code: def forward(self, x):
      if self.use_bn:
          x = self.bn1(x)
      x = self.input_dropout(x)
      x = F.relu(self.layer1(x))
  
      if self.use_bn:
          x = self.bn2(x)
      x = self.hidden_dropout(x)
      x = self.layer2(x)
  
      return x
  
file_path: dgl/examples/pytorch/grand/model.py
imports: import dgl.function
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 3 for calling the MLP obj's underlying member method code with example usage: obj.forward(x) and returns: x