code: def _final_out(self):
      if self._fout is None:
          self._fout = paddle.to_tensor(
              np.zeros((self.num_nodes, self.output_size)),
              place=paddle.CUDAPinnedPlace(),
              dtype="float32",
          )
      return self._fout
  
file_path: PGL/apps/GNNAutoScale/gnn_models/base_model.py
imports: import os
  import sys
  import numpy
  import paddle
  from pgl.utils.stream_pool import StreamPool, async_write
  from history import History
  from utils import process_batch_data, check_device
label_desc: Use image node_id 6 for calling the ScalableGNN obj's underlying member method code with example usage: obj._final_out() and returns: self