wehub-resource-sync
103 lines
4.0 KiB
Python
103 lines
4.0 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 tunable_variable as tv
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class TestTunableVariable(unittest.TestCase):
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def test_fixed(self):
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fixed = tv.Fixed("fixed", True)
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fixed = tv.Fixed.from_state(fixed.get_state())
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self.assertEqual(fixed.default, True)
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self.assertEqual(fixed.random(), True)
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fixed = tv.Fixed("fixed", 1)
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fixed = tv.Fixed.from_state(fixed.get_state())
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self.assertEqual(fixed.default, 1)
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self.assertEqual(fixed.random(), 1)
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def test_boolean(self):
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boolean = tv.Boolean("bool")
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boolean = tv.Boolean.from_state(boolean.get_state())
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self.assertEqual(boolean.default, False)
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self.assertIn(boolean.random(), [True, False])
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self.assertIn(boolean.random(1234), [True, False])
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boolean = tv.Boolean("bool", True)
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boolean = tv.Boolean.from_state(boolean.get_state())
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self.assertEqual(boolean.default, True)
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self.assertIn(boolean.random(), [True, False])
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self.assertIn(boolean.random(1234), [True, False])
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def test_choice(self):
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choice = tv.Choice("choice", [1, 2, 3, 4])
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choice = tv.Choice.from_state(choice.get_state())
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self.assertEqual(choice.default, 1)
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self.assertIn(choice.random(), [1, 2, 3, 4])
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self.assertIn(choice.random(1234), [1, 2, 3, 4])
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choice = tv.Choice("choice", [1, 2, 3, 4], default=2)
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choice = tv.Choice.from_state(choice.get_state())
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self.assertEqual(choice.default, 2)
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self.assertIn(choice.random(), [1, 2, 3, 4])
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self.assertIn(choice.random(1234), [1, 2, 3, 4])
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def test_int_range(self):
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int_range = tv.IntRange("int_range", start=1, stop=4, default=2)
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int_range = tv.IntRange.from_state(int_range.get_state())
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self.assertEqual(int_range.default, 2)
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self.assertIn(int_range.random(), [1, 2, 3, 4])
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self.assertIn(int_range.random(1234), [1, 2, 3, 4])
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self.assertNotEqual(int_range.default, 4)
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int_range = tv.IntRange(
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"int_range", start=1, stop=8, step=2, default=3, endpoint=True
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)
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int_range = tv.IntRange.from_state(int_range.get_state())
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self.assertEqual(int_range.default, 3)
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self.assertIn(int_range.random(), [1, 3, 5, 7])
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self.assertIn(int_range.random(1234), [1, 3, 5, 7])
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self.assertNotEqual(int_range.default, 2)
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def test_float_range(self):
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float_range = tv.FloatRange(
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"float_range", start=0.4, stop=4.4, default=2.0
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)
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float_range = tv.FloatRange.from_state(float_range.get_state())
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self.assertEqual(float_range.default, 2.0)
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self.assertGreaterEqual(float_range.random(), 0.4)
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self.assertLess(float_range.random(1234), 4.4)
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self.assertNotAlmostEqual(float_range.random(), 1)
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self.assertNotAlmostEqual(float_range.random(), 4.4)
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float_range = tv.FloatRange(
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"float_range",
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start=0.4,
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stop=8.4,
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step=2.0,
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default=3.0,
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endpoint=True,
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)
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float_range = tv.FloatRange.from_state(float_range.get_state())
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self.assertEqual(float_range.default, 3.0)
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self.assertGreaterEqual(float_range.random(), 0.4)
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self.assertLessEqual(float_range.random(1234), 8.4)
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self.assertNotAlmostEqual(float_range.random(), 2)
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if __name__ == "__main__":
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unittest.main()
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