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@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-p...
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 _______________________________________________ SciPy-User mailing list SciPy-User@scipy.org http://mail.scipy.org/mailman/listinfo/scipy-user