code: def split(seed, num=2, alg="auto_select"):
      """Splits an RNG seed into `num` new seeds by adding a leading axis.
  
      Example:
  
      >>> seed = [1, 2]
      >>> new_seeds = tf.random.split(seed, num=3)
      >>> print(new_seeds)
      tf.Tensor(
      [[1105988140 1738052849]
       [-335576002  370444179]
       [  10670227 -246211131]], shape=(3, 2), dtype=int32)
      >>> tf.random.stateless_normal(shape=[3], seed=new_seeds[0, :])
      <tf.Tensor: shape=(3,), dtype=float32, numpy=array([-0.59835213, -0.9578608 ,
      0.9002807 ], dtype=float32)>
  
      Args:
        seed: an RNG seed (a tensor with shape [2] and dtype `int32` or `int64`).
          (When using XLA, only `int32` is allowed.)
        num: optional, a positive integer or scalar tensor indicating the number of
          seeds to produce (default 2).
        alg: The RNG algorithm used to generate the random numbers. See
          `tf.random.stateless_uniform` for a detailed explanation.
  
      Returns:
        A tensor with shape [num, 2] representing `num` new seeds. It will have the
        same dtype as `seed` (if `seed` doesn't have an explict dtype, the dtype
        will be determined by `tf.convert_to_tensor`).
      """
      seed = ops.convert_to_tensor(seed)
      return stateless_random_uniform(
          shape=[num, 2],
          seed=seed,
          dtype=seed.dtype,
          minval=None,
          maxval=None,
          alg=alg,
      )
  
imports: import numpy
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import gen_random_index_shuffle_ops
  from tensorflow.python.ops import gen_stateless_random_ops
  from tensorflow.python.ops import gen_stateless_random_ops_v2
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops_util
  from tensorflow.python.ops import shape_util
  from tensorflow.python.util import deprecation
  from tensorflow.python.util import dispatch
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 1 for calling a global function with example usage: split(seed, num, alg) and returns: stateless_random_uniform