"""Build the FINAL Phase 3 results page. Every number comes from results/phase3/final_numbers.json (written by final_report.py from the raw
per-item records), plus the per-item records themselves (progress table) and Phase 2's p2_metrics.json (reference accuracies of
Stock / CoDA-1.7B / Qwen3-0.6B in Figure 2). Prose is rendered from results/phase3/REPORT.md and code/phase3/README.md, so the page and the
report cannot disagree.
Usage (repo root):
/venv/p2/bin/python -I logs/phase3/extrap/final_report.py
/venv/p2/bin/python -I logs/phase3/extrap/build_final.py results/phase3/final_numbers.json results/phase3/REPORT.md logs/phase3/extrap/phase3_redraft.html
"""
import glob, html, json, os, re, sys, datetime as dt
NUM, REPORT, OUT = sys.argv[1:4]
N = json.load(open(NUM)); B = N["benchmarks"]; S = N["samples"]
P2 = json.load(open("logs/phase3/extrap/p2_metrics.json"))
RT = open(REPORT).read()
IST = dt.timezone(dt.timedelta(hours=5, minutes=30))
e = html.escape
ORDER = ["humaneval", "mbpp", "gsm8k500", "ifeval541", "math500", "gpqa", "aime"] # the Phase 2 page's order
NAMES = {"humaneval": "HumanEval", "mbpp": "MBPP", "gsm8k500": "GSM8K-500", "ifeval541": "IFEval-541", "math500": "MATH-500",
"gpqa": "GPQA-Diamond", "aime": "AIME"}
XSENT = ("EXTRAPOLATED — based on the extrapolation using the measured numbers on 4× GPUs for this dataset for this model, using reference "
"from the runs from this model (the base pipeline measured on the Phase 1 8× box).")
XT = "extrapolated"; XTA = "extrapolated, drift-adjusted"; MT = "measured on the Phase 1 box"
def n_exp(s): return P2[s]["S0_nopool"]["n"] # benchmark size
def f1(x): return f"{x:.1f}"
def f2(x): return f"{x:.2f}"
def f3(x): return f"{x:.3f}"
def sg(v, d=1): return ("−" if v < 0 else "+") + f"{abs(v):.{d}f}" # same sign convention as REPORT.md (+0.0 stays +0.0)
def dash(): return "·"
def wall(m): return f"{m:.1f} min" if m else dash()
# ---------------------------------------------------------------- tiny markdown renderer (REPORT.md / README.md prose)
def inline(t):
codes = []
def stash(m): codes.append(m.group(1)); return f"\x00{len(codes) - 1}\x00"
t = re.sub(r"`([^`]+)`", stash, t) # code spans first, so ** inside them (e.g. `decode/**`) is left alone
t = html.escape(t, quote=False)
t = re.sub(r"\*\*(.+?)\*\*", r"\1", t)
return re.sub(r"\x00(\d+)\x00", lambda m: "" + html.escape(codes[int(m.group(1))], quote=False) + "", t)
def md_blocks(lines):
out, para, i = [], [], 0
def flush():
if para: out.append(("p", " ".join(para))); para.clear()
while i < len(lines):
l = lines[i]
if l.startswith("```"):
flush(); j = i + 1; code = []
while j < len(lines) and not lines[j].startswith("```"): code.append(lines[j]); j += 1
out.append(("code", "\n".join(code))); i = j + 1; continue
if l.startswith("|") or l.startswith("#"): flush(); i += 1; continue # tables are rebuilt from final_numbers.json
m = re.match(r"^(-|\d+\.)\s+(.*)$", l)
if m:
flush(); kind = "ol" if m.group(1)[0].isdigit() else "ul"; items = [m.group(2)]; i += 1
while i < len(lines):
m2 = re.match(r"^(-|\d+\.)\s+(.*)$", lines[i])
if m2: items.append(m2.group(2)); i += 1
elif lines[i].startswith(" ") and lines[i].strip(): items[-1] += " " + lines[i].strip(); i += 1
else: break
out.append((kind, items)); continue
if not l.strip(): flush(); i += 1; continue
para.append(l.strip()); i += 1
flush(); return out
def md_html(blocks):
h = []
for kind, v in blocks:
if kind == "p": h.append(f"
{inline(v)}
") elif kind in ("ul", "ol"): h.append(f"<{kind}>" + "".join(f"{html.escape(v)}")
return "".join(h)
def sections(text):
secs, cur = {}, None
for l in text.splitlines():
m = re.match(r"^## (\d+)\. ", l)
if m: cur = int(m.group(1)); secs[cur] = []
elif cur is not None: secs[cur].append(l)
return secs
RS = sections(RT)
def pick(sec, *prefixes):
"""paragraphs of a REPORT section whose text starts with one of the prefixes (in the order given)"""
bl = md_blocks(RS.get(sec, [])); out = []
for pf in prefixes:
hit = [b for b in bl if b[0] == "p" and b[1].startswith(pf)]
if hit: out.append(hit[0])
else: print(f"WARNING: REPORT.md section {sec}: no paragraph starting with {pf!r}", file=sys.stderr)
return md_html(out)
