i cant run the process

[nianchu1]

Dear authors,

when i run python main.py --ni --simplified --config celeba_hq.yml --path_y celeba_hq --eta 0.85 --deg "sr_averagepooling" --deg_scale 4.0 --sigma_y 0 -i demo it stacks! er message : File "X:\game\DDNM-main\main.py", line 166, in main runner.sample(args.simplified) File "X:\game\DDNM-main\guided_diffusion\diffusion.py", line 200, in sample self.simplified_ddnm_plus(model, cls_fn) File "X:\game\DDNM-main\guided_diffusion\diffusion.py", line 302, in simplified_ddnm_plus for x_orig, classes in pbar: File "X:\python\Anaconda\envs\game\lib\site-packages\tqdm\std.py", line 1195, in iter for obj in iterable: File "X:\python\Anaconda\envs\game\lib\site-packages\torch\utils\data\dataloader.py", line 435, in iter return self._get_iterator() File "X:\python\Anaconda\envs\game\lib\site-packages\torch\utils\data\dataloader.py", line 381, in _get_iterator return _MultiProcessingDataLoaderIter(self) File "X:\python\Anaconda\envs\game\lib\site-packages\torch\utils\data\dataloader.py", line 1034, in init w.start() File "X:\python\Anaconda\envs\game\lib\multiprocessing\process.py", line 121, in start self._popen = self._Popen(self) File "X:\python\Anaconda\envs\game\lib\multiprocessing\context.py", line 224, in _Popen return _default_context.get_context().Process._Popen(process_obj) File "X:\python\Anaconda\envs\game\lib\multiprocessing\context.py", line 336, in _Popen return Popen(process_obj) File "X:\python\Anaconda\envs\game\lib\multiprocessing\popen_spawn_win32.py", line 93, in init reduction.dump(process_obj, to_child) File "X:\python\Anaconda\envs\game\lib\multiprocessing\reduction.py", line 61, in dump pickle.dump(obj, file, protocol) AttributeError: Can't pickle local object 'Diffusion.simplified_ddnm_plus..seed_worker'

Traceback (most recent call last): File "", line 1, in File "X:\python\Anaconda\envs\game\lib\multiprocessing\spawn.py", line 107, in spawn_main new_handle = reduction.duplicate(pipe_handle, File "X:\python\Anaconda\envs\game\lib\multiprocessing\reduction.py", line 79, in duplicate return _winapi.DuplicateHandle( OSError: [WinError 6] 句柄无效。

(game) X:\game\DDNM-main> (game) X:\game\DDNM-main> (game) X:\game\DDNM-main>python main.py --ni --config celeba_hq.yml --path_y celeba_hq --eta 0.85 --deg "sr_averagepooling" --deg_scale 4.0 --sigma_y 0 -i demo INFO - main.py - 2022-12-06 12:28:28,418 - Using device: cuda Run SVD-based DDNM. 100 sampling steps. travel_length = 1, travel_repeat = 1. Task: sr_averagepooling. Dataset has size 8 X:\python\Anaconda\envs\game\lib\site-packages\torch\utils\data\dataloader.py:554: UserWarning: This DataLoader will create 32 worker processes in total. Our suggested max number of worker in current system is 12 (cpuset is not taken into account), which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary. warnings.warn(_create_warning_msg( Start from 0 0%| | 0/8 [00:00<?, ?it/s] ERROR - main.py - 2022-12-06 12:28:36,459 - Traceback (most recent call last): File "X:\game\DDNM-main\main.py", line 166, in main runner.sample(args.simplified) File "X:\game\DDNM-main\guided_diffusion\diffusion.py", line 208, in sample self.svd_based_ddnm_plus(model, cls_fn) File "X:\game\DDNM-main\guided_diffusion\diffusion.py", line 537, in svd_based_ddnm_plus for x_orig, classes in pbar: File "X:\python\Anaconda\envs\game\lib\site-packages\tqdm\std.py", line 1195, in iter for obj in iterable: File "X:\python\Anaconda\envs\game\lib\site-packages\torch\utils\data\dataloader.py", line 435, in iter return self._get_iterator() File "X:\python\Anaconda\envs\game\lib\site-packages\torch\utils\data\dataloader.py", line 381, in _get_iterator return _MultiProcessingDataLoaderIter(self) File "X:\python\Anaconda\envs\game\lib\site-packages\torch\utils\data\dataloader.py", line 1034, in init w.start() File "X:\python\Anaconda\envs\game\lib\multiprocessing\process.py", line 121, in start self._popen = self._Popen(self) File "X:\python\Anaconda\envs\game\lib\multiprocessing\context.py", line 224, in _Popen return _default_context.get_context().Process._Popen(process_obj) File "X:\python\Anaconda\envs\game\lib\multiprocessing\context.py", line 336, in _Popen return Popen(process_obj) File "X:\python\Anaconda\envs\game\lib\multiprocessing\popen_spawn_win32.py", line 93, in init reduction.dump(process_obj, to_child) File "X:\python\Anaconda\envs\game\lib\multiprocessing\reduction.py", line 60, in dump ForkingPickler(file, protocol).dump(obj) AttributeError: Can't pickle local object 'Diffusion.svd_based_ddnm_plus..seed_worker'

Traceback (most recent call last): File "", line 1, in File "X:\python\Anaconda\envs\game\lib\multiprocessing\spawn.py", line 107, in spawn_main new_handle = reduction.duplicate(pipe_handle, File "X:\python\Anaconda\envs\game\lib\multiprocessing\reduction.py", line 79, in duplicate return _winapi.DuplicateHandle( OSError: [WinError 6] 句柄无效。

i used the wrong python version???i have installed the required environment

[wyhuai]

It seems you are running on a Windows environment. What about set "num_workers: 32" in celeba_hq.yml as "num_workers: 1"? Anyway, if your environment can run guided-diffusion (https://github.com/openai/guided-diffusion), then our DDNM should be ok.

[nianchu1]

Thx.I'v set num_workers 32 to 0.it works well !