code: def split_seed(seed, count):
      """Splits a seed into `count` seeds."""
      if _is_stateful_seed(seed):
          if seed is None:
              return count * [None]
          return [
              np.random.RandomState(seed + i).randint(0, 2**31)
              for i, seed in enumerate([seed] * count)
          ]
      else:
          seeds = tf.random.stateless_uniform(
              [count, 2],
              seed=make_tensor_seed(seed),
              minval=None,
              maxval=None,
              dtype=tf.int32,
          )
          return tf.unstack(seeds)
  
imports: import functools
  import numpy
  import six
  import tensorflow.compat.v2
  from tensorflow.python.util import nest
label_desc: Use image node_id 10 for calling a global function with example usage: split_seed(seed, count) and returns: unknown, tf, unknown