code: def __init__(self, g, in_channels, out_channels):
      super().__init__()
      self.conv1 = GCNSPMVConv(g, in_channels, 16)
      self.conv2 = GCNSPMVConv(g, 16, out_channels)
  
imports: import dgl.function
  import torch
  import torch.nn.functional
  from torch.nn import Parameter
  from torch_geometric.nn.inits import glorot, zeros
label_desc: Use image node_id 1 to create a new GCNSPMV object from inherited base classes: torch.nn with example: obj = GCNSPMV(g, in_channels, out_channels)