s, are you sure you currently do?
Matthieu
2009/10/15 Kashyap Ashwin :
> I followed the advice given by the Intel MKL link adviser
>
(http://software.intel.com/en-us/articles/intel-mkl-link-line-advisor/)
>
> This is my new site.cfg:
> mkl_libs = mkl_intel_ilp64, mkl_gnu_thread, mkl
ur message:
On Thu, Oct 15, 2009 at 8:04 AM, Kashyap Ashwin
wrote:
> Hello,
> I compiled numpy-1.3.0 from sources on Ubuntu-hardy, x86-64 (Intel)
with
> MKL.
> This is my site.cfg:
> [mkl]
> # library_dirs = /opt/intel/mkl/10.0.1.014/lib/32/
> library_dirs = /opt/intel/mkl/10.2
Hello,
I compiled numpy-1.3.0 from sources on Ubuntu-hardy, x86-64 (Intel) with
MKL.
This is my site.cfg:
[mkl]
# library_dirs = /opt/intel/mkl/10.0.1.014/lib/32/
library_dirs = /opt/intel/mkl/10.2.2.025/lib/em64t
include_dirs = /opt/intel/mkl/10.2.2.025/include
lapack_libs = mkl_lapack
#mkl_libs =
Also, what about PyArray_PutMask()
That function also has a line like "int i, chunk, ni, max_item, nv,
tmp;"
Should that be changed as well?
(Your patch does not fix my original issue.)
BTW, in numpy 1.3, that is present in numpy/core/src/multiarraymodule.c.
Can someone please give me a te
Yes, it happens for the trunk as well.
> > import numpy as np
> >
> > a=np.zeros((2*1024*1024*1024 + 1), dtype="uint8")
> >
> > a[:]=1
> > # returns immediately
> >
> > a.mean()
> >
> > 0.0
> > print a
> >
> > [0 0 0 ..., 0 0 0]
> > The bug only happens when the nElements > 2G (2^31). So for
Hello,
I have downloaded numpy 1.3rc2 sources and compiled it on Ubuntu Hardy
Linux x86_64. numpy.test() seems to run ok as well.
Here is the bug I can reproduce
import numpy as np
a=np.zeros((2*1024*1024*1024 + 1), dtype="uint8")
a[:]=1
# returns immediately
a.mean()
0.0
p
