docstr: Applies the inverse transformation.
code: def inverse_transform(self, transformed_tensor: Tensor) -> Tensor:
      """
      Applies the inverse transformation.
      """
      if not self.enforced:
          return transformed_tensor
  
      tensor = self._inv_transform(
          (transformed_tensor - self.lower_bound)
          / (self.upper_bound - self.lower_bound)
      )
  
      return tensor
  
imports: from __future__ import annotations
  import math
  from typing import Optional
  import torch
  from torch import sigmoid, Tensor
  from torch.nn import Module
  from ..utils.transforms import _get_inv_param_transform, inv_sigmoid, inv_softplus
label_desc: Use image node_id 9 for calling the Interval obj's underlying member method code with example usage: obj.inverse_transform(transformed_tensor) and returns: tensor, transformed_tensor