已合并
test: add test cases for torch.set_warn_always.The current test cases for torch.set_warn_always fail to cover all essential scenarios and must be completed. #43575
创建于 20 天前
test: add test cases for torch.set_warn_always.The current test cases for torch.set_warn_always fail to cover all essential scenarios and must be completed. #43575
已合并
从已删除 :test_set_warn_always_v2.7.1合入到Ascend/pytorchv2.7.1
共 1 个文件变更+114-0
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| 1 | +# Copyright (c) 2026 Huawei Technologies Co., Ltd | ||
| 2 | +# All rights reserved. | ||
| 3 | +# | ||
| 4 | +# Licensed under the BSD 3-Clause License (the "License"); | ||
| 5 | +# you may not use this file except in compliance with the License. | ||
| 6 | +# You may obtain a copy of the License at | ||
| 7 | +# | ||
| 8 | +# https://opensource.org/licenses/BSD-3-Clause | ||
| 9 | +# | ||
| 10 | +# Unless required by applicable law or agreed to in writing, software | ||
| 11 | +# distributed under the License is distributed on an "AS IS" BASIS, | ||
| 12 | +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| 13 | +# See the License for the specific language governing permissions and | ||
| 14 | +# limitations under the License. | ||
| 15 | + | ||
| 16 | +""" | ||
| 17 | +Add validation cases for torch.set_warn_always on NPU: | ||
| 18 | +1. PyTorch community lacks complete and direct validation for this API. | ||
| 19 | +2. This file validates state switching, warning behavior, and invalid inputs (extendable). | ||
| 20 | +""" | ||
| 21 | + | ||
| 22 | +import subprocess | ||
| 23 | +import sys | ||
| 24 | +import textwrap | ||
| 25 | +import warnings | ||
| 26 | + | ||
| 27 | +import numpy as np | ||
| 28 | +import torch | ||
| 29 | +from torch.testing._internal.common_utils import TestCase, run_tests | ||
| 30 | + | ||
| 31 | + | ||
| 32 | +class TestSetWarnAlways(TestCase): | ||
| 33 | + | ||
| 34 | + def setUp(self): | ||
| 35 | + super().setUp() | ||
| 36 | + self.original_state = torch.is_warn_always_enabled() | ||
| 37 | + self.addCleanup(torch.set_warn_always, self.original_state) | ||
| 38 | + | ||
| 39 | + def test_state_switching_and_return_value(self): | ||
| 40 | + result = torch.set_warn_always(True) | ||
| 41 | + self.assertIsNone(result) | ||
| 42 | + self.assertTrue(torch.is_warn_always_enabled()) | ||
| 43 | + | ||
| 44 | + result = torch.set_warn_always(False) | ||
| 45 | + self.assertIsNone(result) | ||
| 46 | + self.assertFalse(torch.is_warn_always_enabled()) | ||
| 47 | + | ||
| 48 | + def test_warn_always_emits_repeated_warnings(self): | ||
| 49 | + array = np.arange(10) | ||
| 50 | + array.flags.writeable = False | ||
| 51 | + message = "not writable" | ||
| 52 | + torch.set_warn_always(True) | ||
| 53 | + | ||
| 54 | + with warnings.catch_warnings(record=True) as records: | ||
| 55 | + warnings.simplefilter("always") | ||
| 56 | + # NumPy conversion is CPU-only and provides a stable TORCH_WARN_ONCE source. | ||
| 57 | + torch.from_numpy(array) | ||
| 58 | + torch.from_numpy(array) | ||
| 59 | + | ||
| 60 | + matched = [record for record in records if message in str(record.message)] | ||
| 61 | + self.assertEqual(len(matched), 2) | ||
| 62 | + torch.set_warn_always(False) | ||
| 63 | + | ||
| 64 | + def test_warn_once_behavior_when_disabled(self): | ||
| 65 | + code = textwrap.dedent( | ||
| 66 | + """ | ||
| 67 | + import warnings | ||
| 68 | + | ||
| 69 | + import numpy as np | ||
| 70 | + import torch | ||
| 71 | + | ||
| 72 | + array = np.arange(10) | ||
| 73 | + array.flags.writeable = False | ||
| 74 | + torch.set_warn_always(False) | ||
| 75 | + with warnings.catch_warnings(record=True) as records: | ||
| 76 | + warnings.simplefilter("always") | ||
| 77 | + # NumPy conversion is CPU-only and provides a stable TORCH_WARN_ONCE source. | ||
| 78 | + torch.from_numpy(array) | ||
| 79 | + torch.from_numpy(array) | ||
| 80 | + | ||
| 81 | + message = "not writable" | ||
| 82 | + matched = [record for record in records if message in str(record.message)] | ||
| 83 | + raise SystemExit(0 if len(matched) == 1 else 1) | ||
| 84 | + """ | ||
| 85 | + ) | ||
| 86 | + process = subprocess.run( | ||
| 87 | + [sys.executable, "-c", code], | ||
| 88 | + capture_output=True, | ||
| 89 | + check=False, | ||
| 90 | + text=True, | ||
| 91 | + ) | ||
| 92 | + | ||
| 93 | + self.assertEqual(process.returncode, 0, process.stderr) | ||
| 94 | + | ||
| 95 | + def test_invalid_inputs_preserve_state(self): | ||
| 96 | + torch.set_warn_always(True) | ||
| 97 | + | ||
| 98 | + for value in (1, 0, None, "true", object()): | ||
| 99 | + with self.subTest(value=value): | ||
| 100 | + with self.assertRaises((RuntimeError, TypeError)): | ||
| 101 | + torch.set_warn_always(value) | ||
| 102 | + self.assertTrue(torch.is_warn_always_enabled()) | ||
| 103 | + | ||
| 104 | + with self.assertRaises(TypeError): | ||
| 105 | + torch.set_warn_always(b=False) | ||
| 106 | + with self.assertRaises(TypeError): | ||
| 107 | + torch.set_warn_always() | ||
| 108 | + with self.assertRaises(TypeError): | ||
| 109 | + torch.set_warn_always(True, False) | ||
| 110 | + self.assertTrue(torch.is_warn_always_enabled()) | ||
| 111 | + | ||
| 112 | + | ||
| 113 | +if __name__ == "__main__": | ||
| 114 | + run_tests() | ||