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[executorch][muse-glimmer] Bound the CUDA prefill logits selector by the sampler rows - #24883

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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: #24107 by @Gasoonjia
^ 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/Gasoonjia/95/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/Gasoonjia/95/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/Gasoonjia/93/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/Gasoonjia/95/orig
Differential Revision: D127114350
@diff-train-skip-merge

…the sampler rows

Pull Request resolved: #24107

`forward_others` and `forward_from_embeddings` take up to `max_step_tokens`
(4096) tokens and select which rows' logits to return. The selector's dynamic
bound was also `max_step_tokens`, so memory planning sized each method's FP32
logits output at `4096 x 202048 x 4 B = 3157 MiB`, allocated at load whether or
not a request ever uses it.

A step never selects more rows than the device samplers take
(`MAX_SAMPLE_ROWS = 64`: one row per prefilling session, or `max_owners x
block` for DFlash verify), and the executor already rejects a step with more.
Bound the selector at `min(max_step_tokens, MAX_SAMPLE_ROWS)`. Each planned
logits output drops to 49 MiB; token width and the DFlash taps keep their
`max_step_tokens` bound.
ghstack-source-id: 469359754
@exported-using-ghexport

Differential Revision: [D127114350](https://our.internmc.facebook.com/intern/diff/D127114350/)
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pytorch-bot Bot commented Nov 11, 2026 •

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🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/24883

Note: Links to docs will display an error until the docs builds have been completed.

❌ 2 New Failures, 1 Pending, 9 Unrelated Failures

As of commit e1ed3af with merge base 4eb094b (image):

NEW FAILURES - The following jobs have failed:

BROKEN TRUNK - The following jobs failed but were present on the merge base:

👉 Rebase onto the `viable/strict` branch to avoid these failures

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@meta-cla meta-cla Bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Nov 11, 2026

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cadence — e1ed3afa Deployed Nov 11, 2026 by pytorchbot via hifi-op-test / hifi4 #37753
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