code: def check_emb_on_pin_memory(self):
      if len(self.histories) > 0:
          place = self.histories[0].emb.place
          if str(place).startswith("CUDAPinned"):
              return True
      return False
  
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 3 for calling the ScalableGNN obj's underlying member method code with example usage: obj.check_emb_on_pin_memory() and returns: False, True