Nova/benches/compressed-snark.rs

#![allow(non_snake_case)]

use bellperson::{gadgets::num::AllocatedNum, ConstraintSystem, SynthesisError};
use core::marker::PhantomData;
use criterion::*;
use ff::PrimeField;
use nova_snark::{
  traits::{
    circuit::{StepCircuit, TrivialTestCircuit},
    Group,
  },
  CompressedSNARK, PublicParams, RecursiveSNARK,
};
use std::time::Duration;

type G1 = pasta_curves::pallas::Point;
type G2 = pasta_curves::vesta::Point;
type S1 = nova_snark::spartan_with_ipa_pc::RelaxedR1CSSNARK<G1>;
type S2 = nova_snark::spartan_with_ipa_pc::RelaxedR1CSSNARK<G2>;
type C1 = NonTrivialTestCircuit<<G1 as Group>::Scalar>;
type C2 = TrivialTestCircuit<<G2 as Group>::Scalar>;

criterion_group! {
name = compressed_snark;
config = Criterion::default().warm_up_time(Duration::from_millis(3000));
targets = bench_compressed_snark
}

criterion_main!(compressed_snark);

fn bench_compressed_snark(c: &mut Criterion) {
  let num_samples = 10;

  // we vary the number of constraints in the step circuit
  for &log_num_cons_in_step_circuit in [0, 15, 16, 17, 18, 19, 20].iter() {
    let num_cons = 1 << log_num_cons_in_step_circuit;

    let mut group = c.benchmark_group(format!("RecursiveSNARK-StepCircuitSize-{}", num_cons));
    group.sample_size(num_samples);

    // Produce public parameters
    let pp = PublicParams::<G1, G2, C1, C2>::setup(
      NonTrivialTestCircuit::new(num_cons),
      TrivialTestCircuit::default(),
    );

    // produce a recursive SNARK
    let num_steps = 3;
    let mut recursive_snark: Option<RecursiveSNARK<G1, G2, C1, C2>> = None;

    for i in 0..num_steps {
      let res = RecursiveSNARK::prove_step(
        &pp,
        recursive_snark,
        NonTrivialTestCircuit::new(num_cons),
        TrivialTestCircuit::default(),
        <G1 as Group>::Scalar::one(),
        <G2 as Group>::Scalar::one(),
      );
      assert!(res.is_ok());
      let recursive_snark_unwrapped = res.unwrap();

      // verify the recursive snark at each step of recursion
      let res = recursive_snark_unwrapped.verify(
        &pp,
        i + 1,
        <G1 as Group>::Scalar::one(),
        <G2 as Group>::Scalar::one(),
      );
      assert!(res.is_ok());

      // set the running variable for the next iteration
      recursive_snark = Some(recursive_snark_unwrapped);
    }

    // Bench time to produce a compressed SNARK
    let recursive_snark = recursive_snark.unwrap();
    group.bench_function("Prove", |b| {
      b.iter(|| {
        assert!(CompressedSNARK::<_, _, _, _, S1, S2>::prove(
          black_box(&pp),
          black_box(&recursive_snark)
        )
        .is_ok());
      })
    });
    let res = CompressedSNARK::<_, _, _, _, S1, S2>::prove(&pp, &recursive_snark);
    assert!(res.is_ok());
    let compressed_snark = res.unwrap();

    // Benchmark the verification time
    group.bench_function("Verify", |b| {
      b.iter(|| {
        assert!(black_box(&compressed_snark)
          .verify(
            black_box(&pp),
            black_box(num_steps),
            black_box(<G1 as Group>::Scalar::one()),
            black_box(<G2 as Group>::Scalar::one()),
          )
          .is_ok());
      })
    });

    group.finish();
  }
}

#[derive(Clone, Debug, Default)]
struct NonTrivialTestCircuit<F: PrimeField> {
  num_cons: usize,
  _p: PhantomData<F>,
}

impl<F> NonTrivialTestCircuit<F>
where
  F: PrimeField,
{
  pub fn new(num_cons: usize) -> Self {
    Self {
      num_cons,
      _p: Default::default(),
    }
  }
}
impl<F> StepCircuit<F> for NonTrivialTestCircuit<F>
where
  F: PrimeField,
{
  fn synthesize<CS: ConstraintSystem<F>>(
    &self,
    cs: &mut CS,
    z: AllocatedNum<F>,
  ) -> Result<AllocatedNum<F>, SynthesisError> {
    // Consider a an equation: `x^2 = y`, where `x` and `y` are respectively the input and output.
    let mut x = z;
    let mut y = x.clone();
    for i in 0..self.num_cons {
      y = x.square(cs.namespace(|| format!("x_sq_{}", i)))?;
      x = y.clone();
    }
    Ok(y)
  }

  fn compute(&self, z: &F) -> F {
    let mut x = *z;
    let mut y = x;
    for _i in 0..self.num_cons {
      y = x * x;
      x = y;
    }
    y
  }
}