Files
aituner/runs/frontier-qwen30-vllm020-profile-v1/prepare_s2_profile_comparison.py

134 lines
4.8 KiB
Python

#!/usr/bin/env python3
"""Prepare the 92 frozen S2-R-b probes with a replacement profile bundle."""
from __future__ import annotations
import argparse
import hashlib
import json
from pathlib import Path
from typing import Any
PROFILE_KEYS = {
"linear_op_input_file": "linear_op.csv",
"atten_input_file": "attention.csv",
"moe_input_file": "moe.csv",
}
def sha256(path: Path) -> str:
digest = hashlib.sha256()
with path.open("rb") as handle:
for chunk in iter(lambda: handle.read(1 << 20), b""):
digest.update(chunk)
return digest.hexdigest()
def write_json(path: Path, payload: Any) -> None:
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(json.dumps(payload, indent=2, sort_keys=True) + "\n")
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser()
parser.add_argument("--resolved-plan", type=Path, required=True)
parser.add_argument("--output", type=Path, required=True)
parser.add_argument("--profile-root", type=Path, required=True)
parser.add_argument("--cache-root", type=Path)
parser.add_argument("--shards", type=int, default=1)
return parser.parse_args()
def main() -> None:
args = parse_args()
if args.shards < 1:
raise SystemExit("--shards must be positive")
source = json.loads(args.resolved_plan.read_text())
source_rows = [row for row in source["runs"] if row["mode"] == "uncalibrated"]
if len(source_rows) != 92:
raise SystemExit(f"expected 92 uncalibrated probes, found {len(source_rows)}")
output = args.output.resolve()
profile_root = args.profile_root.resolve()
cache_root = (args.cache_root or (output / "prediction-cache")).resolve()
profile_hashes: dict[str, str] = {}
for filename in PROFILE_KEYS.values():
path = profile_root / filename
if not path.is_file():
raise SystemExit(f"missing frozen profile: {path}")
profile_hashes[str(path)] = sha256(path)
entries: list[dict[str, Any]] = []
for row in source_rows:
fixture_dir = Path(row["fixture_dir"]).resolve()
fixture_manifest_path = fixture_dir / "fixture_manifest.json"
fixture = json.loads(fixture_manifest_path.read_text())
config = json.loads(Path(row["config_path"]).read_text())
config["mode"] = "new-profile-only"
config["config_id"] = f"{row['cell_id']}__new-profile-only"
config["calibration"]["a_tp"] = 1.0
knobs = config["frontier"]["knobs"]
knobs["cache_dir"] = str(cache_root)
knobs["no_cache"] = False
for key, filename in PROFILE_KEYS.items():
knobs[key] = str(profile_root / filename)
target_config = output / "configs" / f"{row['fixture_id']}.json"
write_json(target_config, config)
entries.append(
{
"fixture_id": row["fixture_id"],
"cell": row["cell_id"],
"role": f"probe-{int(row['probe_index']):02d}",
"anchor": float(row["sampling_u"]),
"selected_count": int(row["request_count"]),
"probe_index": int(row["probe_index"]),
"sampling_u": float(row["sampling_u"]),
"tensor_parallel_size": int(row["tensor_parallel_size"]),
"config": str(target_config),
"fixture_manifest": str(fixture_manifest_path),
"frontier_csv": str(fixture_dir / "frontier.csv"),
"sidecar": str(fixture_dir / "sidecar.jsonl"),
"calibration_scale": 1.0,
"request_count": int(fixture["request_count"]),
}
)
base = {
"schema": "frontier-qwen30-s2-profile-comparison-prepared.v1",
"status": "PASS",
"mode": "new-profile-only",
"source": {
"resolved_plan": str(args.resolved_plan.resolve()),
"sha256": sha256(args.resolved_plan),
},
"profile_hashes": profile_hashes,
"isolation": {
"calibration_a_tp": 1.0,
"prediction_cache": str(cache_root),
"all_non_profile_knobs_inherited": True,
},
"suite_total_runs": len(entries),
}
write_json(
output / "prepared-manifest.json",
{**base, "expected_runs": len(entries), "entries": entries},
)
for shard in range(args.shards):
shard_entries = entries[shard :: args.shards]
write_json(
output / f"prepared-manifest-shard-{shard:02d}-of-{args.shards:02d}.json",
{
**base,
"shard": {"index": shard, "count": args.shards},
"expected_runs": len(shard_entries),
"entries": shard_entries,
},
)
print(output / "prepared-manifest.json")
if __name__ == "__main__":
main()