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2559788 | 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 | #!/usr/bin/env python3
"""Run bounded-memory eval-only FIT audit (no downloads)."""
import argparse
import json
import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).resolve().parents[1] / "src"))
from fitground.data.eval_checkpoint import EvalCheckpointManager
from fitground.data.eval_pipeline import finalize_manifest, run_eval_pipeline
from fitground.data.memory import MemoryTracker, current_rss_bytes
def main() -> None:
parser = argparse.ArgumentParser(description="Bounded-memory FIT eval audit")
parser.add_argument("--batch-size", type=int, default=8)
parser.add_argument("--shard-limit", type=int, default=None)
parser.add_argument("--max-rows-per-shard", type=int, default=None)
parser.add_argument("--resume", action=argparse.BooleanOptionalAction, default=True)
parser.add_argument("--process-only", action="store_true", help="Checkpoint shards only")
parser.add_argument("--finalize-only", action="store_true", help="Assemble from checkpoints")
parser.add_argument("--memory-test", action="store_true", help="1 shard, 8 rows, batch=4")
args = parser.parse_args()
if args.memory_test:
args.shard_limit = 1
args.max_rows_per_shard = 8
args.batch_size = 4
args.process_only = True
if args.finalize_only:
ckpt = EvalCheckpointManager()
tracker = MemoryTracker()
result = finalize_manifest(ckpt, tracker)
else:
result = run_eval_pipeline(
batch_size=args.batch_size,
shard_limit=args.shard_limit,
max_rows_per_shard=args.max_rows_per_shard,
resume=args.resume,
finalize=not args.process_only,
process_only=args.process_only,
)
result["rss_bytes_at_exit"] = current_rss_bytes()
print(json.dumps(result, indent=2, default=str))
if __name__ == "__main__":
main()
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