code: def load_evaluation_images(image_size):
      """Loads images for evaluation.
  
      Args:
        image_size: int. Image size.
  
      Returns:
        Tensor. A batch of evaluation images.
  
      Raises:
        IOError: If no evaluation images can be found.
      """
      glob = os.path.join(
          tf.resource_loader.get_data_files_path(),
          _EVALUATION_IMAGES_GLOB,
      )
      evaluation_images = tf.gfile.Glob(glob)
      if not evaluation_images:
          raise IOError("No evaluation images found")
      return tf.concat(
          [load_image(path, image_size) for path in evaluation_images],
          0,
      )
  
imports: import io
  import os
  import tempfile
  from magenta.models.image_stylization import imagenet_data
  import numpy
  import skimage.io
  import tensorflow.compat.v1
label_desc: Use image node_id 8 for calling a global function with example usage: load_evaluation_images(image_size) and returns: tf