Da: cache toeplitz1 (#667)
* Added toeplitz1 cache to fk20 * Added toeplitz1 cache benches * Use toeplitz cache in encoder * Use cache in bench * Clippy happy
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c3375b1c48
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fdc242fa48
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@ -1,6 +1,7 @@
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use divan::counter::BytesCount;
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use divan::Bencher;
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use kzgrs_backend::encoder::{DaEncoder, DaEncoderParams};
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use once_cell::sync::Lazy;
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use rand::RngCore;
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use std::hint::black_box;
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@ -8,8 +9,11 @@ fn main() {
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divan::main()
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}
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const PARAMS: DaEncoderParams = DaEncoderParams::default_with(4096);
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const ENCODER: DaEncoder = DaEncoder::new(PARAMS);
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static ENCODER: Lazy<DaEncoder> = Lazy::new(|| {
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let params = DaEncoderParams::new(4096, true);
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DaEncoder::new(params)
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});
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const KB: usize = 1024;
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pub fn rand_data(elements_count: usize) -> Vec<u8> {
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@ -5,7 +5,7 @@ use std::ops::Div;
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use ark_ff::{BigInteger, PrimeField};
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use ark_poly::EvaluationDomain;
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use kzgrs::common::bytes_to_polynomial_unchecked;
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use kzgrs::fk20::fk20_batch_generate_elements_proofs;
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use kzgrs::fk20::{fk20_batch_generate_elements_proofs, Toeplitz1Cache};
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use kzgrs::{
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bytes_to_polynomial, commit_polynomial, encode, Commitment, Evaluations, KzgRsError,
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Polynomial, PolynomialEvaluationDomain, Proof, BYTES_PER_FIELD_ELEMENT,
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@ -17,16 +17,29 @@ use rayon::iter::{IntoParallelRefIterator, ParallelIterator};
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use crate::common::{hash_column_and_commitment, Chunk, ChunksMatrix, Row};
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use crate::global::GLOBAL_PARAMETERS;
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#[derive(Copy, Clone)]
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#[derive(Clone)]
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pub struct DaEncoderParams {
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column_count: usize,
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toeplitz1cache: Option<Toeplitz1Cache>,
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}
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impl DaEncoderParams {
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pub const MAX_BLS12_381_ENCODING_CHUNK_SIZE: usize = 31;
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pub fn new(column_count: usize, with_cache: bool) -> Self {
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let toeplitz1cache =
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with_cache.then(|| Toeplitz1Cache::with_size(&GLOBAL_PARAMETERS, column_count));
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Self {
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column_count,
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toeplitz1cache,
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}
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}
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pub const fn default_with(column_count: usize) -> Self {
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Self { column_count }
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Self {
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column_count,
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toeplitz1cache: None,
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}
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}
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}
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@ -122,7 +135,10 @@ impl DaEncoder {
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.collect()
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}
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fn compute_rows_proofs(polynomials: &[Polynomial]) -> Result<Vec<Vec<Proof>>, KzgRsError> {
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fn compute_rows_proofs(
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polynomials: &[Polynomial],
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toeplitz1cache: Option<&Toeplitz1Cache>,
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) -> Result<Vec<Vec<Proof>>, KzgRsError> {
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Ok({
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#[cfg(not(feature = "parallel"))]
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{
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@ -133,7 +149,7 @@ impl DaEncoder {
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polynomials.par_iter()
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}
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}
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.map(|poly| fk20_batch_generate_elements_proofs(poly, &GLOBAL_PARAMETERS))
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.map(|poly| fk20_batch_generate_elements_proofs(poly, &GLOBAL_PARAMETERS, toeplitz1cache))
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.collect())
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}
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@ -167,10 +183,14 @@ impl DaEncoder {
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Ok(((evals, poly), commitment))
