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Reorganize various Spartan SNARKs and make the direct interface more generic (#195)

* reorganize different variants of spartan and make direct snark more generic

* cargo fmt
main
Srinath Setty 1 year ago
committed by GitHub
parent
commit
e76e6bc0f8
No known key found for this signature in database GPG Key ID: 4AEE18F83AFDEB23
7 changed files with 815 additions and 779 deletions
  1. +2
    -2
      benches/compressed-snark.rs
  2. +2
    -2
      examples/minroot.rs
  3. +4
    -4
      src/lib.rs
  4. +265
    -0
      src/spartan/direct.rs
  5. +8
    -522
      src/spartan/mod.rs
  6. +2
    -249
      src/spartan/ppsnark.rs
  7. +532
    -0
      src/spartan/snark.rs

+ 2
- 2
benches/compressed-snark.rs

@ -17,8 +17,8 @@ type G1 = pasta_curves::pallas::Point;
type G2 = pasta_curves::vesta::Point;
type EE1 = nova_snark::provider::ipa_pc::EvaluationEngine<G1>;
type EE2 = nova_snark::provider::ipa_pc::EvaluationEngine<G2>;
type S1 = nova_snark::spartan::RelaxedR1CSSNARK<G1, EE1>;
type S2 = nova_snark::spartan::RelaxedR1CSSNARK<G2, EE2>;
type S1 = nova_snark::spartan::snark::RelaxedR1CSSNARK<G1, EE1>;
type S2 = nova_snark::spartan::snark::RelaxedR1CSSNARK<G2, EE2>;
type C1 = NonTrivialTestCircuit<<G1 as Group>::Scalar>;
type C2 = TrivialTestCircuit<<G2 as Group>::Scalar>;

+ 2
- 2
examples/minroot.rs

@ -262,8 +262,8 @@ fn main() {
let start = Instant::now();
type EE1 = nova_snark::provider::ipa_pc::EvaluationEngine<G1>;
type EE2 = nova_snark::provider::ipa_pc::EvaluationEngine<G2>;
type S1 = nova_snark::spartan::RelaxedR1CSSNARK<G1, EE1>;
type S2 = nova_snark::spartan::RelaxedR1CSSNARK<G2, EE2>;
type S1 = nova_snark::spartan::snark::RelaxedR1CSSNARK<G1, EE1>;
type S2 = nova_snark::spartan::snark::RelaxedR1CSSNARK<G2, EE2>;
let res = CompressedSNARK::<_, _, _, _, S1, S2>::prove(&pp, &pk, &recursive_snark);
println!(

+ 4
- 4
src/lib.rs

@ -799,10 +799,10 @@ mod tests {
use super::*;
type EE1<G1> = provider::ipa_pc::EvaluationEngine<G1>;
type EE2<G2> = provider::ipa_pc::EvaluationEngine<G2>;
type S1<G1> = spartan::RelaxedR1CSSNARK<G1, EE1<G1>>;
type S2<G2> = spartan::RelaxedR1CSSNARK<G2, EE2<G2>>;
type S1Prime<G1> = spartan::pp::RelaxedR1CSSNARK<G1, EE1<G1>>;
type S2Prime<G2> = spartan::pp::RelaxedR1CSSNARK<G2, EE2<G2>>;
type S1<G1> = spartan::snark::RelaxedR1CSSNARK<G1, EE1<G1>>;
type S2<G2> = spartan::snark::RelaxedR1CSSNARK<G2, EE2<G2>>;
type S1Prime<G1> = spartan::ppsnark::RelaxedR1CSSNARK<G1, EE1<G1>>;
type S2Prime<G2> = spartan::ppsnark::RelaxedR1CSSNARK<G2, EE2<G2>>;
use ::bellperson::{gadgets::num::AllocatedNum, ConstraintSystem, SynthesisError};
use core::marker::PhantomData;

