58 lines
1.8 KiB
Python
58 lines
1.8 KiB
Python
# Copyright 2020 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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"""Tests for kfp.dsl.container_op."""
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import unittest
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from kfp.deprecated.dsl import _container_op
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from kfp.pipeline_spec import pipeline_spec_pb2
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from google.protobuf import text_format
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from google.protobuf import json_format
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_EXPECTED_CONTAINER_WITH_RESOURCE = """
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resources {
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cpu_limit: 1.0
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memory_limit: 1.0
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accelerator {
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type: 'NVIDIA_TESLA_K80'
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count: 1
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}
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}
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"""
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# Shorthand for PipelineContainerSpec
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_PipelineContainerSpec = pipeline_spec_pb2.PipelineDeploymentConfig.PipelineContainerSpec
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class ContainerOpTest(unittest.TestCase):
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def test_chained_call_resource_setter(self):
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task = _container_op.ContainerOp(name='test_task', image='python:3.7')
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task.container_spec = _PipelineContainerSpec()
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(task.set_cpu_limit('1').set_memory_limit(
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'1G').add_node_selector_constraint(
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'cloud.google.com/gke-accelerator',
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'nvidia-tesla-k80').set_gpu_limit(1))
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expected_container_spec = text_format.Parse(
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_EXPECTED_CONTAINER_WITH_RESOURCE, _PipelineContainerSpec())
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self.assertDictEqual(
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json_format.MessageToDict(task.container_spec),
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json_format.MessageToDict(expected_container_spec))
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if __name__ == '__main__':
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unittest.main()
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