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db32e07 | 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 | import torch
import sys
from pathlib import Path
path = Path("out/stage2/perceiver.pt")
if not path.exists():
print(f"{path} does not exist.")
sys.exit(1)
print(f"Loading {path}...")
state = torch.load(path, map_location="cpu")
print("Checking parameters...")
has_nan = False
has_inf = False
all_zeros = False
for k, v in state.items():
if torch.isnan(v).any():
print(f"NAN found in {k}")
has_nan = True
if torch.isinf(v).any():
print(f"INF found in {k}")
has_inf = True
if (v == 0).all():
print(f"ALL ZEROS in {k}")
all_zeros = True
# print stats
print(f"{k}: mean={v.mean().item():.4f}, std={v.std().item():.4f}")
if has_nan or has_inf:
print("FATAL: Model weights contain NaN or Inf.")
elif all_zeros:
print("WARNING: Some layers are all zeros.")
else:
print("Weights look healthy (no NaN/Inf).")
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