code: def _tensorflow_predict_local(
      self, vects: Dict[str, "np.ndarray"]
  ) -> Dict[str, "np.ndarray"]:
      results = self.tf_model_signature(
          **{
              key: tf.convert_to_tensor(value)
              for key, value in vects.items()
          }
      )
      return {
          name: np.array(
              results[name],
              dtype=self.output_dtypes.get(name),
          )
          for name in self.output_tensor_mapping
      }
  
imports: import abc
  import json
  import os
  from typing import Any, Dict, List, Optional, Tuple, Type
  import aiohttp
  import requests
  from structlog import get_logger
  from tenacity import Retrying, retry_if_exception, stop_after_attempt, wait_random_exponential
  from modelkit.core.model import AsyncModel, Model
  from modelkit.core.types import ItemType, ReturnType
  from modelkit.utils.serialization import safe_np_dump
label_desc: Use image node_id 6 for calling the TensorflowModel obj's underlying member method code with example usage: obj._tensorflow_predict_local(vects) and returns: unknown