fix(metrics): Accurately track emitted tokens for speculative decoding - #56195
Ravindranath-Porandla wants to merge 1 commit into
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This PR resolves issue vllm-project#56101 where the speculative decoding mean_acceptance_length overestimated emitted tokens when decoding was truncated early due to EOS or max token length limits. The previous calculation relied on 1 + (num_accepted_tokens / num_drafts) for calculating the observed step length. This update instead extracts num_emitted directly from the length of new_token_ids in scheduler.py after the request updates and passes it downstream to metric observations. SpecDecodingStats now tracks num_emitted_tokens in addition to draft and accepted tokens natively. Signed-off-by: Ravindranath-Porandla <ravidranathporandla@gmail.com> Co-authored-by: Claude Code <noreply@anthropic.com>
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Reading this against On this branch the caller passes the already-adjusted count: spec_observe_args = (adj_draft_tokens, num_accepted)
...
spec_decoding_stats = self.make_spec_decoding_stats(
spec_decoding_stats,
num_draft_tokens=spec_observe_args[0],
...
)and the guard now tests that adjusted value: def make_spec_decoding_stats(self, spec_decoding_stats, num_draft_tokens, ...):
if not self.log_stats or not num_draft_tokens:
return None
On if not self.log_stats or not num_draft_tokens: # raw len(), >= 1 whenever this branch runs
return None
...
if num_invalid_spec_tokens:
num_draft_tokens -= num_invalid_spec_tokens.get(request_id, 0)The adjusted count does reach zero in serving. # scheduler.py:2451-2466
orig_num_spec_tokens = len(placeholder_spec_tokens)
...
spec_token_ids = metadata.grammar.validate_tokens(spec_token_ids) # may return []
num_invalid_tokens = orig_num_spec_tokens - len(spec_token_ids)
if num_invalid_tokens:
spec_token_ids.extend([-1] * num_invalid_tokens)
num_invalid_spec_tokens[req_id] = num_invalid_tokensI had claimed the opposite in #56278 and was corrected there by the author, who is right: with structured output, one request whose drafts are all invalidated gives The failure is quiet and order-dependent. In a batch mixing structured-output and plain requests, whether a step reports spec-decoding stats at all depends on where the fully-invalidated request sits in the loop, and the Prometheus counters and the log line just under-report. It needs guided decoding to trigger, which is common enough in production that I do not think it stays rare. The smallest fix that keeps your refactor is to stop conflating "nothing to record for this request" with "return the accumulator": guard on Worth noting for whoever reviews the two fixes for #56101 together: #56137 keeps the subtraction inside the callee, so it does not have this path. |
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Cross-referencing for awareness: this PR and #56137 both target #56101, but the Two notes from that thread that seem directly relevant:
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Description
This fixes #56101 where the speculative decoding
mean_acceptance_lengthoverestimates emitted tokens in cases where the generation is truncated (e.g. by an early EOS token or max limit constraints).The calculation now explicitly tracks the exact number of emitted tokens from the length of
new_token_idsduring scheduler updates rather than assuming1 + accepted_drafts_count.SpecDecodingStatshas also been updated to aggregatenum_emitted_tokensexplicitly.AI Assistance Statement:
This PR was authored with the assistance of Claude Code.
Test Results
uv run pytest tests/v1/spec_decode/test_request_acceptance.py-> 11/11 tests pass successfully.ruffstyle guidelines.Checklist