code: def forward(self, g, features):
      x = F.relu(self.layer1(g, features))
      x = self.layer2(g, x)
      return x
  
file_path: dgl/tutorials/models/1_gnn/1_gcn.py
imports: import os
  import dgl
  import dgl.function
  import torch
  import torch.nn
  import torch.nn.functional
  from dgl import DGLGraph
  from dgl.data import CoraGraphDataset
  import time
  import numpy
label_desc: Use image node_id 2 for calling the Net obj's underlying member method code with example usage: obj.forward(g, features) and returns: x