导入torchrl.data触发AttributeError: __provides__错误求助

环境信息 #

• Python：3.10.18
• 依赖版本：torch 2.5.0、torchrl 0.6.0
• 已排查操作：重建Anaconda环境、清理库缓存，问题未解决

触发场景 #

执行导入语句：

from torchrl.data import TensorDictReplayBuffer, LazyTensorStorage

抛出完整报错栈：

Traceback (most recent call last):   
File "D:\anaconda310\envs\example_stable\lib\runpy.py", line 196, in
_run_module_as_main
    return _run_code(code, main_globals, None,    
File "D:\anaconda310\envs\example_stable\lib\runpy.py", line 86, in
_run_code
    exec(code, run_globals)    
File "D:\repos\github\test\dashboard\dashboard_v2.py", line 65, in <module>
    from core.ProjectContainer import ProjectContainer   
File "D:\repos\github\test\core\__init__.py", line 55, in <module>
    from .ProjectContainer import ProjectContainer   
File "D:\repos\github\test\core\ProjectContainer.py", line 29, in <module>
    from Models.torchrl_workflow_manager import TorchRLWorkflowManager    
File "D:\repos\github\test\Models\torchrl_workflow_manager.py", line 60, in <module>
    raise e    
File "D:\repos\github\test\Models\torchrl_workflow_manager.py", line 45, in <module>
    from torchrl.data import TensorDictReplayBuffer, LazyTensorStorage    
File "D:\anaconda310\envs\example_stable\lib\site-packages\torchrl\__init__.py", line 49, in <module>
    import torchrl.collectors    
File "D:\anaconda310\envs\example_stable\lib\site-packages\torchrl\collectors\__init__.py", line 8, in <module>
    from .collectors import (   
File "D:\anaconda310\envs\example_stable\lib\site-packages\torchrl\collectors\collectors.py", line 304, in <module>
    class SyncDataCollector(DataCollectorBase):    
File "D:\anaconda310\envs\example_stable\lib\site-packages\torchrl\_utils.py", line 490, in accept_remote_rref_udf_invocation    method = getattr(decorated_class, name) 

AttributeError: __provides__. Did you mean: '__providedBy__'?

问题解答 #

1. 导入方式正确性 #

你的导入语句完全正确，TensorDictReplayBuffer和LazyTensorStorage确实属于torchrl.data模块，无需修改路径。

2. 是否为bug？ #

是版本兼容性bug。TorchRL 0.6.0的代码中依赖了PyTorch内部的__provides__属性，但PyTorch 2.5.0中该属性被重命名为__providedBy__，导致属性查找失败。

3. 解决办法 #

方案1：调整版本组合（推荐）

• 降级PyTorch到2.4.1，适配TorchRL 0.6.0：

  conda install pytorch==2.4.1 torchvision torchaudio cpuonly -c pytorch
  

• 或升级TorchRL到0.7.0及以上版本，适配PyTorch 2.5.0：

  pip install torchrl --upgrade
  

方案2：临时修改TorchRL源码（应急用）

找到环境中TorchRL的_utils.py文件（路径如D:\anaconda310\envs\example_stable\lib\site-packages\torchrl\_utils.py），定位到第490行附近的accept_remote_rref_udf_invocation装饰器代码，添加异常捕获处理：

# 原代码
method = getattr(decorated_class, name)

# 修改后
try:
    method = getattr(decorated_class, name)
except AttributeError:
    if name == "__provides__":
        method = getattr(decorated_class, "__providedBy__")
    else:
        raise

内容的提问来源于stack exchange，提问作者Steve Brother