code: def pad_tensor_with_trailing_zeros(x, num_zeros):
      return tf.pad(
          x,
          ps.concat(
              [
                  ps.zeros([ps.rank(x) - 1, 2], dtype=np.int32),
                  [[0, num_zeros]],
              ],
              axis=0,
          ),
      )
  
imports: import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import categorical
  from tensorflow_probability.python.distributions import mixture_same_family
  from tensorflow_probability.python.distributions import mvn_diag
  from tensorflow_probability.python.distributions import mvn_linear_operator
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.internal import distribution_util
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.sts.internal import missing_values_util
label_desc: Use image node_id 2 for calling a global function with example usage: pad_tensor_with_trailing_zeros(x, num_zeros) and returns: tf