[SciPy-User] convolution using numpy/scipy using MKL libraries

[Alexander Eberspächer]

Dear Sai,

On 27.07.2014 10:28, Sai Rajeshwar wrote:

>    Im trying to implement 3d convolutional networks.. for which I wanted
> to use convolve function from scipy.signal.convolve or fftconvolve.. 

If MKL is not a hard requirement, you may consider using the awesome
pyfftw interfacing the incredible FFTW along with a monkey patched
version of fftconvolve.

On monkey patching using pyfftw, see
http://hgomersall.github.io/pyFFTW/sphinx/tutorial.html#quick-and-easy-the-pyfftw-interfaces-module

This might be a good choice for "large" convolutions. Smaller
convolutions might be better off with a "ordinary" convolution not using
the convolution theorem.

In case you learn about other solutions, please let us know what you've
found.

Regards

Alex