code: def forward(self, blocks, x):
      for i, conv in enumerate(self.convs):
          x = conv(blocks[i], x)
          if i != len(self.convs) - 1:
              x = F.relu(x)
      return x
  
file_path: cugraph/benchmarks/cugraph-dgl/scale-benchmarks/model.py
imports: import torch
  import torch.nn.functional
  import time
label_desc: Use image node_id 2 for calling the GNN obj's underlying member method code with example usage: obj.forward(blocks, x) and returns: x