(x)
| 13 | |
| 14 | |
| 15 | def WalkDict(x): |
| 16 | for i in x: |
| 17 | if isinstance(x[i], dict): |
| 18 | WalkDict(x[i]) |
| 19 | elif isinstance(x[i], torch.Tensor): |
| 20 | print(f"Converting '{i}' from 'torch.Tensor' to 'numpy.ndarray'.") |
| 21 | npy = x[i].cpu().numpy() |
| 22 | if any([f".{layer}.weight" in i for layer in linear_layer]): |
| 23 | print(f"Transposing linear layer weight '{i}'.") |
| 24 | x[i] = npy.T |
| 25 | else: |
| 26 | x[i] = npy |
| 27 | |
| 28 | |
| 29 | def parse_opt(): |