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63 lines
2.2 KiB
63 lines
2.2 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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import unittest
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import numpy as np
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import paddle
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import paddle.fluid.dygraph as dg
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import paddle.fluid.core as core
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from paddle.fluid.framework import convert_np_dtype_to_dtype_
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from paddle.fluid.data_feeder import convert_dtype
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class TestComplexVariable(unittest.TestCase):
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def compare(self):
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a = np.array([[1.0 + 1.0j, 2.0 + 1.0j],
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[3.0 + 1.0j, 4.0 + 1.0j]]).astype(self._dtype)
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b = np.array([[1.0 + 1.0j, 1.0 + 1.0j]]).astype(self._dtype)
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with dg.guard():
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x = dg.to_variable(a, "x")
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y = dg.to_variable(b)
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out = paddle.fluid.layers.elementwise_add(x, y)
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self.assertIsNotNone("{}".format(out))
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self.assertTrue(np.allclose(out.numpy(), a + b))
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self.assertEqual(out.dtype, convert_np_dtype_to_dtype_(self._dtype))
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self.assertEqual(out.shape, x.shape)
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def test_attrs(self):
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self._dtype = "complex64"
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self.compare()
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self._dtype = "complex128"
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self.compare()
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def test_convert_np_dtype_to_dtype(self):
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self.assertEqual(
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convert_np_dtype_to_dtype_(np.complex64),
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core.VarDesc.VarType.COMPLEX64)
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self.assertEqual(
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convert_np_dtype_to_dtype_(np.complex64),
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core.VarDesc.VarType.COMPLEX64)
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def test_convert_dtype(self):
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self.assertEqual(
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convert_dtype(core.VarDesc.VarType.COMPLEX64), "complex64")
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self.assertEqual(
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convert_dtype(core.VarDesc.VarType.COMPLEX128), "complex128")
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if __name__ == '__main__':
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unittest.main()
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