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Copy file name to clipboardExpand all lines: experimental/dsv4_agentx_gb200_autoresearch/experiment-ledger.jsonl
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{"timestamp":"2026-06-26T15:29:00Z","kind":"runtime_sync","inferencex_sha":"ba2049d8308a3c605c8303628d68e7e963198aae","aiperf_sha":"24be4b4b0eff13c0a17692ef2eed1e938c94a6e8","included_commit":"999adab351f127837b9e17659ba5c6d9fd791156","rationale":"Canonical combined AIPerf cancellation-drain and pending-flush fixes plus exact benchmark exit-code propagation."}
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{"timestamp":"2026-07-01T06:03:58Z","kind":"search_space_update","inferencex_base_sha":"3d636030a11ea02d71d2e9a49fd039a5229e9169","aiperf_sha":"0595c16aa7e7a7d853d01a932dcd06ced3d8b94d","removed_configs":["dsv4-fp4-gb200-dynamo-vllm-agentic-3p2d-tep8-tp8-autoresearch"],"added_configs":["dsv4-fp4-gb200-dynamo-vllm-agentic-1p1d-dep8-tp8-lowlat-autoresearch","dsv4-fp4-gb200-dynamo-vllm-agentic-1p2d-dep8-tp8-lowlat-autoresearch","dsv4-fp4-gb200-dynamo-vllm-agentic-2p1d-dep8-dep8-bt16k-autoresearch"],"rationale":"User requested removing worthless TEP configs, adding low-concurrency DEP8 prefill plus TP8 decode low-latency candidates, and testing larger 16k prefill batches to push high-throughput frontier without the observed c192-to-c224 TTFT cliff.","local_validation":"generate_sweep_configs full-sweep produced 12 agentic GB200 configs, all duration=3600, no max-model-len, no TEP/3p2d strings, no duplicate exp-name values."}
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{"timestamp":"2026-07-01T08:36:00Z","kind":"failure_diagnosis","workflow_run_id":28500373166,"workflow_attempt":1,"github_job_id":84476045718,"slurm_job_id":20417,"config":"dsv4_p2x8_d1x8_conc176x192","point":"conc176","inferencex_sha":"9a6feea4273b3d5dbaca65f49d44c03f9bc2039d","aiperf_sha":"0595c16aa7e7a7d853d01a932dcd06ced3d8b94d","observed":"AIPerf aborted during accelerated warmup before profiling with replay_rc=1, Benchmark aborted: warmup_failure, no valid profile export, and mass ServerDisconnectedError after profile cancel.","root_cause":"Server-side prefill EngineCore died; frontend reported EngineDeadError and prefill logs showed crash in fused_moe_trtllm_sm100 under the experimental 16384 max-num-batched-tokens recipe.","decision":"Cap the experimental high-throughput recipe back to 8192 max-num-batched-tokens while preserving the materialized CONFIG_FILE path so the failed matrix job can be rerun on the same workflow."}
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{"timestamp":"2026-07-01T15:56:00Z","kind":"false_green_diagnosis","workflow_run_id":28500373166,"workflow_attempt":1,"github_job_id":84476045810,"slurm_job_id":20423,"config":"dsv4_p2x8_d1x8_conc144x160","point":"conc160","inferencex_sha":"c53253c5434fdb70f05f61a4fd2fb1ac32e8ec1f","aiperf_sha":"0595c16aa7e7a7d853d01a932dcd06ced3d8b94d","observed":"GHA job concluded success even though conc160 AIPerf emitted ProfileAborted(failed_request_threshold), profiling lasted only 25.35s, profile_export_aiperf.json was absent, and checkpoint artifact contained only the conc144 success marker. The bmk artifact nevertheless uploaded a partial conc160 aggregate.","root_cause":"GB200 host launcher treated presence of per-concurrency JSON files with num_requests_successful>0 as sufficient, cancelled server workers, and never required the AgentX success markers that are written only after AIPerf replay/result validation succeeds.","decision":"Require validated per-concurrency AgentX checkpoint JSON plus .success.json marker before early Slurm cancellation and before GB200 launcher success; mirror the same marker check in benchmark-multinode-tmpl for future runs."}
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