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rework as discussed

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This commit is contained in:
Jean-Philippe Bossuat
2025-05-05 17:35:35 +02:00
parent bd105497fd
commit ffa363804b
16 changed files with 1154 additions and 1153 deletions
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43
base2k/examples/rlwe_encrypt.rs
View File

@@ -1,6 +1,7 @@
use base2k::{
Encoding, FFT64, Module, Sampling, ScalarAlloc, ScalarZnxDftAlloc, ScalarZnxDftOps, ScratchOwned, VecZnxAlloc, VecZnxBigOps,
VecZnxBigScratch, VecZnxDftAlloc, VecZnxDftOps, ZnxInfos,
Encoding, FFT64, Module, Sampling, Scalar, ScalarAlloc, ScalarZnxDft, ScalarZnxDftAlloc, ScalarZnxDftOps, ScratchOwned,
VecZnx, VecZnxAlloc, VecZnxBig, VecZnxBigAlloc, VecZnxBigOps, VecZnxBigScratch, VecZnxDft, VecZnxDftAlloc, VecZnxDftOps,
VecZnxOps, ZnxInfos,
};
use itertools::izip;
use sampling::source::Source;
@@ -13,24 +14,23 @@ fn main() {
let log_scale: usize = msg_size * log_base2k - 5;
let module: Module<FFT64> = Module::<FFT64>::new(n);
let mut scratch =
ScratchOwned::new((2 * module.bytes_of_vec_znx_dft(1, ct_size)) + 2 * module.vec_znx_big_normalize_tmp_bytes());
let mut scratch: ScratchOwned = ScratchOwned::new(module.vec_znx_big_normalize_tmp_bytes());
let seed: [u8; 32] = [0; 32];
let mut source: Source = Source::new(seed);
// s <- Z_{-1, 0, 1}[X]/(X^{N}+1)
let mut s = module.new_scalar(1);
let mut s: Scalar<Vec<u8>> = module.new_scalar(1);
s.fill_ternary_prob(0, 0.5, &mut source);
// Buffer to store s in the DFT domain
let mut s_dft = module.new_scalar_znx_dft(s.cols());
let mut s_dft: ScalarZnxDft<Vec<u8>, FFT64> = module.new_scalar_znx_dft(s.cols());
// s_dft <- DFT(s)
module.svp_prepare(&mut s_dft, 0, &s, 0);
// Allocates a VecZnx with two columns: ct=(0, 0)
let mut ct = module.new_vec_znx(
let mut ct: VecZnx<Vec<u8>> = module.new_vec_znx(
2, // Number of columns
ct_size, // Number of small poly per column
);
@@ -38,12 +38,10 @@ fn main() {
// Fill the second column with random values: ct = (0, a)
module.fill_uniform(log_base2k, &mut ct, 1, ct_size, &mut source);
// Scratch space for DFT values
let scratch = scratch.borrow();
let (mut buf_dft, scratch) = scratch.tmp_vec_znx_dft(&module, 1, ct_size);
let mut buf_dft: VecZnxDft<Vec<u8>, FFT64> = module.new_vec_znx_dft(1, ct_size);
// Applies DFT(ct[1]) * DFT(s)
module.svp_apply_dft(
module.svp_apply(
&mut buf_dft, // DFT(ct[1] * s)
0, // Selects the first column of res
&s_dft, // DFT(s)
@@ -53,11 +51,10 @@ fn main() {
);
// Alias scratch space (VecZnxDft<B> is always at least as big as VecZnxBig<B>)
let (mut buf_big, scratch) = scratch.tmp_vec_znx_big(&module, 1, ct_size);
// BIG(ct[1] * s) <- IDFT(DFT(ct[1] * s)) (not normalized)
// Note: Since `vec_znx_idft_tmp_a` takes no argument for generic `Data` a full qualified path seems necessary
<Module<_> as VecZnxDftOps<_, &[u8], _>>::vec_znx_idft_tmp_a(&module, &mut buf_big, 0, &mut buf_dft, 0);
let mut buf_big: VecZnxBig<Vec<u8>, FFT64> = module.new_vec_znx_big(1, ct_size);
module.vec_znx_idft_tmp_a(&mut buf_big, 0, &mut buf_dft, 0);
// Creates a plaintext: VecZnx with 1 column
let mut m = module.new_vec_znx(
@@ -68,8 +65,7 @@ fn main() {
want.iter_mut()
.for_each(|x| *x = source.next_u64n(16, 15) as i64);
m.encode_vec_i64(0, log_base2k, log_scale, &want, 4);
let (tmp_bytes_norm, scratch) = scratch.tmp_scalar_slice(n * std::mem::size_of::<i64>());
m.normalize(log_base2k, 0, tmp_bytes_norm);
module.vec_znx_normalize_inplace(log_base2k, &mut m, 0, scratch.borrow());
// m - BIG(ct[1] * s)
module.vec_znx_big_sub_small_b_inplace(
@@ -82,9 +78,12 @@ fn main() {
// Normalizes back to VecZnx
// ct[0] <- m - BIG(c1 * s)
module.vec_znx_big_normalize(
log_base2k, &mut ct, 0, // Selects the first column of ct (ct[0])
&buf_big, 0, // Selects the first column of buf_big
scratch,
log_base2k,
&mut ct,
0, // Selects the first column of ct (ct[0])
&buf_big,
0, // Selects the first column of buf_big
scratch.borrow(),
);
// Add noise to ct[0]
@@ -104,7 +103,7 @@ fn main() {
// Decryption
// DFT(ct[1] * s)
module.svp_apply_dft(
module.svp_apply(
&mut buf_dft,
0, // Selects the first column of res.
&s_dft,
@@ -114,14 +113,14 @@ fn main() {
);
// BIG(c1 * s) = IDFT(DFT(c1 * s))
<Module<_> as VecZnxDftOps<_, &[u8], _>>::vec_znx_idft_tmp_a(&module, &mut buf_big, 0, &mut buf_dft, 0);
module.vec_znx_idft_tmp_a(&mut buf_big, 0, &mut buf_dft, 0);
// BIG(c1 * s) + ct[0]
module.vec_znx_big_add_small_inplace(&mut buf_big, 0, &ct, 0);
// m + e <- BIG(ct[1] * s + ct[0])
let mut res = module.new_vec_znx(1, ct_size);
module.vec_znx_big_normalize(log_base2k, &mut res, 0, &buf_big, 0, scratch);
module.vec_znx_big_normalize(log_base2k, &mut res, 0, &buf_big, 0, scratch.borrow());
// have = m * 2^{log_scale} + e
let mut have: Vec<i64> = vec![i64::default(); n];

78
base2k/examples/vmp.rs
View File

@@ -1,78 +0,0 @@
// use base2k::{
// Encoding, FFT64, MatZnxDft, MatZnxDftOps, Module, VecZnx, VecZnxBig, VecZnxBigOps, VecZnxDft, VecZnxDftOps, VecZnxOps,
// ZnxInfos, ZnxLayout, alloc_aligned,
// };
fn main() {
// let log_n: i32 = 5;
// let n: usize = 1 << log_n;
// let module: Module<FFT64> = Module::<FFT64>::new(n);
// let log_base2k: usize = 15;
// let a_cols: usize = 2;
// let a_size: usize = 5;
// let log_k: usize = log_base2k * a_size - 5;
// let mat_rows: usize = a_size;
// let mat_cols_in: usize = a_cols;
// let mat_cols_out: usize = 2;
// let mat_size: usize = a_size + 1;
// let mut tmp_bytes_vmp: Vec<u8> = alloc_aligned(
// module.vmp_prepare_row_tmp_bytes(mat_cols_out, mat_size)
// | module.vmp_apply_dft_tmp_bytes(
// a_size,
// a_size,
// mat_rows,
// mat_cols_in,
// mat_cols_out,
// mat_size,
// ),
// );
// let mut tmp_bytes_dft: Vec<u8> = alloc_aligned(module.bytes_of_vec_znx_dft(mat_cols_out, mat_size));
// let mut a: VecZnx = module.new_vec_znx(a_cols, a_size);
// (0..a_cols).for_each(|i| {
// let mut values: Vec<i64> = vec![i64::default(); n];
// values[1 + i] = (1 << log_base2k) + 1;
// a.encode_vec_i64(i, log_base2k, log_k, &values, 32);
// a.normalize(log_base2k, i, &mut tmp_bytes_vmp);
// a.print(n, i);
// println!();
// });
// let mut mat_znx_dft: MatZnxDft<FFT64> = module.new_mat_znx_dft(mat_rows, mat_cols_in, mat_cols_out, mat_size);
// (0..a.size()).for_each(|row_i| {
// let mut tmp: VecZnx = module.new_vec_znx(mat_cols_out, mat_size);
// (0..mat_cols_out).for_each(|j| {
// tmp.at_mut(j, row_i)[1 + j] = 1 as i64;
// });
// (0..mat_cols_in).for_each(|j| {
// module.vmp_prepare_row(&mut mat_znx_dft, row_i, j, &tmp, &mut tmp_bytes_vmp);
// })
// });
// let mut c_dft: VecZnxDft<FFT64> = module.new_vec_znx_dft_from_bytes_borrow(mat_cols_out, mat_size, &mut tmp_bytes_dft);
// module.vmp_apply_dft(&mut c_dft, &a, &mat_znx_dft, &mut tmp_bytes_vmp);
// let mut res: VecZnx = module.new_vec_znx(mat_cols_out, a_size);
// let mut c_big: VecZnxBig<FFT64> = c_dft.alias_as_vec_znx_big();
// (0..mat_cols_out).for_each(|i| {
// module.vec_znx_idft_tmp_a(&mut c_big, i, &mut c_dft, i);
// module.vec_znx_big_normalize(log_base2k, &mut res, i, &c_big, i, &mut tmp_bytes_vmp);
// let mut values_res: Vec<i64> = vec![i64::default(); n];
// res.decode_vec_i64(i, log_base2k, log_k, &mut values_res);
// res.print(n, i);
// println!();
// println!("{:?}", values_res);
// println!();
// });
// module.free();
}

8
base2k/src/lib.rs
View File

@@ -215,4 +215,12 @@ impl Scratch {
Self::new(rem_slice),
)
}
pub fn tmp_vec_znx<B: Backend>(&mut self, module: &Module<B>, cols: usize, size: usize) -> (VecZnx<&mut [u8]>, &mut Self) {
let (take_slice, rem_slice) = Self::take_slice_aligned(&mut self.data, module.bytes_of_vec_znx(cols, size));
(
VecZnx::from_data(take_slice, module.n(), cols, size),
Self::new(rem_slice),
)
}
}

88
base2k/src/mat_znx_dft.rs
View File

@@ -1,5 +1,5 @@
use crate::znx_base::ZnxInfos;
use crate::{Backend, DataView, DataViewMut, FFT64, Module, ZnxView, alloc_aligned};
use crate::{Backend, DataView, DataViewMut, FFT64, Module, ZnxSliceSize, ZnxView, alloc_aligned};
use std::marker::PhantomData;
/// Vector Matrix Product Prepared Matrix: a vector of [VecZnx],
@@ -8,17 +8,17 @@ use std::marker::PhantomData;
///
/// [MatZnxDft] is used to permform a vector matrix product between a [VecZnx]/[VecZnxDft] and a [MatZnxDft].
/// See the trait [MatZnxDftOps] for additional information.
pub struct MatZnxDft<D, B> {
pub struct MatZnxDft<D, B: Backend> {
data: D,
n: usize,
size: usize,
rows: usize,
cols_in: usize,
cols_out: usize,
_marker: PhantomData<B>,
_phantom: PhantomData<B>,
}
impl<D, B> ZnxInfos for MatZnxDft<D, B> {
impl<D, B: Backend> ZnxInfos for MatZnxDft<D, B> {
fn cols(&self) -> usize {
self.cols_in
}
@@ -34,20 +34,22 @@ impl<D, B> ZnxInfos for MatZnxDft<D, B> {
fn size(&self) -> usize {
self.size
}
}
impl<D> ZnxSliceSize for MatZnxDft<D, FFT64> {
fn sl(&self) -> usize {
self.n()
self.n() * self.cols_out()
}
}
impl<D, B> DataView for MatZnxDft<D, B> {
impl<D, B: Backend> DataView for MatZnxDft<D, B> {
type D = D;
fn data(&self) -> &Self::D {
&self.data
}
}
impl<D, B> DataViewMut for MatZnxDft<D, B> {
impl<D, B: Backend> DataViewMut for MatZnxDft<D, B> {
fn data_mut(&mut self) -> &mut Self::D {
&mut self.data
}
@@ -57,7 +59,7 @@ impl<D: AsRef<[u8]>> ZnxView for MatZnxDft<D, FFT64> {
type Scalar = f64;
}
impl<D, B> MatZnxDft<D, B> {
impl<D, B: Backend> MatZnxDft<D, B> {
pub(crate) fn cols_in(&self) -> usize {
self.cols_in
}
@@ -87,7 +89,7 @@ impl<D: From<Vec<u8>>, B: Backend> MatZnxDft<D, B> {
rows,
cols_in,
cols_out,
_marker: PhantomData,
_phantom: PhantomData,
}
}
@@ -108,7 +110,7 @@ impl<D: From<Vec<u8>>, B: Backend> MatZnxDft<D, B> {
rows,
cols_in,
cols_out,
_marker: PhantomData,
_phantom: PhantomData,
}
}
}
@@ -151,28 +153,80 @@ impl<D: AsRef<[u8]>> MatZnxDft<D, FFT64> {
pub type MatZnxDftAllocOwned<B> = MatZnxDft<Vec<u8>, B>;
impl<B> MatZnxDft<Vec<u8>, B> {
pub fn to_mut(&mut self) -> MatZnxDft<&mut [u8], B> {
pub trait MatZnxDftToRef<B: Backend> {
fn to_ref(&self) -> MatZnxDft<&[u8], B>;
}
pub trait MatZnxDftToMut<B: Backend> {
fn to_mut(&mut self) -> MatZnxDft<&mut [u8], B>;
}
impl<B: Backend> MatZnxDftToMut<B> for MatZnxDft<Vec<u8>, B> {
fn to_mut(&mut self) -> MatZnxDft<&mut [u8], B> {
MatZnxDft {
data: self.data.as_mut_slice(),
n: self.n,
size: self.size,
rows: self.rows,
cols_in: self.cols_in,
cols_out: self.cols_out,
_marker: PhantomData,
size: self.size,
_phantom: PhantomData,
}
}
}
pub fn to_ref(&self) -> MatZnxDft<&[u8], B> {
impl<B: Backend> MatZnxDftToRef<B> for MatZnxDft<Vec<u8>, B> {
fn to_ref(&self) -> MatZnxDft<&[u8], B> {
MatZnxDft {
data: self.data.as_slice(),
n: self.n,
size: self.size,
rows: self.rows,
cols_in: self.cols_in,
cols_out: self.cols_out,
_marker: PhantomData,
size: self.size,
_phantom: PhantomData,
}
}
}
impl<B: Backend> MatZnxDftToMut<B> for MatZnxDft<&mut [u8], B> {
fn to_mut(&mut self) -> MatZnxDft<&mut [u8], B> {
MatZnxDft {
data: self.data,
n: self.n,
rows: self.rows,
cols_in: self.cols_in,
cols_out: self.cols_out,
size: self.size,
_phantom: PhantomData,
}
}
}
impl<B: Backend> MatZnxDftToRef<B> for MatZnxDft<&mut [u8], B> {
fn to_ref(&self) -> MatZnxDft<&[u8], B> {
MatZnxDft {
data: self.data,
n: self.n,
rows: self.rows,
cols_in: self.cols_in,
cols_out: self.cols_out,
size: self.size,
_phantom: PhantomData,
}
}
}
impl<B: Backend> MatZnxDftToRef<B> for MatZnxDft<&[u8], B> {
fn to_ref(&self) -> MatZnxDft<&[u8], B> {
MatZnxDft {
data: self.data,
n: self.n,
rows: self.rows,
cols_in: self.cols_in,
cols_out: self.cols_out,
size: self.size,
_phantom: PhantomData,
}
}
}