+ 265
- 0
src/spartan/direct.rs

@ -0,0 +1,265 @@
//! This module provides interfaces to directly prove a step circuit by using Spartan SNARK.
//! In particular, it supports any SNARK that implements RelaxedR1CSSNARK trait
//! (e.g., with the SNARKs implemented in ppsnark.rs or snark.rs).
use crate::{
bellperson::{
r1cs::{NovaShape, NovaWitness},
shape_cs::ShapeCS,
solver::SatisfyingAssignment,
},
errors::NovaError,
r1cs::{R1CSShape, RelaxedR1CSInstance, RelaxedR1CSWitness},
traits::{circuit::StepCircuit, snark::RelaxedR1CSSNARKTrait, Group},
Commitment, CommitmentKey,
};
use bellperson::{gadgets::num::AllocatedNum, Circuit, ConstraintSystem, SynthesisError};
use core::marker::PhantomData;
use ff::Field;
use serde::{Deserialize, Serialize};
struct DirectCircuit<G: Group, SC: StepCircuit<G::Scalar>> {
z_i: Option<Vec<G::Scalar>>, // inputs to the circuit
sc: SC, // step circuit to be executed
}
impl<G: Group, SC: StepCircuit<G::Scalar>> Circuit<G::Scalar> for DirectCircuit<G, SC> {
fn synthesize<CS: ConstraintSystem<G::Scalar>>(self, cs: &mut CS) -> Result<(), SynthesisError> {
// obtain the arity information
let arity = self.sc.arity();
// Allocate zi. If inputs.zi is not provided, allocate default value 0
let zero = vec![G::Scalar::ZERO; arity];
let z_i = (0..arity)
.map(|i| {
AllocatedNum::alloc(cs.namespace(|| format!("zi_{i}")), || {
Ok(self.z_i.as_ref().unwrap_or(&zero)[i])
})
})
.collect::<Result<Vec<AllocatedNum<G::Scalar>>, _>>()?;
let z_i_plus_one = self.sc.synthesize(&mut cs.namespace(|| "F"), &z_i)?;
// inputize both z_i and z_i_plus_one
for (j, input) in z_i.iter().enumerate().take(arity) {
let _ = input.inputize(cs.namespace(|| format!("input {j}")));
}
for (j, output) in z_i_plus_one.iter().enumerate().take(arity) {
let _ = output.inputize(cs.namespace(|| format!("output {j}")));
}
Ok(())
}
}
/// A type that holds the prover key
#[derive(Clone, Serialize, Deserialize)]
#[serde(bound = "")]
pub struct ProverKey<G, S>
where
G: Group,
S: RelaxedR1CSSNARKTrait<G>,
{
S: R1CSShape<G>,
ck: CommitmentKey<G>,
pk: S::ProverKey,
}
/// A type that holds the verifier key
#[derive(Clone, Serialize, Deserialize)]
#[serde(bound = "")]
pub struct VerifierKey<G, S>
where
G: Group,
S: RelaxedR1CSSNARKTrait<G>,
{
vk: S::VerifierKey,
}
/// A direct SNARK proving a step circuit
#[derive(Clone, Serialize, Deserialize)]
#[serde(bound = "")]
pub struct DirectSNARK<G, S, C>
where
G: Group,
S: RelaxedR1CSSNARKTrait<G>,
C: StepCircuit<G::Scalar>,
{
comm_W: Commitment<G>, // commitment to the witness
snark: S, // snark proving the witness is satisfying
_p: PhantomData<C>,
}
impl<G: Group, S: RelaxedR1CSSNARKTrait<G>, C: StepCircuit<G::Scalar>> DirectSNARK<G, S, C> {
/// Produces prover and verifier keys for the direct SNARK
pub fn setup(sc: C) -> Result<(ProverKey<G, S>, VerifierKey<G, S>), NovaError> {
// construct a circuit that can be synthesized
let circuit: DirectCircuit<G, C> = DirectCircuit { z_i: None, sc };
let mut cs: ShapeCS<G> = ShapeCS::new();
let _ = circuit.synthesize(&mut cs);
let (shape, ck) = cs.r1cs_shape();
let (pk, vk) = S::setup(&ck, &shape)?;
let pk = ProverKey { S: shape, ck, pk };
let vk = VerifierKey { vk };
Ok((pk, vk))
}
/// Produces a proof of satisfiability of the provided circuit
pub fn prove(pk: &ProverKey<G, S>, sc: C, z_i: &[G::Scalar]) -> Result<Self, NovaError> {
let mut cs: SatisfyingAssignment<G> = SatisfyingAssignment::new();
let circuit: DirectCircuit<G, C> = DirectCircuit {
z_i: Some(z_i.to_vec()),
sc,
};
let _ = circuit.synthesize(&mut cs);
let (u, w) = cs
.r1cs_instance_and_witness(&pk.S, &pk.ck)
.map_err(|_e| NovaError::UnSat)?;
// convert the instance and witness to relaxed form
let (u_relaxed, w_relaxed) = (
RelaxedR1CSInstance::from_r1cs_instance_unchecked(&u.comm_W, &u.X),
RelaxedR1CSWitness::from_r1cs_witness(&pk.S, &w),
);
// prove the instance using Spartan
let snark = S::prove(&pk.ck, &pk.pk, &u_relaxed, &w_relaxed)?;
Ok(DirectSNARK {
comm_W: u.comm_W,
snark,
_p: Default::default(),
})
}
/// Verifies a proof of satisfiability
pub fn verify(&self, vk: &VerifierKey<G, S>, io: &[G::Scalar]) -> Result<(), NovaError> {
// construct an instance using the provided commitment to the witness and z_i and z_{i+1}
let u_relaxed = RelaxedR1CSInstance::from_r1cs_instance_unchecked(&self.comm_W, io);
// verify the snark using the constructed instance
self.snark.verify(&vk.vk, &u_relaxed)?;
Ok(())
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::provider::bn256_grumpkin::bn256;
use ::bellperson::{gadgets::num::AllocatedNum, ConstraintSystem, SynthesisError};
use core::marker::PhantomData;
use ff::PrimeField;
#[derive(Clone, Debug, Default)]
struct CubicCircuit<F: PrimeField> {
_p: PhantomData<F>,
}
impl<F> StepCircuit<F> for CubicCircuit<F>
where
F: PrimeField,
{
fn arity(&self) -> usize {
1
}
fn synthesize<CS: ConstraintSystem<F>>(
&self,
cs: &mut CS,
z: &[AllocatedNum<F>],
) -> Result<Vec<AllocatedNum<F>>, SynthesisError> {
// Consider a cubic equation: `x^3 + x + 5 = y`, where `x` and `y` are respectively the input and output.
let x = &z[0];
let x_sq = x.square(cs.namespace(|| "x_sq"))?;
let x_cu = x_sq.mul(cs.namespace(|| "x_cu"), x)?;
let y = AllocatedNum::alloc(cs.namespace(|| "y"), || {
Ok(x_cu.get_value().unwrap() + x.get_value().unwrap() + F::from(5u64))
})?;
cs.enforce(
|| "y = x^3 + x + 5",
|lc| {
lc + x_cu.get_variable()
+ x.get_variable()
+ CS::one()
+ CS::one()
+ CS::one()
+ CS::one()
+ CS::one()
},
|lc| lc + CS::one(),
|lc| lc + y.get_variable(),
);
Ok(vec![y])
}
fn output(&self, z: &[F]) -> Vec<F> {
vec![z[0] * z[0] * z[0] + z[0] + F::from(5u64)]
}
}
#[test]
fn test_direct_snark() {
type G = pasta_curves::pallas::Point;
type EE = crate::provider::ipa_pc::EvaluationEngine<G>;
type S = crate::spartan::snark::RelaxedR1CSSNARK<G, EE>;
type Spp = crate::spartan::ppsnark::RelaxedR1CSSNARK<G, EE>;
test_direct_snark_with::<G, S>();
test_direct_snark_with::<G, Spp>();
type G2 = bn256::Point;
type EE2 = crate::provider::ipa_pc::EvaluationEngine<G2>;
type S2 = crate::spartan::snark::RelaxedR1CSSNARK<G2, EE2>;
type S2pp = crate::spartan::ppsnark::RelaxedR1CSSNARK<G2, EE2>;
test_direct_snark_with::<G2, S2>();
test_direct_snark_with::<G2, S2pp>();
}
fn test_direct_snark_with<G: Group, S: RelaxedR1CSSNARKTrait<G>>() {
let circuit = CubicCircuit::default();
// produce keys
let (pk, vk) =
DirectSNARK::<G, S, CubicCircuit<<G as Group>::Scalar>>::setup(circuit.clone()).unwrap();
let num_steps = 3;
// setup inputs
let z0 = vec![<G as Group>::Scalar::ZERO];
let mut z_i = z0;
for _i in 0..num_steps {
// produce a SNARK
let res = DirectSNARK::prove(&pk, circuit.clone(), &z_i);
assert!(res.is_ok());
let z_i_plus_one = circuit.output(&z_i);
let snark = res.unwrap();
// verify the SNARK
let io = z_i
.clone()
.into_iter()
.chain(z_i_plus_one.clone().into_iter())
.collect::<Vec<_>>();
let res = snark.verify(&vk, &io);
assert!(res.is_ok());
// set input to the next step
z_i = z_i_plus_one.clone();
}
// sanity: check the claimed output with a direct computation of the same
assert_eq!(z_i, vec![<G as Group>::Scalar::from(2460515u64)]);
}
}

