使用joblib库spacy生成_Pickle.PicklingError：无法选择任务以将其发送给工作进程 [英] spacy with joblib library generates _pickle.PicklingError: Could not pickle the task to send it to the workers

问题描述

我有一个很大的句子列表(大约700万个)，我想从其中提取名词。

我使用joblib库来并行化提取过程，如下所示：

import spacy
from tqdm import tqdm
from joblib import Parallel, delayed
nlp = spacy.load('en_core_web_sm')

class nouns:

    def get_nouns(self, text):
        doc = nlp(u"{}".format(text))
        return [token.text for token in doc if token.tag_ in ['NN', 'NNP', 'NNS', 'NNPS']]

    def parallelize(self, sentences):
        results = Parallel(n_jobs=1)(delayed(self.get_nouns)(sent) for sent in tqdm(sentences))
        return results

if __name__ == '__main__':
    sentences = ['we went to the school yesterday',
                 'The weather is really cold',
                 'Can we catch the dog?',
                 'How old are you John?',
                 'I like diving and swimming',
                 'Can the world become united?']
    obj = nouns()
    print(obj.parallelize(sentences))

当PARALLEZIZE函数中的n_jobs大于1时，我收到以下长错误：

100%|██████████| 6/6 [00:00<00:00, 200.00it/s]
joblib.externals.loky.process_executor._RemoteTraceback: 
"""
Traceback (most recent call last):
  File "C:Python35libsite-packagesjoblibexternalslokyackendqueues.py", line 150, in _feed
    obj_ = dumps(obj, reducers=reducers)
  File "C:Python35libsite-packagesjoblibexternalslokyackend
eduction.py", line 243, in dumps
    dump(obj, buf, reducers=reducers, protocol=protocol)
  File "C:Python35libsite-packagesjoblibexternalslokyackend
eduction.py", line 236, in dump
    _LokyPickler(file, reducers=reducers, protocol=protocol).dump(obj)
  File "C:Python35libsite-packagesjoblibexternalscloudpicklecloudpickle.py", line 267, in dump
    return Pickler.dump(self, obj)
  File "C:Python35libpickle.py", line 408, in dump
    self.save(obj)
  File "C:Python35libpickle.py", line 520, in save
    self.save_reduce(obj=obj, *rv)
  File "C:Python35libpickle.py", line 623, in save_reduce
    save(state)
  File "C:Python35libpickle.py", line 475, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:Python35libpickle.py", line 810, in save_dict
    self._batch_setitems(obj.items())
  File "C:Python35libpickle.py", line 836, in _batch_setitems
    save(v)
  File "C:Python35libpickle.py", line 520, in save
    self.save_reduce(obj=obj, *rv)
  File "C:Python35libpickle.py", line 623, in save_reduce
    save(state)
  File "C:Python35libpickle.py", line 475, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:Python35libpickle.py", line 810, in save_dict
    self._batch_setitems(obj.items())
  File "C:Python35libpickle.py", line 841, in _batch_setitems
    save(v)
  File "C:Python35libpickle.py", line 520, in save
    self.save_reduce(obj=obj, *rv)
  File "C:Python35libpickle.py", line 623, in save_reduce
    save(state)
  File "C:Python35libpickle.py", line 475, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:Python35libpickle.py", line 810, in save_dict
    self._batch_setitems(obj.items())
  File "C:Python35libpickle.py", line 836, in _batch_setitems
    save(v)
  File "C:Python35libpickle.py", line 475, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:Python35libpickle.py", line 770, in save_list
    self._batch_appends(obj)
  File "C:Python35libpickle.py", line 797, in _batch_appends
    save(tmp[0])
  File "C:Python35libpickle.py", line 475, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:Python35libpickle.py", line 725, in save_tuple
    save(element)
  File "C:Python35libpickle.py", line 475, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:Python35libsite-packagesjoblibexternalscloudpicklecloudpickle.py", line 718, in save_instancemethod
    self.save_reduce(types.MethodType, (obj.__func__, obj.__self__), obj=obj)
  File "C:Python35libpickle.py", line 599, in save_reduce
    save(args)
  File "C:Python35libpickle.py", line 475, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:Python35libpickle.py", line 725, in save_tuple
    save(element)
  File "C:Python35libpickle.py", line 475, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:Python35libsite-packagesjoblibexternalscloudpicklecloudpickle.py", line 395, in save_function
    self.save_function_tuple(obj)
  File "C:Python35libsite-packagesjoblibexternalscloudpicklecloudpickle.py", line 594, in save_function_tuple
    save(state)
  File "C:Python35libpickle.py", line 475, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:Python35libpickle.py", line 810, in save_dict
    self._batch_setitems(obj.items())
  File "C:Python35libpickle.py", line 836, in _batch_setitems
    save(v)
  File "C:Python35libpickle.py", line 475, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:Python35libpickle.py", line 810, in save_dict
    self._batch_setitems(obj.items())
  File "C:Python35libpickle.py", line 841, in _batch_setitems
    save(v)
  File "C:Python35libpickle.py", line 520, in save
    self.save_reduce(obj=obj, *rv)
  File "C:Python35libpickle.py", line 623, in save_reduce
    save(state)
  File "C:Python35libpickle.py", line 475, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:Python35libpickle.py", line 810, in save_dict
    self._batch_setitems(obj.items())
  File "C:Python35libpickle.py", line 836, in _batch_setitems
    save(v)
  File "C:Python35libpickle.py", line 520, in save
    self.save_reduce(obj=obj, *rv)
  File "C:Python35libpickle.py", line 599, in save_reduce
    save(args)
  File "C:Python35libpickle.py", line 475, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:Python35libpickle.py", line 740, in save_tuple
