code: def tile(cls, op):
      ctx = get_context()
  
      cluster_conf = {"worker": []}
      if op.n_ps > 0:
          cluster_conf["ps"] = []
      n_workers = op.n_workers
  
      out_chunks = []
      worker_addresses = ctx.get_worker_addresses()
      picked_workers = pick_workers(worker_addresses, op.n_roles)
      data, input_chunks = cls._get_chunk_data(op)
  
      ports = yield from recursive_tile(collect_ports(worker_addresses))
      yield ports.chunks
      ports = ctx.get_chunks_result([ports.chunks[0].key])[0]
  
      i = 0
      for worker, port in zip(picked_workers, ports):
          worker_addr = worker.rsplit(":", 1)[0]
          chunk_op = op.copy().reset_key()
          chunk_op._data = data
          addr = f"{worker_addr}:{port}"
          # tell graph actor that the chunk should be executed on the exact worker
          chunk_op.expect_worker = worker
          tp = "worker" if i < n_workers else "ps"
          chunk_op._tf_task_type = tp
          idx = i if i < n_workers else i - n_workers
          chunk_op._tf_task_index = idx
          cluster_conf[tp].append(addr)
          chunk_op._tf_config = {
              "cluster": cluster_conf,
              "task": {"type": tp, "index": idx},
          }
          out_chunks.append(
              chunk_op.new_chunk(input_chunks, index=(i,))
          )
          i += 1
  
      new_op = op.copy()
      return new_op.new_tileables(
          op.inputs,
          chunks=out_chunks,
          nsplits=(tuple(np.nan for _ in range(len(out_chunks))),),
      )
  
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 9 for calling the RunTensorFlow obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op