+ 8
- 522
src/spartan/mod.rs

@ -1,25 +1,18 @@
//! This module implements RelaxedR1CSSNARKTrait using Spartan that is generic
//! over the polynomial commitment and evaluation argument (i.e., a PCS)
//! We provide two implementations, one in snark.rs (which does not use any preprocessing)
//! and another in ppsnark.rs (which uses preprocessing to keep the verifier's state small if the PCS scheme provides a succinct verifier)
//! We also provide direct.rs that allows proving a step circuit directly with either of the two SNARKs.
pub mod direct;
mod math;
pub(crate) mod polynomial;
pub mod pp;
pub mod ppsnark;
pub mod snark;
mod sumcheck;
use crate::{
compute_digest,
errors::NovaError,
r1cs::{R1CSShape, RelaxedR1CSInstance, RelaxedR1CSWitness},
traits::{
evaluation::EvaluationEngineTrait, snark::RelaxedR1CSSNARKTrait, Group, TranscriptEngineTrait,
},
Commitment, CommitmentKey,
};
use crate::{traits::Group, Commitment};
use ff::Field;
use itertools::concat;
use polynomial::{EqPolynomial, MultilinearPolynomial, SparsePolynomial};
use rayon::prelude::*;
use serde::{Deserialize, Serialize};
use sumcheck::SumcheckProof;
use polynomial::SparsePolynomial;
fn powers<G: Group>(s: &G::Scalar, n: usize) -> Vec<G::Scalar> {
assert!(n >= 1);
@ -123,510 +116,3 @@ impl PolyEvalInstance {
}
}
}
/// A type that represents the prover's key
#[derive(Serialize, Deserialize)]
#[serde(bound = "")]
pub struct ProverKey<G: Group, EE: EvaluationEngineTrait<G, CE = G::CE>> {
pk_ee: EE::ProverKey,
S: R1CSShape<G>,
vk_digest: G::Scalar, // digest of the verifier's key
}
/// A type that represents the verifier's key
#[derive(Serialize, Deserialize)]
#[serde(bound = "")]
pub struct VerifierKey<G: Group, EE: EvaluationEngineTrait<G, CE = G::CE>> {
vk_ee: EE::VerifierKey,
S: R1CSShape<G>,
digest: G::Scalar,
}
/// A succinct proof of knowledge of a witness to a relaxed R1CS instance
/// The proof is produced using Spartan's combination of the sum-check and
/// the commitment to a vector viewed as a polynomial commitment
#[derive(Serialize, Deserialize)]
#[serde(bound = "")]
pub struct RelaxedR1CSSNARK<G: Group, EE: EvaluationEngineTrait<G, CE = G::CE>> {
sc_proof_outer: SumcheckProof<G>,
claims_outer: (G::Scalar, G::Scalar, G::Scalar),
eval_E: G::Scalar,
sc_proof_inner: SumcheckProof<G>,
eval_W: G::Scalar,
sc_proof_batch: SumcheckProof<G>,
evals_batch: Vec<G::Scalar>,
eval_arg: EE::EvaluationArgument,
}
impl<G: Group, EE: EvaluationEngineTrait<G, CE = G::CE>> RelaxedR1CSSNARKTrait<G>
for RelaxedR1CSSNARK<G, EE>
{
type ProverKey = ProverKey<G, EE>;
type VerifierKey = VerifierKey<G, EE>;
fn setup(
ck: &CommitmentKey<G>,
S: &R1CSShape<G>,
) -> Result<(Self::ProverKey, Self::VerifierKey), NovaError> {
let (pk_ee, vk_ee) = EE::setup(ck);
let S = S.pad();
let vk = {
let mut vk = VerifierKey {
vk_ee,
S: S.clone(),
digest: G::Scalar::ZERO,
};
vk.digest = compute_digest::<G, VerifierKey<G, EE>>(&vk);
vk
};
let pk = ProverKey {
pk_ee,
S,
vk_digest: vk.digest,
};
Ok((pk, vk))
}
/// produces a succinct proof of satisfiability of a RelaxedR1CS instance
fn prove(
ck: &CommitmentKey<G>,
pk: &Self::ProverKey,
U: &RelaxedR1CSInstance<G>,
W: &RelaxedR1CSWitness<G>,
) -> Result<Self, NovaError> {
let W = W.pad(&pk.S); // pad the witness
let mut transcript = G::TE::new(b"RelaxedR1CSSNARK");
// sanity check that R1CSShape has certain size characteristics
assert_eq!(pk.S.num_cons.next_power_of_two(), pk.S.num_cons);
assert_eq!(pk.S.num_vars.next_power_of_two(), pk.S.num_vars);
assert_eq!(pk.S.num_io.next_power_of_two(), pk.S.num_io);
assert!(pk.S.num_io < pk.S.num_vars);
// append the digest of vk (which includes R1CS matrices) and the RelaxedR1CSInstance to the transcript
transcript.absorb(b"vk", &pk.vk_digest);
transcript.absorb(b"U", U);
// compute the full satisfying assignment by concatenating W.W, U.u, and U.X
let mut z = concat(vec![W.W.clone(), vec![U.u], U.X.clone()]);
let (num_rounds_x, num_rounds_y) = (
(pk.S.num_cons as f64).log2() as usize,
((pk.S.num_vars as f64).log2() as usize + 1),
);
// outer sum-check
let tau = (0..num_rounds_x)
.map(|_i| transcript.squeeze(b"t"))
.collect::<Result<Vec<G::Scalar>, NovaError>>()?;
let mut poly_tau = MultilinearPolynomial::new(EqPolynomial::new(tau).evals());
let (mut poly_Az, mut poly_Bz, poly_Cz, mut poly_uCz_E) = {
let (poly_Az, poly_Bz, poly_Cz) = pk.S.multiply_vec(&z)?;
let poly_uCz_E = (0..pk.S.num_cons)
.map(|i| U.u * poly_Cz[i] + W.E[i])
.collect::<Vec<G::Scalar>>();
(
MultilinearPolynomial::new(poly_Az),
MultilinearPolynomial::new(poly_Bz),
MultilinearPolynomial::new(poly_Cz),
MultilinearPolynomial::new(poly_uCz_E),
)
};
let comb_func_outer =
|poly_A_comp: &G::Scalar,
poly_B_comp: &G::Scalar,
poly_C_comp: &G::Scalar,
poly_D_comp: &G::Scalar|
-> G::Scalar { *poly_A_comp * (*poly_B_comp * *poly_C_comp - *poly_D_comp) };
let (sc_proof_outer, r_x, claims_outer) = SumcheckProof::prove_cubic_with_additive_term(
