Closed 1995lb closed 8 months ago
Hey there 👋 which hands on are you working on?
If you use huggingface_sb3 we didn't published the new release yet but you can install it using pip install git+https://github.com/huggingface/huggingface_sb3@gymnasium-v2
Edit, we published the new release you can install using pip install huggingface-sb3
Edit, we published the new release you can install using pip install huggingface-sb3 Thanks,I will try it again.
facing same issue, working on unit 6, cpu windows, 64.
tried installing latest version of huggingface-sb3, did not work.
AttributeError: 'dict' object has no attribute 'env_specs'
short snippet of traceback
following git issue may help - https://github.com/openai/gym/issues/3097
File [c:\Users\Admin\Desktop\work\huggingface\.conda\Lib\site-packages\huggingface_sb3\push_to_hub.py:104](file:///C:/Users/Admin/Desktop/work/huggingface/.conda/Lib/site-packages/huggingface_sb3/push_to_hub.py:104), in is_atari(env_id)
98 def is_atari(env_id: str) -> bool:
99 """
100 Check if the environment is an Atari one
101 (Taken from RL-Baselines3-zoo)
102 :param env_id: name of the environment
103 """
--> 104 entry_point = gym.envs.registry.env_specs[env_id].entry_point
105 return "AtariEnv" in str(entry_point)
Which version of huggingface-sb3 you have?
Did not specify perticular version, so should pull latest 2.3
Hey there 👋 did you tried again with the update v3.0?
yes, but i got the same result,maybe i did something wrong.
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------------------ 原始邮件 ------------------ 发件人: "Thomas @.>; 发送时间: 2023年9月13日(星期三) 下午5:18 收件人: @.>; 抄送: @.>; @.>; 主题: Re: [huggingface/deep-rl-class] [HANDS-ON BUG]AttributeError: 'dict' object has no attribute 'env_specs' (Issue #383)
Hey there 👋 did you tried again with the update v3.0?
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Describe the bug
A bug happens when i try to upload my model to hub,the error just likes this: 22 eval_env = DummyVecEnv([lambda: Monitor(gym.make(env_id, render_mode="rgb_array"))]) ---> 24 package_to_hub( 26 model=model, 28 model_name=model_name, 30 model_architecture=model_architecture, 32 env_id=env_id, 34 eval_env=eval_env, 36 repo_id=repo_id, 37 commit_message=commit_message, 38 )
File /opt/conda/lib/python3.10/site-packages/huggingface_sb3/push_to_hub.py:366, in package_to_hub(model, model_name, model_architecture, env_id, eval_env, repo_id, commit_message, is_deterministic, n_eval_episodes, token, video_length, logs) 364 # Deterministic by default (except for Atari) 365 if is_deterministic: --> 366 is_deterministic = not is_atari(env_id) 368 # Step 2: Create a config file 369 _generate_config(model_name, tmpdirname)
File /opt/conda/lib/python3.10/site-packages/huggingface_sb3/push_to_hub.py:104, in is_atari(env_id) 98 def is_atari(env_id: str) -> bool: 99 """ 100 Check if the environment is an Atari one 101 (Taken from RL-Baselines3-zoo) 102 :param env_id: name of the environment 103 """ --> 104 entry_point = gym.envs.registry.env_specs[env_id].entry_point 105 return "AtariEnv" in str(entry_point)
AttributeError: 'dict' object has no attribute 'env_specs'
i have done some search,the version of gym may not match.
Material
If not: i am using kaggle, gpu T4