进程创建后不能启动

[silkyrose]

主程序main-makespan.py在windows下执行
已增加：
if name == 'main':
freeze_support()
可以看到Process创建了13个进程，但是第一进程就不能start()
报错说它不能转换为数值

 for i in range(n_episode):
     algorithm = RLAlgorithm(agent, reward_giver, features_extract_func=features_extract_func,
                             features_normalize_func=features_normalize_func)
     episode = Episode(machine_configs, jobs_configs, algorithm, None)
     algorithm.reward_giver.attach(episode.simulation)
     p = Process(target=multiprocessing_run,
                 args=(episode, trajectories, makespans, average_completions, average_slowdowns))
     p.start()
     p.join()
 #

WARNING:tensorflow:From C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\training\checkpointable\util.py:1858: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
Traceback (most recent call last):
File "E:/DPL/CloudSimPy-master/CloudSimPy-master/playground/Non_DAG/launch_scripts/main-makespan.py", line 93, in
pj.start()
File "C:\ProgramData\Anaconda3\lib\multiprocessing\process.py", line 112, in start
self._popen = self._Popen(self)
File "C:\ProgramData\Anaconda3\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\ProgramData\Anaconda3\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "C:\ProgramData\Anaconda3\lib\multiprocessing\popen_spawn_win32.py", line 65, in init
reduction.dump(process_obj, to_child)
File "C:\ProgramData\Anaconda3\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 745, in reduce
return (convert_to_tensor, (self.numpy(),))
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 724, in numpy
raise ValueError("Resource handles are not convertible to numpy.")
ValueError: Resource handles are not convertible to numpy.

[HaodaY]

我也遇到了这个问题，请问你解决了吗？

[silkyrose]

你好： 我还没有解决，你呢？ p.start() return convert_to_tensor, (self._numpy(),)ValueError: Cannot convert a Tensor of dtype resource to a NumPy array.

…

--------------------------------

------------ Best Regards！王瑾M: +86 13805156041 E: sophie_icon@sina.com

----- 原始邮件 ----- 发件人：HaodaY <notifications@github.com> 收件人：RobertLexis/CloudSimPy <CloudSimPy@noreply.github.com> 抄送人：silkyrose <sophie_icon@sina.com>, Author <author@noreply.github.com> 主题：Re:_[RobertLexis/CloudSimPy]_进程创建后不能启动_(#7) 日期：2020年02月13日 14点18分 我也遇到了这个问题，请问你解决了吗？ — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.

[HaodaY]

我改成用单进程去运行了

[silkyrose]

我知道是哪里的问题，episode这个对象不能作为process函数的参数传进去。但是我不会改，试图把episode转换为json字符串，在multiprocess函数里面再转回为对象，但是没成功 --------------------------------

…

------------ Best Regards！王瑾M: +86 13805156041 E: sophie_icon@sina.com

----- 原始邮件 ----- 发件人：HaodaY <notifications@github.com> 收件人：RobertLexis/CloudSimPy <CloudSimPy@noreply.github.com> 抄送人：silkyrose <sophie_icon@sina.com>, Author <author@noreply.github.com> 主题：Re:_[RobertLexis/CloudSimPy]_进程创建后不能启动_(#7) 日期：2020年02月27日 22点30分 我改成用单进程去运行了 — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.

[silkyrose]

作者看到了也不出来说几句。。。。。。

[Mikey2266]

    for i in range(n_episode):
        algorithm = RLAlgorithm(agent, reward_giver, features_extract_func=features_extract_func,
                                features_normalize_func=features_normalize_func)
        episode = Episode(machine_configs, jobs_configs, algorithm, None)
        algorithm.reward_giver.attach(episode.simulation)

        multiprocessing_run(episode, trajectories, makespans, average_completions, average_slowdowns)
    #     p = Process(target=multiprocessing_run,
    #                 args=(episode, trajectories, makespans, average_completions, average_slowdowns))
    # 
    #     processes.append(p)
    # 
    # for p in processes:
    #     p.start()
    # 
    # for p in processes:
    #     p.join()

[taichanghong]

我改成用单进程去运行了

请问是怎样操作的？