Open jaggiK opened 1 year ago
hi,
convolve
does not support "valid" convolution out of the box, but it should be easy to define it yourself:
import numpy as np
from gputools.convolve import convolve
def convolve_valid(x,h, **kwargs):
y = convolve(x, h, **kwargs)
# extract valid region
valid_slices = tuple(slice(s//2, -(s-s//2) if s>1 else None) for s in h.shape)
return y[valid_slices]
x = np.random.rand(128,128)
h = np.random.rand(3,11)
res = convolve_validx,h)
Hope that helps!
Hi,
Thanks for building this great package.
Convolve seems to produce same output size as input size commonly referred as "same" convolution. Is there a way to perform convolution "valid" convolution where output size is shrinked?