Files
aituner/runs/opprof-phase6/phase6/cells/tp2_mns64/warmup/result.json
Gahow Wang d5b276180d Add OpProf campaign: protocols, results, patches, run evidence (P0-P6)
Workload-conditioned operator profiling on patched vLLM 0.24.0 +
Qwen3-30B-A3B/H20. H1b PASS (irregular patterns carry +23-45pp R64
raggedness, 8-45% token-efficiency loss vs rectangular controls);
mechanism decomposition kills the padding narrative and finds the
arrival-uniformization artifact (-12.9%); cross-version churn surface
shows TP2/MNS64 -29.4% across vLLM 0.20->0.24 while the argmax held.
Raw Layer-1 JSONL streams (507 MB) stay on disk, git-ignored; footer
sidecars and metrics are tracked.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-13 11:06:10 +08:00

75 lines
1.9 KiB
JSON

{
"anchor": 0.75,
"cell": "tp2_mns64",
"early_stop_reason": "",
"early_stopped": false,
"exact_output_count": 16,
"feasible": false,
"interval": {
"elapsed_s": 7.415686836,
"end_mono_ns": 201114188199246,
"end_wall_ns": 1783869541314626167,
"start_mono_ns": 201106772512410,
"start_wall_ns": 1783869533898939505
},
"invariants": {
"arrival_nondecreasing": true,
"exact_output_or_failed": true,
"outcomes_cover_selected": true,
"raw_lengths_present": true,
"selected_nonempty": true,
"warmup_16": true,
"warmup_exact_16": true,
"warmup_long": true
},
"kind": "warmup",
"mns": 64,
"observed_count": 16,
"pass_rate": 0.75,
"schema": 1,
"selection": {
"arrival_order_sha256": "97f6ded38afa2a0fa9729d0553429b3df62e3d4e99710f4c19a706b1eba8fdaa",
"arrival_s": {
"distinct_n": 16,
"finite_n": 16,
"max": 2.723000000000002,
"min": 0.0,
"missing_n": 0,
"n": 16
},
"count": 16,
"long_gt4096": 5,
"offered_req_s": 0.26666666666666666,
"offered_req_s_per_gpu": 0.13333333333333333,
"raw_input_tokens": {
"distinct_n": 16,
"finite_n": 16,
"max": 7233.0,
"min": 71.0,
"missing_n": 0,
"n": 16
},
"raw_length_order_sha256": "76f4ce7bc309a1108d5d4b24ba24b374c14483a3dd35cd5648fbeafca60221ba",
"request_id_order_sha256": "b38587f14f8c188d131b4c5c8411951ec571999fb2ac6be6517f1ad952208852"
},
"slo_pass_count": 12,
"study_sha256": "9474f0d0b53579f1db852ca68abfb0b96ba43ae4e17738118bf8e3209eb09ece",
"tp": 2,
"tpot_ms": {
"distinct_n": 16,
"finite_n": 16,
"max": 48.44081654317868,
"min": 9.34166979529587,
"missing_n": 0,
"n": 16
},
"ttft_ms": {
"distinct_n": 16,
"finite_n": 16,
"max": 3932.37450599554,
"min": 783.6844140256289,
"missing_n": 0,
"n": 16
}
}