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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 op_test import get_places
import paddle
import paddle.base.dygraph as dg
class TestComplexTransposeLayer(unittest.TestCase):
def setUp(self):
self._dtypes = ["float32", "float64"]
self._places = get_places()
def test_transpose_by_complex_api(self):
for dtype in self._dtypes:
data = np.random.random((2, 3, 4, 5)).astype(
dtype
) + 1j * np.random.random((2, 3, 4, 5)).astype(dtype)
perm = [3, 2, 0, 1]
np_trans = np.transpose(data, perm)
for place in self._places:
with dg.guard(place):
var = paddle.to_tensor(data)
trans = paddle.transpose(var, perm=perm)
np.testing.assert_allclose(trans.numpy(), np_trans, rtol=1e-05)
if __name__ == '__main__':
unittest.main()