code: def make_latent_vectors(num, **kwargs):
      """Returns a batch of `num` random latent vectors."""
      return tf.random_normal(
          [num, kwargs["latent_vector_size"]], dtype=tf.float32
      )
  
imports: import os
  import time
  from absl import logging
  from magenta.models.gansynth.lib import networks
  import numpy
  import tensorflow.compat.v1
  import tensorflow_gan
label_desc: Use image node_id 7 for calling a global function with example usage: make_latent_vectors(num) and returns: tf