# Copyright (c) 2025 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 paddle from paddle.compat import allclose class TestCompatAllclose(unittest.TestCase): def setUp(self): self.places = [paddle.CPUPlace()] if paddle.is_compiled_with_cuda(): self.places.append(paddle.CUDAPlace(0)) def test_allclose_return_bool(self): """Test compat.allclose returns python bool""" for place in self.places: with self.subTest(place=place): x = paddle.to_tensor([10000.0, 1e-07]) y = paddle.to_tensor([10000.1, 1e-08]) # Test return type res = allclose(x, y) self.assertIsInstance(res, bool) self.assertFalse(res) # Test True case x2 = paddle.to_tensor([1.0, 2.0]) y2 = paddle.to_tensor([1.0, 2.0]) res2 = allclose(x2, y2) self.assertIsInstance(res2, bool) self.assertTrue(res2) def test_allclose_args(self): """Test compat.allclose arguments""" for place in self.places: with self.subTest(place=place): x = paddle.to_tensor([1.0, float('nan')]) y = paddle.to_tensor([1.0, float('nan')]) # Test equal_nan res = allclose(input=x, other=y, equal_nan=True) self.assertTrue(res) res = allclose(x, y, equal_nan=False) self.assertFalse(res) if __name__ == "__main__": unittest.main()