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Dear Yew & other friends:
I have run code on (just like in readme):
Python 3.8.8
PyTorch 1.9.1 with torchvision 0.10.1 (Cuda 11.1)
PyTorch3D 0.6.0
MinkowskiEngine 0.5.4
RTX 3090
But I got following error:
recent call last):
File "train.py", line 88, in <module>
main()
File "train.py", line 84, in main
trainer.fit(model, train_loader, val_loader)
File "/home/***/codes/RegTR-main/src/trainer.py", line 119, in fit
losses['total'].backward()
File "/home/***/enter/envs/regtr/lib/python3.8/site-packages/torch/_tensor.py", line 255, in backward
torch.autograd.backward(self, gradient, retain_graph, create_graph, inputs=inputs)
File "/home/***/enter/envs/regtr/lib/python3.8/site-packages/torch/autograd/__init__.py", line 147, in backward
Variable._execution_engine.run_backward(
RuntimeError: merge_sort: failed to synchronize: cudaErrorIllegalAddress: an illegal memory access was encountered
I have already tried to set os.environ['CUDA_LAUNCH_BLOCKING'] = '1', but it did not work.
The text was updated successfully, but these errors were encountered:
This is likely related to the issue with Minkowski engine as noted in the other issues, e.g. #1. I do hope to resolve this by removing the Minkowski engine dependency in the future, but I don't have time/resources to do so at the moment and I apologise for that.
In the short term, you may want change the code to the non-Minkowski CPU versions.
Dear Yew & other friends:
I have run code on (just like in readme):
Python 3.8.8
PyTorch 1.9.1 with torchvision 0.10.1 (Cuda 11.1)
PyTorch3D 0.6.0
MinkowskiEngine 0.5.4
RTX 3090
The text was updated successfully, but these errors were encountered: