| import argparse |
| import os |
| import torch |
| from safetensors.torch import load_file |
|
|
|
|
| def main(file): |
| print(f"loading: {file}") |
| if os.path.splitext(file)[1] == '.safetensors': |
| sd = load_file(file) |
| else: |
| sd = torch.load(file, map_location='cpu') |
|
|
| values = [] |
|
|
| keys = list(sd.keys()) |
| for key in keys: |
| if 'lora_up' in key or 'lora_down' in key: |
| values.append((key, sd[key])) |
| print(f"number of LoRA modules: {len(values)}") |
|
|
| for key, value in values: |
| value = value.to(torch.float32) |
| print(f"{key},{str(tuple(value.size())).replace(', ', '-')},{torch.mean(torch.abs(value))},{torch.min(torch.abs(value))}") |
|
|
|
|
| def setup_parser() -> argparse.ArgumentParser: |
| parser = argparse.ArgumentParser() |
| parser.add_argument("file", type=str, help="model file to check / 重みを確認するモデルファイル") |
|
|
| return parser |
|
|
|
|
| if __name__ == '__main__': |
| parser = setup_parser() |
|
|
| args = parser.parse_args() |
|
|
| main(args.file) |
|
|
