On Saturday 28 January 2006 19:36, George Nurser wrote:
>  I'm sure this is well known, but I just realized that numpy cannot
>  use the _dotblas.so that it makes when it is compiled with ACML.
>  This is because ACML only has the fortran blas libraries, not cblas.
> 
>  numpy will find the acml libraries and use them to make a _dotblas.so
>  without complaining, if you have
> 
>  [blas]
>  blas_libs = acml
>  language = f77
>    in your site.cfg.
> 
>  But attempting to import this _dotblas.so gives errors .... so numpy
>  never actually uses it.
> 
>   >>> import _dotblas.so
> 
>  Traceback (most recent call last):
>     File "<stdin>", line 1, in ?
>  ImportError: ./_dotblas.so: undefined symbol: cblas_zaxpy
> 
>  nm _dotblas.so gives a whole stream of undefined cblas_xxxx symbols.
> 
>  So what are the options? Forget about ACML? Find an optimized cblas
>  for numpy _dotblas but use the ACML flapack for scipy? Persuade
>  somebody to write a scipy-style ?f2py interface to generate
>  _dotblas.so using the fblas?
> 
>  George Nurser.


There is code for that on netlib:
http://www.netlib.org/blas/blast-forum/cblas.tgz

I used it myself for my C code before and it worked just fine.

Piotr


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