code: def __init__(
      self,
      hidden_size1: int,
      hidden_size2: int,
      combined_hidden_size: int,
      intermediate_size1: int,
      intermediate_size2: int,
      num_attention_heads: int,
      dropout1: float,
      dropout2: float,
      activation: str,
  ):
      super().__init__()
      self.bimodal_attention = BiModalAttention(
          hidden_size1=hidden_size1,
          hidden_size2=hidden_size2,
          combined_hidden_size=combined_hidden_size,
          num_attention_heads=num_attention_heads,
          dropout1=dropout1,
          dropout2=dropout2,
      )
  
      self.bimodal_output = BiModalOutput(
          hidden_size1=hidden_size1,
          hidden_size2=hidden_size2,
          combined_hidden_size=combined_hidden_size,
          dropout1=dropout1,
          dropout2=dropout2,
      )
  
      self.intermediate1 = ActivationLayer(
          hidden_size=hidden_size1,
          intermediate_size=intermediate_size1,
          activation=activation,
      )
      self.output1 = OutputLayer(
          hidden_size=hidden_size1,
          input_size=intermediate_size1,
          dropout=dropout1,
      )
  
      self.intermediate2 = ActivationLayer(
          hidden_size=hidden_size2,
          intermediate_size=intermediate_size2,
          activation=activation,
      )
      self.output2 = OutputLayer(
          hidden_size=hidden_size2,
          input_size=intermediate_size2,
          dropout=dropout2,
      )
  
file_path: allennlp/allennlp/modules/transformer/bimodal_connection_layer.py
imports: from allennlp.common import FromParams
  from allennlp.modules.transformer.activation_layer import ActivationLayer
  from allennlp.modules.transformer.output_layer import OutputLayer
  from allennlp.modules.transformer.bimodal_attention import BiModalAttention
  from allennlp.modules.transformer.transformer_module import TransformerModule
label_desc: Use image node_id 1 to create a new BiModalConnectionLayer object from inherited base classes: TransformerModule, FromParams with example: obj = BiModalConnectionLayer(hidden_size1, hidden_size2, combined_hidden_size, intermediate_size1, intermediate_size2, num_attention_heads, dropout1, dropout2, activation)