code: def close(self):
      pass
  
imports: import ctypes
  import ctypes.util
  import logging
  import os
  import time
  from collections import defaultdict
  from multiprocessing.connection import wait
  from typing import Callable, Dict, List, NamedTuple, Optional, Set, Tuple
  import torch
  import torch.multiprocessing
  from torchbiggraph.batching import AbstractBatchProcessor, process_in_batches
  from torchbiggraph.config import add_to_sys_path, ConfigFileLoader, ConfigSchema
  from torchbiggraph.edgelist import EdgeList
  from torchbiggraph.entitylist import EntityList
  from torchbiggraph.graph_storages import EDGE_STORAGES, ENTITY_STORAGES
  from torchbiggraph.model import MultiRelationEmbedder
  from torchbiggraph.parameter_sharing import ParameterServer, ParameterSharer
  from torchbiggraph.row_adagrad import RowAdagrad
  from torchbiggraph.stats import Stats, StatsHandler
  from torchbiggraph.train_cpu import Trainer, TrainingCoordinator
  from torchbiggraph.types import Bucket, EntityName, FloatTensorType, GPURank, LongTensorType, ModuleStateDict, OptimizerStateDict, Partition, Rank, Side, SINGLE_TRAINER, SubPartition
  from torchbiggraph.util import allocate_shared_tensor, BucketLogger, create_pool, div_roundup, DummyOptimizer, EmbeddingHolder, fast_approx_rand, get_async_result, get_num_workers, hide_distributed_logging, round_up_to_nearest_multiple, set_logging_verbosity, setup_logging, split_almost_equally, SubprocessInitializer, tag_logs_with_process_name
label_desc: Use image node_id 5 for calling the GPUProcessPool obj's underlying member method code with example usage: obj.close() without return types