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fbd4e33 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 | #!/usr/bin/env python3
"""Generate sharded lane specs for a calibration sweep.
A 27-condition sweep (samples x sequence length x damping) does not fit in one
Kaggle session, and a single spec cannot be resumed per shard. This writes N
specs, each with its own lane name, so a shard that finishes stays finished.
Usage:
python scripts/make_sweep_spec.py \
--base lanes/clean-suite-08b.json \
--out-dir lanes \
--name robustness-08b \
--corpus data/calibration_mixed_en_ja_dedup.txt \
--samples 16 32 64 \
--seq 128 256 512 \
--damping 1e-4 1e-3 1e-2 \
--shards 3
"""
from __future__ import annotations
import argparse
import copy
import json
from pathlib import Path
def condition_name(samples: int, seq: int, damping: float) -> str:
text = f"{damping:.0e}".replace("e-0", "e-").replace("e+0", "e")
return f"s{samples}_q{seq}_d{text}"
def build_conditions(samples: list[int], seqs: list[int], dampings: list[float], corpus: str) -> list[dict]:
conditions = []
for sample_count in samples:
for seq in seqs:
for damping in dampings:
conditions.append(
{
"name": condition_name(sample_count, seq, damping),
"calibration_corpus": corpus,
"samples": sample_count,
"max_tokens": seq,
"damping": damping,
}
)
return conditions
def make_specs(base: dict, conditions: list[dict], shards: int, name: str) -> list[dict]:
specs = []
for index in range(shards):
spec = copy.deepcopy(base)
shard_conditions = [condition for position, condition in enumerate(conditions) if position % shards == index]
spec["lane"] = f"{name}-shard{index + 1}of{shards}"
spec["conditions"] = shard_conditions
spec.pop("merge", None)
specs.append(spec)
return specs
def validate(specs: list[dict], conditions: list[dict]) -> list[str]:
problems = []
seen: list[str] = []
for spec in specs:
for condition in spec["conditions"]:
if condition["name"] in seen:
problems.append(f"duplicate condition: {condition['name']}")
seen.append(condition["name"])
missing = {condition["name"] for condition in conditions} - set(seen)
if missing:
problems.append(f"missing conditions: {sorted(missing)[:5]}")
return problems
def main() -> None:
parser = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter)
parser.add_argument("--base", type=Path, default=Path("lanes/clean-suite-08b.json"))
parser.add_argument("--out-dir", type=Path, default=Path("lanes"))
parser.add_argument("--name", default="robustness-08b")
parser.add_argument("--corpus", default="data/calibration_mixed_en_ja_dedup.txt")
parser.add_argument("--samples", type=int, nargs="+", default=[16, 32, 64])
parser.add_argument("--seq", type=int, nargs="+", default=[128, 256, 512])
parser.add_argument("--damping", type=float, nargs="+", default=[1e-4, 1e-3, 1e-2])
parser.add_argument("--shards", type=int, default=3)
parser.add_argument("--dry-run", action="store_true")
args = parser.parse_args()
base = json.loads(args.base.read_text(encoding="utf-8"))
conditions = build_conditions(args.samples, args.seq, args.damping, args.corpus)
specs = make_specs(base, conditions, args.shards, args.name)
# per-spec eval max_tokens must follow that spec's conditions
for spec in specs:
seqs = {condition["max_tokens"] for condition in spec["conditions"]}
if len(seqs) == 1:
spec["eval"]["max_tokens"] = seqs.pop()
problems = validate(specs, conditions)
total = sum(len(spec["conditions"]) for spec in specs)
print(f"conditions: {total} in {len(specs)} shards ({[len(s['conditions']) for s in specs]})")
if problems:
print("PROBLEMS")
for problem in problems:
print(f" - {problem}")
raise SystemExit(1)
args.out_dir.mkdir(parents=True, exist_ok=True)
for spec in specs:
path = args.out_dir / f"{spec['lane']}.json"
print(f" {path} ({len(spec['conditions'])} conditions)")
if not args.dry_run:
path.write_text(json.dumps(spec, indent=2, ensure_ascii=False) + "\n", encoding="utf-8")
if __name__ == "__main__":
main()
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