code: def __init__(self, dim, dtype=torch.float, eps=1e-5):
      super(Normalize, self).__init__()
      self.norm = (
          nn.LayerNorm(dim, eps=eps)
          .to(dtype)
          .to(torch.cuda.current_device())
      )
      self.weight = self.norm.weight
      self.bias = self.norm.bias
  
imports: import torch
  from deepspeed import comm
  from torch import nn
  from torch.nn import functional
  from torch.nn.parameter import Parameter
label_desc: Use image node_id 1 to create a new Normalize object from inherited base classes: nn with example: obj = Normalize(dim, dtype, eps)