code: def forward(self, graph, feat):
      for i in range(self.num_layers):
          feat = self.act_fn(self.convs[i](graph, feat))
  
      return feat
  
file_path: dgl/examples/pytorch/grace/model.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  from dgl.nn import GraphConv
label_desc: Use image node_id 2 for calling the GCN obj's underlying member method code with example usage: obj.forward(graph, feat) and returns: feat