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[executorch][muse] Serve MG batching on CUDA from the launcher - #24009
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Pull Request resolved: #23733 `serve_batching.py --backend cuda` launches the CUDA batching worker behind the same FastAPI app, SessionRuntime, multiplexed worker client, chat template and streaming parser as MLX. It requires `--data-path` (the AOTI weights blob) and rejects `--pos-embed-path`, since the CUDA artifact is text only; image requests fail during preparation. BATCHING_SERVING.md gains a CUDA section: export with `export_solo.py --backend cuda --use-offgraph-kv-cache`, build with `make muse-glimmer-batching-cuda`, launch, and how resident sessions, prefix snapshots and the capture lane share the exported cell pool. ghstack-source-id: 451855086 @exported-using-ghexport Differential Revision: [D124871961](https://our.internmc.facebook.com/intern/diff/D124871961/)
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/24009
Note: Links to docs will display an error until the docs builds have been completed. ⏳ No Failures, 186 PendingAs of commit eb4148c with merge base 897d28f ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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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: #23733 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/49/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/Gasoonjia/49/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/Gasoonjia/48/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/Gasoonjia/49/orig
Differential Revision: D124871961
@diff-train-skip-merge