wehub-resource-sync
86 lines
3.0 KiB
Python
86 lines
3.0 KiB
Python
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import unittest
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import numpy as np
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import paddle
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class TestPermuteApi(unittest.TestCase):
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def test_static(self):
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paddle.enable_static()
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with paddle.static.program_guard(
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paddle.static.Program(), paddle.static.Program()
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):
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x = paddle.static.data(name='x', shape=[2, 3, 4], dtype='float32')
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# function: list / tuple / varargs
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y1 = paddle.permute(x, [1, 0, 2])
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y2 = paddle.permute(x, (2, 1, 0))
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y3 = paddle.permute(x, 1, 2, 0)
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y4 = paddle.permute(x, dims=[1, 2, 0])
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place = paddle.CPUPlace()
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exe = paddle.static.Executor(place)
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x_np = np.random.random([2, 3, 4]).astype("float32")
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out1, out2, out3, out4 = exe.run(
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feed={"x": x_np}, fetch_list=[y1, y2, y3, y4]
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)
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expected1 = np.transpose(x_np, [1, 0, 2])
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expected2 = np.transpose(x_np, (2, 1, 0))
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expected3 = np.transpose(x_np, [1, 2, 0])
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np.testing.assert_array_equal(out1, expected1)
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np.testing.assert_array_equal(out2, expected2)
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np.testing.assert_array_equal(out3, expected3)
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np.testing.assert_array_equal(out4, expected3)
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def test_dygraph(self):
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paddle.disable_static()
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x = paddle.randn([2, 3, 4])
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x_np = x.numpy()
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y1 = paddle.permute(x, [1, 0, 2])
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y2 = paddle.permute(x, (2, 1, 0))
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y3 = paddle.permute(x, 1, 2, 0)
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y4 = paddle.permute(x, dims=[1, 2, 0])
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m1 = x.permute([1, 0, 2])
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m2 = x.permute((2, 1, 0))
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m3 = x.permute(1, 2, 0)
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m4 = x.permute(dims=[1, 2, 0])
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expected1 = np.transpose(x_np, [1, 0, 2])
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expected2 = np.transpose(x_np, (2, 1, 0))
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expected3 = np.transpose(x_np, [1, 2, 0])
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np.testing.assert_array_equal(y1.numpy(), expected1)
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np.testing.assert_array_equal(y2.numpy(), expected2)
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np.testing.assert_array_equal(y3.numpy(), expected3)
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np.testing.assert_array_equal(y4.numpy(), expected3)
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np.testing.assert_array_equal(m1.numpy(), expected1)
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np.testing.assert_array_equal(m2.numpy(), expected2)
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np.testing.assert_array_equal(m3.numpy(), expected3)
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np.testing.assert_array_equal(m4.numpy(), expected3)
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paddle.enable_static()
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if __name__ == '__main__':
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unittest.main()
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