&G::Scalar::ZERO, // claim is zero
num_rounds_x,
&mut poly_tau,
&mut poly_Az,
&mut poly_Bz,
&mut poly_uCz_E,
comb_func_outer,
&mut transcript,
)?;
// claims from the end of sum-check
let (claim_Az, claim_Bz): (G::Scalar, G::Scalar) = (claims_outer[1], claims_outer[2]);
let claim_Cz = poly_Cz.evaluate(&r_x);
let eval_E = MultilinearPolynomial::new(W.E.clone()).evaluate(&r_x);
transcript.absorb(
b"claims_outer",
&[claim_Az, claim_Bz, claim_Cz, eval_E].as_slice(),
);
// inner sum-check
let r = transcript.squeeze(b"r")?;
let claim_inner_joint = claim_Az + r * claim_Bz + r * r * claim_Cz;
let poly_ABC = {
// compute the initial evaluation table for R(\tau, x)
let evals_rx = EqPolynomial::new(r_x.clone()).evals();
// Bounds "row" variables of (A, B, C) matrices viewed as 2d multilinear polynomials
let compute_eval_table_sparse =
|S: &R1CSShape<G>, rx: &[G::Scalar]| -> (Vec<G::Scalar>, Vec<G::Scalar>, Vec<G::Scalar>) {
assert_eq!(rx.len(), S.num_cons);
let inner = |M: &Vec<(usize, usize, G::Scalar)>, M_evals: &mut Vec<G::Scalar>| {
for (row, col, val) in M {
M_evals[*col] += rx[*row] * val;
}
};
let (A_evals, (B_evals, C_evals)) = rayon::join(
|| {
let mut A_evals: Vec<G::Scalar> = vec![G::Scalar::ZERO; 2 * S.num_vars];
inner(&S.A, &mut A_evals);
A_evals
},
|| {
rayon::join(
|| {
let mut B_evals: Vec<G::Scalar> = vec![G::Scalar::ZERO; 2 * S.num_vars];
inner(&S.B, &mut B_evals);
B_evals
},
|| {
let mut C_evals: Vec<G::Scalar> = vec![G::Scalar::ZERO; 2 * S.num_vars];
inner(&S.C, &mut C_evals);
C_evals
},
)
},
);
(A_evals, B_evals, C_evals)
};
let (evals_A, evals_B, evals_C) = compute_eval_table_sparse(&pk.S, &evals_rx);
assert_eq!(evals_A.len(), evals_B.len());
assert_eq!(evals_A.len(), evals_C.len());
(0..evals_A.len())
.into_par_iter()
.map(|i| evals_A[i] + r * evals_B[i] + r * r * evals_C[i])
.collect::<Vec<G::Scalar>>()
};
let poly_z = {
z.resize(pk.S.num_vars * 2, G::Scalar::ZERO);
z
};
let comb_func = |poly_A_comp: &G::Scalar, poly_B_comp: &G::Scalar| -> G::Scalar {
*poly_A_comp * *poly_B_comp
};
let (sc_proof_inner, r_y, _claims_inner) = SumcheckProof::prove_quad(
&claim_inner_joint,
num_rounds_y,
&mut MultilinearPolynomial::new(poly_ABC),
&mut MultilinearPolynomial::new(poly_z),
comb_func,
&mut transcript,
)?;
// add additional claims about W and E polynomials to the list from CC
let mut w_u_vec = Vec::new();
let eval_W = MultilinearPolynomial::evaluate_with(&W.W, &r_y[1..]);
w_u_vec.push((
PolyEvalWitness { p: W.W.clone() },
PolyEvalInstance {
c: U.comm_W,
x: r_y[1..].to_vec(),
e: eval_W,
},
));
w_u_vec.push((
PolyEvalWitness { p: W.E },
PolyEvalInstance {
c: U.comm_E,
x: r_x,
e: eval_E,
},
));
// We will now reduce a vector of claims of evaluations at different points into claims about them at the same point.
// For example, eval_W =? W(r_y[1..]) and eval_E =? E(r_x) into
// two claims: eval_W_prime =? W(rz) and eval_E_prime =? E(rz)
// We can them combine the two into one: eval_W_prime + gamma * eval_E_prime =? (W + gamma*E)(rz),
// where gamma is a public challenge
// Since commitments to W and E are homomorphic, the verifier can compute a commitment
// to the batched polynomial.
assert!(w_u_vec.len() >= 2);
let (w_vec, u_vec): (Vec<PolyEvalWitness<G>>, Vec<PolyEvalInstance<G>>) =
w_u_vec.into_iter().unzip();
let w_vec_padded = PolyEvalWitness::pad(&w_vec); // pad the polynomials to be of the same size
let u_vec_padded = PolyEvalInstance::pad(&u_vec); // pad the evaluation points
// generate a challenge
let rho = transcript.squeeze(b"r")?;
let num_claims = w_vec_padded.len();
let powers_of_rho = powers::<G>(&rho, num_claims);
let claim_batch_joint = u_vec_padded
.iter()
.zip(powers_of_rho.iter())
.map(|(u, p)| u.e * p)
.sum();
let mut polys_left: Vec<MultilinearPolynomial<G::Scalar>> = w_vec_padded
.iter()
.map(|w| MultilinearPolynomial::new(w.p.clone()))
.collect();
let mut polys_right: Vec<MultilinearPolynomial<G::Scalar>> = u_vec_padded
.iter()
.map(|u| MultilinearPolynomial::new(EqPolynomial::new(u.x.clone()).evals()))
.collect();
let num_rounds_z = u_vec_padded[0].x.len();
let comb_func = |poly_A_comp: &G::Scalar, poly_B_comp: &G::Scalar| -> G::Scalar {
*poly_A_comp * *poly_B_comp
};
let (sc_proof_batch, r_z, claims_batch) = SumcheckProof::prove_quad_batch(
&claim_batch_joint,
num_rounds_z,
&mut polys_left,
&mut polys_right,
&powers_of_rho,
comb_func,
&mut transcript,
)?;
let (claims_batch_left, _): (Vec<G::Scalar>, Vec<G::Scalar>) = claims_batch;
transcript.absorb(b"l", &claims_batch_left.as_slice());
// we now combine evaluation claims at the same point rz into one
let gamma = transcript.squeeze(b"g")?;
let powers_of_gamma: Vec<G::Scalar> = powers::<G>(&gamma, num_claims);
let comm_joint = u_vec_padded
.iter()
.zip(powers_of_gamma.iter())
.map(|(u, g_i)| u.c * *g_i)
.fold(Commitment::<G>::default(), |acc, item| acc + item);
let poly_joint = PolyEvalWitness::weighted_sum(&w_vec_padded, &powers_of_gamma);
