wehub-resource-sync
48 lines
1.6 KiB
Python
48 lines
1.6 KiB
Python
# 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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import unittest
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import numpy as np
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from numpy.random import random as rand
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from op_test import get_places
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import paddle
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import paddle.base.dygraph as dg
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from paddle import tensor
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class TestComplexTraceLayer(unittest.TestCase):
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def setUp(self):
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self._dtypes = ["float32", "float64"]
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self._places = get_places()
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def test_basic_api(self):
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for dtype in self._dtypes:
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input = rand([2, 20, 2, 3]).astype(dtype) + 1j * rand(
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[2, 20, 2, 3]
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).astype(dtype)
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for place in self._places:
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with dg.guard(place):
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var_x = paddle.to_tensor(input)
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result = tensor.trace(
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var_x, offset=1, axis1=0, axis2=2
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).numpy()
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target = np.trace(input, offset=1, axis1=0, axis2=2)
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np.testing.assert_allclose(result, target, rtol=1e-05)
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if __name__ == '__main__':
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unittest.main()
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