Download scripts/check_checkpoints.py from simpk/single_pickplace: direct link, hf CLI and curl.
- Browser
- Download file 6.46 kB
-
https://huggingface.co/datasets/simpk/single_pickplace/resolve/main/scripts/check_checkpoints.py
- Command line
-
hf download hf://datasets/simpk/single_pickplace/scripts/check_checkpoints.py
-
curl -L -o check_checkpoints.py https://huggingface.co/datasets/simpk/single_pickplace/resolve/main/scripts/check_checkpoints.py
6.46 kB
| """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()) | |