code: def save_entity_partition(
      self,
      version: int,
      entity_name: EntityName,
      partition: Partition,
      embeddings: FloatTensorType,
      optim_state: Optional[bytes],
      metadata: Dict[str, Any],
  ) -> None:
      pass
  
imports: import errno
  import logging
  import os
  from abc import ABC, abstractmethod
  from pathlib import Path
  from typing import Any, Dict, Generator, List, NamedTuple, Optional, Tuple
  import h5py
  import numpy
  import torch
  from torchbiggraph.plugin import URLPluginRegistry
  from torchbiggraph.types import EntityName, FloatTensorType, ModuleStateDict, Partition
  from torchbiggraph.util import allocate_shared_tensor, CouldNotLoadData
label_desc: Use image node_id 5 for calling the AbstractCheckpointStorage obj's underlying member method code with example usage: obj.save_entity_partition(version, entity_name, partition, embeddings, optim_state, metadata) without return types