I have some trouble in running the "eval_diversity_image.py"
Closed this issue · 3 comments
When i try to run the "eval_diversity_image.py" with "python eval_diversity_image.py --model resnet50 --dataset CIFAR10 --criterion NC ", the error information is as follows.
I guess it's because of memory limitations ?
PS F:\xxxxx\xxxxx\xxxxx\xxxxx\xxxxx\NeuraL-Coverage> python eval_diversity_image.py --model resnet50 --dataset CIFAR10 --criterion NC
--hyper 0.75
Dataset: CIFAR10
Model: resnet50
Criterion: NC
Hyper-parameter: 0.75
Total 50000 Data.
Total 10000 Data.
Total 54 layers:
Total 26570 neurons:
Initial coverage: 0
Dataset: CIFAR10
Model: resnet50
Criterion: NC
Hyper-parameter: 0.75
Total 50000 Data.
Total 10000 Data.
Total 54 layers:
Total 26570 neurons:
Initial coverage: 0
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "D:\python3.8.10\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "D:\python3.8.10\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
File "D:\python3.8.10\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\python3.8.10\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "D:\python3.8.10\lib\runpy.py", line 265, in run_path
return _run_module_code(code, init_globals, run_name,
File "D:\python3.8.10\lib\runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "D:\python3.8.10\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
File "F:\xxxxx\xxxxx\xxxxx\xxxxx\xxxxx\NeuraL-Coverage\eval_diversity_image.py", line 99, in <module>
for i, (old_image, label) in enumerate(seed_loader):
File "D:\python3.8.10\lib\site-packages\torch\utils\data\dataloader.py", line 441, in __iter__
return self._get_iterator()
File "D:\python3.8.10\lib\site-packages\torch\utils\data\dataloader.py", line 388, in _get_iterator
return _MultiProcessingDataLoaderIter(self)
File "D:\python3.8.10\lib\site-packages\torch\utils\data\dataloader.py", line 1042, in __init__
w.start()
File "D:\python3.8.10\lib\multiprocessing\process.py", line 121, in start
self._popen = self._Popen(self)
File "D:\python3.8.10\lib\multiprocessing\context.py", line 224, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "D:\python3.8.10\lib\multiprocessing\context.py", line 327, in _Popen
return Popen(process_obj)
File "D:\python3.8.10\lib\multiprocessing\popen_spawn_win32.py", line 45, in __init__
prep_data = spawn.get_preparation_data(process_obj._name)
File "D:\python3.8.10\lib\multiprocessing\spawn.py", line 154, in get_preparation_data
_check_not_importing_main()
File "D:\python3.8.10\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.
I was so anxious to ask the question that I didn't think much. Maybe you just need to add the if __name__ == '__main__': freeze_support()
statement to run successfully
Hi @laobameishijia ,
Can you provide more information on how you run the script? I cannot reproduce the error and everything goes well on my end.
Best,
Yuanyuan
Hi @ooorin .Sorry for I didn't see it until now.
I'm not sure why, but if __name__ == '__main__': freeze_support()
is added according to the error message, and it works. I use Python 3.8.10 && Windows10 && Vscode. I guess may be the reason for using tqdm
.