# TuneError: Improper 'run' - not string nor trainable **URL:** \ **Category:** RLlib\ **Created:** [November 7, 2022, 9:36am UTC](https://discuss.ray.io/t/tuneerror-improper-run-not-string-nor-trainable/8154 "2022-11-07T09:36:13Z")\ **Posts on this page:** 5\ **Page:** 1
**Author:** ![Alexander\_Alexandrov](https://sea2.discourse-cdn.com/flex020/user_avatar/discuss.ray.io/alexander_alexandrov/32/2033_2.png) [@Alexander\_Alexandrov](https://discuss.ray.io/u/Alexander_Alexandrov)\ **Post date:** [November 7, 2022, 9:36am UTC](https://discuss.ray.io/t/tuneerror-improper-run-not-string-nor-trainable/8154/1 "2022-11-07T09:36:13Z")
```auto mario_config={ "env": "mario", "framework": "torch", "env_config": {}, "num_gpus": 1, "num_workers": 5, # кол-во паралельно запущенных агентов "lr": 0.0001, "rollout_fragment_length": 20, # минибатч. Из них состоить основной батч сайз (минимальная единица батча) "train_batch_size": 400, # Основной батч. Он формируется из минибатчсайза, перебирая минибатчсайз "num_cpus_per_worker": 0, "num_gpus_per_worker": 0.2, "gamma": 0.99, "batch_mode": "truncate_episodes", # complete_episodes "shuffle_buffer_size": 10, # перемешивать батчи с такой минимальной длиной "recreate_failed_workers": True, "horizon": 8000, #"output": "/content/drive/My Drive/...", } register_env('mario', lambda config: Mario(config)) algo = ppo.PPO(config=mario_config, env="mario") search_space = { "lr": hp.loguniform("lr", 1e-10, 0.1) } hyperopt_search = HyperOptSearch(search_space, metric="mean_accuracy", mode="max") tuner = tune.Tuner( algo, tune_config=tune.TuneConfig( num_samples=20, scheduler=ASHAScheduler(metric="mean_accuracy", mode="max"), ), param_space=search_space, ) results = tuner.fit() ``` Error Traceback: ```auto --------------------------------------------------------------------------- TuneError Traceback (most recent call last) in 5 scheduler=ASHAScheduler(metric="mean_accuracy", mode="max"), 6 ), ----> 7 param_space=search_space, 8 ) 9 results = tuner.fit() 4 frames /usr/local/lib/python3.7/dist-packages/ray/tune/tuner.py in __init__ (self, trainable, param_space, tune_config, run_config, _tuner_kwargs, _tuner_internal) 142 kwargs.pop(_SELF, None) 143 if not self._is_ray_client: --> 144 self._local_tuner = TunerInternal(**kwargs) 145 else: 146 self._remote_tuner = _force_on_current_node( /usr/local/lib/python3.7/dist-packages/ray/tune/impl/tuner_internal.py in __init__ (self, restore_path, resume_config, trainable, param_space, tune_config, run_config, _tuner_kwargs) 102 self._tuner_kwargs = copy.deepcopy(_tuner_kwargs) or {} 103 self._experiment_checkpoint_dir = self._setup_create_experiment_checkpoint_dir( --> 104 self._run_config 105 ) 106 /usr/local/lib/python3.7/dist-packages/ray/tune/impl/tuner_internal.py in _setup_create_experiment_checkpoint_dir(self, run_config) 256 self._convert_trainable(self._trainable), 257 run_config.local_dir, --> 258 run_config.name, 259 ) 260 if not os.path.exists(path): /usr/local/lib/python3.7/dist-packages/ray/tune/experiment/experiment.py in get_experiment_checkpoint_dir(cls, run_obj, local_dir, name) 387 assert run_obj 388 local_dir = _get_local_dir_with_expand_user(local_dir) --> 389 run_identifier = cls.get_trainable_name(run_obj) 390 combined_name = name or run_identifier 391 /usr/local/lib/python3.7/dist-packages/ray/tune/experiment/experiment.py in get_trainable_name(cls, run_object) 328 return name 329 else: --> 330 raise TuneError("Improper 'run' - not string nor trainable.") 331 332 @classmethod TuneError: Improper 'run' - not string nor trainable. ``` Will be appreciated for any help 🙂 ---
**Author:** ![xwjiang2010](https://sea2.discourse-cdn.com/flex020/user_avatar/discuss.ray.io/xwjiang2010/32/1476_2.png) [@xwjiang2010](https://discuss.ray.io/u/xwjiang2010)\ **Post date:** [November 7, 2022, 9:54pm UTC](https://discuss.ray.io/t/tuneerror-improper-run-not-string-nor-trainable/8154/2 "2022-11-07T21:54:45Z")
Hi, Could you take a look at the PPO training/tuning example here? [Training APIs — Ray 2.0.1](https://docs.ray.io/en/latest/rllib/rllib-training.html#basic-python-api) That should answer the question. In short, one can either do `tuner = Tuner("ppo", param_space={# ppo.config that you want to tune can go here})` or wrap `ppo.train()` in a self-made training function, and supply that training function to Tune. ---
**Author:** ![Alexander\_Alexandrov](https://sea2.discourse-cdn.com/flex020/user_avatar/discuss.ray.io/alexander_alexandrov/32/2033_2.png) [@Alexander\_Alexandrov](https://discuss.ray.io/u/Alexander_Alexandrov)\ **Post date:** [November 8, 2022, 4:01am UTC](https://discuss.ray.io/t/tuneerror-improper-run-not-string-nor-trainable/8154/3 "2022-11-08T04:01:07Z")
Thanx for your answer. But i do not believe i get it right. In other words i can either do: ```auto algo = ppo.PPO(...) algo.train() ``` or ```auto search_space = { "lr": hp.loguniform("lr", 1e-10, 0.1) } hyperopt_search = HyperOptSearch(search_space, metric="mean_accuracy", mode="max") tuner = tune.Tuner( algo, tune_config=tune.TuneConfig( num_samples=20, scheduler=ASHAScheduler(metric="mean_accuracy", mode="max"), ), param_space=search_space, ) results = tuner.fit() ``` Two things im not sure i got right: what do you mean by wrap ppo.train in a self-made training function. Could you send link. I looked through documentation. Code from there works great. But i do not understand how to wrap/pass it into Tune. Thanks for your time and consideration)) ---
**Author:** ![xwjiang2010](https://sea2.discourse-cdn.com/flex020/user_avatar/discuss.ray.io/xwjiang2010/32/1476_2.png) [@xwjiang2010](https://discuss.ray.io/u/xwjiang2010)\ **Post date:** [November 9, 2022, 12:09am UTC](https://discuss.ray.io/t/tuneerror-improper-run-not-string-nor-trainable/8154/4 "2022-11-09T00:09:01Z")
wrap ppo.train in a self-contained function → take a look [here](https://github.com/ray-project/ray/blob/master/rllib/examples/custom_experiment.py). or you can do ```auto tuner = tuner.Tuner("ppo", tune_config=..., param_space={"lr": tune.grid_search([0.01, 0.001]})) result = tuner.fit() ``` ---
**Author:** ![xwjiang2010](https://sea2.discourse-cdn.com/flex020/user_avatar/discuss.ray.io/xwjiang2010/32/1476_2.png) [@xwjiang2010](https://discuss.ray.io/u/xwjiang2010)\ **Post date:** [November 9, 2022, 12:09am UTC](https://discuss.ray.io/t/tuneerror-improper-run-not-string-nor-trainable/8154/5 "2022-11-09T00:09:27Z")
note for the 2nd way, it has to be “ppo” as a **string**.