TianBian95 / BiGCN

Source Codes: Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks--AAAI 2020

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Getting freeze_support() error

jawad3692 opened this issue · comments

Hello I'm getting the following error when I run the command 'python ./model/Twitter/BiGCN_Weibo.py 100'
I've tested it on Colab, PyCharm, and by using WindowsShell

loading weibo label:
4664
2351 2313
reading Weibo tree
tree no: 4659
loading train set
train no: 3618
loading test set
test no: 909
0%| | 0/227 [00:00<?, ?it/s]loading weibo label:
4664
2351 2313
reading Weibo tree
tree no: 4659
loading train set
0%| | 0/227 [00:00<?, ?it/s]Traceback (most recent call last):
File "", line 1, in
File "C:\Users\User\AppData\Local\Programs\Python\Python38\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "C:\Users\User\AppData\Local\Programs\Python\Python38\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
File "C:\Users\User\AppData\Local\Programs\Python\Python38\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "C:\Users\User\AppData\Local\Programs\Python\Python38\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "C:\Users\User\AppData\Local\Programs\Python\Python38\lib\runpy.py", line 263, in run_path
return _run_module_code(code, init_globals, run_name,
File "C:\Users\User\AppData\Local\Programs\Python\Python38\lib\runpy.py", line 96, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "C:\Users\User\AppData\Local\Programs\Python\Python38\lib\runpy.py", line 86, in _run_code
exec(code, run_globals)
File "D:\BiGCN-master\BiGCN-master\model\Weibo\BiGCN_Weibo.py", line 216, in
train_losses, val_losses, train_accs, val_accs, accs_0, acc1_0, pre1_0, rec1_0, F1_0, acc2_0, pre2_0, rec2_0, F2_0 = train_GCN(treeDic,
File "D:\BiGCN-master\BiGCN-master\model\Weibo\BiGCN_Weibo.py", line 116, in train_GCN
for Batch_data in tqdm_train_loader:
File "D:\BiGCN-master\BiGCN-master\venv\lib\site-packages\tqdm\std.py", line 1097, in iter
for obj in iterable:
train no: 3626
loading test set
test no: 901
File "D:\BiGCN-master\BiGCN-master\venv\lib\site-packages\torch\utils\data\dataloader.py", line 359, in iter
return self._get_iterator()
File "D:\BiGCN-master\BiGCN-master\venv\lib\site-packages\torch\utils\data\dataloader.py", line 305, in _get_iterator
return _MultiProcessingDataLoaderIter(self)
File "D:\BiGCN-master\BiGCN-master\venv\lib\site-packages\torch\utils\data\dataloader.py", line 918, in init
w.start()
File "C:\Users\User\AppData\Local\Programs\Python\Python38\lib\multiprocessing\process.py", line 121, in start
self._popen = self._Popen(self)
File "C:\Users\User\AppData\Local\Programs\Python\Python38\lib\multiprocessing\context.py", line 224, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\User\AppData\Local\Programs\Python\Python38\lib\multiprocessing\context.py", line 326, in _Popen
return Popen(process_obj)
File "C:\Users\User\AppData\Local\Programs\Python\Python38\lib\multiprocessing\popen_spawn_win32.py", line 45, in init
prep_data = spawn.get_preparation_data(process_obj._name)
File "C:\Users\User\AppData\Local\Programs\Python\Python38\lib\multiprocessing\spawn.py", line 154, in get_preparation_data
_check_not_importing_main()
File "C:\Users\User\AppData\Local\Programs\Python\Python38\lib\multiprocessing\spawn.py", line 134, in _check_not_importing_main
raise RuntimeError('''
RuntimeError:
An attempt has been made to start a new process before the
current process has finished its bootstrapping phase.

    This probably means that you are not using fork to start your
    child processes and you have forgotten to use the proper idiom
    in the main module:

        if __name__ == '__main__':
            freeze_support()
            ...

    The "freeze_support()" line can be omitted if the program
    is not going to be frozen to produce an executable.

0%| | 0/227 [00:00<?, ?it/s]

this problem can be used remove Dataloader's parameter——number_works to solve. Windows' environment can not support multithreads.