code: def _test_dataset():
      return tf.convert_to_tensor([5.0, -2.1, 8.0, 4.0, 1.1])
  
imports: import functools
  from absl import logging
  from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  import tensorflow_probability
  from tensorflow_probability.python.internal import test_util
  from inference_gym.internal import test_util
  from inference_gym.targets import vectorized_stochastic_volatility
  from tensorflow.python.util import nest
label_desc: Use image node_id 1 for calling a global function with example usage: _test_dataset() and returns: tf