_SHA'
- 'gcr.io/$PROJECT_ID/ml-pipeline-dataproc-train:$COMMIT_SHA'
# Images for the ResNet CMLE sample pipeline components
- 'gcr.io/$PROJECT_ID/resnet-deploy:$COMMIT_SHA'
- 'gcr.io/$PROJECT_ID/resnet-preprocess:$COMMIT_SHA'
- 'gcr.io/$PROJECT_ID/resnet-train:$COMMIT_SHA'
# Images for the local components
- 'gcr.io/$PROJECT_ID/ml-pipeline-local-confusion-matrix:$COMMIT_SHA'
- 'gcr.io/$PROJECT_ID/ml-pipeline-local-roc:$COMMIT_SHA'
timeout: '3600s'
options:
diskSizeGb: 300
machineType: 'N1_HIGHCPU_8'