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This was discussed a bit more in #3722 : computing PCA metrics on analyzers with a lot of units and a lof of channels, using a high n_jobs can sometime pre-allocate a very large array that does not fit in memory.
The current job_kwargs that apply to memory limitation are, as far as I understand, only relevant when dealing with recordings.
The current fix in #3721 is to automatically throttle n_jobs to stay within memory constraints. Something else that was mentionned would be to allocate a single array to be used by multiple workers, but I believe there were concerns about concurrent access.
The text was updated successfully, but these errors were encountered:
Yeah there have been discussions to more fully incorporate job_kwargs into PCA as well, but I don't think anyone has had the time to do that. I don't typically work that low level in SI, so I wouldn't be able to provide pointers on this. I have noticed with our current setup for my own experiments (our group uses Windows machines) that setting n_jobs to 1 for PCA actually provides a boost. So I think we would need a deeper discussion about this overall! Just still have a lot of projects being worked on across the group.
As request, moving this over from discussions.
This was discussed a bit more in #3722 : computing PCA metrics on analyzers with a lot of units and a lof of channels, using a high
n_jobs
can sometime pre-allocate a very large array that does not fit in memory.The current
job_kwargs
that apply to memory limitation are, as far as I understand, only relevant when dealing with recordings.The current fix in #3721 is to automatically throttle
n_jobs
to stay within memory constraints. Something else that was mentionned would be to allocate a single array to be used by multiple workers, but I believe there were concerns about concurrent access.The text was updated successfully, but these errors were encountered: