code: def __init__(self, dim: int, num_attn: int, dropout: float):
      super().__init__()
      self.multi_head_attn = MovieMcanMultiHeadAttention(
          dim, num_attn, dropout=0.1
      )
      self.fcn = nn.Sequential(
          nn.Linear(dim, 4 * dim),
          nn.ReLU(inplace=True),
          nn.Dropout(p=dropout),
          nn.Linear(4 * dim, dim),
      )
      self.drop_mha = nn.Dropout(p=dropout)
      self.ln_mha = nn.LayerNorm(dim)
      self.drop_fcn = nn.Dropout(p=dropout)
      self.ln_fcn = nn.LayerNorm(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 SelfAttention object from inherited base classes: nn with example: obj = SelfAttention(dim, num_attn, dropout)