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2026-07-13 12:40:42 +08:00

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Python

# 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
from numpy.random import random as rand
from op_test import get_places
import paddle
import paddle.base.dygraph as dg
from paddle import tensor
class TestComplexSumLayer(unittest.TestCase):
def setUp(self):
self._dtypes = ["float32", "float64"]
self._places = get_places()
def test_complex_basic_api(self):
for dtype in self._dtypes:
input = rand([2, 10, 10]).astype(dtype) + 1j * rand(
[2, 10, 10]
).astype(dtype)
for place in self._places:
with dg.guard(place):
var_x = paddle.to_tensor(input)
result = tensor.sum(var_x, axis=[1, 2]).numpy()
target = np.sum(input, axis=(1, 2))
np.testing.assert_allclose(result, target, rtol=1e-05)
if __name__ == '__main__':
unittest.main()