class_docstr: This class implements the :class:`torch_geometric.data.FeatureStore`
  interface to act as a local feature store for distributed training.
code: def put_global_id(
      self,
      global_id: Tensor,
      group_name: Union[NodeType, EdgeType],
  ) -> bool:
      self._global_id[group_name] = global_id
      self._set_global_id_to_index(group_name)
      return True
  
imports: import copy
  import json
  import os.path
  from dataclasses import dataclass
  from typing import Any, Dict, List, Optional, Tuple, Union
  import torch
  from torch import Tensor
  from torch_geometric.data import FeatureStore, TensorAttr
  from torch_geometric.data.feature_store import _FieldStatus
  from torch_geometric.distributed.rpc import RPCCallBase, RPCRouter, rpc_async, rpc_register
  from torch_geometric.typing import EdgeType, NodeOrEdgeType, NodeType
label_desc: Use image node_id 3 for calling the LocalFeatureStore obj's underlying member method code with example usage: obj.put_global_id(global_id, group_name) and returns: True