wehub-resource-sync
90 lines
3.3 KiB
Python
90 lines
3.3 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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from op_test import get_device_place, is_custom_device
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from utils import dygraph_guard, static_guard
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import paddle
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class TestswapdimsCompatibility(unittest.TestCase):
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def setUp(self):
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self.places = [paddle.CPUPlace()]
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if paddle.base.core.is_compiled_with_cuda() or is_custom_device():
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self.places.append(get_device_place())
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self.func = paddle.swapdims
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self.init_data()
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def init_data(self):
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self.shape = [4, 5, 6]
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self.dtype = 'float32'
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self.dim0 = 0
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self.dim1 = 1
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self.perm = [1, 0, 2]
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self.np_input = np.random.rand(*self.shape).astype(self.dtype)
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self.np_out = np.transpose(self.np_input, axes=self.perm)
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def test_dygraph_compatibility(self):
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with dygraph_guard():
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for place in self.places:
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paddle.device.set_device(place)
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x = paddle.to_tensor(self.np_input)
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outs = []
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outs.append(paddle.swapdims(x, self.dim0, self.dim1))
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outs.append(
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paddle.swapdims(input=x, dim0=self.dim0, dim1=self.dim1)
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)
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outs.append(x.swapdims(self.dim0, self.dim1))
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outs.append(x.swapdims(dim0=self.dim0, dim1=self.dim1))
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outs.append(x.swapdims(self.dim0, dim1=self.dim1))
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for out in outs:
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np.testing.assert_array_equal(self.np_out, out.numpy())
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def test_static_compatibility(self):
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with static_guard():
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for place in self.places:
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main = paddle.static.Program()
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startup = paddle.static.Program()
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with paddle.base.program_guard(main, startup):
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x = paddle.static.data(
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name="x", shape=self.shape, dtype=self.dtype
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)
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outs = []
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outs.append(paddle.swapdims(x, self.dim0, self.dim1))
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outs.append(
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paddle.swapdims(input=x, dim0=self.dim0, dim1=self.dim1)
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)
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outs.append(x.swapdims(self.dim0, self.dim1))
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outs.append(x.swapdims(dim0=self.dim0, dim1=self.dim1))
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outs.append(x.swapdims(self.dim0, dim1=self.dim1))
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exe = paddle.base.Executor(place)
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fetches = exe.run(
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main,
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feed={"x": self.np_input},
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fetch_list=outs,
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)
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for out in fetches:
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np.testing.assert_array_equal(self.np_out, out)
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if __name__ == "__main__":
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unittest.main()
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