How to Fix a CUDA Error in PyTorch

When using PyTorch or Python, you may come across a CUDA error. This can be caused by an error in the number of classes or labels in your output layer, or by an incorrect loss function input. To fix this error, use the CUDA_LAUNCH_BLOCKING=1 flag.

When attempting to use your GPU with this error, you should first try to restart the kernel session. In this way, you will be able to use the GPU again in the same kernel session. After restarting your kernel session, you should see a list of kernels. In the list, you will see an option to stop or edit each kernel.

Asim Boss

Muhammad Asim is a Professional Blogger, Writer, SEO Expert. With over 5 years of experience, he handles clients globally & also educates others with different digital marketing tactics.

Asim Boss has 3451 posts and counting. See all posts by Asim Boss