69364c2b79e1e6dd0fe7419377a044c0bdedb4f5,testing/test_conditionals.py,DiagsTest,test_nonwhiten,#DiagsTest#,65

Before Change

            Fstar_mean_1, Fstar_var_1 = gpflow.conditionals.gaussian_gp_predict(self.Xs, self.X, self.k, self.mu, self.sqrt, self.num_latent)
            Fstar_mean_2, Fstar_var_2 = gpflow.conditionals.gaussian_gp_predict(self.Xs, self.X, self.k, self.mu, self.chol, self.num_latent)

            mean_diff = sess.run(Fstar_mean_1 - Fstar_mean_2, feed_dict=self.feed_dict)
            var_diff = sess.run(Fstar_var_1 - Fstar_var_2, feed_dict=self.feed_dict)

            self.assertTrue(np.allclose(mean_diff, 0))
            self.assertTrue(np.allclose(var_diff, 0))

After Change

            Fstar_mean_1, Fstar_var_1 = gpflow.conditionals.conditional(self.Xs, self.X, self.k, self.mu, q_sqrt=self.sqrt)
            Fstar_mean_2, Fstar_var_2 = gpflow.conditionals.conditional(self.Xs, self.X, self.k, self.mu, q_sqrt=self.chol)

            mean1, var1 = sess.run([Fstar_mean_1, Fstar_var_1], feed_dict=self.feed_dict)
            mean2, var2 = sess.run([Fstar_mean_2, Fstar_var_2], feed_dict=self.feed_dict)

            np.testing.assert_allclose(mean1, mean2)
            np.testing.assert_allclose(var1, var2)

Instances