search

aamir-mustafa / super-resolution-adversarial-defense

Image Super-Resolution as a Defense Against Adversarial Attacks
87 stars 16 forks source link

RuntimeError: An attempt has been made to start a new process before the current process has finished its bootstrapping phase. #4

Closed zhjikoshlizhzc closed 4 years ago

zhjikoshlizhzc commented 5 years ago

Hello! When I try to run sh super_resolution.sh,there is an error occured.

(pytorch) D:\Graduate\super-resolution-adversarial-defense-master\src>sh super_resolution.sh Making model... Download the model

Evaluation: Traceback (most recent call last): File "main.py", line 26, in while not t.terminate(): File "D:\Graduate\super-resolution-adversarial-defense-master\src\trainer.py", line 139, in terminate self.test() File "D:\Graduate\super-resolution-adversarial-defense-master\src\trainer.py", line 83, in test if self.args.save_results: self.ckp.begin_background() File "D:\Graduate\super-resolution-adversarial-defense-master\src\utility.py", line 141, in begin_background for p in self.process: p.start() File "C:\Users\acer\Anaconda3\envs\pytorch\lib\multiprocessing\process.py", line 105, in start self._popen = self._Popen(self) File "C:\Users\acer\Anaconda3\envs\pytorch\lib\multiprocessing\context.py", line 223, in _Popen return _default_context.get_context().Process._Popen(process_obj) File "C:\Users\acer\Anaconda3\envs\pytorch\lib\multiprocessing\context.py", line 322, in _Popen return Popen(process_obj) File "C:\Users\acer\Anaconda3\envs\pytorch\lib\multiprocessing\popen_spawn_win32.py", line 65, in init reduction.dump(process_obj, to_child) File "C:\Users\acer\Anaconda3\envs\pytorch\lib\multiprocessing\reduction.py", line 60, in dump ForkingPickler(file, protocol).dump(obj) AttributeError: Can't pickle local object 'checkpoint.begin_background..bg_target'

(pytorch) D:\Graduate\super-resolution-adversarial-defense-master\src>Making model... Download the model

Evaluation: Traceback (most recent call last): File "", line 1, in File "C:\Users\acer\Anaconda3\envs\pytorch\lib\multiprocessing\spawn.py", line 105, in spawn_main exitcode = _main(fd) File "C:\Users\acer\Anaconda3\envs\pytorch\lib\multiprocessing\spawn.py", line 114, in _main prepare(preparation_data) File "C:\Users\acer\Anaconda3\envs\pytorch\lib\multiprocessing\spawn.py", line 225, in prepare _fixup_main_from_path(data['init_main_from_path']) File "C:\Users\acer\Anaconda3\envs\pytorch\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path run_name="mp_main") File "C:\Users\acer\Anaconda3\envs\pytorch\lib\runpy.py", line 263, in run_path pkg_name=pkg_name, script_name=fname) File "C:\Users\acer\Anaconda3\envs\pytorch\lib\runpy.py", line 96, in _run_module_code mod_name, mod_spec, pkg_name, script_name) File "C:\Users\acer\Anaconda3\envs\pytorch\lib\runpy.py", line 85, in _run_code exec(code, run_globals) File "D:\Graduate\super-resolution-adversarial-defense-master\src\main.py", line 26, in while not t.terminate(): File "D:\Graduate\super-resolution-adversarial-defense-master\src\trainer.py", line 139, in terminate self.test() File "D:\Graduate\super-resolution-adversarial-defense-master\src\trainer.py", line 83, in test if self.args.save_results: self.ckp.begin_background() File "D:\Graduate\super-resolution-adversarial-defense-master\src\utility.py", line 141, in begin_background for p in self.process: p.start() File "C:\Users\acer\Anaconda3\envs\pytorch\lib\multiprocessing\process.py", line 105, in start self._popen = self._Popen(self) File "C:\Users\acer\Anaconda3\envs\pytorch\lib\multiprocessing\context.py", line 223, in _Popen return _default_context.get_context().Process._Popen(process_obj) File "C:\Users\acer\Anaconda3\envs\pytorch\lib\multiprocessing\context.py", line 322, in _Popen return Popen(process_obj) File "C:\Users\acer\Anaconda3\envs\pytorch\lib\multiprocessing\popen_spawn_win32.py", line 33, in init prep_data = spawn.get_preparation_data(process_obj._name) File "C:\Users\acer\Anaconda3\envs\pytorch\lib\multiprocessing\spawn.py", line 143, in get_preparation_data _check_not_importing_main() File "C:\Users\acer\Anaconda3\envs\pytorch\lib\multiprocessing\spawn.py", line 136, in _check_not_importing_main is not going to be frozen to produce an executable.''') 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.
aamir-mustafa commented 4 years ago

The implementation is for PyTorch version 0.4.1.

Kindly check the version of PyTorch you are using.

Thanks