code: def __init__(self, mean, std):
      super(Normalize, self).__init__()
      self.mean = paddle.to_tensor(mean)
      self.std = paddle.to_tensor(std)
  
imports: import math
  import numbers
  import warnings
  from enum import Enum
  from typing import Any
  from typing import Dict
  from typing import List
  from typing import Optional
  from typing import Sequence
  from typing import Tuple
  from typing import Union
  import paddle
  import paddle.nn
  from paddle import Tensor
  from paddle.nn import functional
  from paddle.nn.functional import grid_sample
  from paddle.vision import transforms
label_desc: Use image node_id 1 to create a new Normalize object from inherited base classes: nn with example: obj = Normalize(mean, std)