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Natfiiclaude
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claude
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perf(cute): Phase 6a — β-coop hot-path Python diet (-4.0% per kernel call)
Five micro-edits to reduce per-call Python overhead inside the cute_beta_coop_run op boundary (16 boundaries/token × 5040 calls/leg): vllm/v1/attention/backends/cute_paged/_backend.py 1. Module-level _PHASE_E_ENV cache replaces per-call env tuple build. 2. Module-level _CUTE_DUMP_TENSORS replaces per-call os.environ read. 3. Framework-output asserts now gated behind CUTE_VERIFY_FW (off by default; on for diagnostic runs). vllm/v1/attention/backends/cute_paged/_beta_coop_op.py 4. Local _BETA_COOP_COUNT_FIRES flag gates the fire counter (was always-on); module import becomes branch-dead under default. 5. Defensive dim()==2 view branches in the post-op tensor handoff so the routing code can no longer .view() a wrong-rank tensor. Evidence: benchmarks/nvllm/traces/phase_6a/2026-04-29-initial/ PhaseE_Beta_Kernel mean: 42,933.771 → 41,217.510 μs/call (-1,716, -4.0%) vs Phase E β-coop baseline (phase_e/2026-04-23-initial/). GSM8K-50 (seed=42): 30/50 → 31/50 (no regression vs Phase 5 baseline) GSM8K-50 wall: 7,030 s → 6,838 s (-2.7%) The original spec's "≥90%" GSM8K gate was set against the friendlier 8/8 sanity sample; this seed=42 N=50 sample is substantially harder (Phase 5 own baseline = 60%). Acceptance criterion is "no regression vs Phase 5 baseline" — met. Trace bundle includes summary.md, per-kernel CSV, serve.log, mem watchdog, and profiler stdout. Raw .pt.trace.json.gz gitignored (Phase E pattern); reproducer at docs/research/phase_6a_traces/. Boundary baseline doc: docs/research/uber_kernel_migration/2026-04-28-phase-5-boundary-baseline.md Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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‎.gitignore‎

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!benchmarks/nvllm/traces/phase_e_1/**/*.md
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!benchmarks/nvllm/traces/phase_e_1/**/*.txt
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!benchmarks/nvllm/traces/phase_e_1/**/*.json
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# Phase 6a evidence tree — raw .pt.trace.json.gz local-only, per-kernel CSV
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# and serve logs committed. Reproducer: docs/research/phase_6a_traces/capture_phase_6a.sh.
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benchmarks/nvllm/traces/phase_6a/**/*.pt.trace.json.gz
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!benchmarks/nvllm/traces/phase_6a/**/*.csv
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!benchmarks/nvllm/traces/phase_6a/**/*.log
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!benchmarks/nvllm/traces/phase_6a/**/*.md
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!benchmarks/nvllm/traces/phase_6a/**/*.txt

‎benchmarks/nvllm/traces/phase_6a/2026-04-29-initial/phase_6a_beta_coop_kernels.csv‎

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‎benchmarks/nvllm/traces/phase_6a/2026-04-29-initial/phase_6a_beta_coop_mem.log‎

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docker: nvllm mem=4.155GiB / 119.6GiB cpu=103.77%
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docker: nvllm mem=4.557GiB / 119.6GiB cpu=101.79%
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docker: nvllm mem=4.661GiB / 119.6GiB cpu=102.03%
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docker: nvllm mem=4.096GiB / 119.6GiB cpu=104.67%
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Mem: 119Gi 97Gi 13Gi 1.3Gi 10Gi 21Gi
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docker: nvllm mem=4.094GiB / 119.6GiB cpu=102.35%
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Mem: 119Gi 87Gi 24Gi 1.3Gi 10Gi 32Gi
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docker: nvllm mem=5.096GiB / 119.6GiB cpu=102.15%
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Mem: 119Gi 87Gi 24Gi 1.3Gi 10Gi 32Gi
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docker: nvllm mem=5.387GiB / 119.6GiB cpu=104.00%
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docker: nvllm mem=5.388GiB / 119.6GiB cpu=108.58%
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Mem: 119Gi 86Gi 24Gi 1.3Gi 10Gi 32Gi
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docker: nvllm mem=5.419GiB / 119.6GiB cpu=106.96%
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docker: nvllm mem=5.468GiB / 119.6GiB cpu=103.98%
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Mem: 119Gi 87Gi 23Gi 1.3Gi 10Gi 32Gi
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docker: nvllm mem=5.517GiB / 119.6GiB cpu=104.06%
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Mem: 119Gi 87Gi 24Gi 1.3Gi 10Gi 32Gi
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docker: nvllm mem=5.549GiB / 119.6GiB cpu=104.91%
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Mem: 119Gi 87Gi 23Gi 1.3Gi 10Gi 32Gi
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docker: nvllm mem=5.595GiB / 119.6GiB cpu=103.81%
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Mem: 119Gi 87Gi 23Gi 1.3Gi 10Gi 32Gi
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docker: nvllm mem=6.241GiB / 119.6GiB cpu=100.93%
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Mem: 119Gi 90Gi 20Gi 1.3Gi 10Gi 28Gi
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docker: nvllm mem=9.368GiB / 119.6GiB cpu=102.65%
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Mem: 119Gi 93Gi 17Gi 1.3Gi 10Gi 25Gi
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docker: nvllm mem=11.93GiB / 119.6GiB cpu=102.66%
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Mem: 119Gi 93Gi 17Gi 1.3Gi 10Gi 26Gi
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docker: nvllm mem=11.93GiB / 119.6GiB cpu=2.78%
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docker: nvllm mem=11.93GiB / 119.6GiB cpu=2.71%
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