let eval_joint = claims_batch_left
.iter()
.zip(powers_of_gamma.iter())
.map(|(e, g_i)| *e * *g_i)
.sum();
let eval_arg = EE::prove(
ck,
&pk.pk_ee,
&mut transcript,
&comm_joint,
&poly_joint.p,
&r_z,
&eval_joint,
)?;
Ok(RelaxedR1CSSNARK {
sc_proof_outer,
claims_outer: (claim_Az, claim_Bz, claim_Cz),
eval_E,
sc_proof_inner,
eval_W,
sc_proof_batch,
evals_batch: claims_batch_left,
eval_arg,
})
}
/// verifies a proof of satisfiability of a RelaxedR1CS instance
fn verify(&self, vk: &Self::VerifierKey, U: &RelaxedR1CSInstance<G>) -> Result<(), NovaError> {
let mut transcript = G::TE::new(b"RelaxedR1CSSNARK");
// append the digest of R1CS matrices and the RelaxedR1CSInstance to the transcript
transcript.absorb(b"vk", &vk.digest);
transcript.absorb(b"U", U);
let (num_rounds_x, num_rounds_y) = (
(vk.S.num_cons as f64).log2() as usize,
((vk.S.num_vars as f64).log2() as usize + 1),
);
// outer sum-check
let tau = (0..num_rounds_x)
.map(|_i| transcript.squeeze(b"t"))
.collect::<Result<Vec<G::Scalar>, NovaError>>()?;
let (claim_outer_final, r_x) =
self
.sc_proof_outer
.verify(G::Scalar::ZERO, num_rounds_x, 3, &mut transcript)?;
// verify claim_outer_final
let (claim_Az, claim_Bz, claim_Cz) = self.claims_outer;
let taus_bound_rx = EqPolynomial::new(tau).evaluate(&r_x);
let claim_outer_final_expected =
taus_bound_rx * (claim_Az * claim_Bz - U.u * claim_Cz - self.eval_E);
if claim_outer_final != claim_outer_final_expected {
return Err(NovaError::InvalidSumcheckProof);
}
transcript.absorb(
b"claims_outer",
&[
self.claims_outer.0,
self.claims_outer.1,
self.claims_outer.2,
self.eval_E,
]
.as_slice(),
);
// inner sum-check
let r = transcript.squeeze(b"r")?;
let claim_inner_joint =
self.claims_outer.0 + r * self.claims_outer.1 + r * r * self.claims_outer.2;
let (claim_inner_final, r_y) =
self
.sc_proof_inner
.verify(claim_inner_joint, num_rounds_y, 2, &mut transcript)?;
// verify claim_inner_final
let eval_Z = {
let eval_X = {
// constant term
let mut poly_X = vec![(0, U.u)];
//remaining inputs
poly_X.extend(
(0..U.X.len())
.map(|i| (i + 1, U.X[i]))
.collect::<Vec<(usize, G::Scalar)>>(),
);
SparsePolynomial::new((vk.S.num_vars as f64).log2() as usize, poly_X).evaluate(&r_y[1..])
};
(G::Scalar::ONE - r_y[0]) * self.eval_W + r_y[0] * eval_X
};
// compute evaluations of R1CS matrices
let multi_evaluate = |M_vec: &[&[(usize, usize, G::Scalar)]],
r_x: &[G::Scalar],
r_y: &[G::Scalar]|
-> Vec<G::Scalar> {
let evaluate_with_table =
|M: &[(usize, usize, G::Scalar)], T_x: &[G::Scalar], T_y: &[G::Scalar]| -> G::Scalar {
(0..M.len())
.collect::<Vec<usize>>()
.par_iter()
.map(|&i| {
let (row, col, val) = M[i];
T_x[row] * T_y[col] * val
})
.reduce(|| G::Scalar::ZERO, |acc, x| acc + x)
};
let (T_x, T_y) = rayon::join(
|| EqPolynomial::new(r_x.to_vec()).evals(),
|| EqPolynomial::new(r_y.to_vec()).evals(),
);
(0..M_vec.len())
.collect::<Vec<usize>>()
.par_iter()
.map(|&i| evaluate_with_table(M_vec[i], &T_x, &T_y))
.collect()
};
let evals = multi_evaluate(&[&vk.S.A, &vk.S.B, &vk.S.C], &r_x, &r_y);
let claim_inner_final_expected = (evals[0] + r * evals[1] + r * r * evals[2]) * eval_Z;
if claim_inner_final != claim_inner_final_expected {
return Err(NovaError::InvalidSumcheckProof);
}
// add claims about W and E polynomials
let u_vec: Vec<PolyEvalInstance<G>> = vec![
PolyEvalInstance {
c: U.comm_W,
x: r_y[1..].to_vec(),
e: self.eval_W,
},
PolyEvalInstance {
c: U.comm_E,
x: r_x,
e: self.eval_E,
},
];
let u_vec_padded = PolyEvalInstance::pad(&u_vec); // pad the evaluation points
// generate a challenge
let rho = transcript.squeeze(b"r")?;
let num_claims = u_vec.len();
let powers_of_rho = powers::<G>(&rho, num_claims);
let claim_batch_joint = u_vec
.iter()
.zip(powers_of_rho.iter())
.map(|(u, p)| u.e * p)
.sum();
let num_rounds_z = u_vec_padded[0].x.len();
let (claim_batch_final, r_z) =
self
.sc_proof_batch
.verify(claim_batch_joint, num_rounds_z, 2, &mut transcript)?;
let claim_batch_final_expected = {
let poly_rz = EqPolynomial::new(r_z.clone());
let evals = u_vec_padded
.iter()
.map(|u| poly_rz.evaluate(&u.x))
.collect::<Vec<G::Scalar>>();
evals
.iter()
.zip(self.evals_batch.iter())
.zip(powers_of_rho.iter())
.map(|((e_i, p_i), rho_i)| *e_i * *p_i * rho_i)
.sum()
};
if claim_batch_final != claim_batch_final_expected {
return Err(NovaError::InvalidSumcheckProof);
}
transcript.absorb(b"l", &self.evals_batch.as_slice());
// we now combine evaluation claims at the same point rz into one
let gamma = transcript.squeeze(b"g")?;
let powers_of_gamma: Vec<G::Scalar> = powers::<G>(&gamma, num_claims);
let comm_joint = u_vec_padded
.iter()
.zip(powers_of_gamma.iter())
.map(|(u, g_i)| u.c * *g_i)
.fold(Commitment::<G>::default(), |acc, item| acc + item);
let eval_joint = self
.evals_batch
.iter()
.zip(powers_of_gamma.iter())
.map(|(e, g_i)| *e * *g_i)
.sum();
// verify
EE::verify(
&vk.vk_ee,
&mut transcript,
&comm_joint,
&r_z,
&eval_joint,
&self.eval_arg,
)?;
Ok(())
}
}

