"""Inventory and integrity-check the Orbax checkpoints written by a pi0.5 training run. python3 scripts/check_checkpoints.py /data/checkpoints/pi05_g1_pickplace/pickplace_full_v1 Pure stdlib, no GPU, no JAX -- safe to run while training still holds the A100. It answers the questions you cannot answer from `ls` alone: * which steps exist, and which are resumable (train_state present) vs params-only (pruned) * whether any save is INCOMPLETE -- an aborted or in-flight write leaves a `.orbax-checkpoint-tmp-*` directory, or a step dir with no commit marker * whether `assets/norm_stats.json` is present, because a checkpoint without it serves garbage actions while looking perfectly healthy * zero-byte files, which is what a checkpoint written into a full disk looks like Exit code is 0 only if every complete checkpoint passes. `--json` emits machine-readable output. """ import argparse import json import pathlib import sys # Orbax drops one of these in a step directory once the write has been committed. Which one # depends on the version, so presence of ANY is treated as "committed". COMMIT_MARKERS = ("commit_success.txt", "_CHECKPOINT_METADATA", "_METADATA") GIB = 1024**3 def human(n: int) -> str: """Adaptive units -- a 12.5 GiB params dir and a 4 KiB assets dir both need to read.""" for unit, div in (("T", 1024**4), ("G", GIB), ("M", 1024**2), ("K", 1024)): if n >= div: return f"{n / div:.1f}{unit}" return f"{n}B" def dir_stats(path: pathlib.Path) -> tuple[int, int, int]: """(total bytes, file count, zero-byte file count) over a directory tree.""" total = files = empty = 0 for f in path.rglob("*"): if not f.is_file(): continue try: size = f.stat().st_size except OSError: continue total += size files += 1 empty += size == 0 return total, files, empty def inspect(step_dir: pathlib.Path) -> dict: r: dict = {"step": int(step_dir.name), "path": str(step_dir), "problems": []} r["committed"] = any((step_dir / m).exists() for m in COMMIT_MARKERS) or any( (step_dir / sub / m).exists() for sub in ("params",) for m in COMMIT_MARKERS ) for sub in ("params", "train_state", "assets"): d = step_dir / sub if d.is_dir(): size, files, empty = dir_stats(d) r[sub] = {"bytes": size, "files": files, "empty_files": empty} if empty: r["problems"].append(f"{sub}/ has {empty} zero-byte file(s) -- disk full?") if files == 0: r["problems"].append(f"{sub}/ exists but is empty") else: r[sub] = None if r["params"] is None: r["problems"].append("no params/ -- nothing deployable here") # assets/ carries norm_stats.json. Without it the policy denormalises with the wrong # statistics and the robot does nothing while every log looks fine. hits = list((step_dir / "assets").rglob("norm_stats.json")) if (step_dir / "assets").is_dir() else [] r["norm_stats"] = str(hits[0].relative_to(step_dir)) if hits else None if not hits: r["problems"].append("no assets/**/norm_stats.json -- served policy would emit garbage") r["resumable"] = r["train_state"] is not None return r def main() -> int: ap = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter) ap.add_argument("root", type=pathlib.Path, help="the exp directory, e.g. .../pickplace_full_v1") ap.add_argument("--frames", type=int, default=161_440, help="dataset frames, for the epoch column") ap.add_argument("--batch-size", type=int, default=32) ap.add_argument("--json", action="store_true") a = ap.parse_args() if not a.root.is_dir(): print(f"FAIL: {a.root} is not a directory", file=sys.stderr) return 2 partial = sorted({p.name for p in a.root.glob("*orbax-checkpoint-tmp-*")}) steps = sorted((p for p in a.root.iterdir() if p.is_dir() and p.name.isdigit()), key=lambda p: int(p.name)) if not steps and not partial: print(f"No checkpoints in {a.root} yet.") return 0 rows = [inspect(s) for s in steps] spe = a.frames / a.batch_size # steps per epoch if a.json: print(json.dumps({"root": str(a.root), "in_flight": partial, "checkpoints": rows}, indent=2)) else: print(f"{a.root}\n") hdr = f"{'step':>7} {'epoch':>5} {'params':>8} {'tstate':>8} {'norm_stats':>10} state" print(hdr) print("-" * len(hdr)) for r in rows: p = human(r["params"]["bytes"]) if r["params"] else "--" t = human(r["train_state"]["bytes"]) if r["train_state"] else "--" n = "yes" if r["norm_stats"] else "NO" state = "resumable" if r["resumable"] else "params only" if r["problems"]: state = "PROBLEM" print(f"{r['step']:>7} {r['step']/spe:>5.2f} {p:>8} {t:>8} {n:>10} {state}") total = sum((r["params"]["bytes"] if r["params"] else 0) + (r["train_state"]["bytes"] if r["train_state"] else 0) for r in rows) print(f"\n{len(rows)} checkpoint(s), {human(total)} total") if partial: print(f"\n{len(partial)} save(s) IN FLIGHT or aborted (Orbax temp dirs):") for p in partial: print(f" {p}") print(" A save in progress is normal. One that persists after training exits is not --") print(" delete it, that step never committed.") uncommitted = [r["step"] for r in rows if not r["committed"]] if uncommitted: print(f"\nNOTE: no commit marker found for step(s) {uncommitted}. Orbax layout varies by") print("version, so this is weak evidence on its own -- trust the load test instead.") bad = [r for r in rows if r["problems"]] if bad: print("\nPROBLEMS") for r in bad: for p in r["problems"]: print(f" step {r['step']}: {p}") else: print("\nAll checkpoints structurally OK. Structure is not the same as loadable --") print("run the load test in the runbook (Step 11.1) on at least one of them.") return 1 if any(r["problems"] for r in rows) else 0 if __name__ == "__main__": sys.exit(main())