| import torch | |
| t = torch.tensor([[3.0, 1.5], [2.0, 1.5]]) | |
| t_sort = t.sort() | |
| t_sort[0][0, 0] == 1.5 # noqa: B015 | |
| t_sort.indices[0, 0] == 1 # noqa: B015 | |
| t_sort.values[0, 0] == 1.5 # noqa: B015 | |
| reveal_type(t_sort) # E: Tuple[{Tensor}, {Tensor}, fallback=torch._C.namedtuple_values_indices] | |
| t_qr = torch.qr(t) | |
| t_qr[0].shape == [2, 2] # noqa: B015 | |
| t_qr.Q.shape == [2, 2] # noqa: B015 | |
| reveal_type(t_qr) # E: Tuple[{Tensor}, {Tensor}, fallback=torch._C._VariableFunctions.namedtuple_Q_R] |