src/spartan/pp.rs → src/spartan/ppsnark.rs

@ -1,11 +1,8 @@
//! This module implements RelaxedR1CSSNARK traits using a spark-based approach to prove evaluations of
//! sparse multilinear polynomials involved in Spartan's sum-check protocol, thereby providing a preprocessing SNARK
//! The verifier in this preprocessing SNARK maintains a commitment to R1CS matrices. This is beneficial when using a
//! polynomial commitment scheme in which the verifier's costs is succinct.
use crate::{
bellperson::{
r1cs::{NovaShape, NovaWitness},
shape_cs::ShapeCS,
solver::SatisfyingAssignment,
},
compute_digest,
errors::NovaError,
r1cs::{R1CSShape, RelaxedR1CSInstance, RelaxedR1CSWitness},
@ -17,7 +14,6 @@ use crate::{
PolyEvalInstance, PolyEvalWitness, SparsePolynomial,
},
traits::{
circuit::StepCircuit,
commitment::{CommitmentEngineTrait, CommitmentTrait},
evaluation::EvaluationEngineTrait,
snark::RelaxedR1CSSNARKTrait,
@ -25,7 +21,6 @@ use crate::{
},
Commitment, CommitmentKey, CompressedCommitment,
};
use bellperson::{gadgets::num::AllocatedNum, Circuit, ConstraintSystem, SynthesisError};
use core::{cmp::max, marker::PhantomData};
use ff::{Field, PrimeField};
use itertools::concat;
@ -2045,245 +2040,3 @@ impl> RelaxedR1CSSNARKTrait
Ok(())
}
}
// provides direct interfaces to call the SNARK implemented in this module
struct SpartanCircuit<G: Group, SC: StepCircuit<G::Scalar>> {
z_i: Option<Vec<G::Scalar>>, // inputs to the circuit
sc: SC, // step circuit to be executed
}
impl<G: Group, SC: StepCircuit<G::Scalar>> Circuit<G::Scalar> for SpartanCircuit<G, SC> {
fn synthesize<CS: ConstraintSystem<G::Scalar>>(self, cs: &mut CS) -> Result<(), SynthesisError> {
// obtain the arity information
let arity = self.sc.arity();
// Allocate zi. If inputs.zi is not provided, allocate default value 0
let zero = vec![G::Scalar::ZERO; arity];
let z_i = (0..arity)
.map(|i| {
AllocatedNum::alloc(cs.namespace(|| format!("zi_{i}")), || {
Ok(self.z_i.as_ref().unwrap_or(&zero)[i])
})
})
.collect::<Result<Vec<AllocatedNum<G::Scalar>>, _>>()?;
let z_i_plus_one = self.sc.synthesize(&mut cs.namespace(|| "F"), &z_i)?;
// inputize both z_i and z_i_plus_one
for (j, input) in z_i.iter().enumerate().take(arity) {
let _ = input.inputize(cs.namespace(|| format!("input {j}")));
}
for (j, output) in z_i_plus_one.iter().enumerate().take(arity) {
let _ = output.inputize(cs.namespace(|| format!("output {j}")));
}
Ok(())
}
}
/// A type that holds Spartan's prover key
#[derive(Clone, Serialize, Deserialize)]
#[serde(bound = "")]
pub struct SpartanProverKey<G, EE>
where
G: Group,
EE: EvaluationEngineTrait<G, CE = G::CE>,
{
S: R1CSShape<G>,
ck: CommitmentKey<G>,
pk: ProverKey<G, EE>,
}
/// A type that holds Spartan's verifier key
#[derive(Clone, Serialize, Deserialize)]
#[serde(bound = "")]
pub struct SpartanVerifierKey<G, EE>
where
G: Group,
EE: EvaluationEngineTrait<G, CE = G::CE>,
{
vk: VerifierKey<G, EE>,
}
/// A direct SNARK proving a step circuit
#[derive(Clone, Serialize, Deserialize)]
#[serde(bound = "")]
pub struct SpartanSNARK<G, EE, C>
where
G: Group,
EE: EvaluationEngineTrait<G, CE = G::CE>,
C: StepCircuit<G::Scalar>,
{
comm_W: Commitment<G>, // commitment to the witness
snark: RelaxedR1CSSNARK<G, EE>, // snark proving the witness is satisfying
_p: PhantomData<C>,
}
impl<G: Group, EE: EvaluationEngineTrait<G, CE = G::CE>, C: StepCircuit<G::Scalar>>
SpartanSNARK<G, EE, C>
{
/// Produces prover and verifier keys for Spartan
pub fn setup(sc: C) -> Result<(SpartanProverKey<G, EE>, SpartanVerifierKey<G, EE>), NovaError> {
// construct a circuit that can be synthesized
let circuit: SpartanCircuit<G, C> = SpartanCircuit { z_i: None, sc };
let mut cs: ShapeCS<G> = ShapeCS::new();
let _ = circuit.synthesize(&mut cs);
let (S, ck) = cs.r1cs_shape();
let (pk, vk) = RelaxedR1CSSNARK::setup(&ck, &S)?;
let pk = SpartanProverKey { S, ck, pk };
let vk = SpartanVerifierKey { vk };
Ok((pk, vk))
}
/// Produces a proof of satisfiability of the provided circuit
pub fn prove(pk: &SpartanProverKey<G, EE>, sc: C, z_i: &[G::Scalar]) -> Result<Self, NovaError> {
let mut cs: SatisfyingAssignment<G> = SatisfyingAssignment::new();
let circuit: SpartanCircuit<G, C> = SpartanCircuit {
z_i: Some(z_i.to_vec()),
sc,
};
let _ = circuit.synthesize(&mut cs);
let (u, w) = cs
.r1cs_instance_and_witness(&pk.S, &pk.ck)
.map_err(|_e| NovaError::UnSat)?;
// convert the instance and witness to relaxed form
let (u_relaxed, w_relaxed) = (
RelaxedR1CSInstance::from_r1cs_instance_unchecked(&u.comm_W, &u.X),
RelaxedR1CSWitness::from_r1cs_witness(&pk.S, &w),
);
// prove the instance using Spartan
let snark = RelaxedR1CSSNARK::prove(&pk.ck, &pk.pk, &u_relaxed, &w_relaxed)?;
Ok(SpartanSNARK {
comm_W: u.comm_W,
snark,
_p: Default::default(),
})
}
/// Verifies a proof of satisfiability
pub fn verify(&self, vk: &SpartanVerifierKey<G, EE>, io: &[G::Scalar]) -> Result<(), NovaError> {
// construct an instance using the provided commitment to the witness and z_i and z_{i+1}
let u_relaxed = RelaxedR1CSInstance::from_r1cs_instance_unchecked(&self.comm_W, io);
// verify the snark using the constructed instance
self.snark.verify(&vk.vk, &u_relaxed)?;
Ok(())
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::provider::bn256_grumpkin::bn256;
use ::bellperson::{gadgets::num::AllocatedNum, ConstraintSystem, SynthesisError};
use core::marker::PhantomData;
use ff::PrimeField;
#[derive(Clone, Debug, Default)]
struct CubicCircuit<F: PrimeField> {
_p: PhantomData<F>,
}
impl<F> StepCircuit<F> for CubicCircuit<F>
where
F: PrimeField,
{
fn arity(&self) -> usize {
1
}
fn synthesize<CS: ConstraintSystem<F>>(
&self,
cs: &mut CS,
z: &[AllocatedNum<F>],
) -> Result<Vec<AllocatedNum<F>>, SynthesisError> {
// Consider a cubic equation: `x^3 + x + 5 = y`, where `x` and `y` are respectively the input and output.
let x = &z[0];
let x_sq = x.square(cs.namespace(|| "x_sq"))?;
let x_cu = x_sq.mul(cs.namespace(|| "x_cu"), x)?;
let y = AllocatedNum::alloc(cs.namespace(|| "y"), || {
Ok(x_cu.get_value().unwrap() + x.get_value().unwrap() + F::from(5u64))
})?;
cs.enforce(
|| "y = x^3 + x + 5",
|lc| {
lc + x_cu.get_variable()
+ x.get_variable()
+ CS::one()
+ CS::one()
+ CS::one()
+ CS::one()
+ CS::one()
},
|lc| lc + CS::one(),
|lc| lc + y.get_variable(),
);
Ok(vec![y])
}
fn output(&self, z: &[F]) -> Vec<F> {
vec![z[0] * z[0] * z[0] + z[0] + F::from(5u64)]
}
}
#[test]
fn test_spartan_snark() {
type G = pasta_curves::pallas::Point;
type EE = crate::provider::ipa_pc::EvaluationEngine<G>;
test_spartan_snark_with::<G, EE>();
test_spartan_snark_with::<_, crate::provider::ipa_pc::EvaluationEngine<bn256::Point>>();
}
fn test_spartan_snark_with<G: Group, EE: EvaluationEngineTrait<G, CE = G::CE>>() {
let circuit = CubicCircuit::default();
// produce keys
let (pk, vk) =
SpartanSNARK::<G, EE, CubicCircuit<<G as Group>::Scalar>>::setup(circuit.clone()).unwrap();
let num_steps = 3;
// setup inputs
let z0 = vec![<G as Group>::Scalar::ZERO];
let mut z_i = z0;
for _i in 0..num_steps {
// produce a SNARK
let res = SpartanSNARK::prove(&pk, circuit.clone(), &z_i);
assert!(res.is_ok());
let z_i_plus_one = circuit.output(&z_i);
let snark = res.unwrap();
// verify the SNARK
let io = z_i
.clone()
.into_iter()
.chain(z_i_plus_one.clone().into_iter())
.collect::<Vec<_>>();
let res = snark.verify(&vk, &io);
assert!(res.is_ok());
// set input to the next step
z_i = z_i_plus_one.clone();
}
// sanity: check the claimed output with a direct computation of the same
assert_eq!(z_i, vec![<G as Group>::Scalar::from(2460515u64)]);
}
}

