shockwave-plus/tensor_pcs/benches/prove.rs
tensor_pcs/benches/prove.rsRaw
1use criterion::{black_box, criterion_group, criterion_main, Criterion};
2use tensor_pcs::{
3 rs_config, FieldExt, SparseMLPoly, TensorMultilinearPCS, TensorRSMultilinearPCSConfig,
4 Transcript,
5};
6
7fn poly<F: FieldExt>(num_vars: usize) -> SparseMLPoly<F> {
8 let num_entries: usize = 2usize.pow(num_vars as u32);
9
10 let evals = (0..num_entries)
11 .map(|i| (i, F::from(i as u64)))
12 .collect::<Vec<(usize, F)>>();
13
14 let ml_poly = SparseMLPoly::new(evals, num_vars);
15 ml_poly
16}
17
18fn config_base<F: FieldExt>() -> TensorRSMultilinearPCSConfig<F> {
19 let expansion_factor = 2;
20
21 TensorRSMultilinearPCSConfig::<F> {
22 expansion_factor,
23 domain_powers: None,
24 fft_domain: None,
25 ecfft_config: None,
26 l: 10,
27 }
28}
29
30fn pcs_fft_bench(c: &mut Criterion) {
31 type F = halo2curves::pasta::Fp;
32
33 let num_vars = 13;
34 let ml_poly = poly(num_vars);
35 let open_at = (0..ml_poly.num_vars)
36 .map(|i| F::from(i as u64))
37 .collect::<Vec<F>>();
38
39 let mut config = config_base();
40 config.fft_domain = Some(rs_config::smooth::gen_config::<F>(
41 config.num_cols(ml_poly.evals.len()),
42 ));
43
44 let mut group = c.benchmark_group("pcs fft");
45 group.bench_function("prove", |b| {
46 b.iter(|| {
47 let pcs = TensorMultilinearPCS::<F>::new(config.clone());
48
49 let mut transcript = Transcript::new(b"bench");
50 let comm = pcs.commit(&black_box(ml_poly.clone()));
51 pcs.open(&comm, &ml_poly, &open_at, &mut transcript);
52 })
53 });
54}
55
56fn pcs_ecfft_bench(c: &mut Criterion) {
57 type F = halo2curves::secp256k1::Fp;
58
59 let num_vars = 13;
60 let ml_poly = poly(num_vars);
61 let open_at = (0..ml_poly.num_vars)
62 .map(|i| F::from(i as u64))
63 .collect::<Vec<F>>();
64
65 let mut config = config_base();
66 config.ecfft_config = Some(rs_config::ecfft::gen_config::<F>(
67 config.num_cols(ml_poly.evals.len()),
68 ));
69
70 let mut group = c.benchmark_group("pcs ecfft");
71 group.bench_function("prove", |b| {
72 b.iter(|| {
73 let pcs = TensorMultilinearPCS::<F>::new(config.clone());
74
75 let mut transcript = Transcript::new(b"bench");
76 let comm = pcs.commit(&black_box(ml_poly.clone()));
77 pcs.open(&comm, &ml_poly, &open_at, &mut transcript);
78 })
79 });
80}
81
82fn set_duration() -> Criterion {
83 Criterion::default().sample_size(10)
84}
85
86criterion_group! {
87 name = benches;
88 config = set_duration();
89 targets = pcs_ecfft_bench
90}
91criterion_main!(benches);