code: def forward(self, inputs, **kwargs):
      hidden = self.dropout1(nn.functional.gelu(self.linear1(inputs)))
      return self.dropout2(self.linear2(hidden))
  
imports: from typing import Tuple, Union
  import torch
  import torch.nn
  from ludwig.utils.torch_utils import LudwigModule
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