code: def forward(self, sg, x):
      h = x
      for l, layer in enumerate(self.layers):
          h = layer(sg, h)
          if l != len(self.layers) - 1:
              h = F.relu(h)
              h = self.dropout(h)
      return h
  
file_path: dgl/examples/pytorch/cluster_gcn/cluster_gcn.py
imports: import time
  import dgl
  import dgl.nn
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  import torchmetrics.functional
  from ogb.nodeproppred import DglNodePropPredDataset
label_desc: Use image node_id 2 for calling the SAGE obj's underlying member method code with example usage: obj.forward(sg, x) and returns: h