# ---------------------------------------------------------------- records (progress table)
def recinfo(pat):
n, last = 0, None
for f in glob.glob(pat):
if f.endswith("running.jsonl"): continue
for l in open(f):
if not l.strip(): continue
try: r = json.loads(l)
except ValueError: continue
n += 1; u = r.get("utc")
if u and (last is None or u > last): last = u
return n, last
def ist(u): return dt.datetime.strptime(u, "%Y-%m-%dT%H:%M:%SZ").replace(tzinfo=dt.timezone.utc).astimezone(IST).strftime("%d %b %H:%M") if u else dash()
NOW = dt.datetime.now(dt.timezone.utc)
def alive(u): return bool(u) and (NOW - dt.datetime.strptime(u, "%Y-%m-%dT%H:%M:%SZ").replace(tzinfo=dt.timezone.utc)).total_seconds() < 20 * 60
def chip(kind, txt): return f"{e(txt)}"
def state_of(done_marker, n, total, last):
if os.path.exists(done_marker) and n >= total: return chip("done", "done")
if n == 0: return chip("stopped", "not run: stopped by the lead")
return chip("running", "running") if alive(last) else chip("stopped", f"stopped at {n}/{total}")
prog = []
for s in ORDER:
total = n_exp(s); full = s in B
for a in ("rd1", "rd2", "base"):
if a == "base":
pat, mk = (f"logs/phase3/decode/judge/{s}/*.jsonl", f"logs/phase3/decode/judge/{s}/.complete") if full else (f"logs/phase3/decode/judge_sample/{s}/*.jsonl", None)
else:
pat, mk = f"logs/phase3/decode/{a}/{s}/*.jsonl", f"logs/phase3/decode/{a}/{s}/.complete"
n, last = recinfo(pat)
if a == "base" and not full:
st = chip("done", "done (first items only)") if n else chip("stopped", "not run"); tot = f"{n}/{total}"
else:
st = state_of(mk, n, total, last); tot = f"{n}/{total}"
if full: w = (B[s]["wall_base_min"] if a == "base" else B[s]["arms"][a]["wall_here_min"])
else: w = None
label = "base pipeline" if a == "base" else a
prog.append(f"At a glance (measured, raw, all from Table 1; the host-speed drift of section 3 is not removed from the speedups):
" "Not run, so nothing to extrapolate: rd1 and rd2 on {', '.join(notrun)}.
") # ---------------------------------------------------------------- figures FIG = [] for s in ORDER: nm = NAMES[s]; n = n_exp(s) if s not in B: FIG.append({"name": nm, "n": n, "pts": [], "live": False, "msg": "rd1 and rd2 not run (stopped after GSM8K-500)"}); continue b = B[s]; base = b["base_here"]; pts = [] pts.append({"label": "Stock 30B (Phase 2 records)", "tiny": "Stock", "shape": "diamond", "color": "--s-stock", "acc": P2[s]["stock"]["acc"], "err": None, "note": "Phase 2 records, not measured here"}) pts.append({"label": "Base pipeline (this box)", "tiny": "Base", "shape": "circle", "color": "--s-sdar", "sp": 1.0, "acc": base["acc"], "err": None, "tps": base["tok_s"], "note": f"measured here, {base['n']} items; reference = 1x"}) pts.append({"label": "CoDA-1.7B + judge (Phase 2 records)", "tiny": "CoDA", "shape": "square", "color": "--s-coda", "acc": P2[s]["F2_nopool"]["acc"], "err": None, "note": "Phase 2 records, not measured here"}) pts.append({"label": "Qwen3-0.6B + judge (Phase 2 records)", "tiny": "Qwen3", "shape": "triangle", "color": "--s-qwen", "acc": P2[s]["S1_nopool"]["acc"], "err": None, "note": "Phase 2 records, not measured here"}) for a, shape, col in (("rd1", "pent", "--s-rd1"), ("rd2", "star", "--s-rd2")): x = b["arms"][a]; m = x["all_items"]; d = x["delta_acc_vs_base"] pts.append({"label": a + (" (re-draft every pass)" if a == "rd1" else " (re-draft every 2 passes)"), "tiny": a, "shape": shape, "color": col, "sp": x["speedup_raw"], "acc": m["acc"], "err": [m["acc"] + (d[1] - d[0]), m["acc"] + (d[2] - d[0])], "tps": m["tok_s"], "note": f"raw, measured here on {x['paired_items']} paired items vs the base pipeline (host drift not removed); accuracy delta vs base {d[0]:+.1f} pts [{d[1]:+.1f}, {d[2]:+.1f}]"}) FIG.append({"name": nm, "n": n, "pts": pts, "live": True}) # ---------------------------------------------------------------- prose SEC1 = md_html(md_blocks(RS[1])).replace("(section 6)", "(Table 2)") _gf = re.search(r"`gpu_frac` ([0-9.]+)", RT) if _gf: SEC1 += (f"Shared host. The box is a shared, rented server: gpu_frac is {_gf.group(1)} (we rent part of the machine's GPUs; another tenant uses the rest). "
"Section 3 shows what that does to the measured speed.
