71 lines
2.2 KiB
Python
71 lines
2.2 KiB
Python
# Copyright (c) 2021 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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import mock_data as mock
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import numpy as np
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import parameterize
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from distribution import config
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import paddle
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np.random.seed(2022)
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paddle.enable_static()
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@parameterize.place(config.DEVICES)
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class TestExponentialFamily(unittest.TestCase):
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def setUp(self):
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self.program = paddle.static.Program()
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self.executor = paddle.static.Executor()
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with paddle.static.program_guard(self.program):
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rate_np = parameterize.xrand((100, 200, 99))
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rate = paddle.static.data('rate', rate_np.shape, rate_np.dtype)
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self.mock_dist = mock.Exponential(rate)
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self.feeds = {'rate': rate_np}
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def test_entropy(self):
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with paddle.static.program_guard(self.program):
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[out1, out2] = self.executor.run(
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self.program,
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feed=self.feeds,
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fetch_list=[
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self.mock_dist.entropy(),
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paddle.distribution.ExponentialFamily.entropy(
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self.mock_dist
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),
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],
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)
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np.testing.assert_allclose(
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out1,
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out2,
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rtol=config.RTOL.get(config.DEFAULT_DTYPE),
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atol=config.ATOL.get(config.DEFAULT_DTYPE),
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)
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def test_entropy_exception(self):
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with (
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paddle.static.program_guard(self.program),
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self.assertRaises(NotImplementedError),
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):
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paddle.distribution.ExponentialFamily.entropy(
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mock.DummyExpFamily(0.5, 0.5)
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)
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if __name__ == '__main__':
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unittest.main()
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