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https://github.com/arnaucube/poulpy.git
synced 2026-02-10 13:16:44 +01:00
finalized raw gadget product test with noise equations
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@@ -67,7 +67,7 @@ pub fn gadget_product_core<const OVERWRITE: bool, T>(
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Elem<T>: ElemVecZnx<T>,
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Elem<T>: ElemVecZnx<T>,
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{
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{
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assert!(b_cols <= b.cols());
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assert!(b_cols <= b.cols());
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module.vec_znx_dft(res_dft_1, a, a_cols);
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module.vec_znx_dft(res_dft_1, a, min(a_cols, b_cols));
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module.vmp_apply_dft_to_dft(res_dft_0, res_dft_1, b.at(0), tmp_bytes);
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module.vmp_apply_dft_to_dft(res_dft_0, res_dft_1, b.at(0), tmp_bytes);
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module.vmp_apply_dft_to_dft_inplace(res_dft_1, b.at(1), tmp_bytes);
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module.vmp_apply_dft_to_dft_inplace(res_dft_1, b.at(1), tmp_bytes);
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}
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}
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@@ -108,6 +108,7 @@ mod test {
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VecZnxDftOps, VecZnxOps, VmpPMat,
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VecZnxDftOps, VecZnxOps, VmpPMat,
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};
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};
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use sampling::source::{Source, new_seed};
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use sampling::source::{Source, new_seed};
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use std::cmp::min;
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#[test]
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#[test]
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fn test_gadget_product_core() {
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fn test_gadget_product_core() {
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@@ -220,11 +221,12 @@ mod test {
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// Iterates over all possible cols values for input/output polynomials and gadget ciphertext.
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// Iterates over all possible cols values for input/output polynomials and gadget ciphertext.
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(1..a.cols() + 1).for_each(|a_cols| {
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(1..gadget_ct.cols() + 1).for_each(|b_cols| {
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pt.elem_mut().zero();
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pt.elem_mut().zero();
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elem_res.zero();
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elem_res.zero();
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let a_cols: usize = a.cols() - 1;
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//let b_cols: usize = min(a_cols+1, gadget_ct.cols());
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let b_cols: usize = gadget_ct.cols();
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println!("a_cols: {} b_cols: {}", a_cols, b_cols);
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println!("a_cols: {} b_cols: {}", a_cols, b_cols);
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@@ -281,9 +283,9 @@ mod test {
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.vec_znx_sub_inplace(pt.at_mut(0), &mut a_times_s);
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.vec_znx_sub_inplace(pt.at_mut(0), &mut a_times_s);
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pt.at_mut(0).normalize(log_base2k, &mut tmp_bytes);
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pt.at_mut(0).normalize(log_base2k, &mut tmp_bytes);
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pt.at(0).print(pt.elem().cols(), 16);
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//pt.at(0).print(pt.elem().cols(), 16);
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println!("noise_have: {}", pt.at(0).std(log_base2k).log2());
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let noise_have: f64 = pt.at(0).std(log_base2k).log2();
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let var_a_err: f64;
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let var_a_err: f64;
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@@ -296,10 +298,16 @@ mod test {
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let a_logq: usize = a_cols * log_base2k;
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let a_logq: usize = a_cols * log_base2k;
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let b_logq: usize = b_cols * log_base2k;
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let b_logq: usize = b_cols * log_base2k;
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let var_msg: f64 = params.xs() as f64;
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let var_msg: f64 = params.xs() as f64;
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println!(
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"noise_pred: {}",
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let noise_pred: f64 =
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params.noise_grlwe_product(var_msg, var_a_err, a_logq, b_logq)
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params.noise_grlwe_product(var_msg, var_a_err, a_logq, b_logq);
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);
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assert!(noise_have <= noise_pred + 1.0);
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println!("noise_pred: {}", noise_have);
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println!("noise_have: {}", noise_pred);
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});
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});
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}
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}
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}
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}
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@@ -350,15 +358,14 @@ pub fn noise_grlwe_product(
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a_logq: usize,
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a_logq: usize,
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b_logq: usize,
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b_logq: usize,
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) -> f64 {
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) -> f64 {
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let a_logq: usize = min(a_logq, b_logq);
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let a_cols: usize = (a_logq + log_base2k - 1) / log_base2k;
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let a_cols: usize = (a_logq + log_base2k - 1) / log_base2k;
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let b_cols: usize = (b_logq + log_base2k - 1) / log_base2k;
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let b_scale = 2.0f64.powi(b_logq as i32);
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let b_scale = 2.0f64.powi(b_logq as i32);
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let a_scale: f64 = 2.0f64.powi((b_logq - a_logq) as i32);
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let a_scale: f64 = 2.0f64.powi((b_logq - a_logq) as i32);
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let base: f64 = (1 << (log_base2k)) as f64;
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let base: f64 = (1 << (log_base2k)) as f64;
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let var_base: f64 = base * base / 12f64;
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let var_base: f64 = base * base / 12f64;
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let var_round: f64 = 1f64 / 12f64;
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// lhs = a_cols * n * (var_base * var_gct_err_lhs + var_e_a * var_msg * p^2)
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// lhs = a_cols * n * (var_base * var_gct_err_lhs + var_e_a * var_msg * p^2)
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// rhs = a_cols * n * var_base * var_gct_err_rhs * var_xs
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// rhs = a_cols * n * var_base * var_gct_err_rhs * var_xs
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@@ -367,5 +374,5 @@ pub fn noise_grlwe_product(
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noise += var_msg * var_a_err * a_scale * a_scale;
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noise += var_msg * var_a_err * a_scale * a_scale;
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noise = noise.sqrt();
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noise = noise.sqrt();
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noise /= b_scale;
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noise /= b_scale;
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noise.log2()
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noise.log2().min(-1.0) // max noise is [-2^{-1}, 2^{-1}]
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}
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}
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