class_docstr: Wrap transformer response.
  
  Pushes input through transformer and MLP.
class_docstr_tok: ["Wrap","transformer","response",".","Pushes","input","through","transformer","and","MLP","."]
docstr: Forward pass.
docstr_tok: ["Forward","pass","."]
code: def forward(self, *args) -> torch.Tensor:
      """
      Forward pass.
      """
      return self.mlp(self.transformer(*args))
  
file_path: ParlAI/parlai/agents/transformer/modules/wrappers.py
imports: import torch
  import torch.nn
  from parlai.agents.transformer.modules import TransformerEncoder
label_desc: Use image node_id 2 for calling the TransformerResponseWrapper obj's underlying member method code with example usage: obj.forward() and returns: self