Issue in running PointConv and PPFNet for classification

[narges-tk]

I am getting the following error in running PointConv and PPFNet for classification. Thanks in advance for any suggestions.

**python train_PointConv_Narges.py --nclasses 9
all_data.shape (9840, 2048, 3) <class 'numpy.ndarray'>
all_label.shape (9840, 1) <class 'numpy.ndarray'>
all_data.shape (9840, 2048, 3) <class 'numpy.ndarray'>
all_label.shape (9840, 1) <class 'numpy.ndarray'>
Error raised in pointnet2 module in utils!
Either don't use pointnet2_utils or retry it's setup.
Error in pointnet2_utils! Retry setup for pointnet2_utils.
cp: cannot stat 'main.py': No such file or directory
cp: cannot stat 'model.py': No such file or directory
Namespace(batch_size=32, dataset_path='/media/emre/Data/Downloads/learning3d/../../ModelNet40/ModelNet40', dataset_type='modelnet', device='cuda:0', emb_dims=512, epochs=200, eval=False, exp_name='exp_classifier', nclasses=9, num_points=500, optimizer='Adam', pointnet='tune', pretrained='', resume='', seed=1234, start_epoch=0, symfn='max', workers=4)
(762, 500, 6)
(189, 500, 6)
0%| | 0/23 [00:01<?, ?it/s]
Traceback (most recent call last):
File "train_PointConv_Narges.py", line 253, in
main()
File "train_PointConv_Narges.py", line 250, in main
train(args, model, train_loader, test_loader, boardio, textio, checkpoint)
File "train_PointConv_Narges.py", line 129, in train
train_loss, train_accuracy = train_one_epoch(args.device, model, train_loader, optimizer)
File "train_PointConv_Narges.py", line 93, in train_one_epoch
output = model(points)
File "/home/emre/anaconda3/envs/learning3d3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 532, in call
result = self.forward(*input, **kwargs)
File "/media/emre/Data/Downloads/learning3d/learning3d/models/classifier.py", line 23, in forward
output = self.pooling(self.feature_model(input_data))
File "/home/emre/anaconda3/envs/learning3d3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 532, in call
result = self.forward(*input, **kwargs)
File "/media/emre/Data/Downloads/learning3d/learning3d/models/pooling.py", line 16, in forward
return torch.max(input, 2)[0].contiguous()
IndexError: Dimension out of range (expected to be in range of [-2, 1], but got 2)
(learning3d3) emre@emre:/media/emre/Data/Downloads/learning3d$ python train_PointConv_Narges.py --nclasses 9
all_data.shape (9840, 2048, 3) <class 'numpy.ndarray'>
all_label.shape (9840, 1) <class 'numpy.ndarray'>
all_data.shape (9840, 2048, 3) <class 'numpy.ndarray'>
all_label.shape (9840, 1) <class 'numpy.ndarray'>
Error raised in pointnet2 module in utils!
Either don't use pointnet2_utils or retry it's setup.
Error in pointnet2_utils! Retry setup for pointnet2_utils.
cp: cannot stat 'main.py': No such file or directory
cp: cannot stat 'model.py': No such file or directory
Namespace(batch_size=32, dataset_path='/media/emre/Data/Downloads/learning3d/../../ModelNet40/ModelNet40', dataset_type='modelnet', device='cuda:0', emb_dims=512, epochs=200, eval=False, exp_name='exp_classifier', nclasses=9, num_points=500, optimizer='Adam', pointnet='tune', pretrained='', resume='', seed=1234, start_epoch=0, symfn='max', workers=4)
(762, 500, 6)
(189, 500, 6)
0%| | 0/23 [00:01<?, ?it/s]
Traceback (most recent call last):
File "train_PointConv_Narges.py", line 253, in
main()
File "train_PointConv_Narges.py", line 250, in main
train(args, model, train_loader, test_loader, boardio, textio, checkpoint)
File "train_PointConv_Narges.py", line 129, in train
train_loss, train_accuracy = train_one_epoch(args.device, model, train_loader, optimizer)
File "train_PointConv_Narges.py", line 93, in train_one_epoch
output = model(points)
File "/home/emre/anaconda3/envs/learning3d3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 532, in call
result = self.forward(*input, **kwargs)
File "/media/emre/Data/Downloads/learning3d/learning3d/models/classifier.py", line 23, in forward
output = self.pooling(self.feature_model(input_data))
File "/home/emre/anaconda3/envs/learning3d3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 532, in call
result = self.forward(*input, kwargs)
File "/media/emre/Data/Downloads/learning3d/learning3d/models/pooling.py", line 16, in forward
return torch.max(input, 2)[0].contiguous()
IndexError: Dimension out of range (expected to be in range of [-2, 1], but got 2)