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Workaround for super() calls in test_torchinductor_dynamic_shapes (#118586)
Info about super in dynamic classes: https://stackoverflow.com/questions/71879642/how-to-pass-function-with-super-when-creating-class-dynamically https://stackoverflow.com/questions/43782944/super-does-not-work-together-with-type-supertype-obj-obj-must-be-an-i Calling super(TestCase) actually calls TestCase's parent's functions, bypassing TestCase itself's functions Mainly doing this because it's making disable bot spam Test: checked locally and check that https://github.com/pytorch/pytorch/issues/117954 actually got skipped Pull Request resolved: https://github.com/pytorch/pytorch/pull/118586 Approved by: https://github.com/huydhn
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@ -23,7 +23,7 @@ from torch.testing._internal.common_utils import (
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parametrize,
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parametrize,
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TEST_WITH_ASAN,
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TEST_WITH_ASAN,
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TEST_WITH_ROCM,
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TEST_WITH_ROCM,
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TestCase,
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TestCaseBase as TestCase,
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)
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)
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from torch.testing._internal.inductor_utils import GPU_TYPE, HAS_CPU, HAS_GPU
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from torch.testing._internal.inductor_utils import GPU_TYPE, HAS_CPU, HAS_GPU
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@ -3910,6 +3910,14 @@ This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0"""
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return stderr.decode('ascii')
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return stderr.decode('ascii')
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class TestCaseBase(TestCase):
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# Calls to super() in dynamically created classes are a bit odd.
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# See https://github.com/pytorch/pytorch/pull/118586 for more info
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# Subclassing this class and then calling super(TestCaseBase) will run
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# TestCase's setUp, tearDown etc functions
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pass
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def download_file(url, binary=True):
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def download_file(url, binary=True):
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from urllib.parse import urlsplit
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from urllib.parse import urlsplit
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from urllib import request, error
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from urllib import request, error
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