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