code: def forward(self, inputs: torch.Tensor) -> torch.Tensor:
      return self.mlp(inputs)
  
file_path: xformers/xformers/components/feedforward/mlp.py
imports: from dataclasses import dataclass
  import torch
  import torch.nn
  from xformers.components import Activation, build_activation
  from xformers.components.feedforward import Feedforward, FeedforwardConfig
  from .None import register_feedforward
label_desc: Use image node_id 2 for calling the MLP obj's underlying member method code with example usage: obj.forward(inputs) and returns: self