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[executorch][muse] Serve Muse Glimmer CUDA batching on a batched-sequence cache - #24882
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…ence cache Pull Request resolved: #24075 Adds `--kv-layout {cell,sequence}` and `--max-kv-seqs` to the Muse Glimmer CUDA batching exports (solo and DFlash). `sequence` writes a `batched-sequence` manifest for target and draft and publishes `get_offgraph_kv_max_seqs` (and `get_draft_offgraph_kv_max_seqs` / `get_draft_offgraph_kv_seq_capacity` for the draft). `CudaExecutor` and the CUDA DFlash executor pick `kBatchedSequence` when the artifact declares a sequence count, `kBatchedCell` otherwise, so the served feature set matches MLX's batched-sequence path. Cell artifacts are unchanged. The layout is chosen at export; switching it at runtime on one .pte is out of scope. ghstack-source-id: 469359746 @exported-using-ghexport Differential Revision: [D125987299](https://our.internmc.facebook.com/intern/diff/D125987299/)
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/24882
Note: Links to docs will display an error until the docs builds have been completed. ❌ 2 New Failures, 1 Pending, 8 Unrelated FailuresAs of commit e1a4e11 with merge base 4eb094b ( 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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This PR was created by the merge bot to help merge the original PR into the main branch.
ghstack PR number: #24075 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/93/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/Gasoonjia/93/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/Gasoonjia/92/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/Gasoonjia/93/orig
Differential Revision: D125987299
@diff-train-skip-merge