import tensorflow as tf

    scale: The amount of scaling applied to the input.

  Returns:
    Scaled dimension.
  """
  if isinstance(dim, tf.Tensor):
    return tf.cast((tf.to_float(dim) - 1.0) * scale + 1.0, dtype=tf.int32)
  else:
    return int((float(dim) - 1.0) * scale + 1.0)


def multi_scale_logits(images,
