| """Dataset utility functions.""" | |
| from typing import Tuple | |
| import torch | |
| from src.utils.logging_util import LoggingUtils | |
| logger = LoggingUtils.configure_logger(log_name=__name__) | |
| def map_tensor_range( | |
| tensor: torch.Tensor, | |
| in_range: Tuple[float, float], | |
| out_range: Tuple[float, float] | |
| ) -> torch.Tensor: | |
| """ | |
| Linearly map a tensor from in_range [a, b] to out_range [c, d]. | |
| """ | |
| a, b = in_range | |
| c, d = out_range | |
| a, b, c, d = float(a), float(b), float(c), float(d) | |
| return ((tensor - a) / (b - a)) * (d - c) + c |