Any method to limit the CPU usage of pycaffe compiled with openblas?












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The pycaffe is compiled with openblas.



My pycaffe model occupies more than 20 CPU cores while training, any method to limit that?










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    The pycaffe is compiled with openblas.



    My pycaffe model occupies more than 20 CPU cores while training, any method to limit that?










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      The pycaffe is compiled with openblas.



      My pycaffe model occupies more than 20 CPU cores while training, any method to limit that?










      share|improve this question
















      The pycaffe is compiled with openblas.



      My pycaffe model occupies more than 20 CPU cores while training, any method to limit that?







      machine-learning caffe pycaffe






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      edited Nov 15 '18 at 6:33









      Shai

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      69.6k22136243










      asked Nov 14 '18 at 11:23









      inkzkinkzk

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          Try setting environment variable



          OPENBLAS_NUM_THREADS=10


          before running pycaffe to restrict openblas to only 10 threads.






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            1 Answer
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            Try setting environment variable



            OPENBLAS_NUM_THREADS=10


            before running pycaffe to restrict openblas to only 10 threads.






            share|improve this answer




























              0














              Try setting environment variable



              OPENBLAS_NUM_THREADS=10


              before running pycaffe to restrict openblas to only 10 threads.






              share|improve this answer


























                0












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                0







                Try setting environment variable



                OPENBLAS_NUM_THREADS=10


                before running pycaffe to restrict openblas to only 10 threads.






                share|improve this answer













                Try setting environment variable



                OPENBLAS_NUM_THREADS=10


                before running pycaffe to restrict openblas to only 10 threads.







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 15 '18 at 6:33









                ShaiShai

                69.6k22136243




                69.6k22136243






























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