Make GPU available again after numba.cuda.close()?

So when I run cuda.select_device(0) and then cuda.close(). Pytorch cannot access the GPU again, I know that there is way so that PyTorch can utilize the GPU again without having to restart the kernel. But I forgot how. Does anyone else know?

from numba import cuda 
device = cuda.get_current_device()
device.reset()

And then trying to run cuda-based pytorch code yields:

RuntimeError: CUDA error: invalid argument

from Make GPU available again after numba.cuda.close()?