We Are Going To Discuss About RuntimeError: CUDA error: no kernel image is available for execution on the device after model.cuda(). So lets Start this Python Article.
RuntimeError: CUDA error: no kernel image is available for execution on the device after model.cuda()
- How to solve RuntimeError: CUDA error: no kernel image is available for execution on the device after model.cuda()
talonmies comment really helped:
The PyTorch installation you are trying to use doesn't have built-in binary support for the GPU you are trying to use. You will have to find (or make yourself) a build which has built in support. There is no work around here because of the design and packaging of PyTorch
The torch version was not compatible with the cuda version. I could check the issue in details with CUDA_LAUNCH_BLOCKING=1. I uninstalled the previous cuda version and installed the one I actually needed and now it's working - RuntimeError: CUDA error: no kernel image is available for execution on the device after model.cuda()
talonmies comment really helped:
The PyTorch installation you are trying to use doesn't have built-in binary support for the GPU you are trying to use. You will have to find (or make yourself) a build which has built in support. There is no work around here because of the design and packaging of PyTorch
The torch version was not compatible with the cuda version. I could check the issue in details with CUDA_LAUNCH_BLOCKING=1. I uninstalled the previous cuda version and installed the one I actually needed and now it's working
Solution 1
talonmies comment really helped:
The PyTorch installation you are trying to use doesn’t have built-in binary support for the GPU you are trying to use. You will have to find (or make yourself) a build which has built in support. There is no work around here because of the design and packaging of PyTorch
The torch version was not compatible with the cuda version. I could check the issue in details with CUDA_LAUNCH_BLOCKING=1. I uninstalled the previous cuda version and installed the one I actually needed and now it’s working
Original Author edited Dec 21, 2021 at 1:51 Of This Content
Solution 2
I checked the latest torch and torchvision version with cuda from the given link. Stable versions list: https://download.pytorch.org/whl/cu113/torch_stable.html
Below versions solved the error,
pip install torch==1.11.0+cu113 torchvision==0.12.0+cu113 -f https://download.pytorch.org/whl/torch_stable.html
Reference: #49161
Original Author Kevin Patel Of This Content
Conclusion
So This is all About This Tutorial. Hope This Tutorial Helped You. Thank You.
