About pytorch version.
a18700 opened this issue · comments
Hello,
I got errors below, when to experiment with your codes.
I think this is a pytorch version issue, thereby i want to know the implementation settings.
/workspace/gt_cvpr/gt_codes/NewBaseLine/RandLA-Net-pytorch/RandLANet.py:264: UserWarning: torch.range is deprecated in favor of torch.arange and will be removed in 0.5. Note that arange generates values in [start; end), not [start; end].
reducing_list = torch.range(0, cfg.num_classes).long().cuda()
Traceback (most recent call last):
File "main_SemanticKITTI.py", line 209, in
train(start_epoch)
File "main_SemanticKITTI.py", line 189, in train
train_one_epoch()
File "main_SemanticKITTI.py", line 110, in train_one_epoch
loss.backward()
File "/opt/conda/lib/python3.7/site-packages/torch/tensor.py", line 195, in backward
torch.autograd.backward(self, gradient, retain_graph, create_graph)
File "/opt/conda/lib/python3.7/site-packages/torch/autograd/init.py", line 99, in backward
allow_unreachable=True) # allow_unreachable flag
RuntimeError: cuDNN error: CUDNN_STATUS_NOT_SUPPORTED. This error may appear if you passed in a non-contiguous input.
Hello,
I got errors below, when to experiment with your codes.
I think this is a pytorch version issue, thereby i want to know the implementation settings.
/workspace/gt_cvpr/gt_codes/NewBaseLine/RandLA-Net-pytorch/RandLANet.py:264: UserWarning: torch.range is deprecated in favor of torch.arange and will be removed in 0.5. Note that arange generates values in [start; end), not [start; end].
reducing_list = torch.range(0, cfg.num_classes).long().cuda()
Traceback (most recent call last):
File "main_SemanticKITTI.py", line 209, in
train(start_epoch)
File "main_SemanticKITTI.py", line 189, in train
train_one_epoch()
File "main_SemanticKITTI.py", line 110, in train_one_epoch
loss.backward()
File "/opt/conda/lib/python3.7/site-packages/torch/tensor.py", line 195, in backward
torch.autograd.backward(self, gradient, retain_graph, create_graph)
File "/opt/conda/lib/python3.7/site-packages/torch/autograd/init.py", line 99, in backward
allow_unreachable=True) # allow_unreachable flag
RuntimeError: cuDNN error: CUDNN_STATUS_NOT_SUPPORTED. This error may appear if you passed in a non-contiguous input.
CUDA9.0, Pytorch1.1