| | from abc import abstractmethod |
| | from typing import Dict |
| |
|
| | import torch |
| | from coqpit import Coqpit |
| | from trainer import TrainerModel |
| |
|
| | |
| |
|
| |
|
| | class BaseTrainerModel(TrainerModel): |
| | """BaseTrainerModel model expanding TrainerModel with required functions by 🐸TTS. |
| | |
| | Every new 🐸TTS model must inherit it. |
| | """ |
| |
|
| | @staticmethod |
| | @abstractmethod |
| | def init_from_config(config: Coqpit): |
| | """Init the model and all its attributes from the given config. |
| | |
| | Override this depending on your model. |
| | """ |
| | ... |
| |
|
| | @abstractmethod |
| | def inference(self, input: torch.Tensor, aux_input={}) -> Dict: |
| | """Forward pass for inference. |
| | |
| | It must return a dictionary with the main model output and all the auxiliary outputs. The key ```model_outputs``` |
| | is considered to be the main output and you can add any other auxiliary outputs as you want. |
| | |
| | We don't use `*kwargs` since it is problematic with the TorchScript API. |
| | |
| | Args: |
| | input (torch.Tensor): [description] |
| | aux_input (Dict): Auxiliary inputs like speaker embeddings, durations etc. |
| | |
| | Returns: |
| | Dict: [description] |
| | """ |
| | outputs_dict = {"model_outputs": None} |
| | ... |
| | return outputs_dict |
| |
|
| | @abstractmethod |
| | def load_checkpoint( |
| | self, config: Coqpit, checkpoint_path: str, eval: bool = False, strict: bool = True, cache=False |
| | ) -> None: |
| | """Load a model checkpoint gile and get ready for training or inference. |
| | |
| | Args: |
| | config (Coqpit): Model configuration. |
| | checkpoint_path (str): Path to the model checkpoint file. |
| | eval (bool, optional): If true, init model for inference else for training. Defaults to False. |
| | strict (bool, optional): Match all checkpoint keys to model's keys. Defaults to True. |
| | cache (bool, optional): If True, cache the file locally for subsequent calls. It is cached under `get_user_data_dir()/tts_cache`. Defaults to False. |
| | """ |
| | ... |
| |
|