I have a a loop in which I’m calculating several pseudoinverses of rather large, non-sparse matrices (eg. 20000×800). As my code spends most time on the pinv, I was trying to find a way to speed up the computation. I’m already using multiprocessing (joblib/loky) to run with several processes, but that of course increases also overhead. Using jit did not
Tag: cpu
Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
I have recently installed tensorflow (Windows CPU version) and received the following message: Successfully installed tensorflow-1.4.0 tensorflow-tensorboard-0.4.0rc2 Then when I tried to run (which I found through https://github.com/tensorflow/tensorflow) I received the following message: 2017-11-02 01:56:21.698935: I C:tf_jenkinshomeworkspacerel-winMwindowsPY36tensorflowcoreplatformcpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2 But when I ran it ran as it