python：TypeError: __init__() got an unexpected keyword argument 'early_stop_callback'

Question

问题遇到的现象和发生背景

问题相关代码，请勿粘贴截图

这是train.py的相关代码

    trainer = pl.Trainer(max_epochs=conf['training']['epochs'],
                         checkpoint_callback=checkpoint,
                         resume_from_checkpoint=best_model_path,
                         early_stop_callback=early_stopping,
                         default_save_path=exp_dir,
                         gpus=gpus,
                         distributed_backend='dp',
                         train_percent_check=1.0,  # Useful for fast experiment
                         gradient_clip_val=5.)
    trainer.fit(system)

这是env_vars_connector.py的代码：

def _defaults_from_env_vars(fn: Callable) -> Callable:
    """Decorator for :class:`~pytorch_lightning.trainer.trainer.Trainer` methods for which input arguments should
    be moved automatically to the correct device."""

    @wraps(fn)
    def insert_env_defaults(self, *args, **kwargs):
        cls = self.__class__  # get the class
        if args:  # inace any args passed move them to kwargs
            # parse only the argument names
            cls_arg_names = [arg[0] for arg in get_init_arguments_and_types(cls)]
            # convert args to kwargs
            kwargs.update(dict(zip(cls_arg_names, args)))
        env_variables = vars(parse_env_variables(cls))
        # update the kwargs by env variables
        kwargs = dict(list(env_variables.items()) + list(kwargs.items()))

        # all args were already moved to kwargs
        return fn(self, **kwargs)

    return insert_env_defaults

运行结果及报错内容

File "train.py", line 93, in main
    trainer = pl.Trainer(max_epochs=conf['training']['epochs'],
  File "C:\Users\SASPL-1\anaconda3\envs\zx_38\lib\site-packages\pytorch_lightning\trainer\connectors\env_vars_connector.py", line 38, in insert_env_defaults
    return fn(self, **kwargs)
TypeError: __init__() got an unexpected keyword argument 'early_stop_callback'

我的解答思路和尝试过的方法

请问这是什么问题呢？？

Answer 1

Trainer需要传的参数里没有early_stop_callback这个参数需要传，可以检查是否拼写错误