Circumventing cblas_sgemv segfault in Accelerate

http://article.gmane.org/gmane.comp.python.scientific.devel/19141
https://github.com/numpy/numpy/issues/4007

then we better live with the shadowed sgemv_ instead of aborting, an extra copy is better than not being able to start numpy