Re: [Numpy-discussion] Unable to building numpy with openblas using bento or distutils

2013-03-23 Thread Skipper Seabold
On Sat, Mar 23, 2013 at 8:44 PM, Skipper Seabold wrote: > On Sat, Mar 23, 2013 at 7:26 PM, Ake Sandgren > wrote: >> On Sat, 2013-03-23 at 14:19 -0400, Skipper Seabold wrote: >>> Some help on this would be greatly appreciated. It's been recommended >>> to use OpenBlas over ATLAS, so I've been try

Re: [Numpy-discussion] Unable to building numpy with openblas using bento or distutils

2013-03-23 Thread Skipper Seabold
On Sat, Mar 23, 2013 at 7:26 PM, Ake Sandgren wrote: > On Sat, 2013-03-23 at 14:19 -0400, Skipper Seabold wrote: >> Some help on this would be greatly appreciated. It's been recommended >> to use OpenBlas over ATLAS, so I've been trying to build numpy with >> openblas and have run into a few probl

Re: [Numpy-discussion] Unable to building numpy with openblas using bento or distutils

2013-03-23 Thread Ake Sandgren
On Sat, 2013-03-23 at 14:19 -0400, Skipper Seabold wrote: > Some help on this would be greatly appreciated. It's been recommended > to use OpenBlas over ATLAS, so I've been trying to build numpy with > openblas and have run into a few problems. > > To truly support OpenBlas, is it maybe necessary

Re: [Numpy-discussion] Execution time difference between 2.7 and 3.2 using numpy

2013-03-23 Thread Colin J. Williams
On 23/03/2013 12:05 AM, Chris Barker - NOAA Federal wrote: On Fri, Mar 22, 2013 at 2:39 PM, Colin J. Williams wrote: I have updated to numpy 1.7.0 for each of the Pythons 2.7.3, 3.2.3 and 3.3.0. ... The tests, which are

Re: [Numpy-discussion] Execution time difference between 2.7 and 3.2 using numpy

2013-03-23 Thread Colin J. Williams
On 23/03/2013 11:17 AM, Daπid wrote: I am a bit worried about the differences in results. Just to be sure you are comparing apples with apples, it may be a good idea to set the seed at the beginning: np.random.seed( SEED ) where SEED is an int. This way, you will be inv

Re: [Numpy-discussion] Unable to building numpy with openblas using bento or distutils

2013-03-23 Thread Skipper Seabold
On Sat, Mar 23, 2013 at 2:32 PM, Hanno Klemm wrote: > Skipper, > this looks like a problem that I had in the bad old days with ATLAS, as > well. Try compiling openblas with the -fPIC flag that used to help. > > Thanks for having a look. I checked after seeing that odd bento failure (see here [1])

Re: [Numpy-discussion] Unable to building numpy with openblas using bento or distutils

2013-03-23 Thread Hanno Klemm
Skipper, this looks like a problem that I had in the bad old days with ATLAS, as well. Try compiling openblas with the -fPIC flag that used to help. Best of luck, Hanno hanno.kl...@me.com Sent from my mobile device, please excuse my brevity. On 23.03.2013, at 19:19, Skipper Seabold wrote:

[Numpy-discussion] Unable to building numpy with openblas using bento or distutils

2013-03-23 Thread Skipper Seabold
Some help on this would be greatly appreciated. It's been recommended to use OpenBlas over ATLAS, so I've been trying to build numpy with openblas and have run into a few problems. 1) Build fails using bento master and waf 1.7.9, see below. 2) Distutils doesn't seem to be able to find lapack as pa

Re: [Numpy-discussion] Execution time difference between 2.7 and 3.2 using numpy

2013-03-23 Thread Daπid
I am a bit worried about the differences in results. Just to be sure you are comparing apples with apples, it may be a good idea to set the seed at the beginning: np.random.seed( SEED ) where SEED is an int. This way, you will be inverting always the same matrix, regardless of the Python version.

Re: [Numpy-discussion] Execution time difference between 2.7 and 3.2 using numpy

2013-03-23 Thread Colin J. Williams
On 23/03/2013 7:21 AM, Ralf Gommers wrote: On Fri, Mar 22, 2013 at 10:39 PM, Colin J. Williams wrote: On 20/03/2013 11:12 AM, Frédéric Bastien

Re: [Numpy-discussion] Execution time difference between 2.7 and 3.2 using numpy

2013-03-23 Thread Ralf Gommers
On Sat, Mar 23, 2013 at 12:23 PM, Todd wrote: > On Sat, Mar 23, 2013 at 12:21 PM, Ralf Gommers wrote: > >> >> That's not the case. The official binaries for NumPy and SciPy are on >> SourceForge. The Windows installers on PyPI are there to make easy_install >> work, but they're likely slower than

Re: [Numpy-discussion] Execution time difference between 2.7 and 3.2 using numpy

2013-03-23 Thread Todd
On Sat, Mar 23, 2013 at 12:21 PM, Ralf Gommers wrote: > > That's not the case. The official binaries for NumPy and SciPy are on > SourceForge. The Windows installers on PyPI are there to make easy_install > work, but they're likely slower than the SF installers (no SSE2/SSE3 > instructions). > > R

Re: [Numpy-discussion] Execution time difference between 2.7 and 3.2 using numpy

2013-03-23 Thread Ralf Gommers
On Fri, Mar 22, 2013 at 10:39 PM, Colin J. Williams wrote: > On 20/03/2013 11:12 AM, Frédéric Bastien wrote: > > On Wed, Mar 20, 2013 at 11:01 AM, Colin J. Williams > wrote: > > On 20/03/2013 10:30 AM, Frédéric Bastien wrote: > > Hi, > > win32 do not mean it is a 32 bits windows. sys.platform