I am struggling to get theano to run on multiple cores. When I ran
check_blas.py using:
THEANO_FLAGS='floatX=float32,device=cpu,nvcc.flags=-D_FORCE_INLINES'
> OMP_NUM_THREADS=8 python checkblas.py
>
It still only ran using 1 core, the output is:
Some Theano flags:
> blas.ldflags= -lblas
> compiledir=
> /home/scottyiu/.theano/compiledir_Linux-4.4--generic-x86_64-with-debian-stretch-sid-x86_64-2.7.12-64
> floatX= float32
> device= cpu
> Some OS information:
> sys.platform= linux2
> sys.version= 2.7.12 |Anaconda 4.2.0 (64-bit)| (default, Jul 2 2016,
> 17:42:40)
> [GCC 4.4.7 20120313 (Red Hat 4.4.7-1)]
> sys.prefix= /home/scottyiu/anaconda2
> Some environment variables:
> MKL_NUM_THREADS= None
> OMP_NUM_THREADS= 4
> GOTO_NUM_THREADS= None
>
> Numpy config: (used when the Theano flag "blas.ldflags" is empty)
> lapack_opt_info:
> libraries = ['openblas']
> library_dirs = ['/usr/local/lib']
> define_macros = [('HAVE_CBLAS', None)]
> language = c
> blas_opt_info:
> libraries = ['openblas']
> library_dirs = ['/usr/local/lib']
> define_macros = [('HAVE_CBLAS', None)]
> language = c
> openblas_info:
> libraries = ['openblas']
> library_dirs = ['/usr/local/lib']
> define_macros = [('HAVE_CBLAS', None)]
> language = c
> openblas_lapack_info:
> libraries = ['openblas']
> library_dirs = ['/usr/local/lib']
> define_macros = [('HAVE_CBLAS', None)]
> language = c
> blas_mkl_info:
> NOT AVAILABLE
> Numpy dot module: numpy.core.multiarray
> Numpy location:
> /home/scottyiu/anaconda2/lib/python2.7/site-packages/numpy/__init__.pyc
> Numpy version: 1.10.4
>
However, when I run numpy normally, it can use up to eight threads:
import numpy as np
>
size = 10000
>
a = np.random.random_sample((size, size))
>
b = np.random.random_sample((size, size))
>
n = np.dot(a,b)
>
Could someone please give me some advice? Thank you.
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