Hi David,
Sounds very interesting, have you noticed any improvement in performance ove
using the builtin numpy blas lite?
If you need someone to test on Windows 64 I would be happy to do so.
Hanni
2009/6/29 David Cournapeau da...@ar.media.kyoto-u.ac.jp
Hi,
I started working on a new
Is anyone using numpy in 64-bit environments on a day-to-day basis?
Windows 2003 64
Are you using very large arrays, i.e. over 2G in size?
Yes without any problems, using Python 2.6.
Hanni
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Hi David,
I used free trials of the Intel and PGI compilers to try to compile an
external BLAS/LAPACK in conjunction with VS 2008. I also had no problems
getting the C code to compile, but couldn't get linking to work succesfully
with fortran stuff. I would not be surprised if we could get a
I have been meaning to chip in but so far hadn't got to it so hear goes.
In response to this particular issue I currently use numpy (1.2.1) built
with msvc VS 2008 by simply commenting out these definitions in the
numpy\core\src\umathmodule.c.src
That works just fine and allows me to use the
Hi,
I have been having trouble with the PyArray_Zeros/PyArray_ZEROS functions. I
cannot seem to create an array using these functions.
resultArray = PyArray_ZEROS(otherArray-nd, otherArray-dimensions,
NPY_DOUBLE, 0);
I would have thought this would have created an array the same shape as the
Hi,
Quick question, I've been doing a fair bit of extension writing in C
recently, but wondered how best to implement:
l = [[]] * 5
to create a list of a given length containing the initialization variable
desired.
A loop seems the straight forward manner, but I would have thought there was
a
in each element of the
outer list. If you don't want this, use [[] for i in range(5)]. I
don't think there is another way in C either (or too complicated).
Matthieu
2009/1/26 Hanni Ali hanni@gmail.com:
Hi,
Quick question, I've been doing a fair bit of extension writing in C
I have been using your profiler extensively and it has contributed to my
achieving significant improvements in the application I work on largely due
to the usefulness of the line by line breakdown enabling me to easily select
the next part of code to work on optimizing. So firstly many thanks for
Hi All,
I have encountered a puzzling issue and I am not certain if this is a
mistake of my own doing or not. Would someone kindly just look over this
issue to make sure I'm not doing something very silly.
So, why would the sum of an array have a different value depending on the
order I select
] בשם Hanni Ali
נשלח: ג 09-דצמבר-08 16:07
אל: Discussion of Numerical Python
נושא: [Numpy-discussion] Importance of order when summing values in anarray
Hi All,
I have encountered a puzzling issue and I am not certain if this is a
mistake of my own doing or not. Would someone kindly just
Hi Bruce,
Ahh, but I would have thought the precision for the array operation would be
the same no matter which values I wish to sum? The array is in float64 in
all cases.
I would not have thought altering the type of the integer values would make
any difference as these indices are all below 5
Hi,
I have spent some time trying to use different methods to build numpyon
Windows 64bit with a version of BLAS/LAPACK other than the inbuilt one (no
slur on the inbuilt one it is excellent, I am simply attempting to see if
there is any alternative with better performance). The most recent i
Hi All,
I have reached the point where I really need to get some sort of
optimised/accelerated BLAS/LAPACK for windows 64 so have been trying a few
different things out to see whether I can get anything usable, today i
stumbled across this:
http://icl.cs.utk.edu/lapack-for-windows/index.html
Just to note, on the compilation issue, I encountered this a while ago with
numpy 1.1.1 and I think Python 2.6b2, again because we wanted to skip Python
2.5 in my organization, largely because it was an issue to get working on
64-bit. I couldn't find anywhere 7.1 was available.
We discussed
Hi Alan,
I've been using numpy with 2.6 on amd64 for about 3 months no problem and
far more stable on 64-bit than the same combination with 2.5.
Daniel, just download the source and compile it yourself. You need to use VS
9.0 for best compatibility with Python and I haven't yet sorted out fast
Hi David,
Yeah nose was an issue, thanks for letting me know about nose compatibility
being sorted that's good news as I use it a bit with my testing.
I last built 1.1.1 with express for 32bit it went fine (although I think you
do have to comment out , I was also able to compile with 2008 full
I already was...
2008/9/9 Matthieu Brucher [EMAIL PROTECTED]
Use 1./n instead of 1/n. If n is an integer, 1/n equals 0.
Matthieu
2008/9/9 Hanni Ali [EMAIL PROTECTED]:
Hi Matthieu,
Interesting example thanks. I can't however seem to get anything other
than
zero for the 100,000 to 1
Hi,
Is there a way I can set numpy to use dtype='float64' throughout all my code
or force it to use the biggest datatype without adding the dtype='float64'
to every call to mean, stdev etc..
