code: def __init__(self, in_channels, out_channels, device1, device2):
      super().__init__()
      self.conv1 = GCNConv(in_channels, 16).to(device1)
      self.conv2 = GCNConv(16, out_channels).to(device2)
  
file_path: pytorch_geometric/examples/multi_gpu/model_parallel.py
imports: import os.path
  import torch
  import torch.nn.functional
  from torch_geometric.datasets import Planetoid
  from torch_geometric.nn import GCNConv
  from torch_geometric.transforms import NormalizeFeatures
label_desc: Use image node_id 1 to create a new GCN object from inherited base classes: torch.nn with example: obj = GCN(in_channels, out_channels, device1, device2)