code: def ror(x, n, p=1):
      """Bitwise right rotation.
  
      Args:
        x: Input tensor
        n: Bit count to represent x
        p: Bit positions to shift
  
      Returns:
        tf.Tensor: x shifted by p positions in n bits
      """
  
      a = tf.bitwise.right_shift(x, p)
      b = tf.bitwise.left_shift(1, p) - 1
      c = tf.bitwise.bitwise_and(x, b)
      d = tf.bitwise.left_shift(c, n - p)
  
      return a + d
  
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 1 for calling a global function with example usage: ror(x, n, p) and returns: unknown