https://github.com/xianyi/OpenBLAS/issues/304
On 09.10.2013 17:24, Julian Taylor wrote:
> yes thats probably openblas fault.
> Openblas crashes all the time as soon as your matrices get bigger than a
> couple of megabytes.
> I'll investigate and report it upstream (as I have already far too often
yes thats probably openblas fault.
Openblas crashes all the time as soon as your matrices get bigger than a
couple of megabytes.
I'll investigate and report it upstream (as I have already far too often
for the exact same reason ...)
On Wed, Oct 9, 2013 at 5:05 PM, Charanpal Dhanjal wrote:
> Oops
Oops, the second line should have been
export OPENBLAS_NUM_THREADS=8
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> >/ I get a segmentation fault upon running the following:
> />/
> />/ import numpy
> />/ A = numpy.ones((700, 8))
> />/ Q, R = numpy.linalg.qr(A)
> />/
> />/ on Python 2.7.3, Linux 64-bit using numpy 1.9.0.dev-ec3603f linked
> />/ against OpenBLAS. If A is a smaller matrix then the QR decompo
On Wed, Oct 9, 2013 at 8:04 AM, Charanpal Dhanjal wrote:
> I get a segmentation fault upon running the following:
>
> import numpy
> A = numpy.ones((700, 8))
> Q, R = numpy.linalg.qr(A)
>
> on Python 2.7.3, Linux 64-bit using numpy 1.9.0.dev-ec3603f linked
> against OpenBLAS. If A is a smaller
I get a segmentation fault upon running the following:
import numpy
A = numpy.ones((700, 8))
Q, R = numpy.linalg.qr(A)
on Python 2.7.3, Linux 64-bit using numpy 1.9.0.dev-ec3603f linked
against OpenBLAS. If A is a smaller matrix then the QR decomposition
works (for example A has shape (40
