intel-mkl

numpy OpenBLAS set maximum number of threads

由 冷暖自知 提交于 2019-12-08 16:05:14
问题 I am using numpy and my model involves intensive matrix-matrix multiplication. To speed up, I use OpenBLAS multi-threaded library to parallelize the numpy.dot function. My setting is as follows, OS : CentOS 6.2 server #CPUs = 12, #MEM = 96GB python version: Python2.7.6 numpy : numpy 1.8.0 OpenBLAS + IntelMKL $ OMP_NUM_THREADS=8 python test_mul.py code, of which I took from https://gist.github.com/osdf/ test_mul.py : import numpy import sys import timeit try: import numpy.core._dotblas print

C# calling Intel MKL cblas_dgemm_batch

由 岁酱吖の 提交于 2019-12-08 12:39:43
问题 I can call Intel MKL cblas_dgem from C#, see the following code: [DllImport("custom_mkl", CallingConvention = CallingConvention.Cdecl, ExactSpelling = true, SetLastError = false)] internal static extern void cblas_dgemm( int Order, int TransA, int TransB, MKL_INT M, MKL_INT N, MKL_INT K, double alpha, [In] double[,] A, MKL_INT lda, [In] double[,] B, MKL_INT ldb, double beta, [In, Out] double[,] C, MKL_INT ldc); and void cblas_dgemm (const CBLAS_LAYOUT Layout, const CBLAS_TRANSPOSE transa,

Link MKL to an installed Numpy in Anaconda?

由 旧城冷巷雨未停 提交于 2019-12-07 10:10:26
问题 >>> numpy.__config__.show() atlas_threads_info: NOT AVAILABLE blas_opt_info: libraries = ['f77blas', 'cblas', 'atlas'] library_dirs = ['/home/admin/anaconda/lib'] define_macros = [('ATLAS_INFO', '"\\"3.8.4\\""')] language = c atlas_blas_threads_info: NOT AVAILABLE openblas_info: NOT AVAILABLE lapack_opt_info: libraries = ['lapack', 'f77blas', 'cblas', 'atlas'] library_dirs = ['/home/admin/anaconda/lib'] define_macros = [('ATLAS_INFO', '"\\"3.8.4\\""')] language = f77 openblas_lapack_info: NOT

tensorflow build - CPU / MKL / Windows

由 梦想的初衷 提交于 2019-12-06 10:03:19
问题 Has anyone succeeded to build tensorflow python wheel with the following configuration: CPU (not GPU) OS: Windows 7 / server 2012 Using Intel MKL and/or mkl-dnn Python 3.6 I am struggling, for days now, trying to tweak bazel files and cmake files without success. Would like to know if someone succeeded and willing to share what he did . Thanks, Lior 回答1: Solution: 1 Installing TensorFlow from Source on windows is not generally supported. But you can try building this using bazel or tensorflow

Link the R Package Depending on RcppEigen with MKL in Microsoft R Open

由 [亡魂溺海] 提交于 2019-12-06 08:11:03
问题 I have built a custom package with some functions written in RcppEigen. I also have Microsoft R open with Intel MKL enabled. How could I link the R package to the Intel MKL feature? Setup 1 : Below are procedures that I have tried to link the package with MKL in the normal R, but failed: The Eigen documents says I need: 1. #define EIGEN_USE_MKL_ALL 2. link your program to MKL libraries (the MKL linking advisor) Based on 2, in my file Makevars PKG_CXXFLAGS = -I/opt/intel/mkl/include PKG_LIBS =

using mkl, error while loading shared libraries: libmkl_intel_lp64.so

由 旧街凉风 提交于 2019-12-06 06:53:43
I'm almost new in using mkl libraries. So excuse me if it seems silly. I tried to run an example in tutorial [here] with ifort -mkl dgemm_example.f ,then run the executable file. Here is the error: ./a.out: error while loading shared libraries: libmkl_intel_lp64.so: cannot open shared object file: No such file or directory I also searched for the similar problems but it baffled me more. do you have any idea? dgemm_example.f You have to set the LD_LIBRARY_PATH environment variable, otherwise the shared library will not be found at run time. Before running your program, type export LD_LIBRARY

Where to locate the Intel MKL in Matlab

由 柔情痞子 提交于 2019-12-06 04:17:02
问题 I have a MATLAB subscription and I have read that MATLAB uses Intel MKL libraries but I am not sure where to locate all the DLLs / files corresponding to the Intel MKL libraries. I could find any mention of their location in the documentation. Thanks 回答1: You will find the library at [matlabroot]\bin\ARCH\mkl.dll (e.g. C:\Program Files\MATLAB\R2013b\bin\win64\mkl.dll), but this is just the runtime library. I don't think there is anything you can do with it. To actually develop with Intel MKL,

Link MKL to an installed Numpy in Anaconda?

由 杀马特。学长 韩版系。学妹 提交于 2019-12-05 14:39:34
>>> numpy.__config__.show() atlas_threads_info: NOT AVAILABLE blas_opt_info: libraries = ['f77blas', 'cblas', 'atlas'] library_dirs = ['/home/admin/anaconda/lib'] define_macros = [('ATLAS_INFO', '"\\"3.8.4\\""')] language = c atlas_blas_threads_info: NOT AVAILABLE openblas_info: NOT AVAILABLE lapack_opt_info: libraries = ['lapack', 'f77blas', 'cblas', 'atlas'] library_dirs = ['/home/admin/anaconda/lib'] define_macros = [('ATLAS_INFO', '"\\"3.8.4\\""')] language = f77 openblas_lapack_info: NOT AVAILABLE atlas_info: libraries = ['lapack', 'f77blas', 'cblas', 'atlas'] library_dirs = ['/home/admin

Keras with Tensorflow backend on GPU. MKL ERROR: Parameter 4 was incorrect on entry to DLASCL

由 余生颓废 提交于 2019-12-05 11:23:03
I installed Tensorflow with GPU support and Keras to an environment in Anaconda (v1.6.5) by using following commands: conda install -n EnvName tensorflow-gpu conda install -n EnvName -c conda-forge keras-gpu I have NVIDIA Quadro 2200K on my machine with driver v384.66, cuda-8.0, cudnn 7.0 When I am trying to run a python code with Keras at the stage of training I get the following Intel MKL ERROR: Parameter 4 was incorrect on entry to DLASCL. and later File "/home/User/anaconda3/envs/keras_gpu/lib/python3.6/site-packages/numpy/linalg/linalg.py", line 99, in _raise_linalgerror_svd

Supposed automatically threaded scipy and numpy functions aren't making use of multiple cores

由 别等时光非礼了梦想. 提交于 2019-12-04 21:29:23
问题 I am running Mac OS X 10.6.8 and am using the Enthought Python Distribution. I want for numpy functions to take advantage of both my cores. I am having a problem similar to that of this post: multithreaded blas in python/numpy but after following through the steps of that poster, I still have the same problem. Here is my numpy.show_config(): lapack_opt_info: libraries = ['mkl_lapack95_lp64', 'mkl_intel_lp64', 'mkl_intel_thread', 'mkl_core', 'mkl_mc', 'mkl_mc3', 'pthread'] library_dirs = ['
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