Problems on "multiprocessing"

[Hemistic]

problem when I run the "dcase2022_task4_baseline/train_pretrained.py"
Training: 0it [00:00, ?it/s]CODECARBON : No CPU tracking mode found. Falling back on CPU constant mode.
CODECARBON : Failed to match CPU TDP constant. Falling back on a global constant.
Epoch 0: 0%| | 0/229 [00:00<?, ?it/s] Traceback (most recent call last):
File "E:/DESED_task/recipes/dcase2022_task4_baseline/train_pretrained.py", line 436, in
single_run(
File "E:/DESED_task/recipes/dcase2022_task4_baseline/train_pretrained.py", line 352, in single_run
trainer.fit(desed_training)
File "C:\Users\Payne\anaconda3\envs\dcase2022_re\lib\site-packages\pytorch_lightning\trainer\trainer.py", line 735, in fit
self._call_and_handle_interrupt(
File "C:\Users\Payne\anaconda3\envs\dcase2022_re\lib\site-packages\pytorch_lightning\trainer\trainer.py", line 682, in _call_and_handle_interrupt
return trainer_fn(*args, **kwargs)
File "C:\Users\Payne\anaconda3\envs\dcase2022_re\lib\site-packages\pytorch_lightning\trainer\trainer.py", line 770, in _fit_impl
self._run(model, ckpt_path=ckpt_path)
File "C:\Users\Payne\anaconda3\envs\dcase2022_re\lib\site-packages\pytorch_lightning\trainer\trainer.py", line 1193, in _run
self._dispatch()
File "C:\Users\Payne\anaconda3\envs\dcase2022_re\lib\site-packages\pytorch_lightning\trainer\trainer.py", line 1272, in _dispatch
self.training_type_plugin.start_training(self)
File "C:\Users\Payne\anaconda3\envs\dcase2022_re\lib\site-packages\pytorch_lightning\plugins\training_type\training_type_plugin.py", line 202, in start_training
self._results = trainer.run_stage()
File "C:\Users\Payne\anaconda3\envs\dcase2022_re\lib\site-packages\pytorch_lightning\trainer\trainer.py", line 1282, in run_stage
return self._run_train()
File "C:\Users\Payne\anaconda3\envs\dcase2022_re\lib\site-packages\pytorch_lightning\trainer\trainer.py", line 1312, in _run_train
self.fit_loop.run()
File "C:\Users\Payne\anaconda3\envs\dcase2022_re\lib\site-packages\pytorch_lightning\loops\base.py", line 145, in run
self.advance(*args, **kwargs)
File "C:\Users\Payne\anaconda3\envs\dcase2022_re\lib\site-packages\pytorch_lightning\loops\fit_loop.py", line 234, in advance
self.epoch_loop.run(data_fetcher)
File "C:\Users\Payne\anaconda3\envs\dcase2022_re\lib\site-packages\pytorch_lightning\loops\base.py", line 140, in run
self.on_run_start(*args, **kwargs)
File "C:\Users\Payne\anaconda3\envs\dcase2022_re\lib\site-packages\pytorch_lightning\loops\epoch\training_epoch_loop.py", line 141, in on_run_start
self._dataloader_iter = _update_dataloader_iter(data_fetcher, self.batch_idx + 1)
File "C:\Users\Payne\anaconda3\envs\dcase2022_re\lib\site-packages\pytorch_lightning\loops\utilities.py", line 121, in _update_dataloader_iter
dataloader_iter = enumerate(data_fetcher, batch_idx)
File "C:\Users\Payne\anaconda3\envs\dcase2022_re\lib\site-packages\pytorch_lightning\utilities\fetching.py", line 198, in iter
self._apply_patch()
File "C:\Users\Payne\anaconda3\envs\dcase2022_re\lib\site-packages\pytorch_lightning\utilities\fetching.py", line 133, in _apply_patch
apply_to_collections(self.loaders, self.loader_iters, (Iterator, DataLoader), _apply_patch_fn)
File "C:\Users\Payne\anaconda3\envs\dcase2022_re\lib\site-packages\pytorch_lightning\utilities\fetching.py", line 181, in loader_iters
loader_iters = self.dataloader_iter.loader_iters
File "C:\Users\Payne\anaconda3\envs\dcase2022_re\lib\site-packages\pytorch_lightning\trainer\supporters.py", line 523, in loader_iters
self._loader_iters = self.create_loader_iters(self.loaders)
File "C:\Users\Payne\anaconda3\envs\dcase2022_re\lib\site-packages\pytorch_lightning\trainer\supporters.py", line 563, in create_loader_iters
return apply_to_collection(loaders, Iterable, iter, wrong_dtype=(Sequence, Mapping))
File "C:\Users\Payne\anaconda3\envs\dcase2022_re\lib\site-packages\pytorch_lightning\utilities\apply_func.py", line 92, in apply_to_collection
return function(data, *args, **kwargs)
File "C:\Users\Payne\anaconda3\envs\dcase2022_re\lib\site-packages\torch\utils\data\dataloader.py", line 367, in iter
return self._get_iterator()
File "C:\Users\Payne\anaconda3\envs\dcase2022_re\lib\site-packages\torch\utils\data\dataloader.py", line 313, in _get_iterator
return _MultiProcessingDataLoaderIter(self)
File "C:\Users\Payne\anaconda3\envs\dcase2022_re\lib\site-packages\torch\utils\data\dataloader.py", line 926, in init
w.start()
File "C:\Users\Payne\anaconda3\envs\dcase2022_re\lib\multiprocessing\process.py", line 121, in start
self._popen = self._Popen(self)
File "C:\Users\Payne\anaconda3\envs\dcase2022_re\lib\multiprocessing\context.py", line 224, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\Payne\anaconda3\envs\dcase2022_re\lib\multiprocessing\context.py", line 327, in _Popen
return Popen(process_obj)
File "C:\Users\Payne\anaconda3\envs\dcase2022_re\lib\multiprocessing\popen_spawn_win32.py", line 93, in init
reduction.dump(process_obj, to_child)
File "C:\Users\Payne\anaconda3\envs\dcase2022_re\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
AttributeError: Can't pickle local object 'single_run..ASTFeatsExtraction'

[popcornell]

Did you download the embeddings and set the paths accordingly ?
Can you try if the Dataset objects runs correctly without any DataLoader ?

[popcornell]

Any news on this issue ?

[Hemistic]

Sorry, I still haven't solved this problem. I guess it may be caused by inconsistent versions of the operating system or packages. I was originally using win11, it didn't work, and when I used Ubuntu 20, another problem arose. So I gave up and I tried to transfer model in my way. I suggest, if possible, you can write README.md more perfect and add some comments appropriately, thank you.