test_torch.py 文件源码

def test_inverse(self):
        M = torch.randn(5,5)
        MI = torch.inverse(M)
        E = torch.eye(5)
        self.assertFalse(MI.is_contiguous(), 'MI is contiguous')
        self.assertEqual(E, torch.mm(M, MI), 1e-8, 'inverse value')
        self.assertEqual(E, torch.mm(MI, M), 1e-8, 'inverse value')

        MII = torch.Tensor(5, 5)
        torch.inverse(MII, M)
        self.assertFalse(MII.is_contiguous(), 'MII is contiguous')
        self.assertEqual(MII, MI, 0, 'inverse value in-place')
        # second call, now that MII is transposed
        torch.inverse(MII, M)
        self.assertFalse(MII.is_contiguous(), 'MII is contiguous')
        self.assertEqual(MII, MI, 0, 'inverse value in-place')