    save(element)
  File "C:Python35libpickle.py", line 520, in save
    self.save_reduce(obj=obj, *rv)
  File "C:Python35libpickle.py", line 623, in save_reduce
    save(state)
  File "C:Python35libpickle.py", line 475, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:Python35libpickle.py", line 740, in save_tuple
    save(element)
  File "C:Python35libpickle.py", line 495, in save
    rv = reduce(self.proto)
  File "stringsource", line 2, in preshed.maps.PreshMap.__reduce_cython__
TypeError: self.c_map cannot be converted to a Python object for pickling
"""Exception in thread QueueFeederThread:
Traceback (most recent call last):
  File "C:Python35libsite-packagesjoblibexternalslokyackendqueues.py", line 150, in _feed
    obj_ = dumps(obj, reducers=reducers)
  File "C:Python35libsite-packagesjoblibexternalslokyackend
eduction.py", line 243, in dumps
    dump(obj, buf, reducers=reducers, protocol=protocol)
  File "C:Python35libsite-packagesjoblibexternalslokyackend
eduction.py", line 236, in dump
    _LokyPickler(file, reducers=reducers, protocol=protocol).dump(obj)
  File "C:Python35libsite-packagesjoblibexternalscloudpicklecloudpickle.py", line 267, in dump
    return Pickler.dump(self, obj)
  File "C:Python35libpickle.py", line 408, in dump
    self.save(obj)
  File "C:Python35libpickle.py", line 520, in save
    self.save_reduce(obj=obj, *rv)
  File "C:Python35libpickle.py", line 623, in save_reduce
    save(state)
  File "C:Python35libpickle.py", line 475, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:Python35libpickle.py", line 810, in save_dict
    self._batch_setitems(obj.items())
  File "C:Python35libpickle.py", line 836, in _batch_setitems
    save(v)
  File "C:Python35libpickle.py", line 520, in save
    self.save_reduce(obj=obj, *rv)
  File "C:Python35libpickle.py", line 623, in save_reduce
    save(state)
  File "C:Python35libpickle.py", line 475, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:Python35libpickle.py", line 810, in save_dict
    self._batch_setitems(obj.items())
  File "C:Python35libpickle.py", line 841, in _batch_setitems
    save(v)
  File "C:Python35libpickle.py", line 520, in save
    self.save_reduce(obj=obj, *rv)
  File "C:Python35libpickle.py", line 623, in save_reduce
    save(state)
  File "C:Python35libpickle.py", line 475, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:Python35libpickle.py", line 810, in save_dict
    self._batch_setitems(obj.items())
  File "C:Python35libpickle.py", line 836, in _batch_setitems
    save(v)
  File "C:Python35libpickle.py", line 475, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:Python35libpickle.py", line 770, in save_list
    self._batch_appends(obj)
  File "C:Python35libpickle.py", line 797, in _batch_appends
    save(tmp[0])
  File "C:Python35libpickle.py", line 475, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:Python35libpickle.py", line 725, in save_tuple
    save(element)
  File "C:Python35libpickle.py", line 475, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:Python35libsite-packagesjoblibexternalscloudpicklecloudpickle.py", line 718, in save_instancemethod
    self.save_reduce(types.MethodType, (obj.__func__, obj.__self__), obj=obj)
  File "C:Python35libpickle.py", line 599, in save_reduce
    save(args)
  File "C:Python35libpickle.py", line 475, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:Python35libpickle.py", line 725, in save_tuple
    save(element)
  File "C:Python35libpickle.py", line 475, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:Python35libsite-packagesjoblibexternalscloudpicklecloudpickle.py", line 395, in save_function
    self.save_function_tuple(obj)
  File "C:Python35libsite-packagesjoblibexternalscloudpicklecloudpickle.py", line 594, in save_function_tuple
    save(state)
  File "C:Python35libpickle.py", line 475, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:Python35libpickle.py", line 810, in save_dict
    self._batch_setitems(obj.items())
  File "C:Python35libpickle.py", line 836, in _batch_setitems
    save(v)
  File "C:Python35libpickle.py", line 475, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:Python35libpickle.py", line 810, in save_dict
    self._batch_setitems(obj.items())
  File "C:Python35libpickle.py", line 841, in _batch_setitems
    save(v)
  File "C:Python35libpickle.py", line 520, in save
    self.save_reduce(obj=obj, *rv)
  File "C:Python35libpickle.py", line 623, in save_reduce
    save(state)
  File "C:Python35libpickle.py", line 475, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:Python35libpickle.py", line 810, in save_dict
    self._batch_setitems(obj.items())
  File "C:Python35libpickle.py", line 836, in _batch_setitems
    save(v)
  File "C:Python35libpickle.py", line 520, in save
    self.save_reduce(obj=obj, *rv)
  File "C:Python35libpickle.py", line 599, in save_reduce
    save(args)
  File "C:Python35libpickle.py", line 475, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:Python35libpickle.py", line 740, in save_tuple
    save(element)
  File "C:Python35libpickle.py", line 520, in save
    self.save_reduce(obj=obj, *rv)
  File "C:Python35libpickle.py", line 623, in save_reduce
    save(state)
  File "C:Python35libpickle.py", line 475, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:Python35libpickle.py", line 740, in save_tuple
    save(element)
  File "C:Python35libpickle.py", line 495, in save
    rv = reduce(self.proto)
  File "stringsource", line 2, in preshed.maps.PreshMap.__reduce_cython__
TypeError: self.c_map cannot be converted to a Python object for pickling

