mirror of https://github.com/kubeflow/examples.git
64 lines
1.8 KiB
YAML
64 lines
1.8 KiB
YAML
# Copyright 2019 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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name: Train T2T model
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description: |
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A Kubeflow Pipeline component to train a Tensor2Tensor
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model
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metadata:
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labels:
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add-pod-env: 'true'
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inputs:
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- name: train_steps
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description: '...'
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type: Integer
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default: 2019300
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- name: data_dir
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description: '...'
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type: GCSPath
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- name: model_dir
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description: '...'
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type: GCSPath
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- name: action
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description: '...'
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type: String
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- name: deploy_webapp
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description: '...'
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type: String
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outputs:
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- name: launch_server
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description: '...'
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type: String
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- name: train_output_path
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description: '...'
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type: GCSPath
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- name: MLPipeline UI metadata
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type: UI metadata
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implementation:
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container:
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image: gcr.io/google-samples/ml-pipeline-t2ttrain:v3ap
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args: [
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--data-dir, {inputValue: data_dir},
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--action, {inputValue: action},
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--model-dir, {inputValue: model_dir},
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--train-steps, {inputValue: train_steps},
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--deploy-webapp, {inputValue: deploy_webapp},
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--train-output-path, {outputPath: train_output_path}
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]
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env:
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KFP_POD_NAME: "{{pod.name}}"
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fileOutputs:
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launch_server: /tmp/output
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MLPipeline UI metadata: /mlpipeline-ui-metadata.json
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