f9d0d6c62c94d08c583e52cc4b08634b31df3f06,pytext/trainers/trainer.py,Trainer,__init__,#Trainer#Any#Any#,89

Before Change

        scheduler: Optional[Scheduler.Config] = None

    def __init__(self, config: Config, model: torch.nn.Module):
        self.optimizer: torch.optim.Optimizer = precision.wrap_optimizer(
            create_optimizer(config.optimizer, model)
        )
        self.scheduler: torch.optim.lr_scheduler = (
            create_scheduler(config.scheduler, self.optimizer)
            if config.scheduler

After Change

        scheduler: Optional[Scheduler.Config] = None

    def __init__(self, config: Config, model: torch.nn.Module):
        optimizer: torch.optim.Optimizer = create_optimizer(config.optimizer, model)
        self.scheduler: torch.optim.lr_scheduler = (
            create_scheduler(config.scheduler, optimizer)
            if config.scheduler
            else Scheduler()

Instances