Hi Carl,
Could you please provide some details on how you used your
mingw-static toolchain to build OpenBLAS, numpy scipy? I would like
to replicate but apparently the default Makefile in the openblas
projects expects unix commands such as `uname` and `perl` that are not
part of your archive.
Two quick comments:
- You need MSYS or Cygwin to build OpenBLAS. MSYS has uname and perl. Carl
probably used MSYS.
- BLAS and LAPACK are Fortran libs, hence there are no header files. NumPy
and SciPy include their own cblas headers.
Sturla
Olivier Grisel olivier.gri...@ensta.org wrote:
Hi
Basically you need:
(1) site.cfg or %HOME%\.numpy-site.cfg with the following content: (change
the paths according to your installation)
[openblas]
libraries = openblas
library_dirs = D:/devel/packages/openblas/amd64/lib
include_dirs = D:/devel/packages/openblas/amd64/include
OpenBLAS was build
On Tue, Jan 27, 2015 at 8:53 PM, Ralf Gommers ralf.gomm...@gmail.com wrote:
On Mon, Jan 26, 2015 at 4:30 PM, Carl Kleffner cmkleff...@gmail.com wrote:
Thanks for all your ideas. The next version will contain an augumented
libopenblas.dll in both numpy and scipy. On the long term I would
On Mon, Jan 26, 2015 at 4:30 PM, Carl Kleffner cmkleff...@gmail.com wrote:
Thanks for all your ideas. The next version will contain an augumented
libopenblas.dll in both numpy and scipy. On the long term I would prefer
an external openblas wheel package, if there is an agreement about this
On Tue, Jan 27, 2015 at 10:13 PM, Nathaniel Smith n...@pobox.com wrote:
On Tue, Jan 27, 2015 at 8:53 PM, Ralf Gommers ralf.gomm...@gmail.com
wrote:
On Mon, Jan 26, 2015 at 4:30 PM, Carl Kleffner cmkleff...@gmail.com
wrote:
Thanks for all your ideas. The next version will contain an
Hi,
On Tue, Jan 27, 2015 at 1:37 PM, Carl Kleffner cmkleff...@gmail.com wrote:
2015-01-27 22:13 GMT+01:00 Nathaniel Smith n...@pobox.com:
On Tue, Jan 27, 2015 at 8:53 PM, Ralf Gommers ralf.gomm...@gmail.com
wrote:
On Mon, Jan 26, 2015 at 4:30 PM, Carl Kleffner cmkleff...@gmail.com
On 27/01/15 11:32, Carl Kleffner wrote:
OpenBLAS in the test wheels is build with DYNAMIC_ARCH, that is all
assembler based kernels are included and are choosen at runtime.
Ok, I wasn't aware of that option. Last time I built OpenBLAS I think I
had to specify the target CPU.
Non
optimized
2015-01-27 0:16 GMT+01:00 Sturla Molden sturla.mol...@gmail.com:
On 26/01/15 16:30, Carl Kleffner wrote:
Thanks for all your ideas. The next version will contain an augumented
libopenblas.dll in both numpy and scipy. On the long term I would
prefer an external openblas wheel package, if
Thanks for all your ideas. The next version will contain an augumented
libopenblas.dll in both numpy and scipy. On the long term I would prefer
an external openblas wheel package, if there is an agreement about this
among numpy-dev.
Another idea for the future is to conditionally load a debug
On 24-Jan-15 12:14 PM, Carl Kleffner wrote:
Just a wild guess:
(1) update your pip and try again
Thanks. My pip version was 1,5,6, it is now 6.0.6
(2) use the bitbucket wheels with:
pip install --no-index -f
https://bitbucket.org/carlkl/mingw-w64-for-python/downloads numpy
Successfully
On Sat, Jan 24, 2015 at 5:29 PM, Carl Kleffner cmkleff...@gmail.com wrote:
2015-01-23 0:23 GMT+01:00 Nathaniel Smith n...@pobox.com:
On Thu, Jan 22, 2015 at 9:29 PM, Carl Kleffner cmkleff...@gmail.com
wrote:
OpenBLAS is deployed as part of the numpy wheel. That said, the scipy
wheels
2015-01-25 16:46 GMT+01:00 Nathaniel Smith n...@pobox.com:
On Sat, Jan 24, 2015 at 5:29 PM, Carl Kleffner cmkleff...@gmail.com
wrote:
2015-01-23 0:23 GMT+01:00 Nathaniel Smith n...@pobox.com:
On Thu, Jan 22, 2015 at 9:29 PM, Carl Kleffner cmkleff...@gmail.com
wrote:
OpenBLAS is
+1 for bundling OpenBLAS both in scipy and numpy in the short term.
