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| import numpy as np | |
| import torch | |
| def np2th(ndarray): | |
| if isinstance(ndarray, torch.Tensor): | |
| return ndarray.detach().cpu() | |
| elif isinstance(ndarray, np.ndarray): | |
| return torch.tensor(ndarray).float() | |
| else: | |
| raise ValueError("Input should be either torch.Tensor or np.ndarray") | |