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Revert "integrated batch inverse in fib cpu (#448)"
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This reverts commit 3658aa0.
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spapinistarkware committed Mar 19, 2024
1 parent 7751c2a commit 56a8894
Showing 1 changed file with 34 additions and 165 deletions.
199 changes: 34 additions & 165 deletions src/fibonacci/component.rs
Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
use std::ops::Div;

use num_traits::{One, Zero};
use num_traits::One;

use crate::core::air::evaluation::{DomainEvaluationAccumulator, PointEvaluationAccumulator};
use crate::core::air::{Component, ComponentTrace, Mask};
Expand All @@ -10,7 +10,7 @@ use crate::core::constraints::{coset_vanishing, pair_vanishing};
use crate::core::fields::m31::BaseField;
use crate::core::fields::qm31::SecureField;
use crate::core::fields::{ExtensionOf, FieldExpOps};
use crate::core::poly::circle::{CanonicCoset, CircleDomain, CircleEvaluation};
use crate::core::poly::circle::{CanonicCoset, CircleDomain};
use crate::core::utils::bit_reverse_index;
use crate::core::ColumnVec;

Expand All @@ -31,21 +31,6 @@ impl FibonacciComponent {
&self,
point: CirclePoint<F>,
mask: &[F; 3],
) -> F {
let num = self.step_constraint_numerator(point, mask);
let denom = self.step_constraint_denominator(point);
num / denom
}

fn step_constraint_denominator<F: ExtensionOf<BaseField>>(&self, point: CirclePoint<F>) -> F {
let constraint_zero_domain = Coset::subgroup(self.log_size);
coset_vanishing(constraint_zero_domain, point)
}

fn step_constraint_numerator<F: ExtensionOf<BaseField>>(
&self,
point: CirclePoint<F>,
mask: &[F; 3],
) -> F {
let constraint_zero_domain = Coset::subgroup(self.log_size);
let constraint_value = mask[0].square() + mask[1].square() - mask[2];
Expand All @@ -58,58 +43,52 @@ impl FibonacciComponent {
.into_ef(),
point,
);
constraint_value * selector
let num = constraint_value * selector;
let denom = coset_vanishing(constraint_zero_domain, point);
num / denom
}

/// Evaluates the boundary constraint quotient polynomial on a single point.
fn boundary_constraint_eval_quotient_by_mask<F: ExtensionOf<BaseField>>(
&self,
point: CirclePoint<F>,
mask: &[F; 1],
) -> F {
let num = self.boundary_constraint_numerator(point, mask);
let denom = self.boundary_constraint_denominator(point);
num / denom
}

fn boundary_constraint_numerator<F: ExtensionOf<BaseField>>(
&self,
point: CirclePoint<F>,
mask: &[F; 1],
) -> F {
let constraint_zero_domain = Coset::subgroup(self.log_size);
let p = constraint_zero_domain.at(constraint_zero_domain.size() - 1);

// On (1,0), we should get 1.
// On p, we should get self.claim.
// 1 + y * (self.claim - 1) * p.y^-1
// TODO(spapini): Cache the constant.
let linear = F::one() + point.y * (self.claim - BaseField::one()) * p.y.inverse();

mask[0] - linear
let num = mask[0] - linear;
let denom = pair_vanishing(p.into_ef(), CirclePoint::zero(), point);
num / denom
}
}

impl Component<CPUBackend> for FibonacciComponent {
fn max_constraint_log_degree_bound(&self) -> u32 {
// Step constraint is of degree 2.
self.log_size + 1
}

fn boundary_constraint_denominator<F: ExtensionOf<BaseField>>(
&self,
point: CirclePoint<F>,
) -> F {
let constraint_zero_domain = Coset::subgroup(self.log_size);
let p = constraint_zero_domain.at(constraint_zero_domain.size() - 1);
pair_vanishing(p.into_ef(), CirclePoint::zero(), point)
fn trace_log_degree_bounds(&self) -> Vec<u32> {
vec![self.log_size]
}
}

// TODO(Ohad): extract some of the routine to trait functions.
impl FibonacciComponent
where
FibonacciComponent: Component<CPUBackend>,
{
fn accumulate_step_constraint(
fn evaluate_constraint_quotients_on_domain(
&self,
trace_domain: CanonicCoset,
trace_eval: &CircleEvaluation<CPUBackend, BaseField>,
trace: &ComponentTrace<'_, CPUBackend>,
evaluation_accumulator: &mut DomainEvaluationAccumulator<CPUBackend>,
) {
let poly = &trace.columns[0];
let trace_domain = CanonicCoset::new(self.log_size);
let trace_eval_domain = trace_domain.evaluation_domain(self.log_size + 1);
let trace_eval = poly.evaluate(trace_eval_domain).bit_reverse();

// Step constraint.
let constraint_log_degree_bound = trace_domain.log_size() + 1;
let [mut accum] = evaluation_accumulator.columns([(constraint_log_degree_bound, 1)]);
let constraint_eval_domain =
Expand All @@ -123,59 +102,14 @@ where
] {
let eval = trace_eval.fetch_eval_on_coset(point_coset.shift(trace_domain.index_at(0)));
let mul = trace_domain.step_size().div(point_coset.step_size);

