code: def _right_pad_with_ones(x, target_rank):
      return tf.reshape(
          x,
          ps.concat(
              [
                  ps.shape(x),
                  ps.ones(
                      [target_rank - ps.rank(x)],
                      dtype=target_rank.dtype,
                  ),
              ],
              axis=0,
          ),
      )
  
imports: import collections
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.mcmc import kernel
  from tensorflow_probability.python.mcmc.internal import util
label_desc: Use image node_id 2 for calling a global function with example usage: _right_pad_with_ones(x, target_rank) and returns: tf