code: def backend_cls(self):
      return _TensorflowBackend
  
file_path: ray/python/ray/train/tensorflow/config.py
imports: import json
  import logging
  import os
  from dataclasses import dataclass
  from typing import List
  import ray
  from ray.train._internal.utils import get_address_and_port
  from ray.train._internal.worker_group import WorkerGroup
  from ray.train.backend import Backend, BackendConfig
  from ray.util import PublicAPI
label_desc: Use image node_id 1 for calling the TensorflowConfig obj's underlying member method code with example usage: obj.backend_cls() and returns: _TensorflowBackend