Sure, that's a good call to know about. It looks like it's not using the same setting for library_dirs as what's in my LD_LIBRARY_PATH.
numpy.show_config() blas_info: libraries = ['blas'] library_dirs = ['/usr/lib'] language = f77
lapack_info: libraries = ['lapack'] library_dirs = ['/usr/lib'] language = f77 atlas_threads_info: NOT AVAILABLE blas_opt_info: libraries = ['blas'] library_dirs = ['/usr/lib'] language = f77 define_macros = [('NO_ATLAS_INFO', 1)] atlas_blas_threads_info: NOT AVAILABLE lapack_opt_info: libraries = ['lapack', 'blas'] library_dirs = ['/usr/lib'] language = f77 define_macros = [('NO_ATLAS_INFO', 1)] atlas_info: NOT AVAILABLE lapack_mkl_info: NOT AVAILABLE blas_mkl_info: NOT AVAILABLE atlas_blas_info: NOT AVAILABLE mkl_info: NOT AVAILABLE
ia3n@gaussian:~/theano/2_atlas% echo $LD_LIBRARY_PATH /usr/lib/atlas/sse2
----- Original Message ----- From: "David Warde-Farley" <dwf@cs.toronto.edu> To: "SciPy Users List" <scipy-user@scipy.org> Sent: Thursday, March 11, 2010 1:06:46 PM GMT -08:00 US/Canada Pacific Subject: Re: [SciPy-User] [SciPy-user] ATLAS install has no effect On 11-Mar-10, at 3:21 PM, stair314 wrote:
However, the instructions recommend squaring a 1000x1000 matrix with and without LD_LIBRARY_PATH set to use ATLAS to test whether the installation worked. I get no difference when setting LD_LIBRARY_PATH to use ATLAS. Also, this task takes less than a second in Matlab but is taking 10.3 seconds in numpy. Any ideas how to diagnose whether numpy is using ATLAS or if my installation of ATLAS is just slow?
Can you give us the output of numpy.show_config()? David _______________________________________________ SciPy-User mailing list SciPy-User@scipy.org http://mail.scipy.org/mailman/listinfo/scipy-user