code: def run_estimators_single_device(device="cpu", device_id=0):
      with tf.device("/{0}:{1}".format(device, device_id)):
          model = keras_model()
      model = tf.keras.estimator.model_to_estimator(
          keras_model=model, config=_run_config(device, device_id)
      )
      _test_estimators_single_device(model, device, device_id)
  
imports: import nvidia.dali.plugin.tf
  import os
  from nvidia.dali.pipeline import Pipeline
  import nvidia.dali.fn
  import nvidia.dali.types
  from test_utils_tensorflow import num_available_gpus
  from shutil import rmtree
  import tensorflow
  import tensorflow.compat.v1
label_desc: Use image node_id 12 for calling a global function with example usage: run_estimators_single_device(device, device_id) without return types