[GitHub] uniquezhengjie edited a comment on issue #12105: Floating point exception (core dumped)
uniquezhengjie edited a comment on issue #12105: Floating point exception (core dumped) URL: https://github.com/apache/incubator-mxnet/issues/12105#issuecomment-412003697 @pengzhao-intel is different, in fact i test 4 kind cpus machine1(Intel(R) Xeon(R) CPU E5-2680 v4 @ 2.40GHz) machine2 Intel(R) Core(TM) i5-7400 CPU @ 3.00GHz machine3 Intel(R) Xeon(R) CPU E5-26xx v4 machine4 Intel(R) Xeon(R) CPU E5-26xx v3 machine1 and machine2 is normally ,machine3 and machine4 get error . i also test run docker image on machine3 and machine4, if run mxnet/python:1.2.1_cpu_mkl get err but run mxnet/python:1.2.1_cpu is OK. i build from source code with option USE_BLAS=openblas docker image , also run normaly in machine3 . i don't know how build with option MKL, coz i set USE_BLAS=MKL build error This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[GitHub] uniquezhengjie edited a comment on issue #12105: Floating point exception (core dumped)
uniquezhengjie edited a comment on issue #12105: Floating point exception (core dumped) URL: https://github.com/apache/incubator-mxnet/issues/12105#issuecomment-412003697 @pengzhao-intel is different, in fact i test 4 kind cpu machine1(Intel(R) Xeon(R) CPU E5-2680 v4 @ 2.40GHz) machine2 Intel(R) Core(TM) i5-7400 CPU @ 3.00GHz machine3 Intel(R) Xeon(R) CPU E5-26xx v4 machine4 Intel(R) Xeon(R) CPU E5-26xx v3 machine1 and machine2 is normally ,machine3 and machine4 get error . i also test run docker image on machine3 and machine4, if run mxnet/python:1.2.1_cpu_mkl get err but run mxnet/python:1.2.1_cpu is OK. i build from source code with option USE_BLAS=openblas docker image , also run normaly in machine3 . i don't know how build with option MKL, coz i set USE_BLAS=MKL build error This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[GitHub] uniquezhengjie edited a comment on issue #12105: Floating point exception (core dumped)
uniquezhengjie edited a comment on issue #12105: Floating point exception (core dumped) URL: https://github.com/apache/incubator-mxnet/issues/12105#issuecomment-411947874 @lanking520 this is my system info, i test Python 3.6.4 and Python 2.7.12 on ubuntu 16.04 and 14.04. root@5360f6cad7ec:/# cat /proc/cpuinfo | grep name | cut -f2 -d: | uniq -c 8 Intel(R) Xeon(R) CPU E5-26xx v4 root@5360f6cad7ec:/# getconf LONG_BIT 64 root@5360f6cad7ec:/# uname -a Linux 5360f6cad7ec 4.4.0-91-generic #114-Ubuntu SMP Tue Aug 8 11:56:56 UTC 2017 x86_64 x86_64 x86_64 GNU/Linux i found that when i run pip install mxnet (not mxnet-mkl)or build form source(https://mxnet.incubator.apache.org/install/index.html?platform=Linux=Python=CPU) i can import mxnet normally ,but when i inference my model ,it cost mort time(almost 4~ 5 times than mkl in my normal computers(which can use mxnet-mkl)). my cpu(Intel(R) Xeon(R) CPU E5-26xx v4) can't support mkl? This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