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}
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fn compute_aggregated_column_proofs(polynomial: &Polynomial) -> Result<Vec<Proof>, KzgRsError> {
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fn compute_aggregated_column_proofs(
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polynomial: &Polynomial,
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toeplitz1cache: Option<&Toeplitz1Cache>,
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) -> Result<Vec<Proof>, KzgRsError> {
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Ok(fk20_batch_generate_elements_proofs(
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polynomial,
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&GLOBAL_PARAMETERS,
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toeplitz1cache,
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))
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}
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@ -189,7 +209,7 @@ impl DaEncoder {
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)
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}
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pub fn encode(&self, data: &[u8]) -> Result<EncodedData, kzgrs::KzgRsError> {
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pub fn encode(&self, data: &[u8]) -> Result<EncodedData, KzgRsError> {
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let chunked_data = self.chunkify(data);
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let row_domain = PolynomialEvaluationDomain::new(self.params.column_count)
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.expect("Domain should be able to build");
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@ -202,7 +222,8 @@ impl DaEncoder {
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let (_, row_polynomials): (Vec<_>, Vec<_>) = row_polynomials.into_iter().unzip();
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let encoded_evaluations = Self::rs_encode_rows(&row_polynomials, row_domain);
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let extended_data = Self::evals_to_chunk_matrix(&encoded_evaluations);
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let rows_proofs = Self::compute_rows_proofs(&row_polynomials)?;
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let rows_proofs =
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Self::compute_rows_proofs(&row_polynomials, self.params.toeplitz1cache.as_ref())?;
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let (_column_polynomials, column_commitments): (Vec<_>, Vec<_>) =
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Self::compute_kzg_column_commitments(&extended_data, column_domain)?
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.into_iter()
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@ -213,8 +234,10 @@ impl DaEncoder {
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&column_commitments,
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row_domain,
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)?;
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let aggregated_column_proofs =
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Self::compute_aggregated_column_proofs(&aggregated_polynomial)?;
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let aggregated_column_proofs = Self::compute_aggregated_column_proofs(
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&aggregated_polynomial,
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self.params.toeplitz1cache.as_ref(),
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)?;
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Ok(EncodedData {
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data: data.to_vec(),
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chunked_data,
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@ -258,7 +281,7 @@ pub mod test {
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let params = DaEncoderParams::default_with(2);
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let elements = 10usize;
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let data = rand_data(elements);
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let encoder = DaEncoder::new(params);
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let encoder = DaEncoder::new(params.clone());
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let matrix = encoder.chunkify(&data);
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assert_eq!(matrix.len(), elements.div(params.column_count.div(2)));
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for row in matrix.rows() {
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@ -343,7 +366,7 @@ pub mod test {
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let (_evals, polynomials): (Vec<_>, Vec<_>) = poly_data.into_iter().unzip();
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let extended_evaluations = DaEncoder::rs_encode_rows(&polynomials, domain);
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let extended_matrix = DaEncoder::evals_to_chunk_matrix(&extended_evaluations);
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let proofs = DaEncoder::compute_rows_proofs(&polynomials).unwrap();
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let proofs = DaEncoder::compute_rows_proofs(&polynomials, None).unwrap();
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let checks = izip!(matrix.iter(), &commitments, &proofs);
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for (row, commitment, proofs) in checks {
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@ -412,7 +435,7 @@ pub mod test {
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.unzip();
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let ((_evals, polynomial), _aggregated_commitment) =
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DaEncoder::compute_aggregated_column_commitment(&matrix, &commitments, domain).unwrap();
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DaEncoder::compute_aggregated_column_proofs(&polynomial).unwrap();
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DaEncoder::compute_aggregated_column_proofs(&polynomial, None).unwrap();
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}
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#[test]
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@ -6,7 +6,7 @@ use ark_poly::{EvaluationDomain, GeneralEvaluationDomain};
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use ark_poly_commit::kzg10::KZG10;
