docs: def _central_crop(image, crop_height, crop_width):
    """Performs central crops of the given image list.
  
    Args:
      image: a 3-D image tensor
      crop_height: the height of the image following the crop.
      crop_width: the width of the image following the crop.
  
    Returns:
      3-D tensor with cropped image.
    """
    shape = tf.shape(image)
    height, width = shape[0], shape[1]
  
    mlperf_log.resnet_print(key=mlperf_log.INPUT_CENTRAL_CROP,
                            value=[crop_height, crop_width])
  
    amount_to_be_cropped_h = (height - crop_height)
    crop_top = amount_to_be_cropped_h // 2
    amount_to_be_cropped_w = (width - crop_width)
    crop_left = amount_to_be_cropped_w // 2
    return tf.slice(
        image, [crop_top, crop_left, 0], [crop_height, crop_width, -1])