code: def __init__(
      self,
      n_workers=None,
      n_ps=None,
      tf_config=None,
      port=None,
      tf_task_type=None,
      tf_task_index=None,
      gpu=None,
      **kw,
  ):
      super().__init__(
          _n_workers=n_workers,
          _n_ps=n_ps,
          _tf_config=tf_config,
          _port=port,
          _tf_task_type=tf_task_type,
          _tf_task_index=tf_task_index,
          gpu=gpu,
          **kw,
      )
  
imports: import os
  import json
  from typing import Any, BinaryIO, Dict, List, Optional, TextIO, Union
  import numpy
  from ....None import opcodes
  from ....core import recursive_tile
  from ....core.context import get_context
  from ....remote.run_script import RunScript, _extract_inputs
  from ....serialization.serializables import BytesField, Int32Field, DictField, StringField
  from ....typing import SessionType, TileableType
  from ....utils import to_binary
  from ...utils import collect_ports
  from ..utils import pick_workers
label_desc: Use image node_id 1 to create a new RunTensorFlow object from inherited base classes: RunScript with example: obj = RunTensorFlow(n_workers, n_ps, tf_config, port, tf_task_type, tf_task_index, gpu)