code: def _central_crop(image_list, crop_height, crop_width):
      """Performs central crops of the given image list.
  
      Args:
        image_list: a list of image tensors of the same dimension but possibly
          varying channel.
        crop_height: the height of the image following the crop.
        crop_width: the width of the image following the crop.
  
      Returns:
        the list of cropped images.
      """
      outputs = []
      for image in image_list:
          image_height = tf.shape(image)[0]
          image_width = tf.shape(image)[1]
  
          offset_height = (image_height - crop_height) / 2
          offset_width = (image_width - crop_width) / 2
  
          outputs.append(
              _crop(
                  image,
                  offset_height,
                  offset_width,
                  crop_height,
                  crop_width,
              )
          )
      return outputs
  
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 11 for calling a global function with example usage: _central_crop(image_list, crop_height, crop_width) and returns: outputs