ForkingPickler(file, protocol).dump(obj) AttributeError: Can't pickle local object 'main.<locals>.<lambda>'

[QuincyQAQ]

Why do I get the following error when I set numworkers to 10 (by default):

Traceback (most recent call last): File "D:\Pointnet_Pointnet2_pytorch-master\Pointnet_Pointnet2_pytorch-master\train_semseg.py", line 294, in main(args) File "D:\Pointnet_Pointnet2_pytorch-master\Pointnet_Pointnet2_pytorch-master\train_semseg.py", line 180, in main for i, (points, target) in tqdm(enumerate(trainDataLoader), total=len(trainDataLoader), smoothing=0.9): File "D:\Anaconda\envs\y8\lib\site-packages\torch\utils\data\dataloader.py", line 438, in iter return self._get_iterator() File "D:\Anaconda\envs\y8\lib\site-packages\torch\utils\data\dataloader.py", line 386, in _get_iterator return _MultiProcessingDataLoaderIter(self) File "D:\Anaconda\envs\y8\lib\site-packages\torch\utils\data\dataloader.py", line 1039, in init w.start() File "D:\Anaconda\envs\y8\lib\multiprocessing\process.py", line 121, in start self._popen = self._Popen(self) File "D:\Anaconda\envs\y8\lib\multiprocessing\context.py", line 224, in _Popen return _default_context.get_context().Process._Popen(process_obj) File "D:\Anaconda\envs\y8\lib\multiprocessing\context.py", line 327, in _Popen return Popen(process_obj) File "D:\Anaconda\envs\y8\lib\multiprocessing\popen_spawn_win32.py", line 93, in init reduction.dump(process_obj, to_child) File "D:\Anaconda\envs\y8\lib\multiprocessing\reduction.py", line 60, in dump ForkingPickler(file, protocol).dump(obj) AttributeError: Can't pickle local object 'main..'

And when I set numworkers to 0, an error will be reported:

D:\Anaconda\envs\y8\python.exe D:\Pointnet_Pointnet2_pytorch-master\Pointnet_Pointnet2_pytorch-master\train_semseg.py PARAMETER ... Namespace(batch_size=16, decay_rate=0.0001, epoch=32, gpu='0', learning_rate=0.001, log_dir=None, lr_decay=0.7, model='pointnet_sem_seg', npoint=4096, optimizer='Adam', step_size=10, test_area=5) start loading training data ... [nan nan nan nan nan nan nan nan nan nan nan nan nan] Totally 0 samples in train set. start loading test data ... [nan nan nan nan nan nan nan nan nan nan nan nan nan] Totally 0 samples in test set. 0it [00:00, ?it/s] D:\Pointnet_Pointnet2_pytorch-master\Pointnet_Pointnet2_pytorch-master\data_utils\S3DISDataLoader.py:37: RuntimeWarning: invalid value encountered in divide labelweights = labelweights / np.sum(labelweights) 0it [00:00, ?it/s] The number of training data is: 0 The number of test data is: 0 No existing model, starting training from scratch... **** Epoch 1 (1/32) **** Learning rate:0.001000 BN momentum updated to: 0.100000 0it [00:00, ?it/s] Traceback (most recent call last): File "D:\Pointnet_Pointnet2_pytorch-master\Pointnet_Pointnet2_pytorch-master\train_semseg.py", line 295, in main(args) File "D:\Pointnet_Pointnet2_pytorch-master\Pointnet_Pointnet2_pytorch-master\train_semseg.py", line 204, in main log_string('Training mean loss: %f' % (loss_sum / num_batches)) ZeroDivisionError: division by zero