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        使用 multiprocessing.pool.map 傳遞 kwargs

        passing kwargs with multiprocessing.pool.map(使用 multiprocessing.pool.map 傳遞 kwargs)

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                  本文介紹了使用 multiprocessing.pool.map 傳遞 kwargs的處理方法,對大家解決問題具有一定的參考價值,需要的朋友們下面隨著小編來一起學習吧!

                  問題描述

                  限時送ChatGPT賬號..

                  我想使用 Pool.map() 將關鍵字參數傳遞給我的工作函數.在搜索論壇時,我找不到明確的例子.

                  I would like to pass keyword arguments to my worker-function with Pool.map(). I can't find a clear example of this when searching forums.

                  示例代碼:

                  import multiprocessing as mp
                  
                  def worker((x,y), **kwargs):
                      kwarg_test = kwargs.get('kwarg_test', False)
                      print("kwarg_test = {}".format(kwarg_test))     
                      if kwarg_test:
                          print("Success")
                      return x*y
                  
                  def wrapper_process(**kwargs):
                      jobs = []
                      pool=mp.Pool(4)
                      for i, n in enumerate(range(4)):
                          jobs.append((n,i))
                      pool.map(worker, jobs) #works
                      pool.map(worker, jobs, kwargs) #how to do this?   
                  
                  def main(**kwargs):
                      worker((1,2),kwarg_test=True) #accepts kwargs
                      wrapper_process(kwarg_test=True)
                  
                  if __name__ == "__main__":    
                      main()
                  

                  輸出:

                  kwarg_test = True
                  Success
                  kwarg_test = False
                  kwarg_test = False
                  kwarg_test = False
                  kwarg_test = False
                  TypeError: unsupported operand type(s) for //: 'int' and 'dict'
                  

                  類型錯誤與解析 multiprocessing.Pool 或 Queue 中的參數有關,我嘗試了其他幾種語法,例如制作 kwargs 列表;[kwargs, kwargs, kwargs, kwargs],以及多次嘗試將 kwarg 包含在工作列表中,但沒有運氣.我從 map 到 map_async 跟蹤 multiprocessing.pool 中的代碼,并達到了task_batches = Pool._get_tasks(func, iterable, chunksize)當我遇到生成器結構時,在 pool.py 中.我很高興將來能進一步了解這方面的信息,但現在我只是想了解一下:

                  The type error has to do with parsing arguments inside of multiprocessing.Pool or Queue, and I have tried several other syntaxes, like making a list of the kwargs; [kwargs, kwargs, kwargs, kwargs], as well as several attempts to include the kwarg in the jobs list but no luck. I traced the code in multiprocessing.pool from map to map_async and got as far as task_batches = Pool._get_tasks(func, iterable, chunksize) in pool.py when I encountered the generator structure. I'm happy to learn more about this in future but for now I am just trying to find out:

                  是否有允許通過 pool.map 傳遞 kwargs 的簡單語法?

                  Is there a simple syntax for allowing the passing of kwargs with pool.map?

                  推薦答案

                  如果您想遍歷其他參數,請使用@ArcturusB 的答案.

                  If you want to iterate over the other arguments, use @ArcturusB's answer.

                  如果您只想傳遞它們,并且每次迭代都具有相同的值,那么您可以這樣做:

                  If you just want to pass them, having the same value for each iteration, then you can do this:

                  from functools import partial
                  pool.map(partial(worker, **kwargs), jobs)
                  

                  Partial 將參數綁定"到函數.但是,舊版本的 Python 不能序列化部分對象.

                  Partial 'binds' arguments to a function. Old versions of Python cannot serialize partial objects though.

                  這篇關于使用 multiprocessing.pool.map 傳遞 kwargs的文章就介紹到這了,希望我們推薦的答案對大家有所幫助,也希望大家多多支持html5模板網!

                  【網站聲明】本站部分內容來源于互聯網,旨在幫助大家更快的解決問題,如果有圖片或者內容侵犯了您的權益,請聯系我們刪除處理,感謝您的支持!

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                  multiprocessing.pool.MaybeEncodingError: #39;TypeError(quot;cannot serialize #39;_io.BufferedReader#39; objectquot;,)#39;(multiprocessing.pool.MaybeEncodingError: TypeError(cannot serialize _io.BufferedReader object,)) - IT屋-程序員軟件開
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