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Situation: Dataset learning example 13 works as expected on Mac and Windows, but under Linux the loop doing the massive parallelization of MelBand analysis does not finish. I am not even certain it starts at all since the synth count stays low.
How to reproduce: run example 13 one item at a time. Everything is fine until the MelBands analysis batch processing. Observer the Console: it starts but never ends.
The text was updated successfully, but these errors were encountered:
tremblap
changed the title
UNIX: dataset example 13 (massive parallelisation batch process) does not work at all
UNIX: massive parallelisation for batch processing does not work at all
Apr 30, 2021
tremblap
changed the title
UNIX: massive parallelisation for batch processing does not work at all
UNIX: massive parallelization for batch processing does not work at all
Apr 30, 2021
tremblap
changed the title
UNIX: massive parallelization for batch processing does not work at all
Linux: massive parallelization for batch processing does not work at all
Apr 30, 2021
Situation: Dataset learning example 13 works as expected on Mac and Windows, but under Linux the loop doing the massive parallelization of MelBand analysis does not finish. I am not even certain it starts at all since the synth count stays low.
How to reproduce: run example 13 one item at a time. Everything is fine until the MelBands analysis batch processing. Observer the Console: it starts but never ends.
The text was updated successfully, but these errors were encountered: