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Right now we have no direct way to setup the number of threads used by numpy or torch, as such there are cases of heavy cpu usage for certain operations causing issues to multple users environments.
It would be nice to have a way to set the standard multithreading environment variables
OMP_NUM_THREADS
OPENBLAS_NUM_THREADS
MKL_NUM_THREADS
VECLIB_MAXIMUM_THREADS
NUMEXPR_NUM_THREADS
And torch num threads
The text was updated successfully, but these errors were encountered:
Description & Motivation
Right now we have no direct way to setup the number of threads used by numpy or torch, as such there are cases of heavy cpu usage for certain operations causing issues to multple users environments.
It would be nice to have a way to set the standard multithreading environment variables
OMP_NUM_THREADS
OPENBLAS_NUM_THREADS
MKL_NUM_THREADS
VECLIB_MAXIMUM_THREADS
NUMEXPR_NUM_THREADS
And torch num threads
The text was updated successfully, but these errors were encountered: