def create_lazy_tensor(self): mat1 = make_random_mat(6, rank=6, batch_shape=torch.Size(( 2, 3, ))) mat2 = make_random_mat(6, rank=6, batch_shape=torch.Size(( 2, 3, ))) res = RootLazyTensor(mat1) * RootLazyTensor(mat2) return res.add_diag(torch.tensor(0.5))
def create_lazy_tensor(self): mat1 = make_random_mat(6, 6) mat2 = make_random_mat(6, 6) res = RootLazyTensor(mat1) * RootLazyTensor(mat2) return res.add_diag(torch.tensor(2.0))