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Add parallel chunked prefill for channelwise gated delta rule (#21061)#21061

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Add parallel chunked prefill for channelwise gated delta rule (#21061)#21061
JakeStevens wants to merge 1 commit into
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JakeStevens:export-D112597348

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@JakeStevens JakeStevens commented Jul 21, 2026

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Summary:

Route the channelwise gated delta rule by sequence length: T == 1 keeps the two-pass token recurrence for autoregressive decode, while T != 1 uses a chunkwise WY/UT formulation for prefill.

The chunked path computes per-channel log-decay prefixes, causal query/key terms, the beta-folded triangular transform, WY pseudo-keys and pseudo-values, and inter-chunk state carry. It handles a ragged final chunk without a separate tail implementation.

Parallelize independent (batch, head) work across the ExecuTorch threadpool. Each worker receives a disjoint slice of one temporary scratch arena, avoiding shared mutable buffers while amortizing allocation across chunks.

Reviewed By: billmguo

Differential Revision: D112597348

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pytorch-bot Bot commented Jul 21, 2026

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🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/21061

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

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❌ 2 New Failures, 1 Unrelated Failure

As of commit 85d15b3 with merge base 667c91b (image):

NEW FAILURES - The following jobs have failed:

BROKEN TRUNK - The following job 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 Jul 21, 2026
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@JakeStevens has exported this pull request. If you are a Meta employee, you can view the originating Diff in D112597348.

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This PR needs a release notes: label

If your change should be included in the release notes (i.e. would users of this library care about this change?), please use a label starting with release notes:. This helps us keep track and include your important work in the next release notes.

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…h#21061)

Summary:

Route the channelwise gated delta rule by sequence length: T == 1 keeps the two-pass token recurrence for autoregressive decode, while T != 1 uses a chunkwise WY/UT formulation for prefill.

The chunked path computes per-channel log-decay prefixes, causal query/key terms, the beta-folded triangular transform, WY pseudo-keys and pseudo-values, and inter-chunk state carry. It handles a ragged final chunk without a separate tail implementation.

Parallelize independent (batch, head) work across the ExecuTorch threadpool. Each worker receives a disjoint slice of one temporary scratch arena, avoiding shared mutable buffers while amortizing allocation across chunks.

Reviewed By: billmguo

Differential Revision: D112597348
@meta-codesync meta-codesync Bot changed the title Add parallel chunked prefill for channelwise gated delta rule Add parallel chunked prefill for channelwise gated delta rule (#21061) Jul 21, 2026
JakeStevens added a commit to JakeStevens/executorch that referenced this pull request Jul 21, 2026
…h#21061)

Summary:

Route the channelwise gated delta rule by sequence length: T == 1 keeps the two-pass token recurrence for autoregressive decode, while T != 1 uses a chunkwise WY/UT formulation for prefill.

The chunked path computes per-channel log-decay prefixes, causal query/key terms, the beta-folded triangular transform, WY pseudo-keys and pseudo-values, and inter-chunk state carry. It handles a ragged final chunk without a separate tail implementation.

Parallelize independent (batch, head) work across the ExecuTorch threadpool. Each worker receives a disjoint slice of one temporary scratch arena, avoiding shared mutable buffers while amortizing allocation across chunks.

Reviewed By: billmguo

Differential Revision: D112597348
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