On 05.04.2016 13:24, Antoine Pitrou wrote:
> On Tue, 5 Apr 2016 08:39:39 -0700 (MST)
> mpc wrote:
>> This is the reason I'm doing this in the first place, because I made a pure
>> python version but it runs really slow for larger data sets, so I'm
>> basically rewriting the same function but using
Hello,
is there a way to query Numpy for information about backends (BLAS,
LAPACK, etc.) that it was compiled against, including compiler / linker
flags that were used ?
Consider the use-case where instead of calling a function such as
numpy.dot() I may want to call the appropriate backend directl
On Oct 14, 2014 4:40 AM, "Charles R Harris"
wrote:
>
>
>
> On Mon, Oct 13, 2014 at 12:54 PM, Sebastian Berg <
sebast...@sipsolutions.net> wrote:
>>
>> On Mo, 2014-10-13 at 13:35 +0200, Daniele Nicolodi wrote:
>> > Hello,
>> >
>> > I have a C++ application that collects float, int or complex data i
o small scopes,
as within those scopes the underlying memory is pinned, and no operation
that would involve a relocation of the data (such as OpenCL kernels) may
be called. Not following such rules may result in deadlocks...
I think I like that approach. Explicit is better than implicit. :-)
T
Hi Nathaniel,
thanks for the prompt and thorough answer. You are entirely right, I
hadn't thought things through properly, so let me back up a bit.
I want to provide Python bindings to a C++ library I'm writing, which is
based on vector/matrix/tensor data types. In my naive view I would
expose th
Hello,
I would like to expose an existing (C++) object as a NumPy array to
Python. Right now I'm using PyArray_New, passing the pointer to my
object's storage. It now happens that the storage point of my object may
change over its lifetime, so I'd like to change the pointer that is used
in the PyA
On 02/17/2014 06:56 PM, Nathaniel Smith wrote:
> On Mon, Feb 17, 2014 at 3:55 PM, Stefan Seefeld wrote:
>> On 02/17/2014 03:42 PM, Nathaniel Smith wrote:
>>> Another optimization we should consider that might help a lot in the
>>> same situations where this would hel
On 02/17/2014 03:42 PM, Nathaniel Smith wrote:
> Another optimization we should consider that might help a lot in the
> same situations where this would help: for code called from the
> cpython eval loop, it's afaict possible to determine which inputs are
> temporaries by checking their refcnt. In
On 07/13/2010 04:05 PM, Christopher Barker wrote:
> Robert Kern wrote:
>
>>> I don't believe that there are any such options, but is there a particular
>>> reason why you *don't* want to use such external libs if you have them? I
>>> don't think anyone has considered a use-case where one would
Hello,
the NumPy docs (at http://docs.scipy.org/doc/numpy/user/install.html)
suggest that NumPy doesn't require external linear algebra libraries
(such as ATLAS). How can I compiler NumPy without using them, even if
they are detected ? Are there any undocumented options I can pass to
setup.py
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