649
base2k/src/mat_znx_dft_ops.rs
View File

@@ -2,11 +2,11 @@ use crate::ffi::vec_znx_dft::vec_znx_dft_t;
use crate::ffi::vmp;
use crate::znx_base::{ZnxInfos, ZnxView, ZnxViewMut};
use crate::{
Backend, FFT64, MatZnxDft, MatZnxDftAllocOwned, Module, Scratch, VecZnx, VecZnxBigOps, VecZnxBigScratch, VecZnxDft,
VecZnxDftAlloc, VecZnxDftOps,
Backend, FFT64, MatZnxDft, MatZnxDftAllocOwned, MatZnxDftToMut, MatZnxDftToRef, Module, Scratch, VecZnxDft, VecZnxDftToMut,
VecZnxDftToRef,
};
pub trait MatZnxDftAlloc<B> {
pub trait MatZnxDftAlloc<B: Backend> {
/// Allocates a new [MatZnxDft] with the given number of rows and columns.
///
/// # Arguments
@@ -28,43 +28,10 @@ pub trait MatZnxDftAlloc<B> {
}
pub trait MatZnxDftScratch {
/// Returns the of bytes needed as scratch space for [MatZnxDftOps::vmp_prepare_row]
fn vmp_prepare_row_tmp_bytes(&self, cols_out: usize, size: usize) -> usize;
/// Returns the of bytes needed as scratch space for [MatZnxDftOps::vmp_extract_row]
fn vmp_extract_row_tmp_bytes(&self, cols_out: usize, size: usize) -> usize;
/// Returns the size of the stratch space necessary for [MatZnxDftOps::vmp_apply_dft].
///
/// # Arguments
///
/// * `c_size`: number of size of the output [VecZnxDft].
/// * `a_size`: number of size of the input [VecZnx].
/// * `rows`: number of rows of the input [MatZnxDft].
/// * `size`: number of size of the input [MatZnxDft].
fn vmp_apply_dft_tmp_bytes(
&self,
c_size: usize,
a_size: usize,
b_rows: usize,
b_cols_in: usize,
b_cols_out: usize,
b_size: usize,
) -> usize;
/// Returns the size of the stratch space necessary for [MatZnxDftOps::vmp_apply_dft_to_dft].
///
/// # Arguments
///
/// * `c_size`: number of size of the output [VecZnxDft].
/// * `a_size`: number of size of the input [VecZnxDft].
/// * `rows`: number of rows of the input [MatZnxDft].
/// * `size`: number of size of the input [MatZnxDft].
fn vmp_apply_dft_to_dft_tmp_bytes(
fn vmp_apply_tmp_bytes(
&self,
c_cols: usize,
c_size: usize,
a_cols: usize,
res_size: usize,
a_size: usize,
b_rows: usize,
b_cols_in: usize,
@@ -75,43 +42,7 @@ pub trait MatZnxDftScratch {
/// This trait implements methods for vector matrix product,
/// that is, multiplying a [VecZnx] with a [MatZnxDft].
pub trait MatZnxDftOps<DataMut, Data, B: Backend> {
/// Prepares the ith-row of [MatZnxDft] from a [VecZnx].
///
/// # Arguments
///
/// * `b`: [MatZnxDft] on which the values are encoded.
/// * `row_i`: the row of the [MatZnxDft] to prepare.
/// * `a`: the [VecZnx] to encode on the i-th row of the [MatZnxDft].
/// * `buf`: scratch space, the size of buf can be obtained with [MatZnxDftOps::vmp_prepare_tmp_bytes].
///
/// The size of buf can be obtained with [MatZnxDftOps::vmp_prepare_tmp_bytes].
fn vmp_prepare_row(
&self,
b: &mut MatZnxDft<DataMut, B>,
b_row: usize,
b_col_in: usize,
a: &VecZnx<Data>,
scratch: &mut Scratch,
);
/// Extracts the ith-row of [MatZnxDft] into a [VecZnxBig].
///
/// # Arguments
///
/// * `b`: the [VecZnxBig] to on which to extract the row of the [MatZnxDft].
/// * `a`: [MatZnxDft] on which the values are encoded.
/// * `row_i`: the index of the row to extract.
fn vmp_extract_row(
&self,
log_base2k: usize,
b: &mut VecZnx<DataMut>,
a: &MatZnxDft<Data, B>,
b_row: usize,
b_col_in: usize,
scratch: &mut Scratch,
);
pub trait MatZnxDftOps<BACKEND: Backend> {
/// Prepares the ith-row of [MatZnxDft] from a [VecZnxDft].
///
/// # Arguments
@@ -121,7 +52,10 @@ pub trait MatZnxDftOps<DataMut, Data, B: Backend> {
/// * `row_i`: the index of the row to prepare.
///
/// The size of buf can be obtained with [MatZnxDftOps::vmp_prepare_tmp_bytes].
fn vmp_prepare_row_dft(&self, b: &mut MatZnxDft<DataMut, B>, b_row: usize, b_col_in: usize, a: &VecZnxDft<Data, B>);
fn vmp_prepare_row<R, A>(&self, res: &mut R, res_row: usize, res_col_in: usize, a: &A)
where
R: MatZnxDftToMut<BACKEND>,
A: VecZnxDftToRef<BACKEND>;
/// Extracts the ith-row of [MatZnxDft] into a [VecZnxDft].
///
@@ -130,33 +64,10 @@ pub trait MatZnxDftOps<DataMut, Data, B: Backend> {
/// * `b`: the [VecZnxDft] to on which to extract the row of the [MatZnxDft].
/// * `a`: [MatZnxDft] on which the values are encoded.
/// * `row_i`: the index of the row to extract.
fn vmp_extract_row_dft(&self, b: &mut VecZnxDft<DataMut, B>, a: &MatZnxDft<Data, B>, a_row: usize, a_col_in: usize);
/// Applies the vector matrix product [VecZnxDft] x [MatZnxDft].
///
/// A vector matrix product is equivalent to a sum of [crate::SvpPPolOps::svp_apply_dft]
/// where each [crate::Scalar] is a limb of the input [VecZnxDft] (equivalent to an [crate::SvpPPol])
/// and each vector a [VecZnxDft] (row) of the [MatZnxDft].
///
/// As such, given an input [VecZnx] of `i` size and a [MatZnxDft] of `i` rows and
/// `j` size, the output is a [VecZnx] of `j` size.
///
/// If there is a mismatch between the dimensions the largest valid ones are used.
///
/// ```text
/// |a b c d| x |e f g| = (a * |e f g| + b * |h i j| + c * |k l m|) = |n o p|
/// |h i j|
/// |k l m|
/// ```
/// where each element is a [VecZnxDft].
///
/// # Arguments
///
/// * `c`: the output of the vector matrix product, as a [VecZnxDft].
/// * `a`: the left operand [VecZnx] of the vector matrix product.
/// * `b`: the right operand [MatZnxDft] of the vector matrix product.
/// * `buf`: scratch space, the size can be obtained with [MatZnxDftOps::vmp_apply_dft_tmp_bytes].
fn vmp_apply_dft(&self, c: &mut VecZnxDft<DataMut, B>, a: &VecZnx<Data>, b: &MatZnxDft<Data, B>, scratch: &mut Scratch);
fn vmp_extract_row<R, A>(&self, res: &mut R, a: &A, a_row: usize, a_col_in: usize)
where
R: VecZnxDftToMut<BACKEND>,
A: MatZnxDftToRef<BACKEND>;
/// Applies the vector matrix product [VecZnxDft] x [MatZnxDft].
/// The size of `buf` is given by [MatZnxDftOps::vmp_apply_dft_to_dft_tmp_bytes].
@@ -183,13 +94,11 @@ pub trait MatZnxDftOps<DataMut, Data, B: Backend> {
/// * `a`: the left operand [VecZnxDft] of the vector matrix product.
/// * `b`: the right operand [MatZnxDft] of the vector matrix product.
/// * `buf`: scratch space, the size can be obtained with [MatZnxDftOps::vmp_apply_dft_to_dft_tmp_bytes].
fn vmp_apply_dft_to_dft(
&self,
c: &mut VecZnxDft<DataMut, B>,
a: &VecZnxDft<Data, B>,
b: &MatZnxDft<Data, B>,
scratch: &mut Scratch,
);
fn vmp_apply<R, A, B>(&self, res: &mut R, a: &A, b: &B, scratch: &mut Scratch)
where
R: VecZnxDftToMut<BACKEND>,
A: VecZnxDftToRef<BACKEND>,
B: MatZnxDftToRef<BACKEND>;
}
impl<B: Backend> MatZnxDftAlloc<B> for Module<B> {
@@ -213,40 +122,10 @@ impl<B: Backend> MatZnxDftAlloc<B> for Module<B> {
}
}
impl<B: Backend> MatZnxDftScratch for Module<B> {
fn vmp_prepare_row_tmp_bytes(&self, cols_out: usize, size: usize) -> usize {
<Self as VecZnxDftAlloc<_>>::bytes_of_vec_znx_dft(self, cols_out, size)
}
fn vmp_extract_row_tmp_bytes(&self, cols_out: usize, size: usize) -> usize {
<Self as VecZnxDftAlloc<_>>::bytes_of_vec_znx_dft(self, cols_out, size)
+ <Self as VecZnxBigScratch>::vec_znx_big_normalize_tmp_bytes(self)
}
fn vmp_apply_dft_tmp_bytes(
impl<BACKEND: Backend> MatZnxDftScratch for Module<BACKEND> {
fn vmp_apply_tmp_bytes(
&self,
c_size: usize,
a_size: usize,
b_rows: usize,
b_cols_in: usize,
b_cols_out: usize,
b_size: usize,
) -> usize {
unsafe {
vmp::vmp_apply_dft_tmp_bytes(
self.ptr,
c_size as u64,
a_size as u64,
(b_rows * b_cols_in) as u64,
(b_size * b_cols_out) as u64,
) as usize
}
}
fn vmp_apply_dft_to_dft_tmp_bytes(
&self,
c_cols: usize,
c_size: usize,
a_cols: usize,
res_size: usize,
a_size: usize,
b_rows: usize,
b_cols_in: usize,
@@ -256,8 +135,8 @@ impl<B: Backend> MatZnxDftScratch for Module<B> {
unsafe {
vmp::vmp_apply_dft_to_dft_tmp_bytes(
self.ptr,
(c_size * c_cols) as u64,
(a_size * a_cols) as u64,
(res_size * b_cols_out) as u64,
(a_size * b_cols_in) as u64,
(b_rows * b_cols_in) as u64,
(b_size * b_cols_out) as u64,
) as usize
@@ -265,152 +144,43 @@ impl<B: Backend> MatZnxDftScratch for Module<B> {
}
}
impl MatZnxDftOps<&mut [u8], &[u8], FFT64> for Module<FFT64> {
fn vmp_prepare_row(
&self,
b: &mut MatZnxDft<&mut [u8], FFT64>,
b_row: usize,
b_col_in: usize,
a: &VecZnx<&[u8]>,
scratch: &mut Scratch,
) {
impl MatZnxDftOps<FFT64> for Module<FFT64> {
fn vmp_prepare_row<R, A>(&self, res: &mut R, res_row: usize, res_col_in: usize, a: &A)
where
R: MatZnxDftToMut<FFT64>,
A: VecZnxDftToRef<FFT64>,
{
let mut res: MatZnxDft<&mut [u8], _> = res.to_mut();
let a: VecZnxDft<&[u8], _> = a.to_ref();
#[cfg(debug_assertions)]
{
assert_eq!(b.n(), self.n());
assert_eq!(res.n(), self.n());
assert_eq!(a.n(), self.n());
assert_eq!(
a.cols(),
b.cols_out(),
"a.cols(): {} != b.cols_out(): {}",
res.cols_out(),
"a.cols(): {} != res.cols_out(): {}",
a.cols(),
b.cols_out()
res.cols_out()
);
assert!(
b_row < b.rows(),
"b_row: {} >= b.rows(): {}",
b_row,
b.rows()
res_row < res.rows(),
"res_row: {} >= res.rows(): {}",
res_row,
res.rows()
);
assert!(
b_col_in < b.cols_in(),
"b_col_in: {} >= b.cols_in(): {}",
b_col_in,
b.cols_in()
res_col_in < res.cols_in(),
"res_col_in: {} >= res.cols_in(): {}",
res_col_in,
res.cols_in()
);
assert_eq!(
b.size(),
res.size(),
a.size(),
"b.size(): {} != a.size(): {}",
b.size(),
a.size()
);
// assert!(
// tmp_bytes.len()
// >= <Self as MatZnxDftOps<DataMut, Data, FFT64>>::vmp_prepare_row_tmp_bytes(self, a.cols(), a.size())
// );
// assert!(is_aligned(tmp_bytes.as_ptr()))
}
let cols_out: usize = a.cols();
let a_size: usize = a.size();
// let (tmp_bytes_a_dft, _) = tmp_bytes.split_at_mut(self.bytes_of_vec_znx_dft(cols_out, a_size));
let (mut a_dft, _) = scratch.tmp_vec_znx_dft::<_>(self, cols_out, a_size);
(0..cols_out).for_each(|i| self.vec_znx_dft(&mut a_dft, i, &a, i));
Self::vmp_prepare_row_dft(&self, b, b_row, b_col_in, &a_dft.to_ref());
}
fn vmp_extract_row(
&self,
log_base2k: usize,
b: &mut VecZnx<&mut [u8]>,
a: &MatZnxDft<&[u8], FFT64>,
a_row: usize,
a_col_in: usize,
scratch: &mut Scratch,
) {
#[cfg(debug_assertions)]
{
assert_eq!(b.n(), self.n());
assert_eq!(a.n(), self.n());
assert_eq!(
b.cols(),
a.cols_out(),
"b.cols(): {} != a.cols_out(): {}",
b.cols(),
a.cols_out()
);
assert!(
a_row < a.rows(),
"a_row: {} >= a.rows(): {}",
a_row,
a.rows()
);
assert!(
a_col_in < a.cols_in(),
"a_col_in: {} >= a.cols_in(): {}",
a_col_in,
a.cols_in()
);
assert_eq!(
b.size(),
a.size(),
"b.size(): {} != a.size(): {}",
b.size(),
a.size()
);
// assert!(tmp_bytes.len() >= self.vmp_extract_row_tmp_bytes(a.cols(), a.size()));
// assert!(is_aligned(tmp_bytes.as_ptr()))
}
let cols_out: usize = b.cols();
let size: usize = b.size();
// let (bytes_a_dft, tmp_bytes) = tmp_bytes.split_at_mut(self.bytes_of_vec_znx_dft(cols_out, size));
let (mut b_dft, scratch) = scratch.tmp_vec_znx_dft(self, cols_out, size);
Self::vmp_extract_row_dft(&self, &mut b_dft, a, a_row, a_col_in);
let (mut b_big, scratch) = scratch.tmp_vec_znx_big(self, cols_out, size);
(0..cols_out).for_each(|i| {
<Self as VecZnxDftOps<&mut [u8], &[u8], FFT64>>::vec_znx_idft_tmp_a(self, &mut b_big, i, &mut b_dft, i);
self.vec_znx_big_normalize(log_base2k, b, i, &b_big, i, scratch);
});
}
fn vmp_prepare_row_dft(
&self,
b: &mut MatZnxDft<&mut [u8], FFT64>,
b_row: usize,
b_col_in: usize,
a: &VecZnxDft<&[u8], FFT64>,
) {
#[cfg(debug_assertions)]
{
assert_eq!(b.n(), self.n());
assert_eq!(a.n(), self.n());
assert_eq!(
a.cols(),
b.cols_out(),
"a.cols(): {} != b.cols_out(): {}",
