| from abc import ABC | |
| from abc import abstractmethod | |
| from collections import OrderedDict | |
| from typing import Tuple | |
| import torch | |
| class AbsDiarization(torch.nn.Module, ABC): | |
| # @abstractmethod | |
| # def output_size(self) -> int: | |
| # raise NotImplementedError | |
| def forward( | |
| self, | |
| input: torch.Tensor, | |
| ilens: torch.Tensor, | |
| ) -> Tuple[torch.Tensor, torch.Tensor, OrderedDict]: | |
| raise NotImplementedError | |
| def forward_rawwav( | |
| self, input: torch.Tensor, ilens: torch.Tensor | |
| ) -> Tuple[torch.Tensor, torch.Tensor, OrderedDict]: | |
| raise NotImplementedError | |