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bigmb / Unet-Segmentation-Pytorch-Nest-of-Unets

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
MIT License
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BrokenPipeError: [Errno 32] Broken pipe #17

Closed FreakChan closed 4 years ago

FreakChan commented 4 years ago

excellent work！ but i got this error during training. environment: win7 cuda:10.0 pytorch:1.1.0 Traceback (most recent call last): File "", line 1, in Traceback (most recent call last): File "F:/chenzihao/Unet-Segmentation-Pytorch-Nest-of-Unets/pytorch_run.py", line 244, in File "F:\chenzihao\miniconda\lib\multiprocessing\spawn.py", line 105, in spawn_main exitcode = _main(fd) File "F:\chenzihao\miniconda\lib\multiprocessing\spawn.py", line 114, in _main prepare(preparation_data) File "F:\chenzihao\miniconda\lib\multiprocessing\spawn.py", line 225, in prepare _fixup_main_from_path(data['init_main_from_path']) File "F:\chenzihao\miniconda\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path for x, y in train_loader: File "F:\chenzihao\miniconda\lib\site-packages\torch\utils\data\dataloader.py", line 278, in iter run_name="__mp_main__") File "F:\chenzihao\miniconda\lib\runpy.py", line 263, in run_path pkg_name=pkg_name, script_name=fname) File "F:\chenzihao\miniconda\lib\runpy.py", line 96, in _run_module_code mod_name, mod_spec, pkg_name, script_name) File "F:\chenzihao\miniconda\lib\runpy.py", line 85, in _run_code exec(code, run_globals)return _MultiProcessingDataLoaderIter(self) File "F:\chenzihao\Unet-Segmentation-Pytorch-Nest-of-Unets\pytorch_run.py", line 244, in

File "F:\chenzihao\miniconda\lib\site-packages\torch\utils\data\dataloader.py", line 682, in init for x, y in train_loader: File "F:\chenzihao\miniconda\lib\site-packages\torch\utils\data\dataloader.py", line 278, in iter return _MultiProcessingDataLoaderIter(self) File "F:\chenzihao\miniconda\lib\site-packages\torch\utils\data\dataloader.py", line 682, in init w.start() File "F:\chenzihao\miniconda\lib\multiprocessing\process.py", line 112, in start self._popen = self._Popen(self) File "F:\chenzihao\miniconda\lib\multiprocessing\context.py", line 223, in _Popen w.start() File "F:\chenzihao\miniconda\lib\multiprocessing\process.py", line 112, in start return _default_context.get_context().Process._Popen(process_obj) File "F:\chenzihao\miniconda\lib\multiprocessing\context.py", line 322, in _Popen return Popen(process_obj) File "F:\chenzihao\miniconda\lib\multiprocessing\popen_spawn_win32.py", line 46, in init prep_data = spawn.get_preparation_data(process_obj._name) File "F:\chenzihao\miniconda\lib\multiprocessing\spawn.py", line 143, in get_preparation_data self._popen = self._Popen(self) File "F:\chenzihao\miniconda\lib\multiprocessing\context.py", line 223, in _Popen _check_not_importing_main() File "F:\chenzihao\miniconda\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.
return _default_context.get_context().Process._Popen(process_obj)

File "F:\chenzihao\miniconda\lib\multiprocessing\context.py", line 322, in _Popen return Popen(process_obj) File "F:\chenzihao\miniconda\lib\multiprocessing\popen_spawn_win32.py", line 89, in init reduction.dump(process_obj, to_child) File "F:\chenzihao\miniconda\lib\multiprocessing\reduction.py", line 60, in dump ForkingPickler(file, protocol).dump(obj) BrokenPipeError: [Errno 32] Broken pipe

FreakChan commented 4 years ago

when i seted the num_workers=0, it worked. but i dont kown why

bigmb commented 4 years ago

Num_workers basically is for parrelal processing of threads. I think in your case 2 threads are conflicting, so before the first thread is finished, it starts the second one and it gives the error.

But I will still look into it.

FreakChan commented 4 years ago

OK. Thanks fo reply!