code: def forward(self, g):
      x = g.ndata["feat"]
      for layer in self.layers:
          if isinstance(layer, GraphConv):
              x = layer(g, x)
          else:
              x = layer(x)
      return x
  
imports: import copy
  import dgl
  import torch
  from dgl.nn.pytorch.conv import GraphConv, SAGEConv
  from torch import nn
  from torch.nn import BatchNorm1d, Parameter
  from torch.nn.init import ones_, zeros_
label_desc: Use image node_id 2 for calling the GCN obj's underlying member method code with example usage: obj.forward(g) and returns: x