Hi,
On Sat, Feb 22, 2014 at 4:09 PM, Pauli Virtanen wrote:
> 23.02.2014 00:03, Nathaniel Smith kirjoitti:
>> Currently numpy's 'dot' acts a bit weird for ndim>2 or ndim<1. In
>> practice this doesn't usually matter much, because these are very
>> rarely used. But, I would like to nail down the be
23.02.2014 00:03, Nathaniel Smith kirjoitti:
> Currently numpy's 'dot' acts a bit weird for ndim>2 or ndim<1. In
> practice this doesn't usually matter much, because these are very
> rarely used. But, I would like to nail down the behaviour so we can
> say something precise in the matrix multiplica
It would help me follow this discussion if it were broken up
into pieces:
- what is being asserted as first principles for `dot`
(e.g., what mathematical understanding)?
- to what extent do other important implementations
(e.g., Mathematica and Julia) deviate from the
proposed mathematica
On 22/02/14 23:39, Sturla Molden wrote:
Ok, next runner up is Accelerate. Let's see how it compares to OpenBLAS
and MKL on Mavericks.
It seems Accelerate has roughly the same performance as MKL now.
Did the upgrade to Mavericks do this?
These are the compile lines, in case you wonder:
$ C
On Sat, Feb 22, 2014 at 5:17 PM, Matthew Brett wrote:
> Hi,
>
> On Sat, Feb 22, 2014 at 2:03 PM, Nathaniel Smith wrote:
>> Hi all,
>>
>> Currently numpy's 'dot' acts a bit weird for ndim>2 or ndim<1. In
>> practice this doesn't usually matter much, because these are very
>> rarely used. But, I wo
On 22/02/14 22:15, Nathaniel Smith wrote:
$ make TARGET=SANDYBRIDGE USE_OPENMP=0 BINARY=64 NOFORTRAN=1
You'll definitely want to disable the affinity support too, and
probably memory warmup. And possibly increase the maximum thread
count, unless you'll only use the library on the computer it w
On Sat, Feb 22, 2014 at 5:17 PM, Matthew Brett wrote:
> The discussion might become confusing in the conflation of:
>
> * backward incompatible changes to dot
> * coherent behavior to propose in a PEP
Right, I definitely am asking about how we think the "ideal" dot
operator should work. The migra
On Feb 22, 2014 2:03 PM, "Nathaniel Smith" wrote:
>
> Hi all,
>
> Currently numpy's 'dot' acts a bit weird for ndim>2 or ndim<1. In
> practice this doesn't usually matter much, because these are very
> rarely used. But, I would like to nail down the behaviour so we can
> say something precise in t
Hi,
On Sat, Feb 22, 2014 at 2:03 PM, Nathaniel Smith wrote:
> Hi all,
>
> Currently numpy's 'dot' acts a bit weird for ndim>2 or ndim<1. In
> practice this doesn't usually matter much, because these are very
> rarely used. But, I would like to nail down the behaviour so we can
> say something pre
Hi all,
Currently numpy's 'dot' acts a bit weird for ndim>2 or ndim<1. In
practice this doesn't usually matter much, because these are very
rarely used. But, I would like to nail down the behaviour so we can
say something precise in the matrix multiplication PEP. So here's one
proposal.
# CURRENT
[Apologies for wide distribution -- please direct followups to either
the github PR linked below, or else numpy-discussion@scipy.org]
After the numpy-discussion thread about np.matrix a week or so back, I
got curious and read the old PEPs that attempted to add better
matrix/elementwise operators t
On Sat, Feb 22, 2014 at 3:55 PM, Sturla Molden wrote:
> On 20/02/14 17:57, Jurgen Van Gael wrote:
>> Hi All,
>>
>> I run Mac OS X 10.9.1 and was trying to get OpenBLAS working for numpy.
>> I've downloaded the OpenBLAS source and compiled it (thanks to Olivier
>> Grisel).
>
> How?
>
> $ make TARGE
On 22/02/14 22:00, Robert Kern wrote:
> If you actually want some help, you will have to provide a *little* more
> detail.
$ git clone https://github.com/xianyi/OpenBLAS
Oops...
$ cd OpenBLAS
did the trick. I need some coffee :)
Sturla
___
N
On Sat, Feb 22, 2014 at 8:55 PM, Sturla Molden wrote:
> On 20/02/14 17:57, Jurgen Van Gael wrote:
>> Hi All,
>>
>> I run Mac OS X 10.9.1 and was trying to get OpenBLAS working for numpy.
>> I've downloaded the OpenBLAS source and compiled it (thanks to Olivier
>> Grisel).
>
> How?
>
> $ make TARGE
On 20/02/14 17:57, Jurgen Van Gael wrote:
> Hi All,
>
> I run Mac OS X 10.9.1 and was trying to get OpenBLAS working for numpy.
> I've downloaded the OpenBLAS source and compiled it (thanks to Olivier
> Grisel).
How?
$ make TARGET=SANDYBRIDGE USE_OPENMP=0 BINARY=64 NOFORTRAN=1
make: *** No target
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