code: def __init__(
      self,
      eps: float = 1e-5,
      rescale_loss: bool = True,
  ) -> None:
      self._buffers = {
          "offset": None,
          "scale": None,
      }
      self.eps = eps
      self.rescale_loss = rescale_loss
  
imports: from typing import TYPE_CHECKING, Optional
  import torch
  from torch import Tensor, BoolTensor
  from torch.nn import functional
label_desc: Use image node_id 1 to create a new ZScoreNormalizer object from inherited base classes: object with example: obj = ZScoreNormalizer(eps, rescale_loss)