espnet2.tasks.slu.SLUTask

source

class espnet2.tasks.slu.SLUTask

Bases: ASRTask

classmethod add_task_arguments(parser: ArgumentParser)

classmethod build_model(args: Namespace) → ESPnetSLUModel

classmethod build_preprocess_fn(args: Namespace, train: bool) → Callable[[str, Dict[str, array]], Dict[str, ndarray]] | None

class_choices_list : List[[ClassChoices](../train/ClassChoices.md#espnet2.train.class_choices.ClassChoices)] = [<espnet2.train.class_choices.ClassChoices object>, <espnet2.train.class_choices.ClassChoices object>, <espnet2.train.class_choices.ClassChoices object>, <espnet2.train.class_choices.ClassChoices object>, <espnet2.train.class_choices.ClassChoices object>, <espnet2.train.class_choices.ClassChoices object>, <espnet2.train.class_choices.ClassChoices object>, <espnet2.train.class_choices.ClassChoices object>, <espnet2.train.class_choices.ClassChoices object>, <espnet2.train.class_choices.ClassChoices object>]

num_optimizers : int = 1

classmethod optional_data_names(train: bool = True, inference: bool = False) → Tuple[str, ...]

Define the optional names by Task

This function is used by

cls.check_task_requirements() If your model is defined as follows,

>>> from espnet2.train.abs_espnet_model import AbsESPnetModel
>>> class Model(AbsESPnetModel):
...     def forward(self, input, output, opt=None):  pass

then “optional_data_names” should be as

>>> optional_data_names = ('opt',)

classmethod required_data_names(train: bool = True, inference: bool = False) → Tuple[str, ...]

Define the required names by Task

This function is used by

cls.check_task_requirements() If your model is defined as following,

>>> from espnet2.train.abs_espnet_model import AbsESPnetModel
>>> class Model(AbsESPnetModel):
...     def forward(self, input, output, opt=None):  pass

then “required_data_names” should be as

>>> required_data_names = ('input', 'output')

trainer

alias of Trainer