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See https://github.com/pytorch/pytorch/pull/129751#issue-2380881501. Most changes are auto-generated by linter. You can review these PRs via: ```bash git diff --ignore-all-space --ignore-blank-lines HEAD~1 ``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/129760 Approved by: https://github.com/ezyang
50 lines
1.8 KiB
Python
50 lines
1.8 KiB
Python
# Owner(s): ["oncall: export"]
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from collections import OrderedDict
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import torch
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from torch._dynamo.test_case import TestCase
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from torch.export._tree_utils import is_equivalent, reorder_kwargs
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from torch.testing._internal.common_utils import run_tests
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from torch.utils._pytree import tree_structure
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class TestTreeUtils(TestCase):
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def test_reorder_kwargs(self):
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original_kwargs = {"a": torch.tensor(0), "b": torch.tensor(1)}
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user_kwargs = {"b": torch.tensor(2), "a": torch.tensor(3)}
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orig_spec = tree_structure(((), original_kwargs))
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reordered_kwargs = reorder_kwargs(user_kwargs, orig_spec)
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# Key ordering should be the same
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self.assertEqual(reordered_kwargs.popitem()[0], original_kwargs.popitem()[0]),
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self.assertEqual(reordered_kwargs.popitem()[0], original_kwargs.popitem()[0]),
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def test_equivalence_check(self):
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tree1 = {"a": torch.tensor(0), "b": torch.tensor(1), "c": None}
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tree2 = OrderedDict(a=torch.tensor(0), b=torch.tensor(1), c=None)
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spec1 = tree_structure(tree1)
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spec2 = tree_structure(tree2)
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def dict_ordered_dict_eq(type1, context1, type2, context2):
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if type1 is None or type2 is None:
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return type1 is type2 and context1 == context2
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if issubclass(type1, (dict, OrderedDict)) and issubclass(
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type2, (dict, OrderedDict)
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):
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return context1 == context2
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return type1 is type2 and context1 == context2
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self.assertTrue(is_equivalent(spec1, spec2, dict_ordered_dict_eq))
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# Wrong ordering should still fail
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tree3 = OrderedDict(b=torch.tensor(1), a=torch.tensor(0))
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spec3 = tree_structure(tree3)
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self.assertFalse(is_equivalent(spec1, spec3, dict_ordered_dict_eq))
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if __name__ == "__main__":
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run_tests()
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