Re: [Numpy-discussion] numpy blas running slow: how to check that it is properly linked

On 06.09.2011, at 22:13, David Cottrell wrote:

Thanks, I didn't realize dot was not just calling dgemm or some variant which I assume would be reasonably fast. I see dgemm appears in the numpy code in various places such as the lapack_lite module.

I ran the svd test on the solaris setup and will check the OSX run when back at my laptop. 8.4 seconds is slightly slower than matlab but still seems reasonable.

$ ./test_03.py No ATLAS: (1000, 1000) (1000,) (1000, 1000) 8.17235898972

I just ran your benchmark code on OSX 10.7.1 on an 2011 MacBook Pro (core-i7) with numpy.version.version '2.0.0.dev-900d82e': Using ATLAS: ((1000, 1000), (1000,), (1000, 1000)) 0.908223152161 cheers, Samuel