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a4545f09da
Differential Revision: D72667175 Pull Request resolved: https://github.com/pytorch/pytorch/pull/150884 Approved by: https://github.com/ydwu4
48 lines
1.1 KiB
Python
48 lines
1.1 KiB
Python
# Owner(s): ["oncall: export"]
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try:
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from . import test_unflatten, testing
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except ImportError:
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import test_unflatten # @manual=fbcode//caffe2/test:test_export-library
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import testing # @manual=fbcode//caffe2/test:test_export-library
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from torch.export import export_for_training
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test_classes = {}
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def mocked_training_ir_export(*args, **kwargs):
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return export_for_training(*args, **kwargs, strict=True)
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def make_dynamic_cls(cls):
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cls_prefix = "TrainingIRUnflatten"
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test_class = testing.make_test_cls_with_mocked_export(
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cls,
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cls_prefix,
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"_training_ir",
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mocked_training_ir_export,
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xfail_prop="_expected_failure_training_ir",
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)
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test_classes[test_class.__name__] = test_class
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# REMOVING THIS LINE WILL STOP TESTS FROM RUNNING
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globals()[test_class.__name__] = test_class
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test_class.__module__ = __name__
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tests = [
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test_unflatten.TestUnflatten,
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]
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for test in tests:
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make_dynamic_cls(test)
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del test
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if __name__ == "__main__":
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from torch._dynamo.test_case import run_tests
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run_tests()
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