code: def forward(self, inputs):
      h_1 = self.gcn_1(self.g, inputs)
      h_1 = F.dropout(h_1, p=self.dropout, training=self.training)
      preds = self.fc(h_1)
      return preds
  
file_path: dgl/examples/pytorch/rect/model.py
imports: import torch.nn
  import torch.nn.functional
  from dgl.nn.pytorch import GraphConv
label_desc: Use image node_id 2 for calling the RECT_L obj's underlying member method code with example usage: obj.forward(inputs) and returns: preds