code: def forward(self, x):
      norm = (
          x.pow(self.power)
          .sum(self.dim, keepdim=True)
          .pow(1.0 / self.power)
      )
      out = x.div(norm)
      return out
  
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 2 for calling the Normalize obj's underlying member method code with example usage: obj.forward(x) and returns: out