code: def forward(self, x0, x1):
      assert x0.shape == x1.shape
      fusion_input = paddle.concat([x0, x1], self.dim)
      output = self.linear_layer(fusion_input)
      output = F.glu(output, self.dim)
      return output
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import math
  import paddle
  from paddle import ParamAttr
  import paddle.nn
  import paddle.nn.functional
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