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use divan::counter::ItemsCount;
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use divan::Bencher;
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use kzgrs::fk20::fk20_batch_generate_elements_proofs;
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use kzgrs::fk20::{fk20_batch_generate_elements_proofs, Toeplitz1Cache};
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use kzgrs::{bytes_to_polynomial, GlobalParameters, BYTES_PER_FIELD_ELEMENT};
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use once_cell::sync::Lazy;
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use rand::SeedableRng;
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@ -23,7 +23,7 @@ static GLOBAL_PARAMETERS: Lazy<GlobalParameters> = Lazy::new(|| {
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KZG10::<Bls12_381, DensePolynomial<Fr>>::setup(4096, true, &mut rng).unwrap()
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});
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#[divan::bench(args = [16, 32, 64, 128, 256, 512, 1024, 2048, 4096])]
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#[divan::bench(args = [16, 32, 64, 128, 256, 512, 1024, 2048, 4096], sample_count = 10, sample_size = 10)]
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fn compute_fk20_proofs_for_size(bencher: Bencher, size: usize) {
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bencher
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.with_inputs(|| {
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@ -40,12 +40,13 @@ fn compute_fk20_proofs_for_size(bencher: Bencher, size: usize) {
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black_box(fk20_batch_generate_elements_proofs(
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poly,
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&GLOBAL_PARAMETERS,
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None,
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))
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});
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}
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#[cfg(feature = "parallel")]
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#[divan::bench(args = [16, 32, 64, 128, 256, 512, 1024, 2048, 4096])]
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#[divan::bench(args = [16, 32, 64, 128, 256, 512, 1024, 2048, 4096], sample_count = 10, sample_size = 10)]
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fn compute_parallel_fk20_proofs_for_size(bencher: Bencher, size: usize) {
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let thread_count: usize = rayon::max_num_threads().min(rayon::current_num_threads());
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bencher
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@ -59,9 +60,55 @@ fn compute_parallel_fk20_proofs_for_size(bencher: Bencher, size: usize) {
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poly
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})
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.input_counter(move |_| ItemsCount::new(size * thread_count))
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.bench_refs(|(poly)| {
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.bench_refs(|poly| {
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black_box((0..thread_count).into_par_iter().for_each(|_| {
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fk20_batch_generate_elements_proofs(poly, &GLOBAL_PARAMETERS);
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fk20_batch_generate_elements_proofs(poly, &GLOBAL_PARAMETERS, None);
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}))
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});
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}
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#[divan::bench(args = [16, 32, 64, 128, 256, 512, 1024, 2048, 4096], sample_count = 10, sample_size = 10)]
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fn compute_fk20_proofs_for_size_with_cache(bencher: Bencher, size: usize) {
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bencher
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.with_inputs(|| {
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let buff: Vec<_> = (0..BYTES_PER_FIELD_ELEMENT * size)
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.map(|i| (i % 255) as u8)
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.rev()
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.collect();
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let domain = GeneralEvaluationDomain::new(size).unwrap();
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let (_, poly) = bytes_to_polynomial::<BYTES_PER_FIELD_ELEMENT>(&buff, domain).unwrap();
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let cache = Toeplitz1Cache::with_size(&GLOBAL_PARAMETERS, size);
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(poly, cache)
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})
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.input_counter(move |_| ItemsCount::new(size))
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.bench_refs(|(poly, cache)| {
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black_box(fk20_batch_generate_elements_proofs(
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&poly,
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&GLOBAL_PARAMETERS,
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Some(cache),
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))
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});
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}
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#[cfg(feature = "parallel")]
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#[divan::bench(args = [16, 32, 64, 128, 256, 512, 1024, 2048, 4096], sample_count = 10, sample_size = 10)]
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fn compute_parallel_fk20_proofs_for_size_with_cache(bencher: Bencher, size: usize) {
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let thread_count: usize = rayon::max_num_threads().min(rayon::current_num_threads());
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bencher
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.with_inputs(|| {
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let buff: Vec<_> = (0..BYTES_PER_FIELD_ELEMENT * size)
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.map(|i| (i % 255) as u8)
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.rev()
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.collect();
