956ac38fd58a1ef65c18dffc06a22d2e628e3a16,testing/test_conditionals.py,WhitenTestGaussian,test_whiten,#WhitenTestGaussian#,123

Before Change

            V = GPflow.slinalg.Solve("lower_triangular")(L, self.F)
            Li = GPflow.slinalg.Solve("lower_triangular")(L, eye(3))
            V_var = (Li.dot(tf.diag(self.F_sqrt.flatten()**2)).dot(Li.T))
            V_sqrt = GPflow.slinalg.cholesky(V_var)[:,:,None]

            Fstar_mean, Fstar_var = GPflow.conditionals.gaussian_gp_predict(self.Xs, self.X, self.k, self.F, self.F_sqrt)
            Fstar_w_mean, Fstar_w_var = GPflow.conditionals.gaussian_gp_predict_whitened(self.Xs, self.X, self.k, V, V_sqrt)

After Change

            L = tf.cholesky(K)
            V = tf.user_ops.triangular_solve(L, self.F, "lower")
            Li = tf.user_ops.triangular_solve(L, eye(3), "lower")
            V_var = tf.matmul( tf.matmul(Li, tf.diag(tf.square(tf.reshape(self.F_sqrt, (-1,))))), tf.transpose(Li))
            V_sqrt = tf.expand_dims(tf.cholesky(V_var) ,2)

            Fstar_mean, Fstar_var = GPflow.conditionals.gaussian_gp_predict(self.Xs, self.X, self.k, self.F, self.F_sqrt)

Instances