wehub-resource-sync
56 lines
2.0 KiB
Python
56 lines
2.0 KiB
Python
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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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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import unittest
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from paddle.distributed.auto_parallel.static.tuner import (
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trial as tr,
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tunable_space as ts,
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)
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class TestTrial(unittest.TestCase):
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def test_trial(self):
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space = ts.TunableSpace()
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space.choice("choice", [0, 1, 2, 3], default=2)
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trial = tr.Trial(space, trial_id="trial-1")
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trial.recorder.register("latency", direction="min")
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trial.recorder.update("latency", 0.1, step=0)
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trial.recorder.update("latency", 0.2, step=1)
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trial.best_step = 0
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self.assertEqual(trial.id, "trial-1")
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self.assertEqual(trial.space.get_value("choice"), 2)
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self.assertEqual(trial.best_step, 0)
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self.assertEqual(trial.status, "RUNNING")
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def test_serialization(self):
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space = ts.TunableSpace()
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space.int_range("int_range", start=1, stop=4, default=2)
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trial = tr.Trial(space, trial_id="trial-2", status="COMPLETED")
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trial.recorder.register("latency", direction="min")
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trial.recorder.update("latency", 0.1, step=0)
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trial.recorder.update("latency", 0.2, step=1)
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trial.best_step = 0
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new_trial = tr.Trial.from_state(trial.get_state())
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self.assertEqual(new_trial.id, "trial-2")
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self.assertEqual(new_trial.space.get_value("int_range"), 2)
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self.assertEqual(new_trial.best_step, 0)
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self.assertEqual(new_trial.status, "COMPLETED")
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if __name__ == "__main__":
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unittest.main()
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