class_docstr: This class implements the :class:`torch_geometric.data.FeatureStore`
  interface to act as a local feature store for distributed training.
code: def get_tensor_from_global_id(
      self, *args, **kwargs
  ) -> Optional[Tensor]:
      attr = self._tensor_attr_cls.cast(*args, **kwargs)
      assert attr.index is not None
  
      attr = copy.copy(attr)
      attr.index = self._global_id_to_index[attr.group_name][attr.index]
  
      return self.get_tensor(attr)
  
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 10 for calling the LocalFeatureStore obj's underlying member method code with example usage: obj.get_tensor_from_global_id() and returns: self