# Copyright (c) 2020 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 numpy as np import paddle import paddle.fluid.dygraph as dg import paddle.fluid.core as core from paddle.fluid.framework import convert_np_dtype_to_dtype_ from paddle.fluid.data_feeder import convert_dtype class TestComplexVariable(unittest.TestCase): def compare(self): a = np.array([[1.0 + 1.0j, 2.0 + 1.0j], [3.0 + 1.0j, 4.0 + 1.0j]]).astype(self._dtype) b = np.array([[1.0 + 1.0j, 1.0 + 1.0j]]).astype(self._dtype) with dg.guard(): x = dg.to_variable(a, "x") y = dg.to_variable(b) out = paddle.complex.elementwise_add(x, y) self.assertIsNotNone("{}".format(out)) self.assertTrue(np.allclose(out.numpy(), a + b)) self.assertEqual(x.name, {'real': 'x.real', 'imag': 'x.imag'}) x.name = "new_x" self.assertEqual(x.name, {'real': 'new_x.real', 'imag': 'new_x.imag'}) self.assertEqual(out.dtype, self._dtype) self.assertEqual(out.shape, x.shape) def test_attrs(self): self._dtype = "complex64" self.compare() self._dtype = "complex128" self.compare() def test_convert_np_dtype_to_dtype(self): self.assertEqual( convert_np_dtype_to_dtype_(np.complex64), core.VarDesc.VarType.COMPLEX64) self.assertEqual( convert_np_dtype_to_dtype_(np.complex64), core.VarDesc.VarType.COMPLEX64) def test_convert_dtype(self): self.assertEqual( convert_dtype(core.VarDesc.VarType.COMPLEX64), "complex64") self.assertEqual( convert_dtype(core.VarDesc.VarType.COMPLEX128), "complex128") if __name__ == '__main__': unittest.main()