Support for bivariate convolution & normalization with offset (#126)

* Add bivariate-convolution
* Add pair-wise convolution + tests + benches
* Add take_cnv_pvec_[left/right] to Scratch & updated CHANGELOG.md
* cross-base2k normalization with positive offset
* clippy & fix CI doctest avx compile error
* more streamlined bounds derivation for normalization
* Working cross-base2k normalization with pos/neg offset
* Update normalization API & tests
* Add glwe tensoring test
* Add relinearization + preliminary test
* Fix GGLWEToGGSW key infos
* Add (X,Y) convolution by const (1, Y) poly
* Faster normalization test + add bench for cnv_by_const
* Update changelog
This commit is contained in:
Jean-Philippe Bossuat
2025-12-21 16:56:42 +01:00
committed by GitHub
parent 76424d0ab5
commit 4e90e08a71
219 changed files with 6571 additions and 5041 deletions

View File

@@ -11,10 +11,7 @@ pub fn bench_fft_ref(c: &mut Criterion) {
fn runner(m: usize) -> impl FnMut() {
let mut values: Vec<f64> = vec![0f64; m << 1];
let scale: f64 = 1.0f64 / (2 * m) as f64;
values
.iter_mut()
.enumerate()
.for_each(|(i, x)| *x = (i + 1) as f64 * scale);
values.iter_mut().enumerate().for_each(|(i, x)| *x = (i + 1) as f64 * scale);
let table: ReimFFTTable<f64> = ReimFFTTable::<f64>::new(m);
move || {
ReimFFTRef::reim_dft_execute(&table, &mut values);
@@ -39,10 +36,7 @@ pub fn bench_ifft_ref(c: &mut Criterion) {
fn runner(m: usize) -> impl FnMut() {
let mut values: Vec<f64> = vec![0f64; m << 1];
let scale: f64 = 1.0f64 / (2 * m) as f64;
values
.iter_mut()
.enumerate()
.for_each(|(i, x)| *x = (i + 1) as f64 * scale);
values.iter_mut().enumerate().for_each(|(i, x)| *x = (i + 1) as f64 * scale);
let table: ReimIFFTTable<f64> = ReimIFFTTable::<f64>::new(m);
move || {
ReimIFFTRef::reim_dft_execute(&table, &mut values);