code: def make_multiscale(image, resolutions,
                      resize_method=tf.image.ResizeMethod.BICUBIC,
                      num_channels=3):
    
    scaled_images = []
    for height in resolutions:
      scaled_image = tf.image.resize_images(
          image,
          size=[height, height],  # assuming that height = width
          method=resize_method)
      scaled_image = tf.to_int64(scaled_image)
      scaled_image.set_shape([height, height, num_channels])
      scaled_images.append(scaled_image)
  
    return scaled_images
docs: Returns list of scaled images, one for each resolution.
  
    Args:
      image: Tensor of shape [height, height, num_channels].
      resolutions: List of heights that image's height is resized to.
      resize_method: tf.image.ResizeMethod.
      num_channels: Number of channels in image.
  
    Returns:
      List of Tensors, one for each resolution with shape given by
      [resolutions[i], resolutions[i], num_channels].