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paddlepaddle--paddle/test/distribution/test_distribution_expfamily_static.py
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2026-07-13 12:40:42 +08:00

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# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import unittest
import mock_data as mock
import numpy as np
import parameterize
from distribution import config
import paddle
np.random.seed(2022)
paddle.enable_static()
@parameterize.place(config.DEVICES)
class TestExponentialFamily(unittest.TestCase):
def setUp(self):
self.program = paddle.static.Program()
self.executor = paddle.static.Executor()
with paddle.static.program_guard(self.program):
rate_np = parameterize.xrand((100, 200, 99))
rate = paddle.static.data('rate', rate_np.shape, rate_np.dtype)
self.mock_dist = mock.Exponential(rate)
self.feeds = {'rate': rate_np}
def test_entropy(self):
with paddle.static.program_guard(self.program):
[out1, out2] = self.executor.run(
self.program,
feed=self.feeds,
fetch_list=[
self.mock_dist.entropy(),
paddle.distribution.ExponentialFamily.entropy(
self.mock_dist
),
],
)
np.testing.assert_allclose(
out1,
out2,
rtol=config.RTOL.get(config.DEFAULT_DTYPE),
atol=config.ATOL.get(config.DEFAULT_DTYPE),
)
def test_entropy_exception(self):
with (
paddle.static.program_guard(self.program),
self.assertRaises(NotImplementedError),
):
paddle.distribution.ExponentialFamily.entropy(
mock.DummyExpFamily(0.5, 0.5)
)
if __name__ == '__main__':
unittest.main()