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Implement QuotientOps for SIMD backend (#605)
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use std::iter::zip; | ||
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use itertools::izip; | ||
use num_traits::{One, Zero}; | ||
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use super::column::SecureFieldVec; | ||
use super::m31::{PackedBaseField, LOG_N_LANES, N_LANES}; | ||
use super::qm31::PackedSecureField; | ||
use super::SimdBackend; | ||
use crate::core::backend::cpu::quotients::{ | ||
batch_random_coeffs, column_line_coeffs, QuotientConstants, | ||
}; | ||
use crate::core::backend::{Col, Column}; | ||
use crate::core::circle::CirclePoint; | ||
use crate::core::fields::m31::BaseField; | ||
use crate::core::fields::qm31::SecureField; | ||
use crate::core::fields::secure_column::SecureColumn; | ||
use crate::core::fields::FieldOps; | ||
use crate::core::pcs::quotients::{ColumnSampleBatch, QuotientOps}; | ||
use crate::core::poly::circle::{CircleDomain, CircleEvaluation, SecureEvaluation}; | ||
use crate::core::poly::BitReversedOrder; | ||
use crate::core::utils::bit_reverse_index; | ||
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impl QuotientOps for SimdBackend { | ||
fn accumulate_quotients( | ||
domain: CircleDomain, | ||
columns: &[&CircleEvaluation<Self, BaseField, BitReversedOrder>], | ||
random_coeff: SecureField, | ||
sample_batches: &[ColumnSampleBatch], | ||
) -> SecureEvaluation<Self> { | ||
assert!(domain.log_size() >= LOG_N_LANES); | ||
let mut values = SecureColumn::<Self>::zeros(domain.size()); | ||
let quotient_constants = quotient_constants(sample_batches, random_coeff, domain); | ||
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// TODO(spapini): bit reverse iterator. | ||
for vec_row in 0..1 << (domain.log_size() - LOG_N_LANES) { | ||
// TODO(spapini): Optimize this, for the small number of columns case. | ||
let points = std::array::from_fn(|i| { | ||
domain.at(bit_reverse_index( | ||
(vec_row << LOG_N_LANES) + i, | ||
domain.log_size(), | ||
)) | ||
}); | ||
let domain_points_x = PackedBaseField::from_array(points.map(|p| p.x)); | ||
let domain_points_y = PackedBaseField::from_array(points.map(|p| p.y)); | ||
let row_accumulator = accumulate_row_quotients( | ||
sample_batches, | ||
columns, | ||
"ient_constants, | ||
vec_row, | ||
(domain_points_x, domain_points_y), | ||
); | ||
unsafe { values.set_packed(vec_row, row_accumulator) }; | ||
} | ||
SecureEvaluation { domain, values } | ||
} | ||
} | ||
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// TODO(Ohad): no longer using pair_vanishing, remove domain_point_vec and line_coeffs, or write a | ||
// function that deals with quotients over pair_vanishing polynomials. | ||
pub fn accumulate_row_quotients( | ||
sample_batches: &[ColumnSampleBatch], | ||
columns: &[&CircleEvaluation<SimdBackend, BaseField, BitReversedOrder>], | ||
quotient_constants: &QuotientConstants<SimdBackend>, | ||
vec_row: usize, | ||
_domain_point_vec: (PackedBaseField, PackedBaseField), | ||
) -> PackedSecureField { | ||
let mut row_accumulator = PackedSecureField::zero(); | ||
for (sample_batch, _, batch_coeff, denominator_inverses) in izip!( | ||
sample_batches, | ||
"ient_constants.line_coeffs, | ||
"ient_constants.batch_random_coeffs, | ||
"ient_constants.denominator_inverses | ||
) { | ||
let mut numerator = PackedSecureField::zero(); | ||
for (column_index, sampled_value) in sample_batch.columns_and_values.iter() { | ||
let column = &columns[*column_index]; | ||
let value = column.data[vec_row]; | ||
numerator += PackedSecureField::broadcast(-*sampled_value) + value; | ||
} | ||
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row_accumulator = row_accumulator * PackedSecureField::broadcast(*batch_coeff) | ||
+ numerator * denominator_inverses.data[vec_row]; | ||
} | ||
row_accumulator | ||
} | ||
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/// Point vanishing for the packed representation of the points. skips the division. | ||
/// See [crate::core::constraints::point_vanishing_fraction] for more details. | ||
fn packed_point_vanishing_fraction( | ||
excluded: CirclePoint<SecureField>, | ||
p: (PackedBaseField, PackedBaseField), | ||
) -> (PackedSecureField, PackedSecureField) { | ||
let e_conjugate = excluded.conjugate(); | ||
let h_x = PackedSecureField::broadcast(e_conjugate.x) * p.0 | ||
- PackedSecureField::broadcast(e_conjugate.y) * p.1; | ||
let h_y = PackedSecureField::broadcast(e_conjugate.y) * p.0 | ||
+ PackedSecureField::broadcast(e_conjugate.x) * p.1; | ||
(h_y, PackedSecureField::one() + h_x) | ||
} | ||
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fn denominator_inverses( | ||
sample_batches: &[ColumnSampleBatch], | ||
domain: CircleDomain, | ||
) -> Vec<Col<SimdBackend, SecureField>> { | ||
let mut numerators = Vec::new(); | ||
let mut denominators = Vec::new(); | ||
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for sample_batch in sample_batches { | ||
for vec_row in 0..1 << (domain.log_size() - LOG_N_LANES) { | ||
// TODO(spapini): Optimize this, for the small number of columns case. | ||
let points = std::array::from_fn(|i| { | ||
domain.at(bit_reverse_index( | ||
(vec_row << LOG_N_LANES) + i, | ||
domain.log_size(), | ||
)) | ||
}); | ||
let domain_points_x = PackedBaseField::from_array(points.map(|p| p.x)); | ||
let domain_points_y = PackedBaseField::from_array(points.map(|p| p.y)); | ||
let domain_point_vec = (domain_points_x, domain_points_y); | ||
let (denominator, numerator) = | ||
packed_point_vanishing_fraction(sample_batch.point, domain_point_vec); | ||
denominators.push(denominator); | ||
numerators.push(numerator); | ||
} | ||
} | ||
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let denominators = SecureFieldVec { | ||
length: denominators.len() * N_LANES, | ||
data: denominators, | ||
}; | ||
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let numerators = SecureFieldVec { | ||
length: numerators.len() * N_LANES, | ||
data: numerators, | ||
}; | ||
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let mut flat_denominator_inverses = SecureFieldVec::zeros(denominators.len()); | ||
<SimdBackend as FieldOps<SecureField>>::batch_inverse( | ||
&denominators, | ||
&mut flat_denominator_inverses, | ||
); | ||
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zip(&mut flat_denominator_inverses.data, &numerators.data) | ||
.for_each(|(inv, denom_denom)| *inv *= *denom_denom); | ||
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flat_denominator_inverses | ||
.data | ||
.chunks(domain.size() / N_LANES) | ||
.map(|denominator_inverses| denominator_inverses.iter().copied().collect()) | ||
.collect() | ||
} | ||
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fn quotient_constants( | ||
sample_batches: &[ColumnSampleBatch], | ||
random_coeff: SecureField, | ||
domain: CircleDomain, | ||
) -> QuotientConstants<SimdBackend> { | ||
let line_coeffs = column_line_coeffs(sample_batches, random_coeff); | ||
let batch_random_coeffs = batch_random_coeffs(sample_batches, random_coeff); | ||
let denominator_inverses = denominator_inverses(sample_batches, domain); | ||
QuotientConstants { | ||
line_coeffs, | ||
batch_random_coeffs, | ||
denominator_inverses, | ||
} | ||
} | ||
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#[cfg(test)] | ||
mod tests { | ||
use itertools::Itertools; | ||
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use crate::core::backend::simd::column::BaseFieldVec; | ||
use crate::core::backend::simd::SimdBackend; | ||
use crate::core::backend::{CPUBackend, Column}; | ||
use crate::core::circle::SECURE_FIELD_CIRCLE_GEN; | ||
use crate::core::fields::m31::BaseField; | ||
use crate::core::pcs::quotients::{ColumnSampleBatch, QuotientOps}; | ||
use crate::core::poly::circle::{CanonicCoset, CircleEvaluation}; | ||
use crate::core::poly::BitReversedOrder; | ||
use crate::qm31; | ||
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#[test] | ||
fn test_accumulate_quotients() { | ||
const LOG_SIZE: u32 = 8; | ||
let domain = CanonicCoset::new(LOG_SIZE).circle_domain(); | ||
let e0: BaseFieldVec = (0..domain.size()).map(BaseField::from).collect(); | ||
let e1: BaseFieldVec = (0..domain.size()).map(|i| BaseField::from(2 * i)).collect(); | ||
let columns = vec![ | ||
CircleEvaluation::<SimdBackend, BaseField, BitReversedOrder>::new(domain, e0), | ||
CircleEvaluation::<SimdBackend, BaseField, BitReversedOrder>::new(domain, e1), | ||
]; | ||
let random_coeff = qm31!(1, 2, 3, 4); | ||
let a = qm31!(3, 6, 9, 12); | ||
let b = qm31!(4, 8, 12, 16); | ||
let samples = vec![ColumnSampleBatch { | ||
point: SECURE_FIELD_CIRCLE_GEN, | ||
columns_and_values: vec![(0, a), (1, b)], | ||
}]; | ||
let cpu_columns = columns | ||
.iter() | ||
.map(|c| { | ||
CircleEvaluation::<CPUBackend, _, BitReversedOrder>::new( | ||
c.domain, | ||
c.values.to_cpu(), | ||
) | ||
}) | ||
.collect::<Vec<_>>(); | ||
let cpu_result = CPUBackend::accumulate_quotients( | ||
domain, | ||
&cpu_columns.iter().collect_vec(), | ||
random_coeff, | ||
&samples, | ||
) | ||
.values | ||
.to_vec(); | ||
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let res = SimdBackend::accumulate_quotients( | ||
domain, | ||
&columns.iter().collect_vec(), | ||
random_coeff, | ||
&samples, | ||
) | ||
.values | ||
.to_vec(); | ||
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assert_eq!(res, cpu_result); | ||
} | ||
} |