code: def _random_unit_hypersphere(sample_shape, event_shape, dtype, seed):
      target_shape = tf.concat([sample_shape, event_shape], axis=0)
      return tf.math.l2_normalize(
          tf.random.normal(target_shape, seed=seed, dtype=dtype),
          axis=-1 - ps.range(ps.size(event_shape)),
      )
  
imports: import functools
  import itertools
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import distribution_util
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.util.seed_stream import SeedStream
label_desc: Use image node_id 26 for calling a global function with example usage: _random_unit_hypersphere(sample_shape, event_shape, dtype, seed) and returns: tf