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jthomson04
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Revert gb200 changes on main
Oseltamivir
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…on a bad consume mode queries.md #13 and #9. #13: flashinfer-ep declares maturity "production" -- true of the backend, since vLLM exposes --all2all-backend flashinfer_nvlink_one_sided -- while its FP8 dispatch is a precision no engine can select (vLLM takes nvfp4/mxfp8/bf16 on that transport). The only machine-readable marker was an "-offpath" suffix buried inside the dispatch_dtype STRING, which nothing groups or filters on, and summarize.py prints no dispatch_dtype column at all. So in the view most people read, a transport-only measurement was indistinguishable from a deployable result. maturity cannot carry this: it is per-backend, and the whole point is that one backend is deployed at BF16 and off-path at FP8. So path_status is per-case, defaults to "deployed", and flashinfer-ep sets "offpath" under FP8. The harness emits it beside maturity and summarize marks the precision column ("fp8 [offpath]"). Not excluded from the matrix, which was the other option on the table: the row exists precisely to compare FP8 wire cost against deepep-v2/uccl-ep at matching bytes and block size, and dropping it would throw that away to fix a labelling problem. The "-offpath" dispatch_dtype suffix stays for durable-store row continuity and can retire at the next version bump. #9: CX_FP8_CONSUME accepted any string and silently meant "native", so a typo measured the opposite model from the one requested AND tagged the artifact with the typo. It now fails closed. Because the value is read at class-body evaluation this raises at import, before any measurement runs, which is the right moment for it. The rest of #9 -- relocating the dequant hatch to a separate diagnostic script -- is declined. The review conditioned that on the dequant cost being derivable, and it is: dequant roundtrip is roundtrip + stage to within +2.4%/-0.1%, verified in-tree. But the hatch is what re-verifies that bound after a kernel change (302.0 vs 302.5us in run 30177021271), a separate script would need the identical staged-inline branch, and BF16 requires that branch regardless. Moving it deletes the instrument, not the mechanism, and would make the derivability claim unfalsifiable. Also repaired here: a comment I orphaned two commits ago. Deleting combine_input_attr left its comment with no declaration beneath it, so it ran straight into the fp8_consume block and read as one paragraph. It is now marked as what it is -- a handle contract, not an attribute of the class. Tests: the unrecognised-mode guard (verified failing when removed), the deployed default, and two render tests -- an off-path row is marked, a deployed row and a row predating the field are not. 168 tests green.
Oseltamivir
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queries.md #13, second half. A per-case `path_status` field (8068c41) made FlashInfer's FP8 row identifiable, but it still shipped in every production sweep — so the default matrix spent GPU time measuring, and the dashboard displayed, a configuration no serving engine can select. Labelling it was necessary and not sufficient. `OFF_PATH_PRECISIONS` now lists such (backend, precision) pairs and the generator drops them unless the caller names the precision explicitly. Default sweeps carry deployable configurations only; `--precisions fp8` still brings the row back, because it exists for a real purpose — comparing the FP8 wire against deepep-v2/uccl-ep at matching bytes and block size — and deleting it outright would throw that away to fix a scheduling problem. Declared in sweep_matrix rather than read from the adapter's `path_status`, because this generator must resolve the matrix with no torch or vendor imports; a test holds the two in step. One consequence stated rather than buried: a precision filter is no longer purely subtractive. Naming an off-path precision ADDS rows relative to the default. The test that pinned the subtractive property now pins the exception explicitly instead of quietly comparing against a different baseline.
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Added success rate calculation to full sweep workflows.
results_*.jsonrun_stats.jsonSuccessful sample run