code: def check_tf_version():
      tf_version = tf.__version__
      if tf_version >= "2.0":
          raise RuntimeError(
              f"Currently running TensorFlow version {tf_version}. We only support"
              f"TensorFlow 1.x for now and has been tested on 1.15"
          )
  
imports: from zoo.orca.automl.model.abstract import BaseModel, ModelBuilder
  import numpy
  from zoo.orca.automl.metrics import Evaluator
  import pickle
  import tensorflow
  from tensorflow.keras import backend
label_desc: Use image node_id 1 for calling a global function with example usage: check_tf_version() without return types