code: def decode_image(image_bytes: bytes) -> np.ndarray:
      """Returns np.array corresponding to encoded image."""
      runner = _get_runner()
      return runner.run(tf.image.decode_image, image_bytes)
  
imports: from __future__ import annotations
  import csv
  import subprocess
  from typing import Any, List, Optional
  import numpy
  from tensorflow_datasets.core import lazy_imports_lib
  from tensorflow_datasets.core.utils import py_utils
  from tensorflow_datasets.core.utils import resource_utils
  from tensorflow_datasets.core.utils import tf_utils
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
label_desc: Use image node_id 2 for calling a global function with example usage: decode_image(image_bytes) and returns: runner