code: def forward(self, g, x):
      h = x
      for l, conv in enumerate(self.layers):
          h = conv(g, h)
          if l != len(self.layers) - 1:
              h = self.activation(h)
              h = self.dropout(h)
      return h
  
imports: import argparse
  import time
  import traceback
  from functools import partial
  import dgl
  import dgl.function
  import dgl.nn.pytorch
  import numpy
  import torch
  import torch.multiprocessing
  import torch.nn
  import torch.nn.functional
  import torch.optim
  import tqdm
  from dgl.data import RedditDataset
  from ogb.nodeproppred import DglNodePropPredDataset
  from sampler import ClusterIter, subgraph_collate_fn
  from torch.utils.data import DataLoader
label_desc: Use image node_id 2 for calling the SAGE obj's underlying member method code with example usage: obj.forward(g, x) and returns: h