code: def __init__(self, power=2, dim=1):
      super(Normalize, self).__init__()
      self.dim = dim
      self.power = power
  
imports: import math
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  import slowfast.models.losses
  import slowfast.utils.distributed
  import slowfast.utils.logging
  from slowfast.models.video_model_builder import X3D, MViT, ResNet, SlowFast
  from .build import MODEL_REGISTRY
label_desc: Use image node_id 1 to create a new Normalize object from inherited base classes: nn with example: obj = Normalize(power, dim)