Comments (3)
Hi, thanks for reporting this ! The function does not use any library for multithreading or multiprocessing.
This likely comes from underlying libraries such as numpy which have implicit parallelism (see numpy/numpy#11826)
Maybe adding this line at the beginning of the script would fix this ?
import os os.environ['OMP_NUM_THREADS']= "1")
from scikit-dimension.
Hi! The user already has the OMP_NUM_THREADS and MKL_NUM_THREADS to 1. Also, the number of threads created is in the hundreds, which leaves me to believe that is related to the dimensions or the number of timesteps. So there is something underlying this beyond the openblas/mkl threads
from scikit-dimension.
I see, then I am a bit confused what can be causing this and how to fix it. I will try to reproduce this
In the meantime maybe one of the solutions here could be a workaround:
https://stackoverflow.com/questions/30791550/limit-number-of-threads-in-numpy
In particular answers by Josh Broomberg and by Amir
from scikit-dimension.
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from scikit-dimension.