// if the job is smaller than the chunk size, fallback to unoptimized version.
if point_coset.size() < CPU_CHUNK_SIZE {
for (i, point) in point_coset.iter().enumerate() {
let mask = [eval[i], eval[i as isize + mul], eval[i as isize + 2 * mul]];
let res = self.step_constraint_eval_quotient_by_mask(point, &mask);
accum.accumulate(bit_reverse_index(i + off, constraint_log_degree_bound), res);
}
} else {
for chunk in point_coset
.iter()
.enumerate()
.array_chunks::<CPU_CHUNK_SIZE>()
{
// Collect denominators and inverse.
let mut buff: [BaseField; CPU_CHUNK_SIZE] = std::array::from_fn(|i| {
let point = chunk[i].1;
self.step_constraint_denominator(point)
});
let mut inverses_buff = [BaseField::zero(); CPU_CHUNK_SIZE];
BaseField::batch_inverse(&buff, &mut inverses_buff);

// Collect numerators.
buff = std::array::from_fn(|i| {
let (idx, point) = chunk[i];
self.step_constraint_numerator(
point,
&[
eval[idx],
eval[idx as isize + mul],
eval[idx as isize + 2 * mul],
],
)
});

for (i, (num, inv_denom)) in buff.iter().zip(inverses_buff.iter()).enumerate() {
let idx = chunk[i].0 + off;
accum.accumulate(
bit_reverse_index(idx, constraint_log_degree_bound),
*num * *inv_denom,
);
}
}
for (i, point) in point_coset.iter().enumerate() {
let mask = [eval[i], eval[i as isize + mul], eval[i as isize + 2 * mul]];
let res = self.step_constraint_eval_quotient_by_mask(point, &mask);
accum.accumulate(bit_reverse_index(i + off, constraint_log_degree_bound), res);
}
}
}

fn accumulate_boundary_constraint(
&self,
trace_domain: CanonicCoset,
trace_eval: &CircleEvaluation<CPUBackend, BaseField>,
evaluation_accumulator: &mut DomainEvaluationAccumulator<CPUBackend>,
) {
// Boundary constraint.
let constraint_log_degree_bound = trace_domain.log_size();
let [mut accum] = evaluation_accumulator.columns([(constraint_log_degree_bound, 1)]);
let constraint_eval_domain =
Expand All @@ -188,78 +122,13 @@ where
),
] {
let eval = trace_eval.fetch_eval_on_coset(point_coset.shift(trace_domain.index_at(0)));
// if the job is smaller than the chunk size, fallback to unoptimized version.
// TODO(Ohad): turn the entire thing to a generic function and call f::<1>() in that
// case.
if point_coset.size() < CPU_CHUNK_SIZE {
for (i, point) in point_coset.iter().enumerate() {
let mask = [eval[i]];
let res = self.boundary_constraint_eval_quotient_by_mask(point, &mask);
accum.accumulate(bit_reverse_index(i + off, constraint_log_degree_bound), res);
}
} else {
for chunk in point_coset
.iter()
.enumerate()
.array_chunks::<CPU_CHUNK_SIZE>()
{
// Collect denominators and inverse.
let mut buff: [BaseField; CPU_CHUNK_SIZE] = std::array::from_fn(|i| {
let (_, point) = chunk[i];
Self::boundary_constraint_denominator(self, point)
});
let mut inversed_buff = [BaseField::zero(); CPU_CHUNK_SIZE];
BaseField::batch_inverse(&buff, &mut inversed_buff);

// Collect numerators.
buff = std::array::from_fn(|i| {
let (idx, point) = chunk[i];
Self::boundary_constraint_numerator(self, point, &[eval[idx]])
});

for (i, (num, inv_denom)) in buff.iter().zip(inversed_buff.iter()).enumerate() {
let idx = chunk[i].0 + off;
accum.accumulate(
bit_reverse_index(idx, constraint_log_degree_bound),
*num * *inv_denom,
);
}
}
for (i, point) in point_coset.iter().enumerate() {
let mask = [eval[i]];
let res = self.boundary_constraint_eval_quotient_by_mask(point, &mask);
accum.accumulate(bit_reverse_index(i + off, constraint_log_degree_bound), res);
}
}
}
}

// TODO(Ohad): figure out optimal chunk size.
const CPU_CHUNK_LOG_SIZE: usize = 8;
const CPU_CHUNK_SIZE: usize = 1 << CPU_CHUNK_LOG_SIZE;

impl Component<CPUBackend> for FibonacciComponent {
fn max_constraint_log_degree_bound(&self) -> u32 {
// Step constraint is of degree 2.
self.log_size + 1
}

fn trace_log_degree_bounds(&self) -> Vec<u32> {
vec![self.log_size]
}

fn evaluate_constraint_quotients_on_domain(
&self,
trace: &ComponentTrace<'_, CPUBackend>,
evaluation_accumulator: &mut DomainEvaluationAccumulator<CPUBackend>,
) {
let poly = &trace.columns[0];
let trace_domain = CanonicCoset::new(self.log_size);
let trace_eval_domain = trace_domain.evaluation_domain(self.log_size + 1);
let trace_eval = poly.evaluate(trace_eval_domain).bit_reverse();

// Step constraint.
self.accumulate_step_constraint(trace_domain, &trace_eval, evaluation_accumulator);

// Boundary constraint.
self.accumulate_boundary_constraint(trace_domain, &trace_eval, evaluation_accumulator);
}

fn mask(&self) -> Mask {
Mask(vec![vec![0, 1, 2]])
Expand Down

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