Nova/benches/recursive-snark.rs
benches/recursive-snark.rsRaw
1#![allow(non_snake_case)]
2
3use bellperson::{gadgets::num::AllocatedNum, ConstraintSystem, SynthesisError};
4use core::marker::PhantomData;
5use criterion::*;
6use ff::PrimeField;
7use nova_snark::{
8 traits::{
9 circuit::{StepCircuit, TrivialTestCircuit},
10 Group,
11 },
12 PublicParams, RecursiveSNARK,
13};
14use std::time::Duration;
15
16type G1 = pasta_curves::pallas::Point;
17type G2 = pasta_curves::vesta::Point;
18type C1 = NonTrivialTestCircuit<<G1 as Group>::Scalar>;
19type C2 = TrivialTestCircuit<<G2 as Group>::Scalar>;
20
21criterion_group! {
22name = recursive_snark;
23config = Criterion::default().warm_up_time(Duration::from_millis(3000));
24targets = bench_recursive_snark
25}
26
27criterion_main!(recursive_snark);
28
29fn bench_recursive_snark(c: &mut Criterion) {
30 let num_cons_verifier_circuit_primary = 9819;
31 // we vary the number of constraints in the step circuit
32 for &num_cons_in_augmented_circuit in
33 [9819, 16384, 32768, 65536, 131072, 262144, 524288, 1048576].iter()
34 {
35 // number of constraints in the step circuit
36 let num_cons = num_cons_in_augmented_circuit - num_cons_verifier_circuit_primary;
37
38 let mut group = c.benchmark_group(format!("RecursiveSNARK-StepCircuitSize-{}", num_cons));
39 group.sample_size(10);
40
41 // Produce public parameters
42 let pp = PublicParams::<G1, G2, C1, C2>::setup(
43 NonTrivialTestCircuit::new(num_cons),
44 TrivialTestCircuit::default(),
45 );
46
47 // Bench time to produce a recursive SNARK;
48 // we execute a certain number of warm-up steps since executing
49 // the first step is cheaper than other steps owing to the presence of
50 // a lot of zeros in the satisfying assignment
51 let num_warmup_steps = 10;
52 let mut recursive_snark: Option<RecursiveSNARK<G1, G2, C1, C2>> = None;
53
54 for i in 0..num_warmup_steps {
55 let res = RecursiveSNARK::prove_step(
56 &pp,
57 recursive_snark,
58 NonTrivialTestCircuit::new(num_cons),
59 TrivialTestCircuit::default(),
60 vec![<G1 as Group>::Scalar::from(2u64)],
61 vec![<G2 as Group>::Scalar::from(2u64)],
62 );
63 assert!(res.is_ok());
64 let recursive_snark_unwrapped = res.unwrap();
65
66 // verify the recursive snark at each step of recursion
67 let res = recursive_snark_unwrapped.verify(
68 &pp,
69 i + 1,
70 vec![<G1 as Group>::Scalar::from(2u64)],
71 vec![<G2 as Group>::Scalar::from(2u64)],
72 );
73 assert!(res.is_ok());
74
75 // set the running variable for the next iteration
76 recursive_snark = Some(recursive_snark_unwrapped);
77 }
78
79 group.bench_function("Prove", |b| {
80 b.iter(|| {
81 // produce a recursive SNARK for a step of the recursion
82 assert!(RecursiveSNARK::prove_step(
83 black_box(&pp),
84 black_box(recursive_snark.clone()),
85 black_box(NonTrivialTestCircuit::new(num_cons)),
86 black_box(TrivialTestCircuit::default()),
87 black_box(vec![<G1 as Group>::Scalar::from(2u64)]),
88 black_box(vec![<G2 as Group>::Scalar::from(2u64)]),
89 )
90 .is_ok());
91 })
92 });
93
94 let recursive_snark = recursive_snark.unwrap();
95
96 // Benchmark the verification time
97 group.bench_function("Verify", |b| {
98 b.iter(|| {
99 assert!(black_box(&recursive_snark)
100 .verify(
101 black_box(&pp),
102 black_box(num_warmup_steps),
103 black_box(vec![<G1 as Group>::Scalar::from(2u64)]),
104 black_box(vec![<G2 as Group>::Scalar::from(2u64)]),
105 )
106 .is_ok());
107 });
108 });
109 group.finish();
110 }
111}
112
113#[derive(Clone, Debug, Default)]
114struct NonTrivialTestCircuit<F: PrimeField> {
115 num_cons: usize,
116 _p: PhantomData<F>,
117}
118
119impl<F> NonTrivialTestCircuit<F>
120where
121 F: PrimeField,
122{
123 pub fn new(num_cons: usize) -> Self {
124 Self {
125 num_cons,
126 _p: Default::default(),
127 }
128 }
129}
130impl<F> StepCircuit<F> for NonTrivialTestCircuit<F>
131where
132 F: PrimeField,
133{
134 fn arity(&self) -> usize {
135 1
136 }
137
138 fn synthesize<CS: ConstraintSystem<F>>(
139 &self,
140 cs: &mut CS,
141 z: &[AllocatedNum<F>],
142 ) -> Result<Vec<AllocatedNum<F>>, SynthesisError> {
143 // Consider a an equation: `x^2 = y`, where `x` and `y` are respectively the input and output.
144 let mut x = z[0].clone();
145 let mut y = x.clone();
146 for i in 0..self.num_cons {
147 y = x.square(cs.namespace(|| format!("x_sq_{}", i)))?;
148 x = y.clone();
149 }
150 Ok(vec![y])
151 }
152
153 fn output(&self, z: &[F]) -> Vec<F> {
154 let mut x = z[0];
155 let mut y = x;
156 for _i in 0..self.num_cons {
157 y = x * x;
158 x = y;
159 }
160 vec![y]
161 }
162}