pipelines/test/frontend-integration-test/tensorboard-example.yaml

52 lines
1.6 KiB
YAML

# 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.
apiVersion: argoproj.io/v1alpha1
kind: Workflow
metadata:
generateName: tensorboard-example-
spec:
entrypoint: tensorboard-example
serviceAccountName: pipeline-runner
templates:
- name: tensorboard-example
script:
image: python:alpine3.6
command: [python]
source: |
import json
metadata = {
'outputs' : [{
'type': 'tensorboard',
'source': 'gs://ml-pipeline-dataset/tensorboard-train',
}]
}
with open('/mlpipeline-ui-metadata.json', 'w') as f:
json.dump(metadata, f)
outputs:
artifacts:
- name: mlpipeline-ui-metadata
path: /mlpipeline-ui-metadata.json
s3:
accessKeySecret:
key: accesskey
name: mlpipeline-minio-artifact
bucket: mlpipeline
endpoint: minio-service.kubeflow:9000
insecure: true
key: runs/{{workflow.uid}}/{{pod.name}}/mlpipeline-ui-metadata.tgz
secretKeySecret:
key: secretkey
name: mlpipeline-minio-artifact