class_docstr: Tensor attribute for storing features without :obj:`index`.
code: def __init__(
      self,
      group_name: Optional[
          Union[NodeType, EdgeType]
      ] = _FieldStatus.UNSET,
      attr_name: Optional[str] = _FieldStatus.UNSET,
      index=None,
  ):
      super().__init__(group_name, attr_name, index)
  
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 1 to create a new LocalTensorAttr object from inherited base classes: TensorAttr with example: obj = LocalTensorAttr(group_name, attr_name, index)