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)