code: def execute(cls, ctx, op):
      if op.merge:
          return super().execute(ctx, op)
  
      assert (
          ctx.local_address.split(":")[0]
          == op.expect_worker.split(":")[0]
      )
  
      super().execute(ctx, op)
  
      if op.tf_task_type == "worker" and op.tf_task_index == 0:
          ctx[op.outputs[0].key] = {"status": "ok"}
      else:
          ctx[op.outputs[0].key] = {}
  
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 11 for calling the RunTensorFlow obj's underlying member method code with example usage: obj.execute(cls, ctx, op) and returns: super