code: def shuffle_layer(inputs, shuffle_fn=rol):
      """Shuffles the elements according to bitwise left or right rotation.
  
      Args:
        inputs: Tensor input from previous layer
        shuffle_fn: Shift function rol or ror
  
      Returns:
        tf.Tensor: Inputs shifted according to shuffle_fn
      """
  
      length = tf.shape(inputs)[1]
      n_bits = tf.log(tf.cast(length - 1, tf.float32)) / tf.log(2.0)
      n_bits = tf.cast(n_bits, tf.int32) + 1
  
      indices = tf.range(0, length)
      rev_indices = shuffle_fn(indices, n_bits)
      return tf.gather(inputs, rev_indices, axis=1)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import math
  from tensor2tensor.layers import common_hparams
  from tensor2tensor.utils import registry
  from tensor2tensor.utils import t2t_model
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 3 for calling a global function with example usage: shuffle_layer(inputs, shuffle_fn) and returns: tf