def METHOD_NAME(self):
    i = torch.tensor([[0, 1, 1], [2, 0, 2]], dtype=torch.long)
    v = torch.tensor([3, 4, 5], dtype=torch.float)
    sparse = torch.sparse.FloatTensor(i, v, torch.Size([2, 3]))
    dense = torch.randn(3, 3)
    res = linear_operator.dsmm(sparse, dense)
    actual = torch.mm(sparse.to_dense(), dense)
    self.assertLess(torch.norm(res - actual), 1e-5)