RuntimeError: CUDA error: no kernel image is available for execution on the device after model.cuda()

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()

  1. 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

  2. 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.

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