+ 532
- 0
src/spartan/snark.rs

@ -0,0 +1,532 @@
//! This module implements RelaxedR1CSSNARKTrait using Spartan that is generic
//! over the polynomial commitment and evaluation argument (i.e., a PCS)
//! This version of Spartan does not use preprocessing so the verifier keeps the entire
//! description of R1CS matrices. This is essentially optimal for the verifier when using
//! an IPA-based polynomial commitment scheme.
use crate::{
compute_digest,
errors::NovaError,
r1cs::{R1CSShape, RelaxedR1CSInstance, RelaxedR1CSWitness},
spartan::{
polynomial::{EqPolynomial, MultilinearPolynomial, SparsePolynomial},
powers,
sumcheck::SumcheckProof,
PolyEvalInstance, PolyEvalWitness,
},
traits::{
evaluation::EvaluationEngineTrait, snark::RelaxedR1CSSNARKTrait, Group, TranscriptEngineTrait,
},
Commitment, CommitmentKey,
};
use ff::Field;
use itertools::concat;
use rayon::prelude::*;
use serde::{Deserialize, Serialize};
/// A type that represents the prover's key
#[derive(Serialize, Deserialize)]
#[serde(bound = "")]
pub struct ProverKey<G: Group, EE: EvaluationEngineTrait<G, CE = G::CE>> {
pk_ee: EE::ProverKey,
S: R1CSShape<G>,
vk_digest: G::Scalar, // digest of the verifier's key
}
/// A type that represents the verifier's key
#[derive(Serialize, Deserialize)]
#[serde(bound = "")]
pub struct VerifierKey<G: Group, EE: EvaluationEngineTrait<G, CE = G::CE>> {
vk_ee: EE::VerifierKey,
S: R1CSShape<G>,
digest: G::Scalar,
}
/// A succinct proof of knowledge of a witness to a relaxed R1CS instance
/// The proof is produced using Spartan's combination of the sum-check and
/// the commitment to a vector viewed as a polynomial commitment
#[derive(Serialize, Deserialize)]
#[serde(bound = "")]
pub struct RelaxedR1CSSNARK<G: Group, EE: EvaluationEngineTrait<G, CE = G::CE>> {
sc_proof_outer: SumcheckProof<G>,
claims_outer: (G::Scalar, G::Scalar, G::Scalar),
eval_E: G::Scalar,
sc_proof_inner: SumcheckProof<G>,
eval_W: G::Scalar,
sc_proof_batch: SumcheckProof<G>,
evals_batch: Vec<G::Scalar>,
eval_arg: EE::EvaluationArgument,
}
impl<G: Group, EE: EvaluationEngineTrait<G, CE = G::CE>> RelaxedR1CSSNARKTrait<G>
for RelaxedR1CSSNARK<G, EE>
{
type ProverKey = ProverKey<G, EE>;
type VerifierKey = VerifierKey<G, EE>;
fn setup(
ck: &CommitmentKey<G>,
S: &R1CSShape<G>,
) -> Result<(Self::ProverKey, Self::VerifierKey), NovaError> {
let (pk_ee, vk_ee) = EE::setup(ck);
let S = S.pad();
let vk = {
let mut vk = VerifierKey {
vk_ee,
S: S.clone(),
digest: G::Scalar::ZERO,
};
vk.digest = compute_digest::<G, VerifierKey<G, EE>>(&vk);
vk
};
let pk = ProverKey {
pk_ee,
S,
vk_digest: vk.digest,
};
Ok((pk, vk))
}
/// produces a succinct proof of satisfiability of a RelaxedR1CS instance
fn prove(
ck: &CommitmentKey<G>,
pk: &Self::ProverKey,
U: &RelaxedR1CSInstance<G>,
W: &RelaxedR1CSWitness<G>,
) -> Result<Self, NovaError> {
let W = W.pad(&pk.S); // pad the witness
let mut transcript = G::TE::new(b"RelaxedR1CSSNARK");
// sanity check that R1CSShape has certain size characteristics
assert_eq!(pk.S.num_cons.next_power_of_two(), pk.S.num_cons);
assert_eq!(pk.S.num_vars.next_power_of_two(), pk.S.num_vars);
assert_eq!(pk.S.num_io.next_power_of_two(), pk.S.num_io);
assert!(pk.S.num_io < pk.S.num_vars);
// append the digest of vk (which includes R1CS matrices) and the RelaxedR1CSInstance to the transcript
transcript.absorb(b"vk", &pk.vk_digest);
transcript.absorb(b"U", U);
// compute the full satisfying assignment by concatenating W.W, U.u, and U.X
let mut z = concat(vec![W.W.clone(), vec![U.u], U.X.clone()]);
let (num_rounds_x, num_rounds_y) = (
(pk.S.num_cons as f64).log2() as usize,
((pk.S.num_vars as f64).log2() as usize + 1),
);
// outer sum-check
let tau = (0..num_rounds_x)
.map(|_i| transcript.squeeze(b"t"))
.collect::<Result<Vec<G::Scalar>, NovaError>>()?;
let mut poly_tau = MultilinearPolynomial::new(EqPolynomial::new(tau).evals());
let (mut poly_Az, mut poly_Bz, poly_Cz, mut poly_uCz_E) = {
let (poly_Az, poly_Bz, poly_Cz) = pk.S.multiply_vec(&z)?;
let poly_uCz_E = (0..pk.S.num_cons)
.map(|i| U.u * poly_Cz[i] + W.E[i])
.collect::<Vec<G::Scalar>>();
(
MultilinearPolynomial::new(poly_Az),
MultilinearPolynomial::new(poly_Bz),
MultilinearPolynomial::new(poly_Cz),
MultilinearPolynomial::new(poly_uCz_E),
)
};
let comb_func_outer =
|poly_A_comp: &G::Scalar,
poly_B_comp: &G::Scalar,
poly_C_comp: &G::Scalar,
poly_D_comp: &G::Scalar|
-> G::Scalar { *poly_A_comp * (*poly_B_comp * *poly_C_comp - *poly_D_comp) };
let (sc_proof_outer, r_x, claims_outer) = SumcheckProof::prove_cubic_with_additive_term(
&G::Scalar::ZERO, // claim is zero
num_rounds_x,
&mut poly_tau,
&mut poly_Az,
&mut poly_Bz,
&mut poly_uCz_E,
comb_func_outer,
&mut transcript,
)?;
// claims from the end of sum-check
let (claim_Az, claim_Bz): (G::Scalar, G::Scalar) = (claims_outer[1], claims_outer[2]);
let claim_Cz = poly_Cz.evaluate(&r_x);
let eval_E = MultilinearPolynomial::new(W.E.clone()).evaluate(&r_x);
transcript.absorb(
b"claims_outer",
&[claim_Az, claim_Bz, claim_Cz, eval_E].as_slice(),
);
// inner sum-check
let r = transcript.squeeze(b"r")?;
let claim_inner_joint = claim_Az + r * claim_Bz + r * r * claim_Cz;
let poly_ABC = {
// compute the initial evaluation table for R(\tau, x)
let evals_rx = EqPolynomial::new(r_x.clone()).evals();
// Bounds "row" variables of (A, B, C) matrices viewed as 2d multilinear polynomials
let compute_eval_table_sparse =
|S: &R1CSShape<G>, rx: &[G::Scalar]| -> (Vec<G::Scalar>, Vec<G::Scalar>, Vec<G::Scalar>) {
assert_eq!(rx.len(), S.num_cons);
let inner = |M: &Vec<(usize, usize, G::Scalar)>, M_evals: &mut Vec<G::Scalar>| {
for (row, col, val) in M {
M_evals[*col] += rx[*row] * val;
}
};
let (A_evals, (B_evals, C_evals)) = rayon::join(
|| {
let mut A_evals: Vec<G::Scalar> = vec![G::Scalar::ZERO; 2 * S.num_vars];
inner(&S.A, &mut A_evals);
A_evals
},
|| {
rayon::join(
|| {
let mut B_evals: Vec<G::Scalar> = vec![G::Scalar::ZERO; 2 * S.num_vars];
inner(&S.B, &mut B_evals);
B_evals
},
|| {
let mut C_evals: Vec<G::Scalar> = vec![G::Scalar::ZERO; 2 * S.num_vars];
inner(&S.C, &mut C_evals);
C_evals
},
)
},
);
(A_evals, B_evals, C_evals)
};
let (evals_A, evals_B, evals_C) = compute_eval_table_sparse(&pk.S, &evals_rx);
assert_eq!(evals_A.len(), evals_B.len());
assert_eq!(evals_A.len(), evals_C.len());
(0..evals_A.len())
.into_par_iter()
.map(|i| evals_A[i] + r * evals_B[i] + r * r * evals_C[i])
.collect::<Vec<G::Scalar>>()
};
let poly_z = {
z.resize(pk.S.num_vars * 2, G::Scalar::ZERO);
z
};
let comb_func = |poly_A_comp: &G::Scalar, poly_B_comp: &G::Scalar| -> G::Scalar {
*poly_A_comp * *poly_B_comp
};
let (sc_proof_inner, r_y, _claims_inner) = SumcheckProof::prove_quad(
&claim_inner_joint,
num_rounds_y,
&mut MultilinearPolynomial::new(poly_ABC),
&mut MultilinearPolynomial::new(poly_z),
comb_func,
&mut transcript,
)?;
// add additional claims about W and E polynomials to the list from CC
let mut w_u_vec = Vec::new();
let eval_W = MultilinearPolynomial::evaluate_with(&W.W, &r_y[1..]);
w_u_vec.push((
PolyEvalWitness { p: W.W.clone() },
PolyEvalInstance {
c: U.comm_W,
x: r_y[1..].to_vec(),
e: eval_W,
},
));
w_u_vec.push((
PolyEvalWitness { p: W.E },
PolyEvalInstance {
c: U.comm_E,
x: r_x,
e: eval_E,
},
));
