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0%| | 0/5230 [00:00<?, ?it/s]
Traceback (most recent call last):
File "train_sem_seg.py", line 152, in
best_loss=best_loss
File "/home/rewreu/notebook/Zhe/pyTorch/PointNet/Pointnet2_PyTorch/utils/pytorch_utils/pytorch_utils.py", line 842, in train
self._train_epoch(epoch, train_loader, self.eval_frequency)
File "/home/rewreu/notebook/Zhe/pyTorch/PointNet/Pointnet2_PyTorch/utils/pytorch_utils/pytorch_utils.py", line 713, in _train_epoch
self.model, data, epoch=epoch
File "/home/rewreu/notebook/Zhe/pyTorch/PointNet/Pointnet2_PyTorch/models/pointnet2_msg_sem.py", line 29, in model_fn
preds = model(xyz, points)
File "/usr/local/lib/python3.5/dist-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, **kwargs)
File "/home/rewreu/notebook/Zhe/pyTorch/PointNet/Pointnet2_PyTorch/models/pointnet2_msg_sem.py", line 114, in forward
li_xyz, li_points = self.SA_modules[i](l_xyz[i], l_points[i])
File "/usr/local/lib/python3.5/dist-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, **kwargs)
File "/home/rewreu/notebook/Zhe/pyTorch/PointNet/Pointnet2_PyTorch/models/../utils/pointnet2_modules.py", line 50, in forward
new_points
File "/usr/local/lib/python3.5/dist-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, **kwargs)
File "/usr/local/lib/python3.5/dist-packages/torch/nn/modules/container.py", line 91, in forward
input = module(input)
File "/usr/local/lib/python3.5/dist-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, **kwargs)
File "/usr/local/lib/python3.5/dist-packages/torch/nn/modules/container.py", line 91, in forward
input = module(input)
File "/usr/local/lib/python3.5/dist-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, **kwargs)
File "/usr/local/lib/python3.5/dist-packages/torch/nn/modules/conv.py", line 176, in forward
self.padding, self.dilation, self.groups)
TypeError: conv1d(): argument 'input' (position 1) must be Tensor, not builtin_function_or_method`
Any idea where the issue might come from?
The text was updated successfully, but these errors were encountered:
`----- Train Epoch 001 -----
0%| | 0/5230 [00:00<?, ?it/s]
Traceback (most recent call last):
File "train_sem_seg.py", line 152, in
best_loss=best_loss
File "/home/rewreu/notebook/Zhe/pyTorch/PointNet/Pointnet2_PyTorch/utils/pytorch_utils/pytorch_utils.py", line 842, in train
self._train_epoch(epoch, train_loader, self.eval_frequency)
File "/home/rewreu/notebook/Zhe/pyTorch/PointNet/Pointnet2_PyTorch/utils/pytorch_utils/pytorch_utils.py", line 713, in _train_epoch
self.model, data, epoch=epoch
File "/home/rewreu/notebook/Zhe/pyTorch/PointNet/Pointnet2_PyTorch/models/pointnet2_msg_sem.py", line 29, in model_fn
preds = model(xyz, points)
File "/usr/local/lib/python3.5/dist-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, **kwargs)
File "/home/rewreu/notebook/Zhe/pyTorch/PointNet/Pointnet2_PyTorch/models/pointnet2_msg_sem.py", line 114, in forward
li_xyz, li_points = self.SA_modules[i](l_xyz[i], l_points[i])
File "/usr/local/lib/python3.5/dist-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, **kwargs)
File "/home/rewreu/notebook/Zhe/pyTorch/PointNet/Pointnet2_PyTorch/models/../utils/pointnet2_modules.py", line 50, in forward
new_points
File "/usr/local/lib/python3.5/dist-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, **kwargs)
File "/usr/local/lib/python3.5/dist-packages/torch/nn/modules/container.py", line 91, in forward
input = module(input)
File "/usr/local/lib/python3.5/dist-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, **kwargs)
File "/usr/local/lib/python3.5/dist-packages/torch/nn/modules/container.py", line 91, in forward
input = module(input)
File "/usr/local/lib/python3.5/dist-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, **kwargs)
File "/usr/local/lib/python3.5/dist-packages/torch/nn/modules/conv.py", line 176, in forward
self.padding, self.dilation, self.groups)
TypeError: conv1d(): argument 'input' (position 1) must be Tensor, not builtin_function_or_method`
Any idea where the issue might come from?
The text was updated successfully, but these errors were encountered: