[DTensor][2/N][forward fix] extend util function normalize_to_torch_size to accept single int size #113244
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…ize to accept single int size [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/113244
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XilunWu
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…ize to accept single int size ghstack-source-id: 68c8b9a884419cbc948c918b74c25c2c26b8bac2 Pull Request resolved: #113244
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Skylion007
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…ize to accept single int size (pytorch#113244) **Summary**: In pytorch#113105 I used the util function `normalize_to_torch_size` to unify the `size` argument that may be in multiple formats. However the use of that function would only handle input of `Sequence[int]` therefore I submit this forward fix to have `normalize_to_torch_size` also able to handle the size argument of type `int` and `torch.Size`. A side product of this fix is it also enables 3 dtensor op tests (check `test_dtensor_ops.py`). **Test**: `pytest test/distributed/_tensor/test_dtensor_ops.py` Pull Request resolved: pytorch#113244 Approved by: https://github.com/wanchaol ghstack dependencies: pytorch#113105
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Stack from ghstack (oldest at bottom):
Summary:
In #113105 I used the util function
normalize_to_torch_sizeto unify thesizeargument that may be in multiple formats. However the use of that function would only handle input ofSequence[int]therefore I submit this forward fix to havenormalize_to_torch_sizealso able to handle the size argument of typeintandtorch.Size. A side product of this fix is it also enables 3 dtensor op tests (checktest_dtensor_ops.py).Test:
pytest test/distributed/_tensor/test_dtensor_ops.pycc @wanchaol