a.cols(),
b.cols_out()
);
assert!(
b_row < b.rows(),
"b_row: {} >= b.rows(): {}",
b_row,
b.rows()
);
assert!(
b_col_in < b.cols_in(),
"b_col_in: {} >= b.cols_in(): {}",
b_col_in,
b.cols_in()
);
assert_eq!(
b.size(),
a.size(),
"b.size(): {} != a.size(): {}",
b.size(),
"res.size(): {} != a.size(): {}",
res.size(),
a.size()
);
}
@@ -418,31 +188,32 @@ impl MatZnxDftOps<&mut [u8], &[u8], FFT64> for Module<FFT64> {
unsafe {
vmp::vmp_prepare_row_dft(
self.ptr,
b.as_mut_ptr() as *mut vmp::vmp_pmat_t,
res.as_mut_ptr() as *mut vmp::vmp_pmat_t,
a.as_ptr() as *const vec_znx_dft_t,
(b_row * b.cols_in() + b_col_in) as u64,
(b.rows() * b.cols_in()) as u64,
(b.size() * b.cols_out()) as u64,
(res_row * res.cols_in() + res_col_in) as u64,
(res.rows() * res.cols_in()) as u64,
(res.size() * res.cols_out()) as u64,
);
}
}
fn vmp_extract_row_dft(
&self,
b: &mut VecZnxDft<&mut [u8], FFT64>,
a: &MatZnxDft<&[u8], FFT64>,
a_row: usize,
a_col_in: usize,
) {
fn vmp_extract_row<R, A>(&self, res: &mut R, a: &A, a_row: usize, a_col_in: usize)
where
R: VecZnxDftToMut<FFT64>,
A: MatZnxDftToRef<FFT64>,
{
let mut res: VecZnxDft<&mut [u8], _> = res.to_mut();
let a: MatZnxDft<&[u8], _> = a.to_ref();
#[cfg(debug_assertions)]
{
assert_eq!(b.n(), self.n());
assert_eq!(res.n(), self.n());
assert_eq!(a.n(), self.n());
assert_eq!(
b.cols(),
res.cols(),
a.cols_out(),
"b.cols(): {} != a.cols_out(): {}",
b.cols(),
"res.cols(): {} != a.cols_out(): {}",
res.cols(),
a.cols_out()
);
assert!(
@@ -458,17 +229,17 @@ impl MatZnxDftOps<&mut [u8], &[u8], FFT64> for Module<FFT64> {
a.cols_in()
);
assert_eq!(
b.size(),
res.size(),
a.size(),
"b.size(): {} != a.size(): {}",
b.size(),
"res.size(): {} != a.size(): {}",
res.size(),
a.size()
);
}
unsafe {
vmp::vmp_extract_row_dft(
self.ptr,
b.as_mut_ptr() as *mut vec_znx_dft_t,
res.as_mut_ptr() as *mut vec_znx_dft_t,
a.as_ptr() as *const vmp::vmp_pmat_t,
(a_row * a.cols_in() + a_col_in) as u64,
(a.rows() * a.cols_in()) as u64,
@@ -477,23 +248,26 @@ impl MatZnxDftOps<&mut [u8], &[u8], FFT64> for Module<FFT64> {
}
}
fn vmp_apply_dft(
&self,
c: &mut VecZnxDft<&mut [u8], FFT64>,
a: &VecZnx<&[u8]>,
b: &MatZnxDft<&[u8], FFT64>,
scratch: &mut Scratch,
) {
fn vmp_apply<R, A, B>(&self, res: &mut R, a: &A, b: &B, scratch: &mut Scratch)
where
R: VecZnxDftToMut<FFT64>,
A: VecZnxDftToRef<FFT64>,
B: MatZnxDftToRef<FFT64>,
{
let mut res: VecZnxDft<&mut [u8], _> = res.to_mut();
let a: VecZnxDft<&[u8], _> = a.to_ref();
let b: MatZnxDft<&[u8], _> = b.to_ref();
#[cfg(debug_assertions)]
{
assert_eq!(c.n(), self.n());
assert_eq!(res.n(), self.n());
assert_eq!(b.n(), self.n());
assert_eq!(a.n(), self.n());
assert_eq!(
c.cols(),
res.cols(),
b.cols_out(),
"c.cols(): {} != b.cols_out: {}",
c.cols(),
"res.cols(): {} != b.cols_out: {}",
res.cols(),
b.cols_out()
);
assert_eq!(
@@ -503,92 +277,10 @@ impl MatZnxDftOps<&mut [u8], &[u8], FFT64> for Module<FFT64> {
a.cols(),
b.cols_in()
);
// assert!(
// tmp_bytes.len()
// >= self.vmp_apply_dft_tmp_bytes(
// c.size(),
// a.size(),
// b.rows(),
// b.cols_in(),
// b.cols_out(),
// b.size()
// )
// );
// assert_alignement(tmp_bytes.as_ptr());
}
let (tmp_bytes, _) = scratch.tmp_scalar_slice(<Self as MatZnxDftScratch>::vmp_apply_dft_tmp_bytes(
self,
c.size(),
a.size(),
b.rows(),
b.cols_in(),
b.cols_out(),
b.size(),
));
unsafe {
vmp::vmp_apply_dft(
self.ptr,
c.as_mut_ptr() as *mut vec_znx_dft_t,
(c.size() * c.cols()) as u64,
a.as_ptr(),
(a.size() * a.cols()) as u64,
a.n() as u64,
b.as_ptr() as *const vmp::vmp_pmat_t,
(b.rows() * b.cols_in()) as u64,
(b.size() * b.cols_out()) as u64,
tmp_bytes.as_mut_ptr(),
)
}
}
fn vmp_apply_dft_to_dft(
&self,
c: &mut VecZnxDft<&mut [u8], FFT64>,
a: &VecZnxDft<&[u8], FFT64>,
b: &MatZnxDft<&[u8], FFT64>,
scratch: &mut Scratch,
) {
{
#[cfg(debug_assertions)]
{
assert_eq!(c.n(), self.n());
assert_eq!(b.n(), self.n());
assert_eq!(a.n(), self.n());
assert_eq!(
c.cols(),
b.cols_out(),
"c.cols(): {} != b.cols_out: {}",
c.cols(),
b.cols_out()
);
assert_eq!(
a.cols(),
b.cols_in(),
"a.cols(): {} != b.cols_in: {}",
a.cols(),
b.cols_in()
);
// assert!(
// tmp_bytes.len()
// >= self.vmp_apply_dft_to_dft_tmp_bytes(
// c.cols(),
// c.size(),
// a.cols(),
// a.size(),
// b.rows(),
// b.cols_in(),
// b.cols_out(),
// b.size()
// )
// );
// assert_alignement(tmp_bytes.as_ptr());
}
let (tmp_bytes, _) = scratch.tmp_scalar_slice(self.vmp_apply_dft_to_dft_tmp_bytes(
c.cols(),
c.size(),
a.cols(),
let (tmp_bytes, _) = scratch.tmp_scalar_slice(self.vmp_apply_tmp_bytes(
res.size(),
a.size(),
b.rows(),
b.cols_in(),
@@ -598,107 +290,142 @@ impl MatZnxDftOps<&mut [u8], &[u8], FFT64> for Module<FFT64> {
unsafe {
vmp::vmp_apply_dft_to_dft(
self.ptr,
c.as_mut_ptr() as *mut vec_znx_dft_t,
c.poly_count() as u64,
res.as_mut_ptr() as *mut vec_znx_dft_t,
(res.size() * res.cols()) as u64,
a.as_ptr() as *const vec_znx_dft_t,
a.poly_count() as u64,
(a.size() * a.cols()) as u64,
b.as_ptr() as *const vmp::vmp_pmat_t,
b.rows() as u64,
(b.size() * b.cols()) as u64,
(b.rows() * b.cols_in()) as u64,
(b.size() * b.cols_out()) as u64,
tmp_bytes.as_mut_ptr(),
)
}
}
}
}
#[cfg(test)]
mod tests {
use crate::ScratchOwned;
use crate::mat_znx_dft_ops::*;
use crate::vec_znx_big_ops::*;
use crate::vec_znx_dft_ops::*;
use crate::vec_znx_ops::*;
use crate::{
FFT64, MatZnxDft, MatZnxDftOps, Module, Sampling, VecZnx, VecZnxBig, VecZnxBigOps, VecZnxDft, VecZnxDftOps, alloc_aligned,
Encoding, FFT64, MatZnxDft, MatZnxDftOps, Module, Sampling, ScratchOwned, VecZnx, VecZnxAlloc, VecZnxBig, VecZnxBigAlloc,
VecZnxBigOps, VecZnxBigScratch, VecZnxDft, VecZnxDftAlloc, VecZnxDftOps, ZnxInfos, ZnxView, ZnxViewMut,
};
use sampling::source::Source;
use super::{MatZnxDftAlloc, MatZnxDftScratch};
#[test]
fn vmp_prepare_row_dft() {
fn vmp_prepare_row() {
let module: Module<FFT64> = Module::<FFT64>::new(16);
let log_base2k: usize = 8;
let mat_rows: usize = 4;
let mat_cols_in: usize = 2;
let mat_cols_out: usize = 2;
let mat_size: usize = 5;
let mut a: VecZnx<_> = module.new_vec_znx(mat_cols_out, mat_size);
let mut b: VecZnx<_> = module.new_vec_znx(mat_cols_out, mat_size);
let mut a_dft: VecZnxDft<_, FFT64> = module.new_vec_znx_dft(mat_cols_out, mat_size);
let mut a_big: VecZnxBig<_, FFT64> = module.new_vec_znx_big(mat_cols_out, mat_size);
let mut b_dft: VecZnxDft<_, FFT64> = module.new_vec_znx_dft(mat_cols_out, mat_size);
let mut vmpmat_0: MatZnxDft<_, FFT64> = module.new_mat_znx_dft(mat_rows, mat_cols_in, mat_cols_out, mat_size);
let mut vmpmat_1: MatZnxDft<_, FFT64> = module.new_mat_znx_dft(mat_rows, mat_cols_in, mat_cols_out, mat_size);
// let mut tmp_bytes: Vec<u8> =
// alloc_aligned(module.vmp_prepare_row_tmp_bytes(mat_cols_out, mat_size) | module.vec_znx_big_normalize_tmp_bytes());
let mut scratch = ScratchOwned::new(
2 * (module.vmp_prepare_row_tmp_bytes(mat_cols_out, mat_size) + module.vec_znx_big_normalize_tmp_bytes()),
);
let mut tmp_bytes: Vec<u8> =
alloc_aligned::<u8>(<Module<FFT64> as VecZnxDftOps<Vec<u8>, Vec<u8>, _>>::vec_znx_idft_tmp_bytes(&module));
let mut a: VecZnx<Vec<u8>> = module.new_vec_znx(mat_cols_out, mat_size);
let mut a_dft: VecZnxDft<Vec<u8>, FFT64> = module.new_vec_znx_dft(mat_cols_out, mat_size);
let mut b_dft: VecZnxDft<Vec<u8>, FFT64> = module.new_vec_znx_dft(mat_cols_out, mat_size);
let mut mat: MatZnxDft<Vec<u8>, FFT64> = module.new_mat_znx_dft(mat_rows, mat_cols_in, mat_cols_out, mat_size);
for col_in in 0..mat_cols_in {
for row_i in 0..mat_rows {
let mut source: Source = Source::new([0u8; 32]);
(0..mat_cols_out).for_each(|col_out| {
module.fill_uniform(log_base2k, &mut a, col_out, mat_size, &mut source);
module.vec_znx_dft(&mut a_dft, col_out, &a, col_out);
});
module.vmp_prepare_row(
&mut vmpmat_0.to_mut(),
row_i,
col_in,
&a.to_ref(),
scratch.borrow(),
);
// Checks that prepare(mat_znx_dft, a) = prepare_dft(mat_znx_dft, a_dft)
module.vmp_prepare_row_dft(&mut vmpmat_1.to_mut(), row_i, col_in, &a_dft.to_ref());
assert_eq!(vmpmat_0.raw(), vmpmat_1.raw());
// Checks that a_dft = extract_dft(prepare(mat_znx_dft, a), b_dft)
module.vmp_extract_row_dft(&mut b_dft.to_mut(), &vmpmat_0.to_ref(), row_i, col_in);
module.vmp_prepare_row(&mut mat, row_i, col_in, &a_dft);
module.vmp_extract_row(&mut b_dft, &mat, row_i, col_in);
assert_eq!(a_dft.raw(), b_dft.raw());
// Checks that a_big = extract(prepare_dft(mat_znx_dft, a_dft), b_big)
module.vmp_extract_row(
log_base2k,
&mut b.to_mut(),
&vmpmat_0.to_ref(),
row_i,
col_in,
scratch.borrow(),
);
(0..mat_cols_out).for_each(|col_out| {
module.vec_znx_idft(&mut a_big, col_out, &a_dft, col_out, &mut tmp_bytes);
module.vec_znx_big_normalize(
log_base2k,
&mut a.to_mut(),
col_out,
&a_big.to_ref(),
col_out,
scratch.borrow(),
);
});
assert_eq!(a.raw(), b.raw());
}
}
module.free();
}
#[test]
fn vmp_apply() {
let log_n: i32 = 5;
let n: usize = 1 << log_n;
let module: Module<FFT64> = Module::<FFT64>::new(n);
let log_base2k: usize = 15;
let a_size: usize = 5;
let mat_size: usize = 6;
let res_size: usize = 5;
[1, 2].iter().for_each(|in_cols| {
[1, 2].iter().for_each(|out_cols| {
let a_cols: usize = *in_cols;
let res_cols: usize = *out_cols;
let mat_rows: usize = a_size;
let mat_cols_in: usize = a_cols;
let mat_cols_out: usize = res_cols;
let res_cols: usize = mat_cols_out;
let mut scratch: ScratchOwned = ScratchOwned::new(
module.vmp_apply_tmp_bytes(
res_size,
a_size,
mat_rows,
mat_cols_in,
mat_cols_out,
mat_size,
) | module.vec_znx_big_normalize_tmp_bytes(),
);
let mut a: VecZnx<Vec<u8>> = module.new_vec_znx(a_cols, a_size);
(0..a_cols).for_each(|i| {
a.at_mut(i, 2)[i + 1] = 1;
});
let mut mat_znx_dft: MatZnxDft<Vec<u8>, FFT64> =
module.new_mat_znx_dft(mat_rows, mat_cols_in, mat_cols_out, mat_size);
let mut c_dft: VecZnxDft<Vec<u8>, FFT64> = module.new_vec_znx_dft(mat_cols_out, mat_size);
let mut c_big: VecZnxBig<Vec<u8>, FFT64> = module.new_vec_znx_big(mat_cols_out, mat_size);
let mut tmp: VecZnx<Vec<u8>> = module.new_vec_znx(mat_cols_out, mat_size);
// Construts a [VecZnxMatDft] that performs cyclic rotations on each submatrix.
(0..a.size()).for_each(|row_i| {
(0..mat_cols_in).for_each(|col_in_i| {
(0..mat_cols_out).for_each(|col_out_i| {
let idx = 1 + col_in_i * mat_cols_out + col_out_i;
tmp.at_mut(col_out_i, row_i)[idx] = 1 as i64; // X^{idx}
module.vec_znx_dft(&mut c_dft, col_out_i, &tmp, col_out_i);
tmp.at_mut(col_out_i, row_i)[idx] = 0 as i64;
});
module.vmp_prepare_row(&mut mat_znx_dft, row_i, col_in_i, &c_dft);
});
});
let mut a_dft: VecZnxDft<Vec<u8>, FFT64> = module.new_vec_znx_dft(a_cols, a_size);
(0..a_cols).for_each(|i| {
module.vec_znx_dft(&mut a_dft, i, &a, i);
});
module.vmp_apply(&mut c_dft, &a_dft, &mat_znx_dft, scratch.borrow());
let mut res_have_vi64: Vec<i64> = vec![i64::default(); n];
let mut res_have: VecZnx<Vec<u8>> = module.new_vec_znx(res_cols, res_size);
(0..mat_cols_out).for_each(|i| {
module.vec_znx_idft_tmp_a(&mut c_big, i, &mut c_dft, i);
module.vec_znx_big_normalize(log_base2k, &mut res_have, i, &c_big, i, scratch.borrow());
});
(0..mat_cols_out).for_each(|col_i| {
let mut res_want_vi64: Vec<i64> = vec![i64::default(); n];
(0..a_cols).for_each(|i| {
res_want_vi64[(i + 1) + (1 + i * mat_cols_out + col_i)] = 1;
});
res_have.decode_vec_i64(col_i, log_base2k, log_base2k * 3, &mut res_have_vi64);
assert_eq!(res_have_vi64, res_want_vi64);
});
});
});
module.free();
}
}

