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MemoryError after exceeding OpenMP/OpenBLAS thread limit

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难度
3/5
预计耗时
1-2 天
新手友好度
35/100
Issue 类型
缺陷
描述清晰度
基本清楚
活跃度
停滞
技术栈
python
领域
backend

调研方向

Start by reading _find_modules_with_dl_iterate_phdr in threadpoolctl.py, where the traceback reaches the MemoryError, and inspect how it discovers loaded native modules. Reproduce the failure after exceeding an OpenMP or OpenBLAS thread limit, then check whether the reported error can be recovered without rebooting. Done means the example in the issue runs successfully after recovery.

由索引模型根据 Issue 内容生成。

描述

Hello. I use threadpoolctl 2.2.0 which runs very well most of the time. However, after exceeding the OpenMP or OpenBLAS thread limit, threadpoolctl seems to have broken down. It does not recover even after the thread-limit-exceeding processes have been killed, or quite some time after that. The full error message of a simple example is shown below. Is there any way to reset threadpoolctl so it continues to function without having to reboot the computer?

Python 3.9.5 (default, Jun  4 2021, 12:28:51) 
Type 'copyright', 'credits' or 'license' for more information
IPython 7.24.1 -- An enhanced Interactive Python. Type '?' for help.

In [1]: from threadpoolctl import threadpool_limits
   ...: with threadpool_limits(limits=1):
   ...:     a=1
   ...: 
---------------------------------------------------------------------------
MemoryError                               Traceback (most recent call last)
<ipython-input-1-2121fc2c928d> in <module>
      1 from threadpoolctl import threadpool_limits
----> 2 with threadpool_limits(limits=1):
      3     a=1
      4 
~/.local/lib/python3.9/site-packages/threadpoolctl.py in __init__(self, limits, user_api)
    169             self._check_params(limits, user_api)
    170 
--> 171         self._original_info = self._set_threadpool_limits()
    172 
    173     def __enter__(self):

~/.local/lib/python3.9/site-packages/threadpoolctl.py in _set_threadpool_limits(self)
    266             return None
    267 
--> 268         modules = _ThreadpoolInfo(prefixes=self._prefixes,
    269                                   user_api=self._user_api)
    270         for module in modules:

~/.local/lib/python3.9/site-packages/threadpoolctl.py in __init__(self, user_api, prefixes, modules)
    338 
    339             self.modules = []
--> 340             self._load_modules()
    341             self._warn_if_incompatible_openmp()
    342         else:

~/.local/lib/python3.9/site-packages/threadpoolctl.py in _load_modules(self)
    373             self._find_modules_with_enum_process_module_ex()
    374         else:
--> 375             self._find_modules_with_dl_iterate_phdr()
    376 
    377     def _find_modules_with_dl_iterate_phdr(self):

~/.local/lib/python3.9/site-packages/threadpoolctl.py in _find_modules_with_dl_iterate_phdr(self)
    404             ctypes.c_int,  # Return type
    405             ctypes.POINTER(_dl_phdr_info), ctypes.c_size_t, ctypes.c_char_p)
--> 406         c_match_module_callback = c_func_signature(match_module_callback)
    407 
    408         data = ctypes.c_char_p(b"")

MemoryError: 
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这个项目没有提供开发容器、Dockerfile 或贡献指南,环境需要你自己搭建:先看它的 README,通用步骤见我们的新手贡献指南。

从这里开始

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  3. Fork 仓库,在一个分支上完成修改。
  4. 提交 Pull Request,并在描述里引用这个 Issue 编号。

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