On Mon, Nov 19, 2012 at 4:17 PM, Virgil Stokes wrote:
> I am using the latest versions of numpy (from
> numpy-1.7.0b2-win32-superpack-python2.7.exe) and scipy (from
> scipy-0.11.0-win32-superpack-python2.7.exe ) on a windows 7 (32-bit)
> platform.
>
> I have used
>
> import numpy as np
> q,r = np
I am using the latest versions of numpy (from
numpy-1.7.0b2-win32-superpack-python2.7.exe) and scipy (from
scipy-0.11.0-win32-superpack-python2.7.exe ) on a windows 7 (32-bit)
platform.
I have used
import numpy as np
q,r = np.linalg.qr(A)
and compared the results obtained from MATLAB (R2010B
On Wed, Nov 14, 2012 at 8:46 PM, Thomas Robitaille <
thomas.robitai...@gmail.com> wrote:
> I've recently opened a couple of pull requests that fix bugs with
> MaskedArray - these are pretty straightforward, so would it be
> possible to consider them in time for 1.7?
>
> https://github.com/numpy/nu
On 19.11.2012 18:42, Dag Sverre Seljebotn wrote:
> Even on CPUs that are not directly supported, this is at least better
> than reference BLAS.
>
> (On our AMD CPUs, which are too new to have a separate OpenBLAS
> implementation, the implementations for older AMD CPUs still outperform
> at least I
On 11/19/2012 06:12 PM, Sturla Molden wrote:
> I think NumPy and SciPy should consider to use OpenBLAS (a fork of
> GotoBLAS2) instead of ATLAS or f2c'd Netlib BLAS for the binary releases.
>
> Here are its virtues:
>
> * Very easy to build: Just a makefile, no configuration script or
> special bui
Hi,
it was mainly developed by one person and he left for Intel. They
relicensed GotoBLAS to BSD 3 clauses and some Chinese people forked it to
OpenBLAS. There was another fork, but I didn't got news of it. Maybe I just
missed the news.
Fred
On Mon, Nov 19, 2012 at 12:20 PM, Daniele Nicolodi w
On 19/11/2012 18:12, Sturla Molden wrote:
> I think NumPy and SciPy should consider to use OpenBLAS (a fork of
> GotoBLAS2) instead of ATLAS or f2c'd Netlib BLAS for the binary releases.
...
> * Funded and developed for use in major Chinese HPC projects. Actively
> maintained. (GotoBLAS2 is aband
I think NumPy and SciPy should consider to use OpenBLAS (a fork of
GotoBLAS2) instead of ATLAS or f2c'd Netlib BLAS for the binary releases.
Here are its virtues:
* Very easy to build: Just a makefile, no configuration script or
special build tools.
* Building ATLAS can be a PITA. So why bothe
On Sat, Nov 17, 2012 at 8:28 AM, Chao YUE wrote:
> Dear all,
>
> I need to make a linear contrast of the 2D numpy array "data" from an
> interval to another, the approach is:
> I have another two list: "base" & "target", then I check for each ndarray
> element "data[i,j]",
> if base[m] =< data[i
