test_torch.py 文件源码

def test_potrs(self):
        a = torch.Tensor(((6.80, -2.11, 5.66, 5.97, 8.23),
                          (-6.05, -3.30, 5.36, -4.44, 1.08),
                          (-0.45, 2.58, -2.70, 0.27, 9.04),
                          (8.32, 2.71, 4.35, -7.17, 2.14),
                          (-9.67, -5.14, -7.26, 6.08, -6.87))).t()
        b = torch.Tensor(((4.02, 6.19, -8.22, -7.57, -3.03),
                          (-1.56, 4.00, -8.67, 1.75, 2.86),
                          (9.81, -4.09, -4.57, -8.61, 8.99))).t()

        # make sure 'a' is symmetric PSD
        a = torch.mm(a, a.t())

        # upper Triangular Test
        U = torch.potrf(a)
        x = torch.potrs(b, U)
        self.assertLessEqual(b.dist(torch.mm(a, x)), 1e-12)

        # lower Triangular Test
        L = torch.potrf(a, False)
        x = torch.potrs(b, L, False)
        self.assertLessEqual(b.dist(torch.mm(a, x)), 1e-12)