Timing in detail. Per-item seconds is set in decode_item (code/draftalign/da_decode.py): "
"torch.cuda.synchronize(), then time.perf_counter(), then the whole decode, then torch.cuda.synchronize() and "
"time.perf_counter() again. The timed span contains prompt prefill, every judge, drafter, re-draft and KV-flush forward, and sampling; "
"it excludes tokenisation (encode_prompt), scoring, trace saving and writing the record (code/draftalign/run_da_decode.py). "
"The per-forward component times (ms_by_kind, drafter_ms_by_kind, SeqCache._timed in code/draftalign/seqcache.py) also synchronize "
"before and after each forward, identically in every setup. There are no busy-polling loops, CUDA-event polling or sleeps in the timed path. "
"Wall in Tables 0 and 1 is the run's start-to-done time from logs/phase3/run.log, model load included.
Rebuild this page from the report numbers:
python logs/phase3/extrap/final_report.py\n"
"python logs/phase3/extrap/build_final.py results/phase3/final_numbers.json results/phase3/REPORT.md logs/phase3/extrap/phase3_redraft.html")
FM = [
("logs/phase3/run.log", "logs/phase3/run.log", "start / done / skip / pause lines of the whole run (UTC, time of day only)."),
("logs/phase3/decode/rd1/<benchmark>/, decode/rd2/<benchmark>/", "logs/phase3/decode/rd1", "rd1 and rd2: one JSON record per item (*.jsonl, one file per shard), .jsonl.done shard markers, .complete when every shard finished."),
("logs/phase3/decode/judge/<benchmark>/", "logs/phase3/decode/judge", "base pipeline (SDAR-1.7B drafter + trained 128M judge), full-set runs."),
("logs/phase3/decode/judge_sample/<benchmark>/", "logs/phase3/decode/judge_sample", "base pipeline on the first items only (the benchmarks the run was stopped before)."),
("logs/phase3/jobs/<setup>/<benchmark>/", "logs/phase3/jobs", "stdout of every shard process (shardK.attemptN.log)."),
("logs/phase3/setup/", "logs/phase3/setup", "setup checks: checks.json, tests.log, check_stock/, check_judge/ (identity checks against the Phase 1 records)."),
("logs/phase3/analysis/, analysis.log, analysis_snapshot.log", "logs/phase3/analysis", "output of code/phase3/analyze_p3.py (TABLE.md, metrics.json)."),
("logs/phase3/extrap/", "logs/phase3/extrap", "final_report.py (the report and final_numbers.json), build_final.py and final_template.html (this page), extrap.py, status.py, unified.py, build_artifact.py (the live page while the run was going), p2_metrics.json (Phase 2 page metrics), and the shell scripts that ordered the run."),
("logs/phase3/backup.log, snapshot.log, switch.log", "logs/phase3/backup.log", "backup uploads, the periodic snapshot loop, and the run-order switches."),
("logs/phase3/STOP", "logs/phase3/STOP", "empty marker file: the stop signal, checked by run_p3.sh before it starts the next benchmark."),
("logs/phase3/STOPPED_setup_tests.md", "logs/phase3/STOPPED_setup_tests.md", "note from the first stop, at setup, before any decoding (two CPU tests failed on a missing drafter field in their fake arguments); the run was resumed afterwards."),
("results/phase3/", "results/phase3", "REPORT.md and final_numbers.json (this page's source), TABLE.md, metrics.json, EXTRAPOLATION_PHASE1_BOX.md, RESUME.md, setup_checks.json."),
("code/phase3/", "code/phase3", "run_p3.sh (the driver), setup_p3.sh, analyze_p3.py, backup_p3.py, README.md (method), extrap/ (copies of the page and report scripts)."),
("code/draftalign/", "code/draftalign", "the decoder: run_da_decode.py (runner), da_decode.py (decode loop, timing, records), seqcache.py (per-forward timers), drafter.py."),
("weights/c1b_128M/ (Hugging Face dataset)", None, "the trained 128M judge LoRA adapter used by every setup (weights hash 35805974)."),
("ref/phase2/S0_128M_nopool_by_set/ (Hugging Face dataset)", None, "the Phase 1 box's base-pipeline per-item records, used as the reference for token identity and for the Phase 1 box tokens per second."),
]
filemap = []
for disp, chk, desc in FM:
if chk is not None and not os.path.exists(chk): print(f"WARNING: file map path missing: {chk}", file=sys.stderr); continue
filemap.append(f"{disp}