On Jul 13, 2015 1:44 AM, Eric Martin e...@ericmart.in wrote:
My procedure questions:
Is the installation procedure I outlined above reasonable, or does it
contain steps that could/should be removed? Having to edit Numpy source
seems sketchy to me. I largely came up with this procedure by
On Mon, Jul 13, 2015 at 11:08 AM Nathaniel Smith n...@pobox.com wrote:
I think that if you can make this work then it would be great (who doesn't
like less code that does more?), but that as a practical matter
accomplishing this may be difficult. AFAIK there simply is no way to write
generic
On Mon, Jul 13, 2015 at 8:40 AM, Eric Martin e...@ericmart.in wrote:
[...]
*My questions about this:*
CBLAS questions:
What does CBLAS do, and why/when is it necessary? For both ACML 6 and
Eigen, I could not link directly to the library but could with CBLAS. My
understanding is that the
Nathaniel and Ian both mention adding code to Numpy to explicitly support
Eigen.
It seems to me that a potentially better route than add code to Numpy to
support BLAS library for each library is to make Numpy easy to configure
to compile with an arbitrary BLAS library (like what I've been doing).
On Jul 13, 2015 11:48 AM, Eric Martin e...@ericmart.in wrote:
Nathaniel and Ian both mention adding code to Numpy to explicitly support
Eigen.
It seems to me that a potentially better route than add code to Numpy to
support BLAS library for each library is to make Numpy easy to configure
to
On Mon, Jul 13, 2015 at 7:55 AM Nathaniel Smith n...@pobox.com wrote:
On Jul 13, 2015 1:44 AM, Eric Martin e...@ericmart.in wrote:
My procedure questions:
Is the installation procedure I outlined above reasonable, or does it
contain steps that could/should be removed? Having to edit Numpy
13.07.2015, 20:08, Nathaniel Smith kirjoitti:
[clip]
Keep in mind that any solution needs to support weird systems too,
including Windows. I'm not sure we can assume that all BLAS libraries are
ABI compatible either. Debian/Ubuntu make sure that this is true for the
ones they ship, but not all
13.07.2015, 19:44, Eric Martin kirjoitti:
It seems to me that a potentially better route than add code to Numpy to
support BLAS library for each library is to make Numpy easy to configure
to compile with an arbitrary BLAS library (like what I've been doing).
Does this work:
export ATLAS=None
Hi,
I've been playing around recently with linking Numpy to different BLAS
implementations, particularly Eigen and ACML 6 (with openCL support!). I've
successfully linked Numpy to both of these libraries, but I found the
process overly difficult and confusing. I'm interested in either writing a
