Frank
fa858f4c10
apply-protected-cast.sh splices derive-protected-experts.py output into the recipe's PROTECTED-BEGIN/END section (refuses to re-derive, trashes the pre-edit recipe). kld-gate-swift15.sh boots the candidate on the serving pin in --kld-ref mode (pool fully resident, no disk tier) and enforces mean KL<=0.03 / top-1>=95% from the JSON report.
87 lines
3.5 KiB
Bash
Executable File
87 lines
3.5 KiB
Bash
Executable File
#!/usr/bin/env bash
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# kld-gate-swift15.sh — RUNS ON DANKSERVER. Boot the w4dn8 candidate on the
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# serving pin (1.0.13) in --kld-ref mode: score it against the bf16 reference
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# recorded by run-swift15-bf16.sh kld, on the held-out 1.8M-token corpus.
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# Gate (settled design): mean KL <= 0.03 AND top-1 agreement >= 95%.
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# On fail the escalation is gate_up w4nl -> w5nl (+3-4 h), not a re-tune.
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#
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# Shape: the candidate's experts are ~37.6 GiB a rank at w4dn8, under the
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# 40960 MiB pool, so the tier is fully resident — no disk tier here; the
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# record scored the bf16 model at its own (disk-tier) shape, which is a
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# placement choice, not a numerics choice (weights resident are identical).
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set -uo pipefail
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PIN_1013=sha256:4c3f484564bb2872784e46b0a59cbd71becc9c1e746e301a3596ffae253c322e
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IMAGE="stilldeadcode/radiance@$PIN_1013"
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RAD=/home/dank/models/rad/qwen4exp-swift15-w4dn8-i8-hc8m.rad
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C=swift15gate
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LOG=/home/dank/logs/swift15_gate.log
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REPORT=/home/dank/corpora/kld-cand.json
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MAX_KL=${FRANK_KLD_GATE_MAX_KL:-0.03}
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MIN_TOP1=${FRANK_KLD_GATE_MIN_TOP1:-95}
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restore() { sudo systemctl start frank-primary >/dev/null 2>&1 || true; }
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trap restore EXIT
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sudo systemctl stop frank-primary >/dev/null 2>&1 || true
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podman rm -f "$C" >/dev/null 2>&1 || true
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[ -d /home/dank/corpora/kld-ref ] && [ -n "$(ls /home/dank/corpora/kld-ref)" ] || {
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echo "no kld reference recorded" >&2; exit 1; }
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podman run --rm --name "$C" \
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--network host --init \
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--security-opt seccomp=unconfined \
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--ulimit memlock=-1:-1 \
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--device /dev/kfd --device /dev/dri \
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-v /home/dank/models:/models:ro \
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-v /home/dank/radiance-state:/data \
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-v /home/dank/corpora/kld-ref:/data/kld-ref:ro \
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-v /home/dank/corpora/out/kld.jsonl:/data/kld.jsonl:ro \
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-v /home/dank/corpora:/out \
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"$IMAGE" \
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--model /models/rad/$(basename "$RAD") \
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--tp 2 --placement expert_tiered --host-pool-mib 40960 \
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--deterministic --gpu-headroom-mib 768 \
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--num-speculative-tokens 0 \
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--kv-cache-dtype fp8 --max-model-len 16384 \
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--ngram-placement ram \
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--override-chat-template /models/tpl.jinja \
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--kld-ref /data/kld-ref --kld-corpus /data/kld.jsonl \
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--vram-kv-mib 3072 --max-num-seqs 4 --max-num-batched-tokens 32768 \
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--kld-out /out/kld-cand.json 2>&1 | tee "$LOG"
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rc=${PIPESTATUS[0]}
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[ "$rc" -eq 0 ] || { echo "kld run rc=$rc; log: $LOG" >&2; exit "$rc"; }
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python3 - "$REPORT" "$MAX_KL" "$MIN_TOP1" <<'PYEOF'
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import json, sys, math
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report, max_kl, min_top1 = sys.argv[1], float(sys.argv[2]), float(sys.argv[3])
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d = json.load(open(report))
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print(json.dumps(d, indent=1)[:4000])
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flat = {}
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def walk(o, path=""):
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if isinstance(o, dict):
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for k, v in o.items(): walk(v, f"{path}.{k}" if path else k)
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elif isinstance(o, list):
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pass
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else:
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flat[path] = o
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walk(d)
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def pick(*pats):
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for p in pats:
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for k, v in flat.items():
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if all(s in k.lower() for s in p) and isinstance(v, (int, float)) \
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and not (isinstance(v, float) and math.isnan(v)):
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return k, v
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return None, None
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klk, kl = pick(("mean", "kl"), ("kl", "mean"), ("mean",))
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tk, t1 = pick(("top1",), ("top", "1"), ("agreement",), ("top-1",))
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t1 = t1 * 100 if t1 is not None and t1 <= 1 else t1
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print(f"GATE mean_kl: {kl!r} ({klk}) <= {max_kl}? top1: {t1!r} ({tk}) >= {min_top1}?")
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if kl is None or t1 is None:
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print("GATE UNKNOWN — key names not recognised, inspect the report by hand")
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sys.exit(2)
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ok = kl <= max_kl and t1 >= min_top1
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print("GATE_PASS" if ok else "GATE_FAIL")
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sys.exit(0 if ok else 1)
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PYEOF
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echo "report: $REPORT rows: $REPORT.rows"
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