# 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. from paddle import fluid, tensor import paddle import paddle.fluid.dygraph as dg import numpy as np import unittest class ComplexKronTestCase(unittest.TestCase): def __init__(self, methodName='runTest', x=None, y=None): super(ComplexKronTestCase, self).__init__(methodName) self.x = x self.y = y def setUp(self): self.ref_result = np.kron(self.x, self.y) self._places = [paddle.CPUPlace()] if fluid.is_compiled_with_cuda(): self._places.append(paddle.CUDAPlace(0)) def runTest(self): for place in self._places: self.test_kron_api(place) def test_kron_api(self, place): with dg.guard(place): x_var = dg.to_variable(self.x) y_var = dg.to_variable(self.y) out_var = paddle.kron(x_var, y_var) self.assertTrue(np.allclose(out_var.numpy(), self.ref_result)) def load_tests(loader, standard_tests, pattern): suite = unittest.TestSuite() for dtype in ["float32", "float64"]: suite.addTest( ComplexKronTestCase( x=np.random.randn(2, 2).astype(dtype) + 1j * np.random.randn( 2, 2).astype(dtype), y=np.random.randn(3, 3).astype(dtype) + 1j * np.random.randn( 3, 3).astype(dtype))) suite.addTest( ComplexKronTestCase( x=np.random.randn(2, 2).astype(dtype), y=np.random.randn(3, 3).astype(dtype) + 1j * np.random.randn( 3, 3).astype(dtype))) suite.addTest( ComplexKronTestCase( x=np.random.randn(2, 2).astype(dtype) + 1j * np.random.randn( 2, 2).astype(dtype), y=np.random.randn(3, 3).astype(dtype))) suite.addTest( ComplexKronTestCase( x=np.random.randn(2, 2).astype(dtype) + 1j * np.random.randn( 2, 2).astype(dtype), y=np.random.randn(2, 2, 3).astype(dtype))) return suite if __name__ == '__main__': unittest.main()