wehub-resource-sync
63 lines
2.1 KiB
Python
63 lines
2.1 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 paddle
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from paddle.compat import allclose
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class TestCompatAllclose(unittest.TestCase):
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def setUp(self):
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self.places = [paddle.CPUPlace()]
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if paddle.is_compiled_with_cuda():
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self.places.append(paddle.CUDAPlace(0))
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def test_allclose_return_bool(self):
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"""Test compat.allclose returns python bool"""
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for place in self.places:
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with self.subTest(place=place):
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x = paddle.to_tensor([10000.0, 1e-07])
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y = paddle.to_tensor([10000.1, 1e-08])
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# Test return type
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res = allclose(x, y)
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self.assertIsInstance(res, bool)
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self.assertFalse(res)
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# Test True case
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x2 = paddle.to_tensor([1.0, 2.0])
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y2 = paddle.to_tensor([1.0, 2.0])
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res2 = allclose(x2, y2)
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self.assertIsInstance(res2, bool)
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self.assertTrue(res2)
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def test_allclose_args(self):
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"""Test compat.allclose arguments"""
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for place in self.places:
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with self.subTest(place=place):
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x = paddle.to_tensor([1.0, float('nan')])
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y = paddle.to_tensor([1.0, float('nan')])
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# Test equal_nan
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res = allclose(input=x, other=y, equal_nan=True)
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self.assertTrue(res)
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res = allclose(x, y, equal_nan=False)
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self.assertFalse(res)
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if __name__ == "__main__":
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unittest.main()
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