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Reapply #11294 and #11295 (improve GLU test and implement using internal views to avoid copying) #11539

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merged 1 commit into from
Jun 11, 2025

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This PR was created by the merge bot to help merge the original PR into the main branch.
ghstack PR number: #11509 by @swolchok
^ Please use this as the source of truth for the PR details, comments, and reviews
ghstack PR base: https://github.com/pytorch/executorch/tree/gh/swolchok/451/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/swolchok/451/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/main
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/swolchok/451/orig
@diff-train-skip-merge

…nal views to avoid copying)

Pull Request resolved: #11509

These were reverted due to internal test failures. Sending this as an exported internal diff so that we can make sure we get internal signal.
Original summary for #11294 (to make the GLU test input asymmetric):
This way it will produce different results along each tested dim.

Original summaryfor #11295:

GLU requires slicing the input Tensor into two halves. Currently, we
accomplish this by copying; ExecuTorch does not support views in general
because it requires Tensors to be contiguous. However, nothing stops us
from implementing [the ATen that uses
views](https://github.com/pytorch/pytorch/blob/main/aten/src/ATen/native/GatedLinearUnit.cpp#L35)
entirely internally to the op.

To support this, I added `support_noncontiguous_tensors` as an optional
template argument to BroadcastIndexesRange and plumbed it through to the
elementwise_util functions as an optional SupportNonContiguousTensors
parameter.
ghstack-source-id: 289432903

Differential Revision: [D76311585](https://our.internmc.facebook.com/intern/diff/D76311585/)
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pytorch-bot bot commented Jun 10, 2025

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@swolchok swolchok merged commit 04710d4 into main Jun 11, 2025
96 of 97 checks passed
@swolchok swolchok deleted the gh/swolchok/451/orig branch June 11, 2025 03:26
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