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I am getting desperate with Chainer because I'm not able to use it with GPU for about a week now. The error I am getting: RuntimeError: CUDA environment is not correctly set up (see https://github.com/chainer/chainer#installation).No module named 'cupy.util'

Code to reproduce:

import chainer
chainer.cuda.to_gpu([0, 0])
Output of chainer.backends.cuda.available is False.
Working on Ubuntu 20.04 (I know, it is not the one from the recommended on Chainer's docs) inside WSL2. CUDA drivers 11.0. Output of nvcc -V:
nvcc: NVIDIA (R) Cuda compiler driver
Built on Wed_Jul_22_19:09:09_PDT_2020
Cuda compilation tools, release 11.0, V11.0.221
Build cuda_11.0_bu.TC445_37.28845127_0
CUDA samples compile and work properly inside WSL2.
According to pip freeze, cupy-cuda110 is installed within an (activated) virtual environment (but not detected, it seems). Chainer version 7.7.0 is installed.
Any ideas how to fix it?
Solution from https://github.com/chainer/chainer/issues/8582 did not seem to do the trick for me.
The error message is very clear. Just change L69 of backends/cuda.py:
from cupy.util import PerformanceWarning as _PerformanceWarning
from cupy._util import PerformanceWarning as _PerformanceWarning
along with the solution from #8582, everything will work just fine.
                How is this clear from the error message? I'm genuinely curious, cause this solution (changing cupy.util to cupy._utils) also solved a similar issue I had, but my error message just said No module named 'cupy.util'.
– roygbiv
                Feb 21 at 15:18
                @roygbiv since it used to work before, something must have changed in cupy v8. A simple search in GitHub leads me to this commit, and everything is now perfectly clear.
– H3NT41
                Mar 15 at 12:35
        
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