Mne cuda pytest

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Dear experts:

I am running purest with cuda and this is the output. Is there any problem?

Sincerely,
Andrade.

andraderenew at andraderenew:/usr/local/lib/python3.7/dist-packages/pytest-5.4.1.dist-info$ sudo pytest /home/andraderenew/.local/lib/python3.7/site-packages/mne/tests/test_filter.py -k cuda
============================================================ test session starts =============================================================
platform linux -- Python 3.7.5, pytest-5.4.1, py-1.8.0, pluggy-0.12.0
rootdir: /home/andraderenew/.local/lib/python3.7/site-packages/mne/tests
collected 55 items / 52 deselected / 3 selected

../../../../../../home/andraderenew/.local/lib/python3.7/site-packages/mne/tests/test_filter.py .s. [100%]

================================================ 2 passed, 1 skipped, 52 deselected in 8.15s =================================================
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Perhaps you missed the `MNE_USE_CUDA` step here?

https://mne.tools/dev/install/advanced.html#using-mne-python-with-cuda-nvidia-gpu-acceleration

Also, if you run with `pytest -ra` it should tell you why there was a
skipped test.

Eric

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Sorry if I misspelled pytest and it made it impossible to understand what I meant. I need to know if this poses any problem regarding execution with cuda. Also I would like to know which features of MNE work with n_jobs that being whether cuda or a number representing multicores.