None of that-this is why it has been so frustrating!
Only thing I did was remove the folders in the ./build directory in order
to get a cleaner slate, and just changed a couple libraries in site.cfg,
and got the error, and it persisted even when I went back to the libraries
I had given it when I g
On Mar 16, 2012, at 8:28 PM, Glen Jenness wrote:
> Fransesc,
> I don't think that's the problem-I'm working with a version of numpy I had
> downloaded back in Dec/Jan and have not updated it since.
>
> However, doing a "LD_PRELOAD" seems to have fixed the problem, but now
> whenever I'm running
Fransesc,
I don't think that's the problem-I'm working with a version of numpy I had
downloaded back in Dec/Jan and have not updated it since.
However, doing a "LD_PRELOAD" seems to have fixed the problem, but now
whenever I'm running a script I get:
python 2.4.3 GCC 4.1.2 20070626 (Red Hat 4.1.
On Mar 16, 2012, at 8:00 PM, Glen Jenness wrote:
> Dear users,
> I was playing around with my numpy configuration, and it is now no longer
> working. Whenever I try to run anything with it, I get:
>
> ...MKL FATAL ERROR: /opt/intel/mkl/10.0.3.020/lib/em64t/: cannot read file
> data: Is a direc
Dear users,
I was playing around with my numpy configuration, and it is now no longer
working. Whenever I try to run anything with it, I get:
...MKL FATAL ERROR: /opt/intel/mkl/10.0.3.020/lib/em64t/: cannot read file
data: Is a directory
My site.cfg file is (in case it helps!):
[DEFAULT]
library
the person managing the list at
numpy-discussion-ow...@scipy.org
Message: 1
Date: Tue, 13 Sep 2011 09:58:27 -0400
From: Olivier Delalleau
Subject: Re: [Numpy-discussion] Numpy -
MKL - build error
To: Discussion of Numerical Python
Message-ID:
Content-Type: text/plain; charset="iso-88
drwxr-xr-x 3 root root 4096 Aug 18 11:43 locale
> Y
>
>
> you can reach the person managing the list at
> numpy-discussion-ow...@scipy.org
>
>
> Message: 1
> Date: Tue, 13 Sep 2011 09:58:27 -0400
> From: Olivier Delalleau
> Subject: Re: [Numpy-discussion]
locale
Y
you can reach the person managing the list at
numpy-discussion-ow...@scipy.org
Message: 1
Date: Tue, 13 Sep 2011 09:58:27 -0400
From: Olivier Delalleau
Subject: Re: [Numpy-discussion] Numpy - MKL - build error
To: Discussion of Numerical Python
Message-ID:
Content-Type
Sorry if it sounds like a stupid question, but are the files listed in the
error message present in that directory?
If yes, maybe try running the command with sudo, just in case it would be
some weird permission issue.
-=- Olivier
2011/9/13 Igor Ying
> Hi,
>
> I am very new to Numpy and tryin
Hi,
I am very new to Numpy and trying to build Numpy 1.6.1 with Intel MKL 10.3.6
and getting the following errors.
$python setup.py config --compiler=intel build_clib --compiler=intel build_ext
--compiler=intel install
Running from numpy source directory.F2PY Version 2
blas_opt_info:
blas_mk
Hi,
from what I've been reading, and testing myself, 64bit CPU's from AMD
and actually it seems like almost all 64bit other than IA64, use em64t
in MKL - but in Numpy (at least 1.4.1), this architecture is picked
only for Xeon - though older Xeons were not 64 bit iirc - I'm talking
about numpy/dis
On 7-Jan-10, at 8:13 PM, Xue (Sue) Yang wrote:
> This is what I had (when I built numpy, I chose gnu compilers
> instead of
> intel compilers),
>
numpy.show_config()
> lapack_opt_info:
>libraries = ['mkl_lapack', 'mkl', 'vml', 'guide', 'pthread']
>library_dirs = ['/usr/physics/intel
This is what I had (when I built numpy, I chose gnu compilers instead of
intel compilers),
>>> numpy.show_config()
lapack_opt_info:
libraries = ['mkl_lapack', 'mkl', 'vml', 'guide', 'pthread']
library_dirs = ['/usr/physics/intel/mkl/lib/32']
define_macros = [('SCIPY_MKL_H', None)]
On 7-Jan-10, at 6:58 PM, Xue (Sue) Yang wrote:
> Do I need any specifications when I run numpy with intel MKL (MKL9.1)?
> numpy developers would be able to answer this question?
Are you sure you've compiled against MKL properly? What is printed by
numpy.show_config()?
David
___
I understand that intel mkl uses openMP parallel model. Therefore I set
environment variable
>>os.environ['OMP_NUM_THREADS'] = '4'
With same test example, however, still one cpu is used.
Do I need any specifications when I run numpy with intel MKL (MKL9.1)?
numpy developers would be able to a
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