Hi,
Usually, Theano tries to link directly with a BLAS library (MKL,
OpenBlas...) if it is able to detect one, and use it for dot products on
CPU.
If it does not, it uses the fallback of using the C API of numpy
instead, which can be slower and result in more memory copies.
On 2017-11-23 05:00 AM, Mathias Müller wrote:
Hi,
With the newest Theano, I get the following warning:
|
WARNING (theano.tensor.blas):UsingNumPyC-API based implementation
forBLAS functions.
|
What does this message mean? Does that mean there is an alternative to
Numpy C-API based BLAS functions?
Thanks a lot for your help.
Mathias
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