code: def forward(self, x):
      # x has shape (batch_size, input_width)
      batch_size = x.shape[0]
  
      logits = torch.bmm(
          x.unsqueeze(1),
          self.w1s.unsqueeze(0).expand(
              batch_size, self.input_width, self.hidden_width
          ),
      )  # (batch_size, 1, hidden_width)
      logits = torch.nn.functional.gelu(
          logits
      )  # (batch_size, 1, hidden_width)
      logits = torch.bmm(
          logits,
          self.w2s.unsqueeze(0).expand(
              batch_size, self.hidden_width, self.output_width
          ),
      )  # (batch_size, 1, output_width)
  
      return logits.squeeze(1)
  
imports: import torch
  import torch.nn
  import math
label_desc: Use image node_id 2 for calling the FF obj's underlying member method code with example usage: obj.forward(x) and returns: logits