code: def _shuffle_layer(inputs, shuffle_fn):
      """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
      """
      seq_length = inputs.shape[1]
      n_bits = np.int32(np.log(seq_length - 1) / np.log(2.0)) + 1
  
      indices = np.arange(0, seq_length).astype("int32")
      rev_indices = shuffle_fn(indices, n_bits)
      return jnp.take(inputs, rev_indices, axis=1, mode="clip")
  
imports: import numpy
  from trax import fastmath
  from trax import layers
  from trax.fastmath import numpy
  from trax.layers.assert_shape import assert_shape
label_desc: Use image node_id 5 for calling a global function with example usage: _shuffle_layer(inputs, shuffle_fn) and returns: jnp