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77 lines
2.8 KiB
77 lines
2.8 KiB
# Copyright (c) 2020 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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from __future__ import print_function
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import paddle
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import paddle.fluid as fluid
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import unittest
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import numpy as np
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from op_test import OpTest
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from paddle.fluid import Program, program_guard
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from paddle.fluid.layer_helper import LayerHelper
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class TestLogSumOpError(unittest.TestCase):
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def test_errors(self):
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with program_guard(Program(), Program()):
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x1 = fluid.layers.data(name='x1', shape=[120], dtype="uint8")
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self.assertRaises(Exception, paddle.logsumexp, x1)
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x2 = fluid.layers.data(name='x2', shape=[2, 3], dtype="int")
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self.assertRaises(Exception, paddle.logsumexp, x2)
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x3 = fluid.layers.data(name='x3', shape=[3], dtype="float16")
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self.assertRaises(Exception, paddle.logsumexp, x3)
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self.assertRaises(AssertionError, paddle.logsumexp, None)
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class TestLogSumExpOp(unittest.TestCase):
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def test_dygraph(self):
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with fluid.dygraph.guard():
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np_x = np.random.uniform(0.1, 1, [123]).astype(np.float32)
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x = fluid.dygraph.to_variable(np_x)
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self.assertTrue(
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np.allclose(
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paddle.logsumexp(x).numpy(), np.log(np.sum(np.exp(np_x)))))
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np_x = np.random.uniform(0.1, 1, [2, 3, 4]).astype(np.float32)
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x = fluid.dygraph.to_variable(np_x)
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self.assertTrue(
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np.allclose(
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paddle.logsumexp(
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x, dim=[1, 2]).numpy(),
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np.log(np.sum(np.exp(np_x), axis=(1, 2)))))
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np_x = np.random.uniform(0.1, 1, [2, 3, 4]).astype(np.float32)
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x = fluid.dygraph.to_variable(np_x)
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self.assertTrue(
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np.allclose(
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paddle.logsumexp(
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x, dim=[2]).numpy(),
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np.log(np.sum(np.exp(np_x), axis=(2)))))
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np_x = np.random.uniform(0.1, 1, [2, 3, 4]).astype(np.float32)
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x = fluid.dygraph.to_variable(np_x)
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self.assertTrue(
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np.allclose(
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paddle.logsumexp(
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x, keepdim=True).numpy(),
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np.log(np.sum(np.exp(np_x), keepdims=True))))
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if __name__ == '__main__':
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unittest.main()
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