63
base2k/src/sampling.rs
View File

@@ -1,53 +1,47 @@
use crate::znx_base::ZnxViewMut;
use crate::{Backend, Module, VecZnx};
use crate::{Backend, Module, VecZnx, VecZnxToMut};
use rand_distr::{Distribution, Normal};
use sampling::source::Source;
pub trait Sampling {
/// Fills the first `size` size with uniform values in \[-2^{log_base2k-1}, 2^{log_base2k-1}\]
fn fill_uniform<DataMut: AsMut<[u8]> + AsRef<[u8]>>(
&self,
log_base2k: usize,
a: &mut VecZnx<DataMut>,
col_i: usize,
size: usize,
source: &mut Source,
);
fn fill_uniform<A>(&self, log_base2k: usize, a: &mut A, col_i: usize, size: usize, source: &mut Source)
where
A: VecZnxToMut;
/// Adds vector sampled according to the provided distribution, scaled by 2^{-log_k} and bounded to \[-bound, bound\].
fn add_dist_f64<DataMut: AsMut<[u8]> + AsRef<[u8]>, D: Distribution<f64>>(
fn add_dist_f64<A, D: Distribution<f64>>(
&self,
log_base2k: usize,
a: &mut VecZnx<DataMut>,
a: &mut A,
col_i: usize,
log_k: usize,
source: &mut Source,
dist: D,
bound: f64,
);
) where
A: VecZnxToMut;
/// Adds a discrete normal vector scaled by 2^{-log_k} with the provided standard deviation and bounded to \[-bound, bound\].
fn add_normal<DataMut: AsMut<[u8]> + AsRef<[u8]>>(
fn add_normal<A>(
&self,
log_base2k: usize,
a: &mut VecZnx<DataMut>,
a: &mut A,
col_i: usize,
log_k: usize,
source: &mut Source,
sigma: f64,
bound: f64,
);
) where
A: VecZnxToMut;
}
impl<B: Backend> Sampling for Module<B> {
fn fill_uniform<DataMut: AsMut<[u8]> + AsRef<[u8]>>(
&self,
log_base2k: usize,
a: &mut VecZnx<DataMut>,
col_i: usize,
size: usize,
source: &mut Source,
) {
fn fill_uniform<A>(&self, log_base2k: usize, a: &mut A, col_i: usize, size: usize, source: &mut Source)
where
A: VecZnxToMut,
{
let mut a: VecZnx<&mut [u8]> = a.to_mut();
let base2k: u64 = 1 << log_base2k;
let mask: u64 = base2k - 1;
let base2k_half: i64 = (base2k >> 1) as i64;
@@ -58,16 +52,19 @@ impl<B: Backend> Sampling for Module<B> {
})
}
fn add_dist_f64<DataMut: AsMut<[u8]> + AsRef<[u8]>, D: Distribution<f64>>(
fn add_dist_f64<A, D: Distribution<f64>>(
&self,
log_base2k: usize,
a: &mut VecZnx<DataMut>,
a: &mut A,
col_i: usize,
log_k: usize,
source: &mut Source,
dist: D,
bound: f64,
) {
) where
A: VecZnxToMut,
{
let mut a: VecZnx<&mut [u8]> = a.to_mut();
assert!(
(bound.log2().ceil() as i64) < 64,
"invalid bound: ceil(log2(bound))={} > 63",
@@ -96,16 +93,10 @@ impl<B: Backend> Sampling for Module<B> {
}
}
fn add_normal<DataMut: AsMut<[u8]> + AsRef<[u8]>>(
&self,
log_base2k: usize,
a: &mut VecZnx<DataMut>,
col_i: usize,
log_k: usize,
source: &mut Source,
sigma: f64,
bound: f64,
) {
fn add_normal<A>(&self, log_base2k: usize, a: &mut A, col_i: usize, log_k: usize, source: &mut Source, sigma: f64, bound: f64)
where
A: VecZnxToMut,
{
self.add_dist_f64(
log_base2k,
a,

100
base2k/src/scalar_znx.rs
View File

@@ -1,13 +1,10 @@
use crate::znx_base::ZnxInfos;
use crate::{Backend, DataView, DataViewMut, Module, ZnxView, ZnxViewMut, alloc_aligned};
use crate::{Backend, DataView, DataViewMut, Module, ZnxSliceSize, ZnxView, ZnxViewMut, alloc_aligned};
use rand::seq::SliceRandom;
use rand_core::RngCore;
use rand_distr::{Distribution, weighted::WeightedIndex};
use sampling::source::Source;
// pub const SCALAR_ZNX_ROWS: usize = 1;
// pub const SCALAR_ZNX_SIZE: usize = 1;
pub struct Scalar<D> {
data: D,
n: usize,
@@ -30,7 +27,9 @@ impl<D> ZnxInfos for Scalar<D> {
fn size(&self) -> usize {
1
}
}
impl<D> ZnxSliceSize for Scalar<D> {
fn sl(&self) -> usize {
self.n()
}
@@ -70,19 +69,6 @@ impl<D: AsMut<[u8]> + AsRef<[u8]>> Scalar<D> {
.for_each(|x: &mut i64| *x = (((source.next_u32() & 1) as i64) << 1) - 1);
self.at_mut(col, 0).shuffle(source);
}
// pub fn alias_as_vec_znx(&self) -> VecZnx {
// VecZnx {
// inner: ZnxBase {
// n: self.n(),
// rows: 1,
// cols: 1,
// size: 1,
// data: Vec::new(),
// ptr: self.ptr() as *mut u8,
// },
// }
// }
}
impl<D: From<Vec<u8>>> Scalar<D> {
@@ -116,7 +102,6 @@ pub trait ScalarAlloc {
fn bytes_of_scalar(&self, cols: usize) -> usize;
fn new_scalar(&self, cols: usize) -> ScalarOwned;
fn new_scalar_from_bytes(&self, cols: usize, bytes: Vec<u8>) -> ScalarOwned;
// fn new_scalar_from_bytes_borrow(&self, cols: usize, bytes: &mut [u8]) -> Scalar;
}
impl<B: Backend> ScalarAlloc for Module<B> {
@@ -129,31 +114,62 @@ impl<B: Backend> ScalarAlloc for Module<B> {
fn new_scalar_from_bytes(&self, cols: usize, bytes: Vec<u8>) -> ScalarOwned {
ScalarOwned::new_from_bytes::<i64>(self.n(), cols, bytes)
}
// fn new_scalar_from_bytes_borrow(&self, cols: usize, bytes: &mut [u8]) -> Scalar {
// Scalar::from_bytes_borrow(self, SCALAR_ZNX_ROWS, cols, SCALAR_ZNX_SIZE, bytes)
// }
}
// impl<B: Backend> ZnxAlloc<B> for Scalar {
// type Scalar = i64;
pub trait ScalarToRef {
fn to_ref(&self) -> Scalar<&[u8]>;
}
// fn from_bytes_borrow(module: &Module<B>, _rows: usize, cols: usize, _size: usize, bytes: &mut [u8]) -> Self {
// Self {
// inner: ZnxBase::from_bytes_borrow(module.n(), SCALAR_ZNX_ROWS, cols, SCALAR_ZNX_SIZE, bytes),
// }
// }
pub trait ScalarToMut {
fn to_mut(&mut self) -> Scalar<&mut [u8]>;
}
// fn bytes_of(module: &Module<B>, _rows: usize, cols: usize, _size: usize) -> usize {
// debug_assert_eq!(
// _rows, SCALAR_ZNX_ROWS,
// "rows != {} not supported for Scalar",
// SCALAR_ZNX_ROWS
// );
// debug_assert_eq!(
// _size, SCALAR_ZNX_SIZE,
// "rows != {} not supported for Scalar",
// SCALAR_ZNX_SIZE
// );
// module.n() * cols * std::mem::size_of::<self::Scalar>()
// }
// }
impl ScalarToMut for Scalar<Vec<u8>> {
fn to_mut(&mut self) -> Scalar<&mut [u8]> {
Scalar {
data: self.data.as_mut_slice(),
n: self.n,
cols: self.cols,
}
}
}
impl ScalarToRef for Scalar<Vec<u8>> {
fn to_ref(&self) -> Scalar<&[u8]> {
Scalar {
data: self.data.as_slice(),
n: self.n,
cols: self.cols,
}
}
}
impl ScalarToMut for Scalar<&mut [u8]> {
fn to_mut(&mut self) -> Scalar<&mut [u8]> {
Scalar {
data: self.data,
n: self.n,
cols: self.cols,
}
}
}
impl ScalarToRef for Scalar<&mut [u8]> {
fn to_ref(&self) -> Scalar<&[u8]> {
Scalar {
data: self.data,
n: self.n,
cols: self.cols,
}
}
}
impl ScalarToRef for Scalar<&[u8]> {
fn to_ref(&self) -> Scalar<&[u8]> {
Scalar {
data: self.data,
n: self.n,
cols: self.cols,
}
}
}

92
base2k/src/scalar_znx_dft.rs
View File

@@ -2,19 +2,16 @@ use std::marker::PhantomData;
use crate::ffi::svp;
use crate::znx_base::ZnxInfos;
use crate::{Backend, DataView, DataViewMut, FFT64, Module, ZnxView, alloc_aligned};
use crate::{Backend, DataView, DataViewMut, FFT64, Module, ZnxSliceSize, ZnxView, alloc_aligned};
pub const SCALAR_ZNX_DFT_ROWS: usize = 1;
pub const SCALAR_ZNX_DFT_SIZE: usize = 1;
pub struct ScalarZnxDft<D, B> {
pub struct ScalarZnxDft<D, B: Backend> {
data: D,
n: usize,
cols: usize,
_phantom: PhantomData<B>,
}
impl<D, B> ZnxInfos for ScalarZnxDft<D, B> {
impl<D, B: Backend> ZnxInfos for ScalarZnxDft<D, B> {
fn cols(&self) -> usize {
self.cols
}
@@ -30,20 +27,22 @@ impl<D, B> ZnxInfos for ScalarZnxDft<D, B> {
fn size(&self) -> usize {
1
}
}
impl<D> ZnxSliceSize for ScalarZnxDft<D, FFT64> {
fn sl(&self) -> usize {
self.n()
}
}
impl<D, B> DataView for ScalarZnxDft<D, B> {
impl<D, B: Backend> DataView for ScalarZnxDft<D, B> {
type D = D;
fn data(&self) -> &Self::D {
&self.data
}
}
impl<D, B> DataViewMut for ScalarZnxDft<D, B> {
impl<D, B: Backend> DataViewMut for ScalarZnxDft<D, B> {
fn data_mut(&mut self) -> &mut Self::D {
&mut self.data
}
@@ -78,20 +77,69 @@ impl<D: From<Vec<u8>>, B: Backend> ScalarZnxDft<D, B> {
_phantom: PhantomData,
}
}
// fn from_bytes_borrow(module: &Module<B>, _rows: usize, cols: usize, _size: usize, bytes: &mut [u8]) -> Self {
// debug_assert_eq!(bytes.len(), Self::bytes_of(module, _rows, cols, _size));
// Self {
// inner: ZnxBase::from_bytes_borrow(
// module.n(),
// SCALAR_ZNX_DFT_ROWS,
// cols,
// SCALAR_ZNX_DFT_SIZE,
// bytes,
// ),
// _phantom: PhantomData,
// }
// }
}
pub type ScalarZnxDftOwned<B> = ScalarZnxDft<Vec<u8>, B>;
pub trait ScalarZnxDftToRef<B: Backend> {
fn to_ref(&self) -> ScalarZnxDft<&[u8], B>;
}
pub trait ScalarZnxDftToMut<B: Backend> {
fn to_mut(&mut self) -> ScalarZnxDft<&mut [u8], B>;
}
impl<B: Backend> ScalarZnxDftToMut<B> for ScalarZnxDft<Vec<u8>, B> {
fn to_mut(&mut self) -> ScalarZnxDft<&mut [u8], B> {
ScalarZnxDft {
data: self.data.as_mut_slice(),
n: self.n,
cols: self.cols,
_phantom: PhantomData,
}
}
}
impl<B: Backend> ScalarZnxDftToRef<B> for ScalarZnxDft<Vec<u8>, B> {
fn to_ref(&self) -> ScalarZnxDft<&[u8], B> {
ScalarZnxDft {
data: self.data.as_slice(),
n: self.n,
cols: self.cols,
_phantom: PhantomData,
}
}
}
impl<B: Backend> ScalarZnxDftToMut<B> for ScalarZnxDft<&mut [u8], B> {
fn to_mut(&mut self) -> ScalarZnxDft<&mut [u8], B> {
ScalarZnxDft {
data: self.data,
n: self.n,
cols: self.cols,
_phantom: PhantomData,
}
}
}
impl<B: Backend> ScalarZnxDftToRef<B> for ScalarZnxDft<&mut [u8], B> {
fn to_ref(&self) -> ScalarZnxDft<&[u8], B> {
ScalarZnxDft {
data: self.data,
n: self.n,
cols: self.cols,
_phantom: PhantomData,
}
}
}
impl<B: Backend> ScalarZnxDftToRef<B> for ScalarZnxDft<&[u8], B> {
fn to_ref(&self) -> ScalarZnxDft<&[u8], B> {
ScalarZnxDft {
data: self.data,
n: self.n,
cols: self.cols,
_phantom: PhantomData,
}
}
}

66
base2k/src/scalar_znx_dft_ops.rs
View File

@@ -1,26 +1,28 @@
use crate::ffi::svp::{self, svp_ppol_t};
use crate::ffi::svp;
use crate::ffi::vec_znx_dft::vec_znx_dft_t;
use crate::znx_base::{ZnxInfos, ZnxView, ZnxViewMut};
use crate::{Backend, FFT64, Module, Scalar, ScalarZnxDft, ScalarZnxDftOwned, VecZnx, VecZnxDft};
use crate::{
Backend, FFT64, Module, ScalarToRef, ScalarZnxDft, ScalarZnxDftOwned, ScalarZnxDftToMut, ScalarZnxDftToRef, VecZnx,
VecZnxDft, VecZnxDftToMut, VecZnxToRef, ZnxSliceSize,
};
pub trait ScalarZnxDftAlloc<B> {
pub trait ScalarZnxDftAlloc<B: Backend> {
fn new_scalar_znx_dft(&self, cols: usize) -> ScalarZnxDftOwned<B>;
fn bytes_of_scalar_znx_dft(&self, cols: usize) -> usize;
fn new_scalar_znx_dft_from_bytes(&self, cols: usize, bytes: Vec<u8>) -> ScalarZnxDftOwned<B>;
// fn new_scalar_znx_dft_from_bytes_borrow(&self, cols: usize, bytes: &mut [u8]) -> ScalarZnxDft<B>;
}
pub trait ScalarZnxDftOps<DataMut, Data, B: Backend> {
fn svp_prepare(&self, res: &mut ScalarZnxDft<DataMut, B>, res_col: usize, a: &Scalar<Data>, a_col: usize);
fn svp_apply_dft(
&self,
res: &mut VecZnxDft<DataMut, B>,
res_col: usize,
a: &ScalarZnxDft<Data, B>,
a_col: usize,
b: &VecZnx<Data>,
b_col: usize,
);
pub trait ScalarZnxDftOps<BACKEND: Backend> {
fn svp_prepare<R, A>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: ScalarZnxDftToMut<BACKEND>,
A: ScalarToRef;
fn svp_apply<R, A, B>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize, b: &B, b_col: usize)
where
R: VecZnxDftToMut<BACKEND>,
A: ScalarZnxDftToRef<BACKEND>,
B: VecZnxToRef;
}
impl<B: Backend> ScalarZnxDftAlloc<B> for Module<B> {
@@ -35,42 +37,38 @@ impl<B: Backend> ScalarZnxDftAlloc<B> for Module<B> {
fn new_scalar_znx_dft_from_bytes(&self, cols: usize, bytes: Vec<u8>) -> ScalarZnxDftOwned<B> {
ScalarZnxDftOwned::new_from_bytes(self, cols, bytes)
}
// fn new_scalar_znx_dft_from_bytes_borrow(&self, cols: usize, bytes: &mut [u8]) -> ScalarZnxDft<FFT64> {
// ScalarZnxDft::from_bytes_borrow(self, SCALAR_ZNX_DFT_ROWS, cols, SCALAR_ZNX_DFT_SIZE, bytes)
// }
}
impl<DataMut, Data> ScalarZnxDftOps<DataMut, Data, FFT64> for Module<FFT64>
impl ScalarZnxDftOps<FFT64> for Module<FFT64> {
fn svp_prepare<R, A>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
DataMut: AsMut<[u8]> + AsRef<[u8]>,
Data: AsRef<[u8]>,
R: ScalarZnxDftToMut<FFT64>,
A: ScalarToRef,
{
fn svp_prepare(&self, res: &mut ScalarZnxDft<DataMut, FFT64>, res_col: usize, a: &Scalar<Data>, a_col: usize) {
unsafe {
svp::svp_prepare(
self.ptr,
res.at_mut_ptr(res_col, 0) as *mut svp_ppol_t,
a.at_ptr(a_col, 0),
res.to_mut().at_mut_ptr(res_col, 0) as *mut svp::svp_ppol_t,
a.to_ref().at_ptr(a_col, 0),
)
}
}
fn svp_apply_dft(
&self,
res: &mut VecZnxDft<DataMut, FFT64>,
res_col: usize,
a: &ScalarZnxDft<Data, FFT64>,
a_col: usize,
b: &VecZnx<Data>,
b_col: usize,
) {
fn svp_apply<R, A, B>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize, b: &B, b_col: usize)
where
R: VecZnxDftToMut<FFT64>,
A: ScalarZnxDftToRef<FFT64>,
B: VecZnxToRef,
{
let mut res: VecZnxDft<&mut [u8], FFT64> = res.to_mut();
let a: ScalarZnxDft<&[u8], FFT64> = a.to_ref();
let b: VecZnx<&[u8]> = b.to_ref();
unsafe {
svp::svp_apply_dft(
self.ptr,
res.at_mut_ptr(res_col, 0) as *mut vec_znx_dft_t,
res.size() as u64,
a.at_ptr(a_col, 0) as *const svp_ppol_t,
a.at_ptr(a_col, 0) as *const svp::svp_ppol_t,
b.at_ptr(b_col, 0),
b.size() as u64,
b.sl() as u64,

