calib-push: drive calib.jsonl through scratch prefill until the tap writes Hessians

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Frank
2026-10-06 21:32:56 -07:00
parent 49dd2be4cd
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#!/usr/bin/env python3
"""calib-push.py — drive a calibration corpus through a radiance scratch
server's prefill so its tap writes layer Hessians (docs/MOE-W4.md).
Runs ON DANKSERVER next to the scratch server (the one autoresearch- /
serve-style scratch container booted with RADIANCE_CALIB_DIR set).
Reads the corpus JSONL produced by make-calib-corpus.py
({"prompt": "..."} a line), POSTs each prompt to /v1/completions with
max_tokens=1 (prefill-only cost, one token out), at N-way concurrency
matching the scratch server's --max-num-seqs budget.
Corpus rounds repeat until the engine prints the tap's completion line
("calibration wrote layer Hessians") in `podman logs <container>` — that
is the ground truth that RADIANCE_CALIB_TOKENS was reached. After that
line, further prompts are pure waste, so the driver exits.
Mechanics notes:
- requests carry no sampling params that matter (max_tokens=1, greedy).
- a per-request timeout of 30 min: at ~1k tok/s prefill a 12k-token
prompt is a few seconds; the timeout only catches a wedged engine.
- failures print and continue: the tap pools over tokens, a few lost
prompts do not bias the Hessians (the corpus is drawn round-robin over
source classes, so loss is class-neutral as long as failures are rare;
a systematic 4xx is loud in the log and must be fixed, not ignored).
Usage: calib-push.py [--port 7770] [--parallel 64] [--container arbench]
[--corpus /home/dank/corpora/out/calib.jsonl] [--max-rounds 4]
"""
import argparse
import concurrent.futures
import json
import subprocess
import sys
import time
import urllib.request
DONE_MARK = "calibration wrote"
def tap_done(container):
"""True if the engine logged the tap's completion line."""
try:
out = subprocess.run(
["podman", "logs", "--tail", "50", container],
capture_output=True, text=True, timeout=30,
)
except Exception:
return False
return DONE_MARK in (out.stdout + out.stderr)
def push_one(url, prompt):
body = json.dumps({
"model": "frank-primary",
"prompt": prompt,
"max_tokens": 1,
"temperature": 0,
"stream": False,
}).encode()
req = urllib.request.Request(
url, data=body, headers={"Content-Type": "application/json"})
try:
with urllib.request.urlopen(req, timeout=1800) as r:
r.read()
return True
except Exception as e:
print(f"FAIL {str(e)[:120]}", flush=True)
return False
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--port", type=int, default=7770)
ap.add_argument("--parallel", type=int, default=64)
ap.add_argument("--container", default="arbench")
ap.add_argument("--corpus", default="/home/dank/corpora/out/calib.jsonl")
ap.add_argument("--max-rounds", type=int, default=4)
a = ap.parse_args()
url = f"http://127.0.0.1:{a.port}/v1/completions"
prompts = []
with open(a.corpus) as f:
for line in f:
line = line.strip()
if line:
prompts.append(json.loads(line)["prompt"])
print(f"corpus: {len(prompts)} prompts", flush=True)
for rnd in range(1, a.max_rounds + 1):
if tap_done(a.container):
break
t0 = time.time()
ok = 0
with concurrent.futures.ThreadPoolExecutor(a.parallel) as ex:
for good in ex.map(lambda p: push_one(url, p), prompts):
ok += 1 if good else 0
dt = time.time() - t0
print(f"round {rnd}: {ok}/{len(prompts)} ok in {dt:.0f}s "
f"({sum(len(p) for p in prompts)/4/dt:.0f} chars/s est)",
flush=True)
if tap_done(a.container):
break
else:
print("max rounds exhausted, tap not done", flush=True)
sys.exit(1)
print("TAP_DONE: calibration wrote layer Hessians", flush=True)
if __name__ == "__main__":
main()