File size: 3,378 Bytes
00c55c8 | 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 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 | from __future__ import annotations
import argparse
import json
from pathlib import Path
REPO_ROOT = Path(__file__).resolve().parents[1]
DEFAULT_CHECKPOINT = REPO_ROOT / "checkpoints" / "29999"
ASSET_ID = "real_piper_x_6tasks"
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser(
description=(
"Validate the released StreamPI Piper-X 20k "
"deployment checkpoint."
)
)
parser.add_argument(
"--checkpoint",
type=Path,
default=DEFAULT_CHECKPOINT,
help="Checkpoint directory. Default: checkpoints/29999",
)
return parser.parse_args()
def directory_size(path: Path) -> int:
total = 0
for item in path.rglob("*"):
if item.is_file():
total += item.stat().st_size
return total
def main() -> None:
args = parse_args()
checkpoint = args.checkpoint.expanduser().resolve()
required_files = (
checkpoint / "params" / "_METADATA",
checkpoint / "params" / "_sharding",
checkpoint / "params" / "manifest.ocdbt",
checkpoint
/ "assets"
/ ASSET_ID
/ "norm_stats.json",
)
missing = [
path for path in required_files
if not path.is_file()
]
if missing:
details = "\n".join(
f" - {path}" for path in missing
)
raise FileNotFoundError(
"Missing deployment checkpoint files:\n"
+ details
)
forbidden_paths = (
checkpoint / "train_state",
checkpoint / "optimizer",
)
unexpected = [
path for path in forbidden_paths
if path.exists()
]
if unexpected:
details = "\n".join(
f" - {path}" for path in unexpected
)
raise RuntimeError(
"Training-only artifacts remain in the "
"deployment checkpoint:\n"
+ details
)
norm_path = (
checkpoint
/ "assets"
/ ASSET_ID
/ "norm_stats.json"
)
with norm_path.open("r", encoding="utf-8") as stream:
norm_stats = json.load(stream)
if not isinstance(norm_stats, dict) or not norm_stats:
raise ValueError(
f"Invalid or empty norm stats: {norm_path}"
)
parameter_files = [
path
for path in (checkpoint / "params").rglob("*")
if path.is_file()
]
if not parameter_files:
raise RuntimeError(
f"No parameter files found under {checkpoint / 'params'}"
)
symlinks = [
path
for path in checkpoint.rglob("*")
if path.is_symlink()
]
if symlinks:
details = "\n".join(
f" - {path}" for path in symlinks
)
raise RuntimeError(
"Deployment checkpoint contains symbolic links:\n"
+ details
)
for required in required_files:
print(
"OK:",
required.relative_to(checkpoint),
)
print(f"checkpoint={checkpoint}")
print(f"parameter_files={len(parameter_files)}")
print(f"checkpoint_bytes={directory_size(checkpoint)}")
print(f"norm_stat_keys={sorted(norm_stats)}")
print("train_state_present=false")
print("symlink_count=0")
print("CHECKPOINT_STRUCTURE_OK")
if __name__ == "__main__":
main()
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