def calc_loss(self, z_k: Tensor, log_q_k: Tensor,
target_distribution: Distribution) -> Tensor:
p = target_distribution.calc_prob_tf(z_k)
log_p = tf.log(p + DELTA)
loss = tf.reduce_mean(log_q_k - log_p)
return loss
def test_calc_prob_tf(self):
with self.assertRaises(NotImplementedError):
Distribution.calc_prob_tf(self.z_tf)
