code: def __init__(self, dim_model):
      super(HaltingUnit, self).__init__()
      self.linear = nn.Linear(dim_model, 1)
      self.norm = LayerNorm(dim_model)
      INIT.constant_(self.linear.bias, self.halting_bias_init)
  
imports: from .attention import *
  from .layers import *
  from .functions import *
  from .embedding import *
  import dgl.function
  import torch
  import torch.nn.init
label_desc: Use image node_id 1 to create a new HaltingUnit object from inherited base classes: nn with example: obj = HaltingUnit(dim_model)