77
base2k/src/vec_znx.rs
View File

@@ -1,14 +1,13 @@
use crate::DataView;
use crate::DataViewMut;
use crate::ZnxSliceSize;
use crate::alloc_aligned;
use crate::assert_alignement;
use crate::cast_mut;
use crate::ffi::znx;
use crate::znx_base::{ZnxInfos, ZnxView, ZnxViewMut, switch_degree};
use crate::znx_base::{ZnxInfos, ZnxView, ZnxViewMut};
use std::{cmp::min, fmt};
// pub const VEC_ZNX_ROWS: usize = 1;
/// [VecZnx] represents collection of contiguously stacked vector of small norm polynomials of
/// Zn\[X\] with [i64] coefficients.
/// A [VecZnx] is composed of multiple Zn\[X\] polynomials stored in a single contiguous array
@@ -20,7 +19,7 @@ use std::{cmp::min, fmt};
/// layout is: `[a0, b0, c0, a1, b1, c1, a2, b2, c2, a3, b3, c3]`, where ai, bi, ci
/// are small polynomials of Zn\[X\].
pub struct VecZnx<D> {
data: D,
pub data: D,
n: usize,
cols: usize,
size: usize,
@@ -42,9 +41,11 @@ impl<D> ZnxInfos for VecZnx<D> {
fn size(&self) -> usize {
self.size
}
}
impl<D> ZnxSliceSize for VecZnx<D> {
fn sl(&self) -> usize {
self.cols() * self.n()
self.n() * self.cols()
}
}
@@ -66,10 +67,6 @@ impl<D: AsRef<[u8]>> ZnxView for VecZnx<D> {
}
impl<D: AsMut<[u8]> + AsRef<[u8]>> VecZnx<D> {
pub fn normalize(&mut self, log_base2k: usize, col: usize, carry: &mut [u8]) {
normalize(log_base2k, self, col, carry)
}
/// Truncates the precision of the [VecZnx] by k bits.
///
/// # Arguments
@@ -92,11 +89,6 @@ impl<D: AsMut<[u8]> + AsRef<[u8]>> VecZnx<D> {
.for_each(|x: &mut i64| *x &= mask)
}
}
/// Switches degree of from `a.n()` to `self.n()` into `self`
pub fn switch_degree<Data: AsRef<[u8]>>(&mut self, col: usize, a: &VecZnx<Data>, col_a: usize) {
switch_degree(self, col_a, a, col)
}
}
impl<D: From<Vec<u8>>> VecZnx<D> {
@@ -126,6 +118,17 @@ impl<D: From<Vec<u8>>> VecZnx<D> {
}
}
impl<D> VecZnx<D> {
pub(crate) fn from_data(data: D, n: usize, cols: usize, size: usize) -> Self {
Self {
data,
n,
cols,
size,
}
}
}
/// Copies the coefficients of `a` on the receiver.
/// Copy is done with the minimum size matching both backing arrays.
/// Panics if the cols do not match.
@@ -141,10 +144,12 @@ where
data_b[..size].copy_from_slice(&data_a[..size])
}
#[allow(dead_code)]
fn normalize_tmp_bytes(n: usize) -> usize {
n * std::mem::size_of::<i64>()
}
#[allow(dead_code)]
fn normalize<D: AsMut<[u8]> + AsRef<[u8]>>(log_base2k: usize, a: &mut VecZnx<D>, a_col: usize, tmp_bytes: &mut [u8]) {
let n: usize = a.n();
@@ -216,8 +221,16 @@ pub type VecZnxOwned = VecZnx<Vec<u8>>;
pub type VecZnxMut<'a> = VecZnx<&'a mut [u8]>;
pub type VecZnxRef<'a> = VecZnx<&'a [u8]>;
impl VecZnx<Vec<u8>> {
pub fn to_mut(&mut self) -> VecZnx<&mut [u8]> {
pub trait VecZnxToRef {
fn to_ref(&self) -> VecZnx<&[u8]>;
}
pub trait VecZnxToMut {
fn to_mut(&mut self) -> VecZnx<&mut [u8]>;
}
impl VecZnxToMut for VecZnx<Vec<u8>> {
fn to_mut(&mut self) -> VecZnx<&mut [u8]> {
VecZnx {
data: self.data.as_mut_slice(),
n: self.n,
@@ -225,8 +238,10 @@ impl VecZnx<Vec<u8>> {
size: self.size,
}
}
}
pub fn to_ref(&self) -> VecZnx<&[u8]> {
impl VecZnxToRef for VecZnx<Vec<u8>> {
fn to_ref(&self) -> VecZnx<&[u8]> {
VecZnx {
data: self.data.as_slice(),
n: self.n,
@@ -236,10 +251,32 @@ impl VecZnx<Vec<u8>> {
}
}
impl VecZnx<&mut [u8]> {
pub fn to_ref(&self) -> VecZnx<&[u8]> {
impl VecZnxToMut for VecZnx<&mut [u8]> {
fn to_mut(&mut self) -> VecZnx<&mut [u8]> {
VecZnx {
data: &self.data,
data: self.data,
n: self.n,
cols: self.cols,
size: self.size,
}
}
}
impl VecZnxToRef for VecZnx<&mut [u8]> {
fn to_ref(&self) -> VecZnx<&[u8]> {
VecZnx {
data: self.data,
n: self.n,
cols: self.cols,
size: self.size,
}
}
}
impl VecZnxToRef for VecZnx<&[u8]> {
fn to_ref(&self) -> VecZnx<&[u8]> {
VecZnx {
data: self.data,
n: self.n,
cols: self.cols,
size: self.size,

71
base2k/src/vec_znx_big.rs
View File

@@ -1,12 +1,9 @@
use crate::ffi::vec_znx_big;
use crate::znx_base::{ZnxInfos, ZnxView};
use crate::{Backend, DataView, DataViewMut, FFT64, Module, alloc_aligned};
use crate::{Backend, DataView, DataViewMut, FFT64, Module, ZnxSliceSize, alloc_aligned};
use std::marker::PhantomData;
// const VEC_ZNX_BIG_ROWS: usize = 1;
/// VecZnxBig is `Backend` dependent, denoted with backend generic `B`
pub struct VecZnxBig<D, B> {
pub struct VecZnxBig<D, B: Backend> {
data: D,
n: usize,
cols: usize,
@@ -14,7 +11,7 @@ pub struct VecZnxBig<D, B> {
_phantom: PhantomData<B>,
}
impl<D, B> ZnxInfos for VecZnxBig<D, B> {
impl<D, B: Backend> ZnxInfos for VecZnxBig<D, B> {
fn cols(&self) -> usize {
self.cols
}
@@ -30,20 +27,22 @@ impl<D, B> ZnxInfos for VecZnxBig<D, B> {
fn size(&self) -> usize {
self.size
}
}
impl<D> ZnxSliceSize for VecZnxBig<D, FFT64> {
fn sl(&self) -> usize {
self.cols() * self.n()
self.n() * self.cols()
}
}
impl<D, B> DataView for VecZnxBig<D, B> {
impl<D, B: Backend> DataView for VecZnxBig<D, B> {
type D = D;
fn data(&self) -> &Self::D {
&self.data
}
}
impl<D, B> DataViewMut for VecZnxBig<D, B> {
impl<D, B: Backend> DataViewMut for VecZnxBig<D, B> {
fn data_mut(&mut self) -> &mut Self::D {
&mut self.data
}
@@ -82,7 +81,7 @@ impl<D: From<Vec<u8>>, B: Backend> VecZnxBig<D, B> {
}
}
impl<D, B> VecZnxBig<D, B> {
impl<D, B: Backend> VecZnxBig<D, B> {
pub(crate) fn from_data(data: D, n: usize, cols: usize, size: usize) -> Self {
Self {
data,
@@ -96,8 +95,16 @@ impl<D, B> VecZnxBig<D, B> {
pub type VecZnxBigOwned<B> = VecZnxBig<Vec<u8>, B>;
impl<B> VecZnxBig<Vec<u8>, B> {
pub fn to_mut(&mut self) -> VecZnxBig<&mut [u8], B> {
pub trait VecZnxBigToRef<B: Backend> {
fn to_ref(&self) -> VecZnxBig<&[u8], B>;
}
pub trait VecZnxBigToMut<B: Backend> {
fn to_mut(&mut self) -> VecZnxBig<&mut [u8], B>;
}
impl<B: Backend> VecZnxBigToMut<B> for VecZnxBig<Vec<u8>, B> {
fn to_mut(&mut self) -> VecZnxBig<&mut [u8], B> {
VecZnxBig {
data: self.data.as_mut_slice(),
n: self.n,
@@ -106,8 +113,10 @@ impl<B> VecZnxBig<Vec<u8>, B> {
_phantom: PhantomData,
}
}
}
pub fn to_ref(&self) -> VecZnxBig<&[u8], B> {
impl<B: Backend> VecZnxBigToRef<B> for VecZnxBig<Vec<u8>, B> {
fn to_ref(&self) -> VecZnxBig<&[u8], B> {
VecZnxBig {
data: self.data.as_slice(),
n: self.n,
@@ -117,3 +126,39 @@ impl<B> VecZnxBig<Vec<u8>, B> {
}
}
}
impl<B: Backend> VecZnxBigToMut<B> for VecZnxBig<&mut [u8], B> {
fn to_mut(&mut self) -> VecZnxBig<&mut [u8], B> {
VecZnxBig {
data: self.data,
n: self.n,
cols: self.cols,
size: self.size,
_phantom: PhantomData,
}
}
}
impl<B: Backend> VecZnxBigToRef<B> for VecZnxBig<&mut [u8], B> {
fn to_ref(&self) -> VecZnxBig<&[u8], B> {
VecZnxBig {
data: self.data,
n: self.n,
cols: self.cols,
size: self.size,
_phantom: PhantomData,
}
}
}
impl<B: Backend> VecZnxBigToRef<B> for VecZnxBig<&[u8], B> {
fn to_ref(&self) -> VecZnxBig<&[u8], B> {
VecZnxBig {
data: self.data,
n: self.n,
cols: self.cols,
size: self.size,
_phantom: PhantomData,
}
}
}

