code: def check_raw(self, tensor) -> bool:
      return bool(
          torch.all((self.transform(tensor) <= self.upper_bound))
          and torch.all(self.transform(tensor) >= self.lower_bound)
      )
  
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 6 for calling the Interval obj's underlying member method code with example usage: obj.check_raw(tensor) and returns: bool