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Retry Omni-DuplexEval frame-sample content judging with uniformly subsampled frames only when the judge explicitly rejects the multimodal prompt for exceeding max_model_len. Preserve unrelated HTTP failures and record the initial/final frame counts plus retry count. AI-assisted: developed and reviewed with ChatGPT; submitter must add DCO sign-off before publication. Signed-off-by: luozijian <luozijian0924@gmail.com>
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This PR touches tests/e2e/, vllm_omni/benchmarks/ (2 files). Based on CODEOWNERS coverage of the changed files, the most-related reviewers appear to be: Could one of you take a look when you get a chance? Thanks! |
Cover temporal and content image requests with the same bounded recovery path. Keep failure as the default policy; expose opt-in frame reduction, narrow HTTP error classification, and record changes in score and summary metadata. Add typed CPU regressions, real localhost HTTP fixtures, CLI policy coverage, and documentation. AI assistance: ChatGPT assisted implementation, test design, and review. Local validation includes 34 CPU benchmark tests and 6 CLI-leaf tests with an explicit import adapter; no real model or GPU scoring claim. This follow-up is local and requires human review and DCO sign-off before publication. Signed-off-by: luozijian <luozijian0924@gmail.com>
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Contributor-side self-review (AI-assisted) for signed follow-up
The new commit is a fast-forward follow-up; prior signed history is unchanged. The PR body and title now describe the revised policy, and the PR remains Draft pending review of that policy and the new checks. AI assistance: ChatGPT assisted with implementation, tests, and these review notes. |
Integrate reviewed main 423f343 while preserving both original PR commits and the upstream PyAV media migration. Keep the default error policy, explicit reduce opt-in, bounded retries, and existing score/summary metadata. Preserve OSError/ValueError frame extraction behavior and add compatibility coverage. This tree matches the reviewed refresh candidate 3514482. Validation: 92 source-level CPU tests pass on the restored reviewed tree. The source harness bypasses package initialization and conftest, with the real vLLM v0.30.0 CLI types module. Normal collection remains blocked by missing torch/vLLM; no GPU, real judge-model, or full-package validation is claimed. AI assistance: ChatGPT assisted implementation, tests, validation, and this submission. Signed-off-by: luozijian <luozijian0924@gmail.com>
…ent main Merge fixed main 2f15526, preserving the original branch history. Retain upstream judge traces, strict score validation, prior-score quarantine, reference normalization and video_url fallback; image-frame reduction remains explicit opt-in. Cover fallback/reduction composition and schema failure after recovery. Validated tree 9afcbdd: 232 native CPU tests passed, zero skipped, with official vLLM 0.32.0+cpu; all 13 applicable changed-file static hooks passed. No GPU, live judge-model, complete upstream CI, score-equivalence or performance claim. Codex assisted integration, tests, validation and drafting. The contributor reviewed the delivered exact candidate, confirmed understanding and DCO, and authorized this signed merge and normal publication. Signed-off-by: luozijian <luozijian0924@gmail.com>
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The branch is refreshed at The exact published tree passed 232 native CPU tests (0 skipped) and all 13 applicable changed-file static hooks locally. Normal package initialization and repository conftests ran. The updated description contains commands, environment and limitations; this is not GPU, live-judge or full hosted-CI validation. DCO, pre-commit, both wheel builds, Analyze/CodeQL and Read the Docs have now succeeded on this head. Following contributor authorization and the full readiness check, this PR is ready for review. Maintainer review and any further standard CI admission remain separate. Feedback on the explicit recovery boundary would be welcome. Codex assisted with the refresh and verification. I reviewed the candidate and authorized its DCO sign-off and publication. |
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This PR appears to belong to: docs/design/module/benchmarking.md. Module owners: @alex-jw-brooks @Bounty-hunter @y-null Routing: @alex-jw-brooks via module of the changed files, CODEOWNERS; @Bounty-hunter via module of the changed files, CODEOWNERS; @y-null via model owner @LOGO127, please review your own changes and leave a short self-review comment describing what you checked. PRs without author self-review may not be assigned a reviewer. Please take a look when you have a chance. If you would like an automated review, mention @vllm-omni-review-bot in a comment. |
