Is convolution in DL not implemented with the FFT as the underlying workhorse?
Re:Why train when you can optimize?
by PartiallyTyped on Saturday April 30, 2022 @09:41AM
(#31216013)
Probably no since FFT is slower and less parallelizable than products.
[1] https://geometricdeeplearning.com
[2] https://arxiv.org/pdf/2104.13478.pdf page 27 (23 if you count book pages).