Download scripts/run_eval_audit.py from jlai300/FitGround: direct link, hf CLI and curl.
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https://huggingface.co/datasets/jlai300/FitGround/resolve/main/scripts/run_eval_audit.py
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hf download hf://datasets/jlai300/FitGround/scripts/run_eval_audit.py
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curl -L -o run_eval_audit.py https://huggingface.co/datasets/jlai300/FitGround/resolve/main/scripts/run_eval_audit.py
1.9 kB
| #!/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() | |