使用带有 tune.with_parameters 的 Trainable 类时出现 Ray Tune 错误

如何解决使用带有 tune.with_parameters 的 Trainable 类时出现 Ray Tune 错误

使用来自 tune 文档本身的非常简单的示例：

from ray import tune
import numpy as np
class MyTrainable(tune.Trainable):
    def setup(self,config,dataset=None):
        print(config,dataset)
        self.dataset = dataset
        self.iter = iter(self.dataset)
        self.next_sample = next(self.iter)

    def step(self):
        loss = 0.1
        return {"loss": loss,done: True}

tune.run(
    tune.with_parameters(MyTrainable,dataset=np.ones([1,])),)

https://docs.ray.io/en/master/tune/api_docs/trainable.html?highlight=with_parameters#tune-with-parameters

返回错误：

TypeError: init() 得到了一个意外的关键字参数 'dataset'

完整：

Failure # 1 (occurred at 2021-07-04_14-56-21)
Traceback (most recent call last):
  File "/users/username/miniconda3/envs/EnvName/lib/python3.8/site-packages/ray/tune/trial_runner.py",line 586,in _process_trial
    results = self.trial_executor.fetch_result(trial)
  File "/users/username/miniconda3/envs/EnvName/lib/python3.8/site-packages/ray/tune/ray_trial_executor.py",line 609,in fetch_result
    result = ray.get(trial_future[0],timeout=DEFAULT_GET_TIMEOUT)
  File "/users/username/miniconda3/envs/EnvName/lib/python3.8/site-packages/ray/_private/client_mode_hook.py",line 47,in wrapper
    return func(*args,**kwargs)
  File "/users/username/miniconda3/envs/EnvName/lib/python3.8/site-packages/ray/worker.py",line 1456,in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(TuneError): [36mray::ImplicitFunc.train_buffered()[39m (pid=239786,ip=10.10.5.103)
  File "python/ray/_raylet.pyx",line 480,in ray._raylet.execute_task
  File "python/ray/_raylet.pyx",line 432,in ray._raylet.execute_task.function_executor
  File "/users/username/miniconda3/envs/EnvName/lib/python3.8/site-packages/ray/tune/trainable.py",line 167,in train_buffered
    result = self.train()
  File "/users/username/miniconda3/envs/EnvName/lib/python3.8/site-packages/ray/tune/trainable.py",line 226,in train
    result = self.step()
  File "/users/username/miniconda3/envs/EnvName/lib/python3.8/site-packages/ray/tune/function_runner.py",line 366,in step
    self._report_thread_runner_error(block=True)
  File "/users/username/miniconda3/envs/EnvName/lib/python3.8/site-packages/ray/tune/function_runner.py",line 512,in _report_thread_runner_error
    raise TuneError(
ray.tune.error.TuneError: Trial raised an exception. Traceback:
[36mray::ImplicitFunc.train_buffered()[39m (pid=239786,ip=10.10.5.103)
  File "/users/username/miniconda3/envs/EnvName/lib/python3.8/site-packages/ray/tune/function_runner.py",line 248,in run
    self._entrypoint()
  File "/users/username/miniconda3/envs/EnvName/lib/python3.8/site-packages/ray/tune/function_runner.py",line 315,in entrypoint
    return self._trainable_func(self.config,self._status_reporter,File "/users/username/miniconda3/envs/EnvName/lib/python3.8/site-packages/ray/tune/function_runner.py",line 576,in _trainable_func
    output = fn()
  File "/users/username/miniconda3/envs/EnvName/lib/python3.8/site-packages/ray/tune/function_runner.py",line 651,in _inner
    inner(config,checkpoint_dir=None)
  File "/users/username/miniconda3/envs/EnvName/lib/python3.8/site-packages/ray/tune/function_runner.py",line 645,in inner
    fn(config,**fn_kwargs)
TypeError: __init__() got an unexpected keyword argument 'dataset'

我使用的是 ray 版本 1.2.0。

非常感谢帮助。

解决方法

你可以尝试升级 Ray 吗？最新版本是1.4.1，你链接的文档来自最新的master。在 1.2.0 中，tune.with_parameters 仅支持函数可训练。 只需运行 pip install -U ray 就可以了。