code: def forward(self, graph, inputs):
      h = self.dropout(inputs)
      for l, layer in enumerate(self.layers):
          h = layer(graph, h)
          if l != len(self.layers) - 1:
              h = self.activation(h)
              h = self.dropout(h)
      return h
  
file_path: dgl/benchmarks/benchmarks/model_speed/bench_sage.py
imports: import time
  import dgl
  import torch
  import torch.nn
  import torch.nn.functional
  from dgl.nn.pytorch import SAGEConv
  from ..None import utils
label_desc: Use image node_id 2 for calling the GraphSAGE obj's underlying member method code with example usage: obj.forward(graph, inputs) and returns: h