# Mne cuda pytest

**URL:** <https://mne.discourse.group/t/mne-cuda-pytest/2125>\
**Category:** Mailing List Archive (read-only)\
**Tags:** list-archive\
**Created:** [March 28, 2020, 9:39am UTC](https://mne.discourse.group/t/mne-cuda-pytest/2125 "2020-03-28T09:39:40Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![system](https://global.discourse-cdn.com/free1/uploads/mne/original/1X/85cc6bd2b69cb698a166dc6d880fb550510d0144.jpeg) [@system](https://mne.discourse.group/u/system)\
**Post date:** [March 28, 2020, 9:39am UTC](https://mne.discourse.group/t/mne-cuda-pytest/2125/1 "2020-03-28T09:39:40Z")

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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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**Author:** ![system](https://global.discourse-cdn.com/free1/uploads/mne/original/1X/85cc6bd2b69cb698a166dc6d880fb550510d0144.jpeg) [@system](https://mne.discourse.group/u/system)\
**Post date:** [March 30, 2020, 8:00pm UTC](https://mne.discourse.group/t/mne-cuda-pytest/2125/2 "2020-03-30T20:00:34Z")

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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](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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**Author:** ![system](https://global.discourse-cdn.com/free1/uploads/mne/original/1X/85cc6bd2b69cb698a166dc6d880fb550510d0144.jpeg) [@system](https://mne.discourse.group/u/system)\
**Post date:** [March 31, 2020, 11:06am UTC](https://mne.discourse.group/t/mne-cuda-pytest/2125/3 "2020-03-31T11:06:52Z")

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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.