update

嘉渊

2023-04-25 7a3b8744859d8a6c81c56bf2979970b8f197cacb

 funasr/build_utils/build_trainer.py

@@ -75,14 +75,14 @@
    grad_clip: float
    grad_clip_type: float
    log_interval: Optional[int]
    no_forward_run: bool
    use_tensorboard: bool
    use_wandb: bool
    # no_forward_run: bool
    # use_tensorboard: bool
    # use_wandb: bool
    output_dir: Union[Path, str]
    max_epoch: int
    max_update: int
    seed: int
    sharded_ddp: bool
    # sharded_ddp: bool
    patience: Optional[int]
    keep_nbest_models: Union[int, List[int]]
    nbest_averaging_interval: int
@@ -90,7 +90,7 @@
    best_model_criterion: Sequence[Sequence[str]]
    val_scheduler_criterion: Sequence[str]
    unused_parameters: bool
    wandb_model_log_interval: int
    # wandb_model_log_interval: int
    use_pai: bool
    oss_bucket: Union[oss2.Bucket, None]

@@ -107,7 +107,6 @@
                 schedulers: Sequence[Optional[AbsScheduler]],
                 train_dataloader: AbsIterFactory,
                 valid_dataloader: AbsIterFactory,
                 trainer_options,
                 distributed_option: DistributedOption):
        self.trainer_options = self.build_options(args)
        self.model = model
@@ -115,7 +114,6 @@
        self.schedulers = schedulers
        self.train_dataloader = train_dataloader
        self.valid_dataloader = valid_dataloader
        self.trainer_options = trainer_options
        self.distributed_option = distributed_option

    def build_options(self, args: argparse.Namespace) -> TrainerOptions:
@@ -808,7 +806,6 @@
        schedulers: Sequence[Optional[AbsScheduler]],
        train_dataloader: AbsIterFactory,
        valid_dataloader: AbsIterFactory,
        trainer_options,
        distributed_option: DistributedOption
):
    trainer = Trainer(
@@ -818,7 +815,6 @@
        schedulers=schedulers,
        train_dataloader=train_dataloader,
        valid_dataloader=valid_dataloader,
        trainer_options=trainer_options,
        distributed_option=distributed_option
    )
    return trainer