code: def forward(self, x0, x1):
      assert x0.size() == x1.size()
      fusion_input = torch.cat([x0, x1], self.dim)
      output = self.linear_layer(fusion_input)
      output = self.glu_layer(output)
  
      return output
  
imports: import torch
  import torch.nn
  from mmengine.model import BaseModule
label_desc: Use image node_id 2 for calling the RobustScannerFusionLayer obj's underlying member method code with example usage: obj.forward(x0, x1) and returns: output