code: def __init__(self, mean: float, std: float, device: torch.device):
      super().__init__()
      self.mean = torch.as_tensor(mean).reshape(1, 3, 1, 1).to(device)
      self.std = torch.as_tensor(std).reshape(1, 3, 1, 1).to(device)
  
imports: import torch
  from numpy import ndarray
  from torch import Tensor
  from typing import Tuple
  from collections import namedtuple
label_desc: Use image node_id 1 to create a new NormalizeTensor object from inherited base classes: EvalTransform with example: obj = NormalizeTensor(mean, std, device)