A module for performing repeated convolutions involving high-level Python objects ... a given kind of convolution: a first call to the module will pre-compute the convolution with symbols (rather than ...

A Python module to generate fast bilinear algorithms for different variants of convolution. We provide a simple function to generate Toom-Cook algorithms with either integer nodes (cheby=False) or ...

One of the standard approaches to fast convolution computation is to use GeMM-based convolution algorithms relying on efficient general matrix multiplication (GeMM) from optimized BLAS libraries.

Abstract: The convolution operation is a data-intensive algorithm that requires a lot of computing power. As convolutional neural networks become more complex, there are limitations to algorithmically ...