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:Python35lib	hreading.py", line 914, in _bootstrap_inner
    self.run()
  File "C:Python35lib	hreading.py", line 862, in run
    self._target(*self._args, **self._kwargs)
  File "C:Python35libsite-packagesjoblibexternalslokyackendqueues.py", line 175, in _feed
    onerror(e, obj)
  File "C:Python35libsite-packagesjoblibexternalslokyprocess_executor.py", line 310, in _on_queue_feeder_error
    self.thread_wakeup.wakeup()
  File "C:Python35libsite-packagesjoblibexternalslokyprocess_executor.py", line 155, in wakeup
    self._writer.send_bytes(b"")
  File "C:Python35libmultiprocessingconnection.py", line 183, in send_bytes
    self._check_closed()
  File "C:Python35libmultiprocessingconnection.py", line 136, in _check_closed
    raise OSError("handle is closed")
OSError: handle is closed



The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File ".../playground.py", line 43, in <module>
    print(obj.Paralize(sentences))
  File ".../playground.py", line 32, in Paralize
    results = Parallel(n_jobs=2)(delayed(self.get_nouns)(sent) for sent in tqdm(sentences))
  File "C:Python35libsite-packagesjoblibparallel.py", line 934, in __call__
    self.retrieve()
  File "C:Python35libsite-packagesjoblibparallel.py", line 833, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "C:Python35libsite-packagesjoblib\_parallel_backends.py", line 521, in wrap_future_result
    return future.result(timeout=timeout)
  File "C:Python35libconcurrentfutures\_base.py", line 405, in result
    return self.__get_result()
  File "C:Python35libconcurrentfutures\_base.py", line 357, in __get_result
    raise self._exception
_pickle.PicklingError: Could not pickle the task to send it to the workers.

我的代码中有什么问题？

推荐答案

问：我的代码中有什么问题？

嗯，问题很可能不是来自代码，而是来自n_jobs指示(和joblib内部编排)准备那么多主进程的精确副本，以便让它们彼此独立工作(从而有效地摆脱Gil锁定并将多个进程流映射到物理硬件资源)时出现的"隐藏"处理。

此步骤负责复制所有蟒蛇对象，已知使用Pickle来执行此操作。Pickle模块以其历史主要限制而闻名，即哪些内容可以进行浸泡，哪些内容不能进行浸泡。

错误消息确认了这一点：

TypeError: self.c_map cannot be converted to a Python object for pickling

如果您的"有问题"的Python对象将使用此模块进行筛选而不引发此错误，则可以尝试使用技巧来提供Mike McKearnsdill模块，而不是Pickle和测试。

dill具有相同的API签名，因此纯import dill as pickle可能有助于使所有其他代码保持相同。

我也遇到了同样的问题，需要在多个进程之间分发大型模型，而dill是一种可行的方法。性能也有所提高。

奖励：dill允许保存/恢复完整的python解释器状态！

这是查找dill的一个很酷的副作用，一旦import dill as pickle完成，pickle.dump_session( <aFile> )将保存一个完整的Python解释器会话的状态完整副本。这可以根据需要进行恢复(崩溃后恢复、培训和优化的ML模型状态-完全保存/恢复、增量学习ML模型状态-完全保存并重新分发，用于部署的用户库的远程恢复等)。

这篇关于使用joblib库spacy生成_Pickle.PicklingError：无法选择任务以将其发送给工作进程的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！