// We will now reduce a vector of claims of evaluations at different points into claims about them at the same point.
// For example, eval_W =? W(r_y[1..]) and eval_E =? E(r_x) into
// two claims: eval_W_prime =? W(rz) and eval_E_prime =? E(rz)
// We can them combine the two into one: eval_W_prime + gamma * eval_E_prime =? (W + gamma*E)(rz),
// where gamma is a public challenge
// Since commitments to W and E are homomorphic, the verifier can compute a commitment
// to the batched polynomial.
assert!(w_u_vec.len() >= 2);
let (w_vec, u_vec): (Vec<PolyEvalWitness<G>>, Vec<PolyEvalInstance<G>>) =
w_u_vec.into_iter().unzip();
let w_vec_padded = PolyEvalWitness::pad(&w_vec); // pad the polynomials to be of the same size
let u_vec_padded = PolyEvalInstance::pad(&u_vec); // pad the evaluation points
// generate a challenge
let rho = transcript.squeeze(b"r")?;
let num_claims = w_vec_padded.len();
let powers_of_rho = powers::<G>(&rho, num_claims);
let claim_batch_joint = u_vec_padded
.iter()
.zip(powers_of_rho.iter())
.map(|(u, p)| u.e * p)
.sum();
let mut polys_left: Vec<MultilinearPolynomial<G::Scalar>> = w_vec_padded
.iter()
.map(|w| MultilinearPolynomial::new(w.p.clone()))
.collect();
let mut polys_right: Vec<MultilinearPolynomial<G::Scalar>> = u_vec_padded
.iter()
.map(|u| MultilinearPolynomial::new(EqPolynomial::new(u.x.clone()).evals()))
.collect();
let num_rounds_z = u_vec_padded[0].x.len();
let comb_func = |poly_A_comp: &G::Scalar, poly_B_comp: &G::Scalar| -> G::Scalar {
*poly_A_comp * *poly_B_comp
};
let (sc_proof_batch, r_z, claims_batch) = SumcheckProof::prove_quad_batch(
&claim_batch_joint,
num_rounds_z,
&mut polys_left,
&mut polys_right,
&powers_of_rho,
comb_func,
&mut transcript,
)?;
let (claims_batch_left, _): (Vec<G::Scalar>, Vec<G::Scalar>) = claims_batch;
transcript.absorb(b"l", &claims_batch_left.as_slice());
// we now combine evaluation claims at the same point rz into one
let gamma = transcript.squeeze(b"g")?;
let powers_of_gamma: Vec<G::Scalar> = powers::<G>(&gamma, num_claims);
let comm_joint = u_vec_padded
.iter()
.zip(powers_of_gamma.iter())
.map(|(u, g_i)| u.c * *g_i)
.fold(Commitment::<G>::default(), |acc, item| acc + item);
let poly_joint = PolyEvalWitness::weighted_sum(&w_vec_padded, &powers_of_gamma);
let eval_joint = claims_batch_left
.iter()
.zip(powers_of_gamma.iter())
.map(|(e, g_i)| *e * *g_i)
.sum();
let eval_arg = EE::prove(
ck,
&pk.pk_ee,
&mut transcript,
&comm_joint,
&poly_joint.p,
&r_z,
&eval_joint,
)?;
Ok(RelaxedR1CSSNARK {
sc_proof_outer,
claims_outer: (claim_Az, claim_Bz, claim_Cz),
eval_E,
sc_proof_inner,
eval_W,
sc_proof_batch,
evals_batch: claims_batch_left,
eval_arg,
})
}
/// verifies a proof of satisfiability of a RelaxedR1CS instance
fn verify(&self, vk: &Self::VerifierKey, U: &RelaxedR1CSInstance<G>) -> Result<(), NovaError> {
let mut transcript = G::TE::new(b"RelaxedR1CSSNARK");
// append the digest of R1CS matrices and the RelaxedR1CSInstance to the transcript
transcript.absorb(b"vk", &vk.digest);
transcript.absorb(b"U", U);
let (num_rounds_x, num_rounds_y) = (
(vk.S.num_cons as f64).log2() as usize,
((vk.S.num_vars as f64).log2() as usize + 1),
);
// outer sum-check
let tau = (0..num_rounds_x)
.map(|_i| transcript.squeeze(b"t"))
.collect::<Result<Vec<G::Scalar>, NovaError>>()?;
let (claim_outer_final, r_x) =
self
.sc_proof_outer
.verify(G::Scalar::ZERO, num_rounds_x, 3, &mut transcript)?;
// verify claim_outer_final
let (claim_Az, claim_Bz, claim_Cz) = self.claims_outer;
let taus_bound_rx = EqPolynomial::new(tau).evaluate(&r_x);
let claim_outer_final_expected =
taus_bound_rx * (claim_Az * claim_Bz - U.u * claim_Cz - self.eval_E);
if claim_outer_final != claim_outer_final_expected {
return Err(NovaError::InvalidSumcheckProof);
}
transcript.absorb(
b"claims_outer",
&[
self.claims_outer.0,
self.claims_outer.1,
self.claims_outer.2,
self.eval_E,
]
.as_slice(),
);
// inner sum-check
let r = transcript.squeeze(b"r")?;
let claim_inner_joint =
self.claims_outer.0 + r * self.claims_outer.1 + r * r * self.claims_outer.2;
let (claim_inner_final, r_y) =
self
.sc_proof_inner
.verify(claim_inner_joint, num_rounds_y, 2, &mut transcript)?;
// verify claim_inner_final
let eval_Z = {
let eval_X = {
// constant term
let mut poly_X = vec![(0, U.u)];
//remaining inputs
poly_X.extend(
(0..U.X.len())
.map(|i| (i + 1, U.X[i]))
.collect::<Vec<(usize, G::Scalar)>>(),
);
SparsePolynomial::new((vk.S.num_vars as f64).log2() as usize, poly_X).evaluate(&r_y[1..])
};
(G::Scalar::ONE - r_y[0]) * self.eval_W + r_y[0] * eval_X
};
// compute evaluations of R1CS matrices
let multi_evaluate = |M_vec: &[&[(usize, usize, G::Scalar)]],
r_x: &[G::Scalar],
r_y: &[G::Scalar]|
-> Vec<G::Scalar> {
let evaluate_with_table =
|M: &[(usize, usize, G::Scalar)], T_x: &[G::Scalar], T_y: &[G::Scalar]| -> G::Scalar {
(0..M.len())
.collect::<Vec<usize>>()
.par_iter()
.map(|&i| {
let (row, col, val) = M[i];
T_x[row] * T_y[col] * val
})
.reduce(|| G::Scalar::ZERO, |acc, x| acc + x)
};
let (T_x, T_y) = rayon::join(
|| EqPolynomial::new(r_x.to_vec()).evals(),
|| EqPolynomial::new(r_y.to_vec()).evals(),
);
(0..M_vec.len())
.collect::<Vec<usize>>()
.par_iter()
.map(|&i| evaluate_with_table(M_vec[i], &T_x, &T_y))
.collect()
};
let evals = multi_evaluate(&[&vk.S.A, &vk.S.B, &vk.S.C], &r_x, &r_y);
let claim_inner_final_expected = (evals[0] + r * evals[1] + r * r * evals[2]) * eval_Z;
if claim_inner_final != claim_inner_final_expected {
return Err(NovaError::InvalidSumcheckProof);
}
// add claims about W and E polynomials
let u_vec: Vec<PolyEvalInstance<G>> = vec![
PolyEvalInstance {
c: U.comm_W,
x: r_y[1..].to_vec(),
e: self.eval_W,
},
PolyEvalInstance {
c: U.comm_E,
x: r_x,
e: self.eval_E,
},
];
let u_vec_padded = PolyEvalInstance::pad(&u_vec); // pad the evaluation points
// generate a challenge
let rho = transcript.squeeze(b"r")?;
let num_claims = u_vec.len();
let powers_of_rho = powers::<G>(&rho, num_claims);
let claim_batch_joint = u_vec
.iter()
.zip(powers_of_rho.iter())
.map(|(u, p)| u.e * p)
.sum();
let num_rounds_z = u_vec_padded[0].x.len();
let (claim_batch_final, r_z) =
self
.sc_proof_batch
.verify(claim_batch_joint, num_rounds_z, 2, &mut transcript)?;
let claim_batch_final_expected = {
let poly_rz = EqPolynomial::new(r_z.clone());
let evals = u_vec_padded
.iter()
.map(|u| poly_rz.evaluate(&u.x))
.collect::<Vec<G::Scalar>>();
evals
.iter()
.zip(self.evals_batch.iter())
.zip(powers_of_rho.iter())
.map(|((e_i, p_i), rho_i)| *e_i * *p_i * rho_i)
.sum()
};
if claim_batch_final != claim_batch_final_expected {
return Err(NovaError::InvalidSumcheckProof);
}
transcript.absorb(b"l", &self.evals_batch.as_slice());
// we now combine evaluation claims at the same point rz into one
let gamma = transcript.squeeze(b"g")?;
let powers_of_gamma: Vec<G::Scalar> = powers::<G>(&gamma, num_claims);
let comm_joint = u_vec_padded
.iter()
.zip(powers_of_gamma.iter())
.map(|(u, g_i)| u.c * *g_i)
.fold(Commitment::<G>::default(), |acc, item| acc + item);
let eval_joint = self
.evals_batch
.iter()
.zip(powers_of_gamma.iter())
.map(|(e, g_i)| *e * *g_i)
.sum();
// verify
EE::verify(
&vk.vk_ee,
&mut transcript,
&comm_joint,
&r_z,
&eval_joint,
&self.eval_arg,
)?;
Ok(())
}
}

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