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add batching rule fortorch.Tensor.scatter_add_#150543
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add batching rule fortorch.Tensor.scatter_add_#150543
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pytorch-botbot commentedApr 2, 2025 • edited
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🔗 Helpful Links🧪 See artifacts and rendered test results athud.pytorch.org/pr/150543
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit3311987 with merge base3da14d3 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
| int64_t dim, | ||
| const Tensor& index, std::optional<int64_t> index_bdim, | ||
| const Tensor& src, std::optional<int64_t> src_bdim) { | ||
| auto self_ = self.clone(at::MemoryFormat::Preserve); |
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why do we need the clone now?
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We don't.
guilhermeleobas commentedApr 8, 2025
@pytorchbot merge -r |
pytorchmergebot commentedApr 8, 2025
@pytorchbot started a rebase job ontorefs/remotes/origin/viable/strict. Check the current statushere |
pytorchmergebot commentedApr 8, 2025
Successfully rebased |
pytorchmergebot commentedApr 8, 2025
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in thewiki. Questions? Feedback? Please reach out to thePyTorch DevX Team |
Pull Requestresolved:pytorch#150543Approved by:https://github.com/zou3519
Pull Requestresolved:pytorch#150543Approved by:https://github.com/zou3519
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torch.Tensor.scatter_add_#150543cc@zou3519@Chillee@samdow@kshitij12345