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it looks like the workaround doesnt work anymore, but numpy supports blis which is the equivalent library from amd and there is an anaconda package for it. i might suggest to add blis. |
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https://www.pugetsystems.com/labs/hpc/How-To-Use-MKL-with-AMD-Ryzen-and-Threadripper-CPU-s-Effectively-for-Python-Numpy-And-Other-Applications-1637/
https://stackoverflow.com/questions/62783262/why-is-numpy-with-ryzen-threadripper-so-much-slower-than-xeon
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