359
base2k/src/vec_znx_big_ops.rs
View File

@@ -1,8 +1,11 @@
use crate::ffi::vec_znx;
use crate::znx_base::{ZnxInfos, ZnxView, ZnxViewMut};
use crate::{Backend, FFT64, Module, Scratch, VecZnx, VecZnxBig, VecZnxBigOwned, VecZnxScratch, bytes_of_vec_znx_big};
use crate::{
Backend, FFT64, Module, Scratch, VecZnx, VecZnxBig, VecZnxBigOwned, VecZnxBigToMut, VecZnxBigToRef, VecZnxScratch,
VecZnxToMut, VecZnxToRef, ZnxSliceSize, bytes_of_vec_znx_big,
};
pub trait VecZnxBigAlloc<B> {
pub trait VecZnxBigAlloc<B: Backend> {
/// Allocates a vector Z[X]/(X^N+1) that stores not normalized values.
fn new_vec_znx_big(&self, cols: usize, size: usize) -> VecZnxBigOwned<B>;
@@ -39,79 +42,77 @@ pub trait VecZnxBigAlloc<B> {
fn bytes_of_vec_znx_big(&self, cols: usize, size: usize) -> usize;
}
pub trait VecZnxBigOps<DataMut, Data, B> {
pub trait VecZnxBigOps<BACKEND: Backend> {
/// Adds `a` to `b` and stores the result on `c`.
fn vec_znx_big_add(
&self,
res: &mut VecZnxBig<DataMut, B>,
res_col: usize,
a: &VecZnxBig<Data, B>,
a_col: usize,
b: &VecZnxBig<Data, B>,
b_col: usize,
);
fn vec_znx_big_add<R, A, B>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize, b: &B, b_col: usize)
where
R: VecZnxBigToMut<BACKEND>,
A: VecZnxBigToRef<BACKEND>,
B: VecZnxBigToRef<BACKEND>;
/// Adds `a` to `b` and stores the result on `b`.
fn vec_znx_big_add_inplace(&self, res: &mut VecZnxBig<DataMut, B>, res_col: usize, a: &VecZnxBig<Data, B>, a_col: usize);
fn vec_znx_big_add_inplace<R, A>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxBigToMut<BACKEND>,
A: VecZnxBigToRef<BACKEND>;
/// Adds `a` to `b` and stores the result on `c`.
fn vec_znx_big_add_small(
&self,
res: &mut VecZnxBig<DataMut, B>,
res_col: usize,
a: &VecZnxBig<Data, B>,
a_col: usize,
b: &VecZnx<Data>,
b_col: usize,
);
fn vec_znx_big_add_small<R, A, B>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize, b: &B, b_col: usize)
where
R: VecZnxBigToMut<BACKEND>,
A: VecZnxBigToRef<BACKEND>,
B: VecZnxToRef;
/// Adds `a` to `b` and stores the result on `b`.
fn vec_znx_big_add_small_inplace(&self, res: &mut VecZnxBig<DataMut, B>, res_col: usize, a: &VecZnx<Data>, a_col: usize);
fn vec_znx_big_add_small_inplace<R, A>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxBigToMut<BACKEND>,
A: VecZnxToRef;
/// Subtracts `a` to `b` and stores the result on `c`.
fn vec_znx_big_sub(
&self,
res: &mut VecZnxBig<DataMut, B>,
res_col: usize,
a: &VecZnxBig<Data, B>,
a_col: usize,
b: &VecZnxBig<Data, B>,
b_col: usize,
);
fn vec_znx_big_sub<R, A, B>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize, b: &B, b_col: usize)
where
R: VecZnxBigToMut<BACKEND>,
A: VecZnxBigToRef<BACKEND>,
B: VecZnxBigToRef<BACKEND>;
/// Subtracts `a` from `b` and stores the result on `b`.
fn vec_znx_big_sub_ab_inplace(&self, res: &mut VecZnxBig<DataMut, B>, res_col: usize, a: &VecZnxBig<Data, B>, a_col: usize);
fn vec_znx_big_sub_ab_inplace<R, A>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxBigToMut<BACKEND>,
A: VecZnxBigToRef<BACKEND>;
/// Subtracts `b` from `a` and stores the result on `b`.
fn vec_znx_big_sub_ba_inplace(&self, res: &mut VecZnxBig<DataMut, B>, res_col: usize, a: &VecZnxBig<Data, B>, a_col: usize);
fn vec_znx_big_sub_ba_inplace<R, A>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxBigToMut<BACKEND>,
A: VecZnxBigToRef<BACKEND>;
/// Subtracts `b` from `a` and stores the result on `c`.
fn vec_znx_big_sub_small_a(
&self,
res: &mut VecZnxBig<DataMut, B>,
res_col: usize,
a: &VecZnx<Data>,
a_col: usize,
b: &VecZnxBig<Data, B>,
b_col: usize,
);
fn vec_znx_big_sub_small_a<R, A, B>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize, b: &B, b_col: usize)
where
R: VecZnxBigToMut<BACKEND>,
A: VecZnxToRef,
B: VecZnxBigToRef<BACKEND>;
/// Subtracts `a` from `res` and stores the result on `res`.
fn vec_znx_big_sub_small_a_inplace(&self, res: &mut VecZnxBig<DataMut, B>, res_col: usize, a: &VecZnx<Data>, a_col: usize);
fn vec_znx_big_sub_small_a_inplace<R, A>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxBigToMut<BACKEND>,
A: VecZnxToRef;
/// Subtracts `b` from `a` and stores the result on `c`.
fn vec_znx_big_sub_small_b(
&self,
res: &mut VecZnxBig<DataMut, B>,
res_col: usize,
a: &VecZnxBig<Data, B>,
a_col: usize,
b: &VecZnx<Data>,
b_col: usize,
);
fn vec_znx_big_sub_small_b<R, A, B>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize, b: &B, b_col: usize)
where
R: VecZnxBigToMut<BACKEND>,
A: VecZnxBigToRef<BACKEND>,
B: VecZnxToRef;
/// Subtracts `res` from `a` and stores the result on `res`.
fn vec_znx_big_sub_small_b_inplace(&self, res: &mut VecZnxBig<DataMut, B>, res_col: usize, a: &VecZnx<Data>, a_col: usize);
fn vec_znx_big_sub_small_b_inplace<R, A>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxBigToMut<BACKEND>,
A: VecZnxToRef;
/// Normalizes `a` and stores the result on `b`.
///
@@ -119,28 +120,28 @@ pub trait VecZnxBigOps<DataMut, Data, B> {
///
/// * `log_base2k`: normalization basis.
/// * `tmp_bytes`: scratch space of size at least [VecZnxBigOps::vec_znx_big_normalize].
fn vec_znx_big_normalize(
fn vec_znx_big_normalize<R, A>(
&self,
log_base2k: usize,
res: &mut VecZnx<DataMut>,
res: &mut R,
res_col: usize,
a: &VecZnxBig<Data, B>,
a: &A,
a_col: usize,
scratch: &mut Scratch,
);
) where
R: VecZnxToMut,
A: VecZnxBigToRef<BACKEND>;
/// Applies the automorphism X^i -> X^ik on `a` and stores the result on `b`.
fn vec_znx_big_automorphism(
&self,
k: i64,
res: &mut VecZnxBig<DataMut, B>,
res_col: usize,
a: &VecZnxBig<Data, B>,
a_col: usize,
);
fn vec_znx_big_automorphism<R, A>(&self, k: i64, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxBigToMut<BACKEND>,
A: VecZnxBigToRef<BACKEND>;
/// Applies the automorphism X^i -> X^ik on `a` and stores the result on `a`.
fn vec_znx_big_automorphism_inplace(&self, k: i64, a: &mut VecZnxBig<DataMut, B>, a_col: usize);
fn vec_znx_big_automorphism_inplace<A>(&self, k: i64, a: &mut A, a_col: usize)
where
A: VecZnxBigToMut<BACKEND>;
}
pub trait VecZnxBigScratch {
@@ -157,29 +158,22 @@ impl VecZnxBigAlloc<FFT64> for Module<FFT64> {
VecZnxBig::new_from_bytes(self, cols, size, bytes)
}
// fn new_vec_znx_big_from_bytes_borrow(&self, cols: usize, size: usize, tmp_bytes: &mut [u8]) -> VecZnxBig<FFT64> {
// VecZnxBig::from_bytes_borrow(self, 1, cols, size, tmp_bytes)
// }
fn bytes_of_vec_znx_big(&self, cols: usize, size: usize) -> usize {
bytes_of_vec_znx_big(self, cols, size)
}
}
impl<DataMut, Data> VecZnxBigOps<DataMut, Data, FFT64> for Module<FFT64>
impl VecZnxBigOps<FFT64> for Module<FFT64> {
fn vec_znx_big_add<R, A, B>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize, b: &B, b_col: usize)
where
DataMut: AsMut<[u8]> + AsRef<[u8]>,
Data: AsRef<[u8]>,
R: VecZnxBigToMut<FFT64>,
A: VecZnxBigToRef<FFT64>,
B: VecZnxBigToRef<FFT64>,
{
fn vec_znx_big_add(
&self,
res: &mut VecZnxBig<DataMut, FFT64>,
res_col: usize,
a: &VecZnxBig<Data, FFT64>,
a_col: usize,
b: &VecZnxBig<Data, FFT64>,
b_col: usize,
) {
let a: VecZnxBig<&[u8], FFT64> = a.to_ref();
let b: VecZnxBig<&[u8], FFT64> = b.to_ref();
let mut res: VecZnxBig<&mut [u8], FFT64> = res.to_mut();
#[cfg(debug_assertions)]
{
assert_eq!(a.n(), self.n());
@@ -203,13 +197,14 @@ where
}
}
fn vec_znx_big_add_inplace(
&self,
res: &mut VecZnxBig<DataMut, FFT64>,
res_col: usize,
a: &VecZnxBig<Data, FFT64>,
a_col: usize,
) {
fn vec_znx_big_add_inplace<R, A>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxBigToMut<FFT64>,
A: VecZnxBigToRef<FFT64>,
{
let a: VecZnxBig<&[u8], FFT64> = a.to_ref();
let mut res: VecZnxBig<&mut [u8], FFT64> = res.to_mut();
#[cfg(debug_assertions)]
{
assert_eq!(a.n(), self.n());
@@ -231,15 +226,16 @@ where
}
}
fn vec_znx_big_sub(
&self,
res: &mut VecZnxBig<DataMut, FFT64>,
res_col: usize,
a: &VecZnxBig<Data, FFT64>,
a_col: usize,
b: &VecZnxBig<Data, FFT64>,
b_col: usize,
) {
fn vec_znx_big_sub<R, A, B>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize, b: &B, b_col: usize)
where
R: VecZnxBigToMut<FFT64>,
A: VecZnxBigToRef<FFT64>,
B: VecZnxBigToRef<FFT64>,
{
let a: VecZnxBig<&[u8], FFT64> = a.to_ref();
let b: VecZnxBig<&[u8], FFT64> = b.to_ref();
let mut res: VecZnxBig<&mut [u8], FFT64> = res.to_mut();
#[cfg(debug_assertions)]
{
assert_eq!(a.n(), self.n());
@@ -263,13 +259,14 @@ where
}
}
fn vec_znx_big_sub_ab_inplace(
&self,
res: &mut VecZnxBig<DataMut, FFT64>,
res_col: usize,
a: &VecZnxBig<Data, FFT64>,
a_col: usize,
) {
fn vec_znx_big_sub_ab_inplace<R, A>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxBigToMut<FFT64>,
A: VecZnxBigToRef<FFT64>,
{
let a: VecZnxBig<&[u8], FFT64> = a.to_ref();
let mut res: VecZnxBig<&mut [u8], FFT64> = res.to_mut();
#[cfg(debug_assertions)]
{
assert_eq!(a.n(), self.n());
@@ -291,13 +288,14 @@ where
}
}
fn vec_znx_big_sub_ba_inplace(
&self,
res: &mut VecZnxBig<DataMut, FFT64>,
res_col: usize,
a: &VecZnxBig<Data, FFT64>,
a_col: usize,
) {
fn vec_znx_big_sub_ba_inplace<R, A>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxBigToMut<FFT64>,
A: VecZnxBigToRef<FFT64>,
{
let a: VecZnxBig<&[u8], FFT64> = a.to_ref();
let mut res: VecZnxBig<&mut [u8], FFT64> = res.to_mut();
#[cfg(debug_assertions)]
{
assert_eq!(a.n(), self.n());
@@ -319,15 +317,16 @@ where
}
}
fn vec_znx_big_sub_small_b(
&self,
res: &mut VecZnxBig<DataMut, FFT64>,
res_col: usize,
a: &VecZnxBig<Data, FFT64>,
a_col: usize,
b: &VecZnx<Data>,
b_col: usize,
) {
fn vec_znx_big_sub_small_b<R, A, B>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize, b: &B, b_col: usize)
where
R: VecZnxBigToMut<FFT64>,
A: VecZnxBigToRef<FFT64>,
B: VecZnxToRef,
{
let a: VecZnxBig<&[u8], FFT64> = a.to_ref();
let b: VecZnx<&[u8]> = b.to_ref();
let mut res: VecZnxBig<&mut [u8], FFT64> = res.to_mut();
#[cfg(debug_assertions)]
{
assert_eq!(a.n(), self.n());
@@ -351,13 +350,14 @@ where
}
}
fn vec_znx_big_sub_small_b_inplace(
&self,
res: &mut VecZnxBig<DataMut, FFT64>,
res_col: usize,
a: &VecZnx<Data>,
a_col: usize,
) {
fn vec_znx_big_sub_small_b_inplace<R, A>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxBigToMut<FFT64>,
A: VecZnxToRef,
{
let a: VecZnx<&[u8]> = a.to_ref();
let mut res: VecZnxBig<&mut [u8], FFT64> = res.to_mut();
#[cfg(debug_assertions)]
{
assert_eq!(a.n(), self.n());
@@ -379,15 +379,16 @@ where
}
}
fn vec_znx_big_sub_small_a(
&self,
res: &mut VecZnxBig<DataMut, FFT64>,
res_col: usize,
a: &VecZnx<Data>,
a_col: usize,
b: &VecZnxBig<Data, FFT64>,
b_col: usize,
) {
fn vec_znx_big_sub_small_a<R, A, B>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize, b: &B, b_col: usize)
where
R: VecZnxBigToMut<FFT64>,
A: VecZnxToRef,
B: VecZnxBigToRef<FFT64>,
{
let a: VecZnx<&[u8]> = a.to_ref();
let b: VecZnxBig<&[u8], FFT64> = b.to_ref();
let mut res: VecZnxBig<&mut [u8], FFT64> = res.to_mut();
#[cfg(debug_assertions)]
{
assert_eq!(a.n(), self.n());
@@ -411,13 +412,14 @@ where
}
}
fn vec_znx_big_sub_small_a_inplace(
&self,
res: &mut VecZnxBig<DataMut, FFT64>,
res_col: usize,
a: &VecZnx<Data>,
a_col: usize,
) {
fn vec_znx_big_sub_small_a_inplace<R, A>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxBigToMut<FFT64>,
A: VecZnxToRef,
{
let a: VecZnx<&[u8]> = a.to_ref();
let mut res: VecZnxBig<&mut [u8], FFT64> = res.to_mut();
#[cfg(debug_assertions)]
{
assert_eq!(a.n(), self.n());
@@ -439,15 +441,16 @@ where
}
}
fn vec_znx_big_add_small(
&self,
res: &mut VecZnxBig<DataMut, FFT64>,
res_col: usize,
a: &VecZnxBig<Data, FFT64>,
a_col: usize,
b: &VecZnx<Data>,
b_col: usize,
) {
fn vec_znx_big_add_small<R, A, B>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize, b: &B, b_col: usize)
where
R: VecZnxBigToMut<FFT64>,
A: VecZnxBigToRef<FFT64>,
B: VecZnxToRef,
{
let a: VecZnxBig<&[u8], FFT64> = a.to_ref();
let b: VecZnx<&[u8]> = b.to_ref();
let mut res: VecZnxBig<&mut [u8], FFT64> = res.to_mut();
#[cfg(debug_assertions)]
{
assert_eq!(a.n(), self.n());
@@ -471,7 +474,14 @@ where
}
}
fn vec_znx_big_add_small_inplace(&self, res: &mut VecZnxBig<DataMut, FFT64>, res_col: usize, a: &VecZnx<Data>, a_col: usize) {
fn vec_znx_big_add_small_inplace<R, A>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxBigToMut<FFT64>,
A: VecZnxToRef,
{
let a: VecZnx<&[u8]> = a.to_ref();
let mut res: VecZnxBig<&mut [u8], FFT64> = res.to_mut();
#[cfg(debug_assertions)]
{
assert_eq!(a.n(), self.n());
@@ -493,22 +503,28 @@ where
}
}
fn vec_znx_big_normalize(
fn vec_znx_big_normalize<R, A>(
&self,
log_base2k: usize,
res: &mut VecZnx<DataMut>,
res: &mut R,
res_col: usize,
a: &VecZnxBig<Data, FFT64>,
a: &A,
a_col: usize,
scratch: &mut Scratch,
) {
) where
R: VecZnxToMut,
A: VecZnxBigToRef<FFT64>,
{
let a: VecZnxBig<&[u8], FFT64> = a.to_ref();
let mut res: VecZnx<&mut [u8]> = res.to_mut();
#[cfg(debug_assertions)]
{
assert_eq!(a.n(), self.n());
assert_eq!(res.n(), self.n());
//(Jay)Note: This is calling VezZnxOps::vec_znx_normalize_tmp_bytes and not VecZnxBigOps::vec_znx_big_normalize_tmp_bytes.
// In the FFT backend the tmp sizes are same but will be different in the NTT backend
// assert!(tmp_bytes.len() >= <Self as VecZnxOps<DataMut, Data>>::vec_znx_normalize_tmp_bytes(&self));
// assert!(tmp_bytes.len() >= <Self as VecZnxOps<&mut [u8], & [u8]>>::vec_znx_normalize_tmp_bytes(&self));
// assert_alignement(tmp_bytes.as_ptr());
}
@@ -530,14 +546,14 @@ where
}
}
fn vec_znx_big_automorphism(
&self,
k: i64,
res: &mut VecZnxBig<DataMut, FFT64>,
res_col: usize,
a: &VecZnxBig<Data, FFT64>,
a_col: usize,
) {
fn vec_znx_big_automorphism<R, A>(&self, k: i64, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxBigToMut<FFT64>,
A: VecZnxBigToRef<FFT64>,
{
let a: VecZnxBig<&[u8], FFT64> = a.to_ref();
let mut res: VecZnxBig<&mut [u8], FFT64> = res.to_mut();
#[cfg(debug_assertions)]
{
assert_eq!(a.n(), self.n());
@@ -557,7 +573,12 @@ where
}
}
fn vec_znx_big_automorphism_inplace(&self, k: i64, a: &mut VecZnxBig<DataMut, FFT64>, a_col: usize) {
fn vec_znx_big_automorphism_inplace<A>(&self, k: i64, a: &mut A, a_col: usize)
where
A: VecZnxBigToMut<FFT64>,
{
let mut a: VecZnxBig<&mut [u8], FFT64> = a.to_mut();
#[cfg(debug_assertions)]
{
assert_eq!(a.n(), self.n());

