code: def forward_layer(self, layer, graph, x, norm, state):
      x = self.convs[layer](graph, x)
      return x
  
file_path: PGL/apps/GNNAutoScale/gnn_models/gat.py
imports: import paddle
  import pgl
  import paddle.nn
  from .base_model import ScalableGNN
label_desc: Use image node_id 3 for calling the GAT obj's underlying member method code with example usage: obj.forward_layer(layer, graph, x, norm, state) and returns: x