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Paddle/python/paddle/fluid/tests/unittests/test_complex_kron.py

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2.2 KiB

# 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.complex as cpx
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)
def runTest(self):
place = fluid.CPUPlace()
self.test_identity(place)
if fluid.is_compiled_with_cuda():
place = fluid.CUDAPlace(0)
self.test_identity(place)
def test_identity(self, place):
with dg.guard(place):
x_var = dg.to_variable(self.x)
y_var = dg.to_variable(self.y)
out_var = cpx.kron(x_var, y_var)
np.testing.assert_allclose(out_var.numpy(), self.ref_result)
def load_tests(loader, standard_tests, pattern):
suite = unittest.TestSuite()
suite.addTest(
ComplexKronTestCase(
x=np.random.randn(2, 2) + 1j * np.random.randn(2, 2),
y=np.random.randn(3, 3) + 1j * np.random.randn(3, 3)))
suite.addTest(
ComplexKronTestCase(
x=np.random.randn(2, 2),
y=np.random.randn(3, 3) + 1j * np.random.randn(3, 3)))
suite.addTest(
ComplexKronTestCase(
x=np.random.randn(2, 2) + 1j * np.random.randn(2, 2),
y=np.random.randn(3, 3)))
suite.addTest(
ComplexKronTestCase(
x=np.random.randn(2, 2) + 1j * np.random.randn(2, 2),
y=np.random.randn(2, 2, 3)))
return suite
if __name__ == '__main__':
unittest.main()