65
base2k/src/vec_znx_dft.rs
View File

@@ -2,12 +2,9 @@ use std::marker::PhantomData;
use crate::ffi::vec_znx_dft;
use crate::znx_base::ZnxInfos;
use crate::{Backend, DataView, DataViewMut, FFT64, Module, ZnxView, alloc_aligned};
use crate::{Backend, DataView, DataViewMut, FFT64, Module, ZnxSliceSize, ZnxView, alloc_aligned};
// const VEC_ZNX_DFT_ROWS: usize = 1;
// VecZnxDft is `Backend` dependent denoted with generic `B`
pub struct VecZnxDft<D, B> {
pub struct VecZnxDft<D, B: Backend> {
data: D,
n: usize,
cols: usize,
@@ -15,7 +12,7 @@ pub struct VecZnxDft<D, B> {
_phantom: PhantomData<B>,
}
impl<D, B> ZnxInfos for VecZnxDft<D, B> {
impl<D, B: Backend> ZnxInfos for VecZnxDft<D, B> {
fn cols(&self) -> usize {
self.cols
}
@@ -31,20 +28,22 @@ impl<D, B> ZnxInfos for VecZnxDft<D, B> {
fn size(&self) -> usize {
self.size
}
}
impl<D> ZnxSliceSize for VecZnxDft<D, FFT64> {
fn sl(&self) -> usize {
self.cols() * self.n()
self.n() * self.cols()
}
}
impl<D, B> DataView for VecZnxDft<D, B> {
impl<D, B: Backend> DataView for VecZnxDft<D, B> {
type D = D;
fn data(&self) -> &Self::D {
&self.data
}
}
impl<D, B> DataViewMut for VecZnxDft<D, B> {
impl<D, B: Backend> DataViewMut for VecZnxDft<D, B> {
fn data_mut(&mut self) -> &mut Self::D {
&mut self.data
}
@@ -85,7 +84,7 @@ impl<D: From<Vec<u8>>, B: Backend> VecZnxDft<D, B> {
pub type VecZnxDftOwned<B> = VecZnxDft<Vec<u8>, B>;
impl<D, B> VecZnxDft<D, B> {
impl<D, B: Backend> VecZnxDft<D, B> {
pub(crate) fn from_data(data: D, n: usize, cols: usize, size: usize) -> Self {
Self {
data,
@@ -97,8 +96,16 @@ impl<D, B> VecZnxDft<D, B> {
}
}
impl<B> VecZnxDft<Vec<u8>, B> {
pub fn to_mut(&mut self) -> VecZnxDft<&mut [u8], B> {
pub trait VecZnxDftToRef<B: Backend> {
fn to_ref(&self) -> VecZnxDft<&[u8], B>;
}
pub trait VecZnxDftToMut<B: Backend> {
fn to_mut(&mut self) -> VecZnxDft<&mut [u8], B>;
}
impl<B: Backend> VecZnxDftToMut<B> for VecZnxDft<Vec<u8>, B> {
fn to_mut(&mut self) -> VecZnxDft<&mut [u8], B> {
VecZnxDft {
data: self.data.as_mut_slice(),
n: self.n,
@@ -107,8 +114,10 @@ impl<B> VecZnxDft<Vec<u8>, B> {
_phantom: PhantomData,
}
}
}
pub fn to_ref(&self) -> VecZnxDft<&[u8], B> {
impl<B: Backend> VecZnxDftToRef<B> for VecZnxDft<Vec<u8>, B> {
fn to_ref(&self) -> VecZnxDft<&[u8], B> {
VecZnxDft {
data: self.data.as_slice(),
n: self.n,
@@ -119,10 +128,34 @@ impl<B> VecZnxDft<Vec<u8>, B> {
}
}
impl<B> VecZnxDft<&mut [u8], B> {
pub fn to_ref(&self) -> VecZnxDft<&[u8], B> {
impl<B: Backend> VecZnxDftToMut<B> for VecZnxDft<&mut [u8], B> {
fn to_mut(&mut self) -> VecZnxDft<&mut [u8], B> {
VecZnxDft {
data: &self.data,
data: self.data,
n: self.n,
cols: self.cols,
size: self.size,
_phantom: PhantomData,
}
}
}
impl<B: Backend> VecZnxDftToRef<B> for VecZnxDft<&mut [u8], B> {
fn to_ref(&self) -> VecZnxDft<&[u8], B> {
VecZnxDft {
data: self.data,
n: self.n,
cols: self.cols,
size: self.size,
_phantom: PhantomData,
}
}
}
impl<B: Backend> VecZnxDftToRef<B> for VecZnxDft<&[u8], B> {
fn to_ref(&self) -> VecZnxDft<&[u8], B> {
VecZnxDft {
data: self.data,
n: self.n,
cols: self.cols,
size: self.size,

117
base2k/src/vec_znx_dft_ops.rs
View File

@@ -1,11 +1,11 @@
use crate::ffi::{vec_znx_big, vec_znx_dft};
use crate::vec_znx_dft::bytes_of_vec_znx_dft;
use crate::znx_base::ZnxInfos;
use crate::{Backend, VecZnxDftOwned};
use crate::{FFT64, Module, VecZnx, VecZnxBig, VecZnxDft, ZnxView, ZnxViewMut, ZnxZero, assert_alignement};
use crate::{Backend, Scratch, VecZnxBigToMut, VecZnxDftOwned, VecZnxDftToMut, VecZnxDftToRef, VecZnxToRef, ZnxSliceSize};
use crate::{FFT64, Module, ZnxView, ZnxViewMut, ZnxZero};
use std::cmp::min;
pub trait VecZnxDftAlloc<B> {
pub trait VecZnxDftAlloc<B: Backend> {
/// Allocates a vector Z[X]/(X^N+1) that stores normalized in the DFT space.
fn new_vec_znx_dft(&self, cols: usize, size: usize) -> VecZnxDftOwned<B>;
@@ -34,24 +34,26 @@ pub trait VecZnxDftAlloc<B> {
fn bytes_of_vec_znx_dft(&self, cols: usize, size: usize) -> usize;
}
pub trait VecZnxDftOps<DataMut, Data, B> {
pub trait VecZnxDftOps<B: Backend> {
/// Returns the minimum number of bytes necessary to allocate
/// a new [VecZnxDft] through [VecZnxDft::from_bytes].
fn vec_znx_idft_tmp_bytes(&self) -> usize;
/// b <- IDFT(a), uses a as scratch space.
fn vec_znx_idft_tmp_a(&self, res: &mut VecZnxBig<DataMut, B>, res_col: usize, a: &mut VecZnxDft<DataMut, B>, a_cols: usize);
fn vec_znx_idft_tmp_a<R, A>(&self, res: &mut R, res_col: usize, a: &mut A, a_cols: usize)
where
R: VecZnxBigToMut<B>,
A: VecZnxDftToMut<B>;
fn vec_znx_idft(
&self,
res: &mut VecZnxBig<DataMut, B>,
res_col: usize,
a: &VecZnxDft<Data, B>,
a_col: usize,
tmp_bytes: &mut [u8],
);
fn vec_znx_idft<R, A>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize, scratch: &mut Scratch)
where
R: VecZnxBigToMut<B>,
A: VecZnxDftToRef<B>;
fn vec_znx_dft(&self, res: &mut VecZnxDft<DataMut, B>, res_col: usize, a: &VecZnx<Data>, a_col: usize);
fn vec_znx_dft<R, A>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxDftToMut<B>,
A: VecZnxToRef;
}
impl<B: Backend> VecZnxDftAlloc<B> for Module<B> {
@@ -63,41 +65,34 @@ impl<B: Backend> VecZnxDftAlloc<B> for Module<B> {
VecZnxDftOwned::new_from_bytes(self, cols, size, bytes)
}
// fn new_vec_znx_dft_from_bytes_borrow(&self, cols: usize, size: usize, bytes: &mut [u8]) -> VecZnxDft<FFT64> {
// VecZnxDft::from_bytes_borrow(self, 1, cols, size, bytes)
// }
fn bytes_of_vec_znx_dft(&self, cols: usize, size: usize) -> usize {
bytes_of_vec_znx_dft(self, cols, size)
}
}
impl<DataMut, Data> VecZnxDftOps<DataMut, Data, FFT64> for Module<FFT64>
impl VecZnxDftOps<FFT64> for Module<FFT64> {
fn vec_znx_idft_tmp_a<R, A>(&self, res: &mut R, res_col: usize, a: &mut A, a_col: usize)
where
DataMut: AsMut<[u8]> + AsRef<[u8]>,
Data: AsRef<[u8]>,
R: VecZnxBigToMut<FFT64>,
A: VecZnxDftToMut<FFT64>,
{
fn vec_znx_idft_tmp_a(
&self,
res: &mut VecZnxBig<DataMut, FFT64>,
res_col: usize,
a: &mut VecZnxDft<DataMut, FFT64>,
a_col: usize,
) {
let min_size: usize = min(res.size(), a.size());
let mut res_mut = res.to_mut();
let mut a_mut = a.to_mut();
let min_size: usize = min(res_mut.size(), a_mut.size());
unsafe {
(0..min_size).for_each(|j| {
vec_znx_dft::vec_znx_idft_tmp_a(
self.ptr,
res.at_mut_ptr(res_col, j) as *mut vec_znx_big::vec_znx_big_t,
res_mut.at_mut_ptr(res_col, j) as *mut vec_znx_big::vec_znx_big_t,
1 as u64,
a.at_mut_ptr(a_col, j) as *mut vec_znx_dft::vec_znx_dft_t,
a_mut.at_mut_ptr(a_col, j) as *mut vec_znx_dft::vec_znx_dft_t,
1 as u64,
)
});
(min_size..res.size()).for_each(|j| {
res.zero_at(res_col, j);
(min_size..res_mut.size()).for_each(|j| {
res_mut.zero_at(res_col, j);
})
}
}
@@ -110,61 +105,59 @@ where
///
/// # Panics
/// If b.cols < a_cols
fn vec_znx_dft(&self, res: &mut VecZnxDft<DataMut, FFT64>, res_col: usize, a: &VecZnx<Data>, a_col: usize) {
let min_size: usize = min(res.size(), a.size());
fn vec_znx_dft<R, A>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxDftToMut<FFT64>,
A: VecZnxToRef,
{
let mut res_mut = res.to_mut();
let a_ref = a.to_ref();
let min_size: usize = min(res_mut.size(), a_ref.size());
unsafe {
(0..min_size).for_each(|j| {
vec_znx_dft::vec_znx_dft(
self.ptr,
res.at_mut_ptr(res_col, j) as *mut vec_znx_dft::vec_znx_dft_t,
res_mut.at_mut_ptr(res_col, j) as *mut vec_znx_dft::vec_znx_dft_t,
1 as u64,
a.at_ptr(a_col, j),
a_ref.at_ptr(a_col, j),
1 as u64,
a.sl() as u64,
a_ref.sl() as u64,
)
});
(min_size..res.size()).for_each(|j| {
res.zero_at(res_col, j);
(min_size..res_mut.size()).for_each(|j| {
res_mut.zero_at(res_col, j);
});
}
}
// b <- IDFT(a), scratch space size obtained with [vec_znx_idft_tmp_bytes].
fn vec_znx_idft(
&self,
res: &mut VecZnxBig<DataMut, FFT64>,
res_col: usize,
a: &VecZnxDft<Data, FFT64>,
a_col: usize,
tmp_bytes: &mut [u8],
) {
#[cfg(debug_assertions)]
fn vec_znx_idft<R, A>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize, scratch: &mut Scratch)
where
R: VecZnxBigToMut<FFT64>,
A: VecZnxDftToRef<FFT64>,
{
assert!(
tmp_bytes.len() >= <Self as VecZnxDftOps<DataMut, DataMut, FFT64>>::vec_znx_idft_tmp_bytes(self),
"invalid tmp_bytes: tmp_bytes.len()={} < self.vec_znx_idft_tmp_bytes()={}",
tmp_bytes.len(),
<Self as VecZnxDftOps<DataMut, DataMut, FFT64>>::vec_znx_idft_tmp_bytes(self)
);
assert_alignement(tmp_bytes.as_ptr())
}
let mut res_mut = res.to_mut();
let a_ref = a.to_ref();
let min_size: usize = min(res.size(), a.size());
let (tmp_bytes, _) = scratch.tmp_scalar_slice(self.vec_znx_idft_tmp_bytes());
let min_size: usize = min(res_mut.size(), a_ref.size());
unsafe {
(0..min_size).for_each(|j| {
vec_znx_dft::vec_znx_idft(
self.ptr,
res.at_mut_ptr(res_col, j) as *mut vec_znx_big::vec_znx_big_t,
res_mut.at_mut_ptr(res_col, j) as *mut vec_znx_big::vec_znx_big_t,
1 as u64,
a.at_ptr(a_col, j) as *const vec_znx_dft::vec_znx_dft_t,
a_ref.at_ptr(a_col, j) as *const vec_znx_dft::vec_znx_dft_t,
1 as u64,
tmp_bytes.as_mut_ptr(),
)
});
(min_size..res.size()).for_each(|j| {
res.zero_at(res_col, j);
(min_size..res_mut.size()).for_each(|j| {
res_mut.zero_at(res_col, j);
});
}
}