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let domain = GeneralEvaluationDomain::new(size).unwrap();
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let (_, poly) = bytes_to_polynomial::<BYTES_PER_FIELD_ELEMENT>(&buff, domain).unwrap();
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let cache = Toeplitz1Cache::with_size(&GLOBAL_PARAMETERS, size);
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(poly, cache)
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})
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.input_counter(move |_| ItemsCount::new(size * thread_count))
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.bench_refs(|(poly, cache)| {
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black_box((0..thread_count).into_par_iter().for_each(|_| {
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fk20_batch_generate_elements_proofs(&poly, &GLOBAL_PARAMETERS, Some(cache));
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}))
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});
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}
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@ -4,6 +4,7 @@ use ark_ec::CurveGroup;
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use ark_ff::Field;
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use ark_poly::{EvaluationDomain, GeneralEvaluationDomain};
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use num_traits::Zero;
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use std::borrow::Cow;
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fn toeplitz1(global_parameters: &[G1Affine], polynomial_degree: usize) -> Vec<G1Projective> {
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debug_assert_eq!(global_parameters.len(), polynomial_degree);
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@ -41,12 +42,17 @@ fn toeplitz3(h_extended_fft: &[G1Projective]) -> Vec<G1Projective> {
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pub fn fk20_batch_generate_elements_proofs(
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polynomial: &Polynomial,
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global_parameters: &GlobalParameters,
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toeplitz1_cache: Option<&Toeplitz1Cache>,
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) -> Vec<Proof> {
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let polynomial_degree = polynomial.len();
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debug_assert!(polynomial_degree <= global_parameters.powers_of_g.len());
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debug_assert!(polynomial_degree.is_power_of_two());
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let domain: GeneralEvaluationDomain<Fr> =
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GeneralEvaluationDomain::new(polynomial_degree).expect("Domain should be able to build");
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let extended_vector = if let Some(Toeplitz1Cache(v)) = toeplitz1_cache {
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Cow::Borrowed(v)
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} else {
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let global_parameters: Vec<G1Affine> = global_parameters
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.powers_of_g
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.iter()
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@ -54,8 +60,8 @@ pub fn fk20_batch_generate_elements_proofs(
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.take(polynomial_degree)
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.rev()
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.collect();
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let extended_vector = toeplitz1(&global_parameters, polynomial_degree);
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Cow::Owned(toeplitz1(&global_parameters, polynomial_degree))
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};
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let toeplitz_coefficients: Vec<Fr> = std::iter::repeat(Fr::ZERO)
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.take(polynomial_degree)
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.chain(polynomial.coeffs.iter().copied())
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.collect()
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}
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#[derive(Clone)]
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pub struct Toeplitz1Cache(Vec<G1Projective>);
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impl Toeplitz1Cache {
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pub fn with_size(global_parameters: &GlobalParameters, polynomial_degree: usize) -> Self {
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let global_parameters: Vec<G1Affine> = global_parameters
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.powers_of_g
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.iter()
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.copied()
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.take(polynomial_degree)
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.rev()
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.collect();
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Self(toeplitz1(&global_parameters, polynomial_degree))
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}
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}
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#[cfg(test)]
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mod test {
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use crate::fk20::fk20_batch_generate_elements_proofs;
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@ -107,7 +129,7 @@ mod test {
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generate_element_proof(i, &poly, &evals, &GLOBAL_PARAMETERS, domain).unwrap()
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})
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.collect();
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let fk20_proofs = fk20_batch_generate_elements_proofs(&poly, &GLOBAL_PARAMETERS);
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let fk20_proofs = fk20_batch_generate_elements_proofs(&poly, &GLOBAL_PARAMETERS, None);
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assert_eq!(slow_proofs, fk20_proofs);
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}
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}
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