test_torch.py 文件源码

def test_addmm(self):
        types = {
            'torch.DoubleTensor': 1e-8,
            'torch.FloatTensor': 1e-4,
        }
        for tname, _prec in types.items():
            M = torch.randn(10, 25).type(tname)
            m1 = torch.randn(10, 50).type(tname)
            m2 = torch.randn(50, 25).type(tname)
            res1 = torch.addmm(M, m1, m2)
            res2 = torch.zeros(10, 25).type(tname)
            res2 += M
            for i in range(10):
                for j in range(25):
                    for k in range(50):
                        res2[i, j] += m1[i, k] * m2[k, j]
            self.assertEqual(res1, res2)

        # Test 0-strided
        for tname, _prec in types.items():
            M = torch.randn(10, 1).type(tname).expand(10, 25)
            m1 = torch.randn(10, 1).type(tname).expand(10, 50)
            m2 = torch.randn(50, 25).type(tname)
            res1 = torch.addmm(M, m1, m2)
            res2 = torch.zeros(10, 25).type(tname)
            res2 += M
            for i in range(10):
                for j in range(25):
                    for k in range(50):
                        res2[i, j] += m1[i, k] * m2[k, j]
            self.assertEqual(res1, res2)