code: def __init__(
      self, combination_layer, transform_module, normalization
  ):
      super().__init__()
      self.combination_layer = combination_layer
      self.normalization = normalization
      self.transform = transform_module
      self.out_dim = self.transform.out_dim
  
imports: import math
  from typing import Optional, Tuple, Type
  import torch
  from mmf.modules.layers import GatedTanh, ModalCombineLayer, TransformLayer
  from torch import nn
label_desc: Use image node_id 1 to create a new TopDownAttention object from inherited base classes: nn with example: obj = TopDownAttention(combination_layer, transform_module, normalization)