code: def forward(self, g, features):
      h = features
      for i, layer in enumerate(self.layers):
          if i != 0:
              h = self.dropout(h)
          h = layer(g, h)
      return h
  
file_path: dgl/benchmarks/benchmarks/model_acc/bench_gcn.py
imports: import dgl
  import torch
  import torch.nn
  import torch.nn.functional
  from dgl.nn.pytorch import GraphConv
  from ..None import utils
label_desc: Use image node_id 2 for calling the GCN obj's underlying member method code with example usage: obj.forward(g, features) and returns: h