…ction Integrate main without rewriting prior history. Forward the format follow-up, retain the accepted frame budget, and keep cumulative reduction metadata. Add regressions for temporal, content and video fallback composition. Signed-off-by: LOGO127 <luozijian0924@gmail.com>
Omni ReviewBot triage noteAutomated triage of commit
These are automated triage suggestions only — the final decision belongs to the maintainers. |
Omni ReviewBot routing recordAssigned Strict on claude-code (mimo-v2.6-pro) under experiment |
Omni ReviewBot review statusReview for commit |
Omni ReviewBot routing recordAssigned Strict on zcode (GLM-5.3-Flash) under experiment |
Purpose and contributor intent
Make judge image-frame context-overflow behavior explicit and auditable. The highest-leverage variable is whether frame reduction is explicitly enabled. The default image-frame policy is
error;reduceopts into bounded retries on recognized HTTP 400/500 context errors, selecting uniformly from the original timeline. Evaluation users need to distinguish failure recovery from protocol-equivalent benchmark results: reduced frames can change scores.The existing upstream
video_url→sampled-frame fallback is retained. If those sampled frames also overflow, reduction requires explicit--judge-frame-overflow reduce. Unrelated errors, single-frame overflow and incomplete judge responses still fail. Upstream's single corrective request for a scoreless reply is retained; a still-invalid corrective reply fails rather than creating a score.Current integration
This update reconciles upstream
7eb377d8d8a8e696ce5c6af79541f780dcd92932, including #9260's corrective judge request. The format-correctionfollowupargument now passes through temporal, frame-sample content, direct-video content and video fallback. A correction keeps the accepted frame count. Further context overflow can reduce that count only under the existing opt-in policy, sampling the original timeline. Reduction metadata accumulates across both attempts.Ground-truth reference normalization, raw judge-reply traces, format-retry markers, score validation, prior-score quarantine and atomic score writes remain intact. HTTP overflow rejections are logged, not represented as judge-reply trace rows. There is no proactive token-fit, equivalent-score, GPU or performance claim.
e516da99ada8c858208dd78ee7a7ea2ea9635057.9d16ac3dd075d41afb463eefec2f15222ed75613.2a9d3abcb1d67e3e5f226fd6760c618f3446cac4and main7eb377d8d8a8e696ce5c6af79541f780dcd92932.Validation
Fresh native CPU validation of the candidate: 435 passed, 33 warnings, no skipped/deselected tests, covering all duplex benchmark and patch tests plus the CPU CLI test module. Tests run with normal package initialization and repository conftests. Eight new overlap regressions additionally fail as expected on a separate mechanical-conflict-resolution control, exposing the missing
followupsupport. Those expected failures are not counted as passing candidate tests.The overlap checks cover temporal/content/video-fallback corrective requests, another overflow during correction, direct video correction, default-policy failure, frame identity/selection and accumulated metadata. Existing failed-score quarantine coverage now includes upstream's one corrective request and its failed-retry trace.
Runtime: Python 3.12.14, official vLLM 0.32.0+cpu and PyTorch 2.13.0+cpu, Intel OpenMP preloaded, CPU affinity and threads bounded at two, writable offline Hugging Face caches. The review packet includes the exact dependency freeze, commands and logs. Codex executed these tests; they are not claimed as a personal manual rerun by the contributor.
All 13 applicable validation hooks plus the informational suggestion hook passed through the unchanged pre-commit configuration. This includes pinned Ruff, formatting, mypy 3.10, typos, markdownlint, SPDX, test marks, forbidden imports and CUDA-call checks. The aggregate launcher could not install inapplicable actionlint because this host's
/usr/bin/gois not a Go toolchain; its failure log is retained. No applicable validation hook was skipped. The initial mypy conditional-call inference error was corrected with an explicit callable annotation; both the hooks and complete native selection were rerun successfully on the final tree.The previous 232-pass report and hosted green checks applied to
2a9d3ab, not this new merge. New hosted checks must be verified on its published SHA. No real judge model, full dataset, GPU, full hosted CI, performance or score-equivalence validation is claimed. Maintainers control further CI admission and repository merge requirements.Contribution
Codex assisted conflict reconciliation, regression coverage, tests and this description. Independent AI source review is not a human reviewer approval. The contributor personally reviewed and understood this exact integration and validation evidence, accepted DCO and authorized its normal publication and this body update. No self-approval or repository merge is part of this update.