Introducing a new dependency project for OpenBLAS sounds like a good
idea but this is probably more work.
--
Olivier
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On 25/01/15 22:15, Matthew Brett wrote:
I agree, that shipping openblas with both numpy and scipy seems
perfectly reasonable to me - I don't think anyone will much care about
the 30M, and I think our job is to make something that works with the
least complexity and likelihood of error.
Yes.
On 25 Jan 2015 18:46, Carl Kleffner cmkleff...@gmail.com wrote:
2015-01-25 16:46 GMT+01:00 Nathaniel Smith n...@pobox.com:
On Sat, Jan 24, 2015 at 5:29 PM, Carl Kleffner cmkleff...@gmail.com
wrote:
2015-01-23 0:23 GMT+01:00 Nathaniel Smith n...@pobox.com:
On Thu, Jan 22, 2015 at 9:29
Hi,
On Sun, Jan 25, 2015 at 12:23 PM, Nathaniel Smith n...@pobox.com wrote:
On 25 Jan 2015 18:46, Carl Kleffner cmkleff...@gmail.com wrote:
2015-01-25 16:46 GMT+01:00 Nathaniel Smith n...@pobox.com:
On Sat, Jan 24, 2015 at 5:29 PM, Carl Kleffner cmkleff...@gmail.com
wrote:
2015-01-23
Just a wild guess:
(1) update your pip and try again
(2) use the bitbucket wheels with:
pip install --no-index -f
https://bitbucket.org/carlkl/mingw-w64-for-python/downloads numpy
pip install --no-index -f
https://bitbucket.org/carlkl/mingw-w64-for-python/downloads scipy
(3) check if there i
On 22-Jan-15 6:23 PM, Nathaniel Smith wrote:
On Thu, Jan 22, 2015 at 9:29 PM, Carl Kleffner cmkleff...@gmail.com wrote:
I took time to create mingw-w64 based wheels of numpy-1.9.1 and scipy-0.15.1
source distributions and put them on
https://bitbucket.org/carlkl/mingw-w64-for-python/downloads
2015-01-23 0:23 GMT+01:00 Nathaniel Smith n...@pobox.com:
On Thu, Jan 22, 2015 at 9:29 PM, Carl Kleffner cmkleff...@gmail.com
wrote:
I took time to create mingw-w64 based wheels of numpy-1.9.1 and
scipy-0.15.1
source distributions and put them on
All tests for the 64bit builds passed.
Carl
2015-01-23 0:11 GMT+01:00 Sturla Molden sturla.mol...@gmail.com:
Were there any failures with the 64 bit build, or did all tests pass?
Sturla
On 22/01/15 22:29, Carl Kleffner wrote:
I took time to create mingw-w64 based wheels of numpy-1.9.1
2015-01-23 9:25 GMT+01:00 Carl Kleffner cmkleff...@gmail.com:
All tests for the 64bit builds passed.
Thanks very much Carl. Did you have to patch the numpy / distutils
source to build those wheels are is this using the source code from
the official releases?
--
Olivier
I took time to create mingw-w64 based wheels of numpy-1.9.1 and
scipy-0.15.1 source distributions and put them on
https://bitbucket.org/carlkl/mingw-w64-for-python/downloads as well as on
binstar.org. The test matrix is python-2.7 and 3.4 for both 32bit and
64bit.
Feedback is welcome.
The wheels
Thanks Carl,
This is good to hear. I presume that the AMD64 is covered.
Colin W.
On 22-Jan-15 4:29 PM, Carl Kleffner
wrote:
I took time to create mingw-w64 based wheels of numpy-1.9.1 and
scipy-0.15.1 source distributions and put them on
Were there any failures with the 64 bit build, or did all tests pass?
Sturla
On 22/01/15 22:29, Carl Kleffner wrote:
I took time to create mingw-w64 based wheels of numpy-1.9.1 and
scipy-0.15.1 source distributions and put them on
https://bitbucket.org/carlkl/mingw-w64-for-python/downloads
On Thu, Jan 22, 2015 at 9:29 PM, Carl Kleffner cmkleff...@gmail.com wrote:
I took time to create mingw-w64 based wheels of numpy-1.9.1 and scipy-0.15.1
source distributions and put them on
https://bitbucket.org/carlkl/mingw-w64-for-python/downloads as well as on
binstar.org. The test matrix is
Yes,
I build win32 as well as amd64 binaries.
Carlkl
2015-01-22 23:06 GMT+01:00 cjw c...@ncf.ca:
Thanks Carl,
This is good to hear. I presume that the AMD64 is covered.
Colin W.
On 22-Jan-15 4:29 PM, Carl Kleffner wrote:
I took time to create mingw-w64 based wheels of numpy-1.9.1
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