class_docstr: This class implements the :class:`torch_geometric.data.FeatureStore`
  interface to act as a local feature store for distributed training.
code: def set_rpc_router(self, rpc_router: RPCRouter):
      self.rpc_router = rpc_router
  
      if not self.local_only:
          if self.rpc_router is None:
              raise ValueError("An RPC router must be provided")
          rpc_call = RPCCallFeatureLookup(self)
          self.rpc_call_id = rpc_register(rpc_call)
      else:
          self.rpc_call_id = None
  
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 13 for calling the LocalFeatureStore obj's underlying member method code with example usage: obj.set_rpc_router(rpc_router) without return types