Closed silkyrose closed 4 years ago
我也遇到了这个问题,请问你解决了吗?
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?
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我改成用单进程去运行了
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
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作者看到了也不出来说几句。。。。。。
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()
我改成用单进程去运行了
请问是怎样操作的?
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
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.