Buckets:
| """Replay one failed OPD query with phase progress and a bounded continuation.""" | |
| import argparse | |
| import faulthandler | |
| import json | |
| from pathlib import Path | |
| import time | |
| import torch | |
| from opd.config import load_config | |
| from opd.contracts import VerifierInput | |
| from opd.rollout_artifacts import save_rollout | |
| from opd.trainer import _build_rollout_runtime, _rollout_sampling_seed | |
| from opd.verifier import build_verifier, evaluate_verifier | |
| from shared.artifacts import claim_run_directory, seed_everything, write_json | |
| from shared.data import PackedTrajectoryCache, answer_reference | |
| from shared.modeling import load_model, load_processor | |
| def main(): | |
| parser = argparse.ArgumentParser(description=__doc__) | |
| parser.add_argument("--config", required=True) | |
| parser.add_argument("--checkpoint", required=True) | |
| parser.add_argument("--output-dir", required=True) | |
| parser.add_argument("--sample-index", type=int, default=4834) | |
| parser.add_argument("--query-update", type=int, default=72) | |
| args = parser.parse_args() | |
| root = Path(args.output_dir) | |
| claim_run_directory(root, resume=(root / ".run-claim.json").exists()) | |
| if (root / "result.json").exists(): | |
| print((root / "result.json").read_text(), flush=True) | |
| return | |
| config = load_config(args.config) | |
| config.checkpoint.resume_from = args.checkpoint | |
| seed_everything(config.run.seed) | |
| torch.cuda.set_device(0) | |
| torch.backends.cuda.matmul.allow_tf32 = config.trainer.tf32 | |
| processor = load_processor(config.model.path) | |
| model = load_model(config, torch.device("cuda", 0), for_training=True).eval() | |
| cache = PackedTrajectoryCache(config.data.cache_root) | |
| item = cache.load(args.sample_index) | |
| controller = _build_rollout_runtime(model, processor, config) | |
| started = time.monotonic() | |
| last = {"time": 0., "phase": None} | |
| def progress(**payload): | |
| now = time.monotonic() | |
| if payload["phase"] != last["phase"] or now - last["time"] > 5: | |
| payload["seconds"] = now - started | |
| write_json(root / "progress.json", payload) | |
| print("OPD_GENERATION_PROBE " + json.dumps(payload), flush=True) | |
| last.update(time=now, phase=payload["phase"]) | |
| faulthandler.dump_traceback_later(180) | |
| controller.backend.progress_callback = progress | |
| try: | |
| faulthandler.dump_traceback_later(180) | |
| rollout = controller.collect(args.sample_index, item, sampling_seed=_rollout_sampling_seed(config, phase="train", update=args.query_update, sample_id=cache.sample_id(args.sample_index))) | |
| save_rollout(root / "rollout", rollout, processor.tokenizer) | |
| correct = False | |
| if rollout.protocol_valid and rollout.has_scored_window: | |
| verifier = build_verifier(config.verifier, processor.tokenizer) | |
| correct = evaluate_verifier(verifier, VerifierInput.from_rollout(rollout, reference=answer_reference(item)), timeout_seconds=config.verifier.timeout_seconds) | |
| result = { | |
| "sample_index": args.sample_index, "sample_id": rollout.sample_id, | |
| "stop_reason": rollout.stop_reason, "protocol_valid": rollout.protocol_valid, | |
| "correct": bool(correct), "generated_tokens": rollout.input_ids.numel()-rollout.prefix_length, | |
| "max_generated_tokens": config.rollout.max_generated_tokens, | |
| "seconds": time.monotonic()-started, | |
| } | |
| if result["generated_tokens"] > config.rollout.max_generated_tokens: | |
| raise RuntimeError("generated continuation exceeded configured cap") | |
| write_json(root / "result.json", result) | |
| print("OPD_GENERATION_PROBE_COMPLETE " + json.dumps(result), flush=True) | |
| finally: | |
| faulthandler.cancel_dump_traceback_later() | |
| if __name__ == "__main__": | |
| main() | |
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