code: def forward(self, data):
      edge_index, edge_type = data.edge_index, data.edge_type
      x = F.relu(self.conv1(None, edge_index, edge_type))
      x = self.conv2(x, edge_index, edge_type)
      return F.log_softmax(x, dim=1)
  
imports: import torch
  import torch.nn.functional
  from torch_geometric.nn import FastRGCNConv
label_desc: Use image node_id 2 for calling the RGCN obj's underlying member method code with example usage: obj.forward(data) and returns: F