AMD acml libraries do not include the CBLAS implementation. To build CBLAS
against the libacml.lib requires the Intel Fortran compiler. There is a note in
the mailing list here
http://mail.scipy.org/pipermail/numpy-discussion/2006-February/018379.html
This detail should probably be added to
I am so dumb. It is not using the static libs at all. It is building numpy with
lapack_lite and blas_lite.
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Both the /MT and /MD versions of the acml static libraries build, and pass all
tests, except that for me at least there's a weird glitch in the build process.
I have to purposefully add something so that config fails.
EG: In the previous site.cfg, I did not realize that I had mistyped the vector
On 23.10.2014 19:21, Dave Hirschfeld wrote:
> Hi,
> I accidentally passed a pandas DatetimeIndex to `np.arange` which caused
> it to segfault. It's a pretty dumb thing to do but I don't think it
> should cause a segfault!
thanks for the report, this patch should fix it:
https://github.com/nump
Hi,
I accidentally passed a pandas DatetimeIndex to `np.arange` which caused
it to segfault. It's a pretty dumb thing to do but I don't think it
should cause a segfault!
Python 2.7.5 |Continuum Analytics, Inc.| (default, Jul 1 2013,
12:37:52)
[MSC v.1500 64 bit (AMD64)] on win32
Type "help",
