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chunk_size should always be int64_t for Foreach functors #156872
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[ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/156872
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (1 Unrelated Failure)As of commit 4414075 with merge base 070aa59 ( UNSTABLE - The following job is marked as unstable, possibly due to flakiness on trunk:
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I'm not sure if all foreach functors strictly require this, but probably it doesn't hurt. |
See #156261 (comment) Testing is a valid q--it is pretty expensive to test such large tensors for all these ops. [ghstack-poisoned]
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I see you're not changing any caller into these operators? Does that mean that we used to have a warning somewhere that we were narrowing the argument we ignored?
See #156261 (comment) Testing is a valid q--it is pretty expensive to test such large tensors for all these ops. [ghstack-poisoned]
We don't have a warning, but these functors are called here, where kChunkSize is an int64_t: https://github.com/pytorch/pytorch/blob/main/aten/src/ATen/native/cuda/MultiTensorApply.cuh#L106 |
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@pytorchbot merge |
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
aspired by #156872 Pull Request resolved: #165971 Approved by: https://github.com/albanD
aspired by pytorch#156872 Pull Request resolved: pytorch#165971 Approved by: https://github.com/albanD
See #156261 (comment)
Testing is a valid q--it is pretty expensive to test such large tensors for all these ops.
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