(num, **kwargs)
return tf.random_normal([num, kwargs['latent_vector_size']], dtype=tf.float32)
Returns a batch of `num` random latent vectors.
Returns a batch of `num` random latent vectors.
Returns a batch of num random latent vectors .
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)
def make_latent_vectors ( num , * * kwargs ) : return tf . random_normal ( [ num , kwargs [ 'latent_vector_size' ] ] , dtype = tf . float32 )