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[VideoGenX] measure requests and validate generated media / [VideoGenX] 测量请求并校验生成媒体 - #4658
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Summary
An HTTP success does not establish that the complete video and audio were delivered, or that two outputs are comparable.
runner.pyrecords request payloads, warmup/measurement identity, failures and client delivery timing.media.pydecodes every video frame and audio sample; incompatible geometry or timestamps leave comparison metrics unavailable rather than resizing or trimming outputs to match.compare.pybinds numerical comparisons to their provenance. The separate pinned Diffusers producer retains reference arrays before lossy encoding.Testing: Complete H100 media decoding is recorded in #2916. Cross-engine quality remains unjudged.
Depends on the workload contract in #4657.
Validation details
CPU CI and H3 checks passed at
d9353c82.PR checklist and change type
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Checklist
python -m infx.matrix.changed --base origin/mainlists affected config keys, I have appended one new entry covering them to the physical end ofinferencex-e2e/perf-changelog.yaml; if it lists none, I have added none. I have not edited historical entriesinferencex-e2e/perf-changelog.yamlentry, it carries exactly one primary sweep label (a maintainer applies it on fork PRs):full-sweep-fail-fast(recommended),full-sweep-enabled, ornon-canary-full-sweep-enabled. Optional modifiersall-evals,evals-only, andagentx-fastrequire a primary label; the last two block reuse while applied.OWNER/MEMBER/COLLABORATOR) has commented/use <run_id>(or the legacy/reuse-sweep-run) on this PR. Do this only once there is a final full sweep that is all green with evals passing, since after this comment the primary sweep label will no longer automatically kick off new sweeps. Remove and re-add the primary sweep label to force a new sweep.