47 lines
1.5 KiB
Python
47 lines
1.5 KiB
Python
# Copyright 2022 The Kubeflow Authors
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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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from kfp.dsl import container_component
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from kfp.dsl import ContainerSpec
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from kfp.dsl import Model
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from kfp.dsl import Output
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from kfp.dsl import OutputPath
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@container_component
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def container_with_artifact_output(
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num_epochs: int, # built-in types are parsed as inputs
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model: Output[Model],
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model_config_path: OutputPath(str),
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):
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return ContainerSpec(
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image='gcr.io/my-image',
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command=['sh', 'run.sh'],
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args=[
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'--epochs',
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num_epochs,
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'--model_path',
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model.uri,
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'--model_metadata',
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model.metadata,
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'--model_config_path',
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model_config_path,
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])
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if __name__ == '__main__':
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from kfp import compiler
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compiler.Compiler().compile(
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pipeline_func=container_with_artifact_output,
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package_path=__file__.replace('.py', '.yaml'))
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