examples/models/gemma4_31b: CUDA Engine/Session adapter + OpenAI serving#20207
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examples/models/gemma4_31b: CUDA Engine/Session adapter + OpenAI serving#20207mergennachin wants to merge 1 commit into
mergennachin wants to merge 1 commit into
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/20207
Note: Links to docs will display an error until the docs builds have been completed. ❌ 8 New Failures, 1 Pending, 1 Unrelated Failure, 2 Unclassified FailuresAs of commit 1a1b822 with merge base f0dff03 ( NEW FAILURES - The following jobs have failed:
UNCLASSIFIED FAILURES - DrCI could not classify the following jobs because the workflow did not run on the merge base. The failures may be pre-existing on trunk or introduced by this PR:
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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This was referenced Jun 10, 2026
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Adds the Gemma 4 31B serving path, mirroring qwen3_5_moe: a CUDA
Engine/Session adapter (chunked prefill, per-session mutable rebinding,
in-graph sampling) behind the model-agnostic LLMEngine/LLMSession
contract, a JSONL worker, and a serve.py launcher. The generic worker
loop gains an optional prompt_prefix_ids (Gemma BOS prepend) and
serving_chat a matching prompt_token_offset so the context count stays
honest. export.py emits get_mutable_buffer_metadata and prefill-chunk
bounds for multi-session.