torchdistx
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support torch 2.1 dtensor
feat(dmodule): support parallelized dtensor init
feat(dtensor): support for query random op
feat(dtensor): support deferred init on device
What does this PR do? Please describe:
hello, i add some support for torch2.1 and support torch DTensor support for defer_init and marterialize
Does your PR introduce any breaking changes? If yes, please list them: List of all backwards-incompatible API changes.
Check list:
- [x] Was this discussed and approved via a GitHub issue? (not for typos or docs)
- [x] Did you read the contributor guideline?
- [x] Did you make sure that your PR does only one thing instead of bundling different changes together?
- [x] Did you make sure to update the documentation with your changes? (if necessary)
- [x] Did you write any new necessary tests?
- [x] Did you verify new and existing tests pass locally with your changes?
- [x] Did you update the CHANGELOG? (not for typos, docs, or minor internal changes)
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@cbalioglu @rohan-varma @H-Huang any of you want to give a review on this? If not I can take a snap after the tests added