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

[Sai Rajeshwar]

hi alex,

i didnot get..exactly how to perform convolution with pyFFT... the link
introduces fft..  but not about convolution... any pointers about how to
perform 3d convolution would be great..
thanks

*with regards..*

*M. Sai Rajeswar*
*M-tech  Computer Technology*


*IIT Delhi----------------------------------Cogito Ergo Sum---------*


On Sun, Jul 27, 2014 at 5:27 PM, Alexander Eberspächer <
alex.eberspaecher at gmail.com> wrote:

> 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
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