Right, but if I link to libcblas, cblas would be available, no?
On Thu, Dec 6, 2012 at 10:34 AM, David Cournapeau <[email protected]>wrote: > On Thu, Dec 6, 2012 at 7:13 PM, Bradley M. Froehle > <[email protected]> wrote: > > Thanks Alexander, that was quite helpful, but unfortunately does not > > actually work. The recommendations there are akin to a site.cfg file: > > > > [atlas] > > atlas_libs = > > library_dirs = > > > > [blas] > > blas_libs = cblas,acml > > library_dirs = /opt/acml5.2.0/gfortan64_fma4/lib > > > > [lapack] > > blas_libs = cblas,acml > > library_dirs = /opt/acml5.2.0/gfortan64_fma4/lib > > $ python setup.py build > > > > However this makes numpy think that there is no optimized blas available > and > > prevents the numpy.core._dotblas module from being built. > > _dotblas is only built if *C*blas is available (atlas, accelerate and > mkl only are supported ATM). > > David > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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