code: def forward(self, x, edge_index):
      x = F.dropout(x, p=0.6, training=self.training)
      x = F.elu(self.conv1(x, edge_index))
      att_loss = self.conv1.get_attention_loss()
      x = F.dropout(x, p=0.6, training=self.training)
      x = self.conv2(x, data.edge_index)
      att_loss += self.conv2.get_attention_loss()
      return F.log_softmax(x, dim=-1), att_loss
  
file_path: pytorch_geometric/examples/super_gat.py
imports: import os.path
  import time
  import torch
  import torch.nn.functional
  import torch_geometric.transforms
  from torch_geometric.datasets import Planetoid
  from torch_geometric.nn import SuperGATConv
label_desc: Use image node_id 2 for calling the Net obj's underlying member method code with example usage: obj.forward(x, edge_index) and returns: F,  att_loss