Source code for espnet2.train.abs_espnet_model

from abc import ABC, abstractmethod
from typing import Dict, Tuple

import torch

[docs]class AbsESPnetModel(torch.nn.Module, ABC): """The common abstract class among each tasks "ESPnetModel" is referred to a class which inherits torch.nn.Module, and makes the dnn-models forward as its member field, a.k.a delegate pattern, and defines "loss", "stats", and "weight" for the task. If you intend to implement new task in ESPNet, the model must inherit this class. In other words, the "mediator" objects between our training system and the your task class are just only these three values, loss, stats, and weight. Example: >>> from espnet2.tasks.abs_task import AbsTask >>> class YourESPnetModel(AbsESPnetModel): ... def forward(self, input, input_lengths): ... ... ... return loss, stats, weight >>> class YourTask(AbsTask): ... @classmethod ... def build_model(cls, args: argparse.Namespace) -> YourESPnetModel: """
[docs] @abstractmethod def forward( self, **batch: torch.Tensor ) -> Tuple[torch.Tensor, Dict[str, torch.Tensor], torch.Tensor]: raise NotImplementedError
[docs] @abstractmethod def collect_feats(self, **batch: torch.Tensor) -> Dict[str, torch.Tensor]: raise NotImplementedError