2008/9/3 Sebastian Stephan Berg [EMAIL PROTECTED]
Hi,
just guessing here. But numarray seems to
Hi,
I have encountered a worrying problem, during migration of software from
numarray to numpy, perhaps someone could help me determine how this could be
addressed.
I have a large array or values 1 long 12 items per line. The matrix
contains floats, dtype=float32 in numpy and type=Float32 in
()
0.41582015156745911
2008/9/3 David Cournapeau [EMAIL PROTECTED]
Hanni Ali wrote:
Hi Matthieu,
I thought as much, regarding the computations, but was just presenting
the information.
Is your matrix available somewhere so that we can reproduce the problem
? Off-hand, I can't see
Sebastian you legend, that seems to be it.
Thank you very much.
matrix.mean(dtype='float64')
0.41582015156745911
What seems odd is that numpy doesn't do this on it's own...
2008/9/3 Sebastian Stephan Berg [EMAIL PROTECTED]
Hi,
just guessing here. But numarray seems to calculate the
Also can you think of a way either dtype is always float64? I have a lot of
functions and to add dtype='float64' would require *loads* of testing,
whereas if I can set it centrally on the matrix or in the environment that
would be so much easier.
Hanni
2008/9/3 Hanni Ali [EMAIL PROTECTED
bugs. Least surprise is always
better ;)
Matthieu
2008/9/3, Hanni Ali [EMAIL PROTECTED]:
Sebastian you legend, that seems to be it.
Thank you very much.
matrix.mean(dtype='float64')
0.41582015156745911
What seems odd is that numpy doesn't do this on it's own...
2008/9/3
Oh ok, I shall have to find where I did that then. Thanks
2008/9/3 Matthieu Brucher [EMAIL PROTECTED]
By default, numpy uses float64, but you told it to use float32 ;)
Matthieu
2008/9/3, Hanni Ali [EMAIL PROTECTED]:
Also can you think of a way either dtype is always float64? I have a lot
We used to care about memory when we were running on 32-bit platforms, but
with the move to 64-bit, enabled by the current work, the issue is removed
and I will probably be changing everything for more accuracy.
Thanks
Hanni
2008/9/3 David Cournapeau [EMAIL PROTECTED]
Hanni Ali wrote
Hi All,
I've been reading this discussion with interest.
I would just to highlight an alternate use of numpy to interactive use. We
have a cluster of machines which process tasks on an individual basis where
a master tasks may spawn 600 slave tasks to be processed. These tasks are
spread across
Would it not be possible to import just the necessary module of numpy to
meet the necessary functionality of your application.
i.e.
import numpy.core
or whatever you're using
you could even do:
import numpy.core as numpy
I think, to simplify your code, I'm no expert though.
Hanni
2008/7/1
, so it will be even slower.
Matthieu
2008/7/1 Hanni Ali [EMAIL PROTECTED]:
Would it not be possible to import just the necessary module of numpy to
meet the necessary functionality of your application.
i.e.
import numpy.core
or whatever you're using
you could even do
I have used the trail of Visual Studio 2008 (on full Server 2003) it
copmiles and runs well if you comment out the lines meantioned earlier on in
this thread.
I am planning to spend some time with the intel fortran compiler to try to
compile blas/lapack in the next few weeks. It is part of my
recognised the compiler should simply be using the
alternate definition of the frexpf function defined, although I suspect it
is a little less efficient than the float one from the libs.
Hanni
2008/6/3 Robert Kern [EMAIL PROTECTED]:
On Tue, Jun 3, 2008 at 3:21 AM, Hanni Ali [EMAIL PROTECTED] wrote
Hi David,
Unfortunately, this is difficult: windows 64 is not commonly available
(I don't have any access to it personally, for example), and mingw is
not available yet for windows 64 either.
I had managed to compile and install 1.04 with vs 2005 64 bit with a bit of
hacking, however it had
Hi David,
I can't build official binaries with VS: I don't have VS. Also, there is
the problem of building the fortran dependencies (BLAS/LAPACK). I don't
know if it is even possible to build ATLAS on windows x64. Even assuming
we only use netlib BLAS/LAPACK, I still need a fortran
Excellenm, thanks for clearing all that up.
How about numpy with 2.6, any issues?
Hanni
2008/6/2 David Cournapeau [EMAIL PROTECTED]:
Hanni Ali wrote:
Yes I had used the internal versions in the mean time, but I do want
to try to use the intel fortran compiler in all likelyhood.
Yes
I would also like to see a 64bit build for windows as well if possible.
Hanni
2008/5/30 Peter Creasey [EMAIL PROTECTED]:
2008/5/30 Peter Creasey [EMAIL PROTECTED]:
Is numpy v1.1 going to come out in egg format?
Oops, I didn't mean to mail with an entire numpy digest in the body.
sorry,
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