367
base2k/src/vec_znx_ops.rs
View File

@@ -1,6 +1,9 @@
use crate::ffi::vec_znx;
use crate::znx_base::{ZnxInfos, switch_degree};
use crate::{Backend, Module, VecZnx, VecZnxOwned, ZnxView, ZnxViewMut, assert_alignement};
use crate::{
Backend, Module, Scratch, VecZnx, VecZnxOwned, VecZnxToMut, VecZnxToRef, ZnxInfos, ZnxSliceSize, ZnxView, ZnxViewMut, ZnxZero,
};
use itertools::izip;
use std::cmp::min;
pub trait VecZnxAlloc {
/// Allocates a new [VecZnx].
@@ -29,73 +32,86 @@ pub trait VecZnxAlloc {
fn bytes_of_vec_znx(&self, cols: usize, size: usize) -> usize;
}
pub trait VecZnxOps<DataMut, Data> {
pub trait VecZnxOps {
/// Normalizes the selected column of `a` and stores the result into the selected column of `res`.
fn vec_znx_normalize(
&self,
log_base2k: usize,
res: &mut VecZnx<DataMut>,
res_col: usize,
a: &VecZnx<Data>,
a_col: usize,
tmp_bytes: &mut [u8],
);
fn vec_znx_normalize<R, A>(&self, log_base2k: usize, res: &mut R, res_col: usize, a: &A, a_col: usize, scratch: &mut Scratch)
where
R: VecZnxToMut,
A: VecZnxToRef;
/// Normalizes the selected column of `a`.
fn vec_znx_normalize_inplace(&self, log_base2k: usize, a: &mut VecZnx<DataMut>, a_col: usize, tmp_bytes: &mut [u8]);
fn vec_znx_normalize_inplace<A>(&self, log_base2k: usize, a: &mut A, a_col: usize, scratch: &mut Scratch)
where
A: VecZnxToMut;
/// Adds the selected column of `a` to the selected column of `b` and writes the result on the selected column of `res`.
fn vec_znx_add(
&self,
res: &mut VecZnx<DataMut>,
res_col: usize,
a: &VecZnx<Data>,
a_col: usize,
b: &VecZnx<Data>,
b_col: usize,
);
fn vec_znx_add<R, A, B>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize, b: &B, b_col: usize)
where
R: VecZnxToMut,
A: VecZnxToRef,
B: VecZnxToRef;
/// Adds the selected column of `a` to the selected column of `b` and writes the result on the selected column of `res`.
fn vec_znx_add_inplace(&self, res: &mut VecZnx<DataMut>, res_col: usize, a: &VecZnx<Data>, a_col: usize);
fn vec_znx_add_inplace<R, A>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxToMut,
A: VecZnxToRef;
/// Subtracts the selected column of `b` from the selected column of `a` and writes the result on the selected column of `res`.
fn vec_znx_sub(
&self,
res: &mut VecZnx<DataMut>,
res_col: usize,
a: &VecZnx<Data>,
a_col: usize,
b: &VecZnx<Data>,
b_col: usize,
);
fn vec_znx_sub<R, A, B>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize, b: &B, b_col: usize)
where
R: VecZnxToMut,
A: VecZnxToRef,
B: VecZnxToRef;
/// Subtracts the selected column of `a` from the selected column of `res` inplace.
///
/// res[res_col] -= a[a_col]
fn vec_znx_sub_ab_inplace(&self, res: &mut VecZnx<DataMut>, res_col: usize, a: &VecZnx<Data>, a_col: usize);
fn vec_znx_sub_ab_inplace<R, A>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxToMut,
A: VecZnxToRef;
/// Subtracts the selected column of `res` from the selected column of `a` and inplace mutates `res`
///
/// res[res_col] = a[a_col] - res[res_col]
fn vec_znx_sub_ba_inplace(&self, res: &mut VecZnx<DataMut>, res_col: usize, a: &VecZnx<Data>, a_col: usize);
fn vec_znx_sub_ba_inplace<R, A>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxToMut,
A: VecZnxToRef;
// Negates the selected column of `a` and stores the result in `res_col` of `res`.
fn vec_znx_negate(&self, res: &mut VecZnx<DataMut>, res_col: usize, a: &VecZnx<Data>, a_col: usize);
fn vec_znx_negate<R, A>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxToMut,
A: VecZnxToRef;
/// Negates the selected column of `a`.
fn vec_znx_negate_inplace(&self, a: &mut VecZnx<DataMut>, a_col: usize);
fn vec_znx_negate_inplace<A>(&self, a: &mut A, a_col: usize)
where
A: VecZnxToMut;
/// Multiplies the selected column of `a` by X^k and stores the result in `res_col` of `res`.
fn vec_znx_rotate(&self, k: i64, res: &mut VecZnx<DataMut>, res_col: usize, a: &VecZnx<Data>, a_col: usize);
fn vec_znx_rotate<R, A>(&self, k: i64, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxToMut,
A: VecZnxToRef;
/// Multiplies the selected column of `a` by X^k.
fn vec_znx_rotate_inplace(&self, k: i64, a: &mut VecZnx<DataMut>, a_col: usize);
fn vec_znx_rotate_inplace<A>(&self, k: i64, a: &mut A, a_col: usize)
where
A: VecZnxToMut;
/// Applies the automorphism X^i -> X^ik on the selected column of `a` and stores the result in `res_col` column of `res`.
fn vec_znx_automorphism(&self, k: i64, res: &mut VecZnx<DataMut>, res_col: usize, a: &VecZnx<Data>, a_col: usize);
fn vec_znx_automorphism<R, A>(&self, k: i64, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxToMut,
A: VecZnxToRef;
/// Applies the automorphism X^i -> X^ik on the selected column of `a`.
fn vec_znx_automorphism_inplace(&self, k: i64, a: &mut VecZnx<DataMut>, a_col: usize);
fn vec_znx_automorphism_inplace<A>(&self, k: i64, a: &mut A, a_col: usize)
where
A: VecZnxToMut;
/// Splits the selected columns of `b` into subrings and copies them them into the selected column of `res`.
///
@@ -103,14 +119,10 @@ pub trait VecZnxOps<DataMut, Data> {
///
/// This method requires that all [VecZnx] of b have the same ring degree
/// and that b.n() * b.len() <= a.n()
fn vec_znx_split(
&self,
res: &mut Vec<VecZnx<DataMut>>,
res_col: usize,
a: &VecZnx<Data>,
a_col: usize,
buf: &mut VecZnx<DataMut>,
);
fn vec_znx_split<R, A>(&self, res: &mut Vec<R>, res_col: usize, a: &A, a_col: usize, scratch: &mut Scratch)
where
R: VecZnxToMut,
A: VecZnxToRef;
/// Merges the subrings of the selected column of `a` into the selected column of `res`.
///
@@ -118,7 +130,15 @@ pub trait VecZnxOps<DataMut, Data> {
///
/// This method requires that all [VecZnx] of a have the same ring degree
/// and that a.n() * a.len() <= b.n()
fn vec_znx_merge(&self, res: &mut VecZnx<DataMut>, res_col: usize, a: &Vec<VecZnx<Data>>, a_col: usize);
fn vec_znx_merge<R, A>(&self, res: &mut R, res_col: usize, a: Vec<A>, a_col: usize)
where
R: VecZnxToMut,
A: VecZnxToRef;
fn switch_degree<R, A>(&self, r: &mut R, col_b: usize, a: &A, col_a: usize)
where
R: VecZnxToMut,
A: VecZnxToRef;
}
pub trait VecZnxScratch {
@@ -140,27 +160,23 @@ impl<B: Backend> VecZnxAlloc for Module<B> {
}
}
impl<B: Backend, DataMut, Data> VecZnxOps<DataMut, Data> for Module<B>
impl<BACKEND: Backend> VecZnxOps for Module<BACKEND> {
fn vec_znx_normalize<R, A>(&self, log_base2k: usize, res: &mut R, res_col: usize, a: &A, a_col: usize, scratch: &mut Scratch)
where
Data: AsRef<[u8]>,
DataMut: AsRef<[u8]> + AsMut<[u8]>,
R: VecZnxToMut,
A: VecZnxToRef,
{
fn vec_znx_normalize(
&self,
log_base2k: usize,
res: &mut VecZnx<DataMut>,
res_col: usize,
a: &VecZnx<Data>,
a_col: usize,
tmp_bytes: &mut [u8],
) {
let a: VecZnx<&[u8]> = a.to_ref();
let mut res: VecZnx<&mut [u8]> = res.to_mut();
#[cfg(debug_assertions)]
{
assert_eq!(a.n(), self.n());
assert_eq!(res.n(), self.n());
assert!(tmp_bytes.len() >= <Self as VecZnxScratch>::vec_znx_normalize_tmp_bytes(&self));
assert_alignement(tmp_bytes.as_ptr());
}
let (tmp_bytes, _) = scratch.tmp_scalar_slice(self.vec_znx_normalize_tmp_bytes());
unsafe {
vec_znx::vec_znx_normalize_base2k(
self.ptr,
@@ -176,22 +192,44 @@ where
}
}
fn vec_znx_normalize_inplace(&self, log_base2k: usize, a: &mut VecZnx<DataMut>, a_col: usize, tmp_bytes: &mut [u8]) {
fn vec_znx_normalize_inplace<A>(&self, log_base2k: usize, a: &mut A, a_col: usize, scratch: &mut Scratch)
where
A: VecZnxToMut,
{
let mut a: VecZnx<&mut [u8]> = a.to_mut();
#[cfg(debug_assertions)]
{
assert_eq!(a.n(), self.n());
}
let (tmp_bytes, _) = scratch.tmp_scalar_slice(self.vec_znx_normalize_tmp_bytes());
unsafe {
let a_ptr: *const VecZnx<_> = a;
Self::vec_znx_normalize(self, log_base2k, a, a_col, &*a_ptr, a_col, tmp_bytes);
vec_znx::vec_znx_normalize_base2k(
self.ptr,
log_base2k as u64,
a.at_mut_ptr(a_col, 0),
a.size() as u64,
a.sl() as u64,
a.at_ptr(a_col, 0),
a.size() as u64,
a.sl() as u64,
tmp_bytes.as_mut_ptr(),
);
}
}
fn vec_znx_add(
&self,
res: &mut VecZnx<DataMut>,
res_col: usize,
a: &VecZnx<Data>,
a_col: usize,
b: &VecZnx<Data>,
b_col: usize,
) {
fn vec_znx_add<R, A, B>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize, b: &B, b_col: usize)
where
R: VecZnxToMut,
A: VecZnxToRef,
B: VecZnxToRef,
{
let a: VecZnx<&[u8]> = a.to_ref();
let b: VecZnx<&[u8]> = b.to_ref();
let mut res: VecZnx<&mut [u8]> = res.to_mut();
#[cfg(debug_assertions)]
{
assert_eq!(a.n(), self.n());
@@ -215,7 +253,14 @@ where
}
}
fn vec_znx_add_inplace(&self, res: &mut VecZnx<DataMut>, res_col: usize, a: &VecZnx<Data>, a_col: usize) {
fn vec_znx_add_inplace<R, A>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxToMut,
A: VecZnxToRef,
{
let a: VecZnx<&[u8]> = a.to_ref();
let mut res: VecZnx<&mut [u8]> = res.to_mut();
#[cfg(debug_assertions)]
{
assert_eq!(a.n(), self.n());
@@ -237,15 +282,16 @@ where
}
}
fn vec_znx_sub(
&self,
res: &mut VecZnx<DataMut>,
res_col: usize,
a: &VecZnx<Data>,
a_col: usize,
b: &VecZnx<Data>,
b_col: usize,
) {
fn vec_znx_sub<R, A, B>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize, b: &B, b_col: usize)
where
R: VecZnxToMut,
A: VecZnxToRef,
B: VecZnxToRef,
{
let a: VecZnx<&[u8]> = a.to_ref();
let b: VecZnx<&[u8]> = b.to_ref();
let mut res: VecZnx<&mut [u8]> = res.to_mut();
#[cfg(debug_assertions)]
{
assert_eq!(a.n(), self.n());
@@ -269,7 +315,13 @@ where
}
}
fn vec_znx_sub_ab_inplace(&self, res: &mut VecZnx<DataMut>, res_col: usize, a: &VecZnx<Data>, a_col: usize) {
fn vec_znx_sub_ab_inplace<R, A>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxToMut,
A: VecZnxToRef,
{
let a: VecZnx<&[u8]> = a.to_ref();
let mut res: VecZnx<&mut [u8]> = res.to_mut();
#[cfg(debug_assertions)]
{
assert_eq!(a.n(), self.n());
@@ -291,7 +343,13 @@ where
}
}
fn vec_znx_sub_ba_inplace(&self, res: &mut VecZnx<DataMut>, res_col: usize, a: &VecZnx<Data>, a_col: usize) {
fn vec_znx_sub_ba_inplace<R, A>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxToMut,
A: VecZnxToRef,
{
let a: VecZnx<&[u8]> = a.to_ref();
let mut res: VecZnx<&mut [u8]> = res.to_mut();
#[cfg(debug_assertions)]
{
assert_eq!(a.n(), self.n());
@@ -313,7 +371,13 @@ where
}
}
fn vec_znx_negate(&self, res: &mut VecZnx<DataMut>, res_col: usize, a: &VecZnx<Data>, a_col: usize) {
fn vec_znx_negate<R, A>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxToMut,
A: VecZnxToRef,
{
let a: VecZnx<&[u8]> = a.to_ref();
let mut res: VecZnx<&mut [u8]> = res.to_mut();
#[cfg(debug_assertions)]
{
assert_eq!(a.n(), self.n());
@@ -332,14 +396,35 @@ where
}
}
fn vec_znx_negate_inplace(&self, a: &mut VecZnx<DataMut>, a_col: usize) {
fn vec_znx_negate_inplace<A>(&self, a: &mut A, a_col: usize)
where
A: VecZnxToMut,
{
let mut a: VecZnx<&mut [u8]> = a.to_mut();
#[cfg(debug_assertions)]
{
assert_eq!(a.n(), self.n());
}
unsafe {
let a_ref: *const VecZnx<_> = a;
Self::vec_znx_negate(self, a, a_col, a_ref.as_ref().unwrap(), a_col);
vec_znx::vec_znx_negate(
self.ptr,
a.at_mut_ptr(a_col, 0),
a.size() as u64,
a.sl() as u64,
a.at_ptr(a_col, 0),
a.size() as u64,
a.sl() as u64,
)
}
}
fn vec_znx_rotate(&self, k: i64, res: &mut VecZnx<DataMut>, res_col: usize, a: &VecZnx<Data>, a_col: usize) {
fn vec_znx_rotate<R, A>(&self, k: i64, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxToMut,
A: VecZnxToRef,
{
let a: VecZnx<&[u8]> = a.to_ref();
let mut res: VecZnx<&mut [u8]> = res.to_mut();
#[cfg(debug_assertions)]
{
assert_eq!(a.n(), self.n());
@@ -359,7 +444,11 @@ where
}
}
fn vec_znx_rotate_inplace(&self, k: i64, a: &mut VecZnx<DataMut>, a_col: usize) {
fn vec_znx_rotate_inplace<A>(&self, k: i64, a: &mut A, a_col: usize)
where
A: VecZnxToMut,
{
let mut a: VecZnx<&mut [u8]> = a.to_mut();
#[cfg(debug_assertions)]
{
assert_eq!(a.n(), self.n());
@@ -378,7 +467,13 @@ where
}
}
fn vec_znx_automorphism(&self, k: i64, res: &mut VecZnx<DataMut>, res_col: usize, a: &VecZnx<Data>, a_col: usize) {
fn vec_znx_automorphism<R, A>(&self, k: i64, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxToMut,
A: VecZnxToRef,
{
let a: VecZnx<&[u8]> = a.to_ref();
let mut res: VecZnx<&mut [u8]> = res.to_mut();
#[cfg(debug_assertions)]
{
assert_eq!(a.n(), self.n());
@@ -398,7 +493,11 @@ where
}
}
fn vec_znx_automorphism_inplace(&self, k: i64, a: &mut VecZnx<DataMut>, a_col: usize) {
fn vec_znx_automorphism_inplace<A>(&self, k: i64, a: &mut A, a_col: usize)
where
A: VecZnxToMut,
{
let mut a: VecZnx<&mut [u8]> = a.to_mut();
#[cfg(debug_assertions)]
{
assert_eq!(a.n(), self.n());
@@ -417,23 +516,24 @@ where
}
}
fn vec_znx_split(
&self,
res: &mut Vec<VecZnx<DataMut>>,
res_col: usize,
a: &VecZnx<Data>,
a_col: usize,
buf: &mut VecZnx<DataMut>,
) {
let (n_in, n_out) = (a.n(), res[0].n());
fn vec_znx_split<R, A>(&self, res: &mut Vec<R>, res_col: usize, a: &A, a_col: usize, scratch: &mut Scratch)
where
R: VecZnxToMut,
A: VecZnxToRef,
{
let a: VecZnx<&[u8]> = a.to_ref();
let (n_in, n_out) = (a.n(), res[0].to_mut().n());
let (mut buf, _) = scratch.tmp_vec_znx(self, 1, a.size());
debug_assert!(
n_out < n_in,
"invalid a: output ring degree should be smaller"
);
res[1..].iter().for_each(|bi| {
res[1..].iter_mut().for_each(|bi| {
debug_assert_eq!(
bi.n(),
bi.to_mut().n(),
n_out,
"invalid input a: all VecZnx must have the same degree"
)
@@ -441,17 +541,23 @@ where
res.iter_mut().enumerate().for_each(|(i, bi)| {
if i == 0 {
switch_degree(bi, res_col, a, a_col);
self.vec_znx_rotate(-1, buf, 0, a, a_col);
self.switch_degree(bi, res_col, &a, a_col);
self.vec_znx_rotate(-1, &mut buf, 0, &a, a_col);
} else {
switch_degree(bi, res_col, buf, a_col);
<Self as VecZnxOps<DataMut, Data>>::vec_znx_rotate_inplace(self, -1, buf, a_col);
self.switch_degree(bi, res_col, &mut buf, a_col);
self.vec_znx_rotate_inplace(-1, &mut buf, a_col);
}
})
}
fn vec_znx_merge(&self, res: &mut VecZnx<DataMut>, res_col: usize, a: &Vec<VecZnx<Data>>, a_col: usize) {
let (n_in, n_out) = (res.n(), a[0].n());
fn vec_znx_merge<R, A>(&self, res: &mut R, res_col: usize, a: Vec<A>, a_col: usize)
where
R: VecZnxToMut,
A: VecZnxToRef,
{
let mut res: VecZnx<&mut [u8]> = res.to_mut();
let (n_in, n_out) = (res.n(), a[0].to_ref().n());
debug_assert!(
n_out < n_in,
@@ -459,18 +565,47 @@ where
);
a[1..].iter().for_each(|ai| {
debug_assert_eq!(
ai.n(),
ai.to_ref().n(),
n_out,
"invalid input a: all VecZnx must have the same degree"
)
});
a.iter().enumerate().for_each(|(_, ai)| {
switch_degree(res, res_col, ai, a_col);
<Self as VecZnxOps<DataMut, Data>>::vec_znx_rotate_inplace(self, -1, res, res_col);
self.switch_degree(&mut res, res_col, ai, a_col);
self.vec_znx_rotate_inplace(-1, &mut res, res_col);
});
<Self as VecZnxOps<DataMut, Data>>::vec_znx_rotate_inplace(self, a.len() as i64, res, res_col);
self.vec_znx_rotate_inplace(a.len() as i64, &mut res, res_col);
}
fn switch_degree<R, A>(&self, res: &mut R, res_col: usize, a: &A, a_col: usize)
where
R: VecZnxToMut,
A: VecZnxToRef,
{
let a: VecZnx<&[u8]> = a.to_ref();
let mut res: VecZnx<&mut [u8]> = res.to_mut();
let (n_in, n_out) = (a.n(), res.n());
let (gap_in, gap_out): (usize, usize);
if n_in > n_out {
(gap_in, gap_out) = (n_in / n_out, 1)
} else {
(gap_in, gap_out) = (1, n_out / n_in);
res.zero();
}
let size: usize = min(a.size(), res.size());
(0..size).for_each(|i| {
izip!(
a.at(a_col, i).iter().step_by(gap_in),
res.at_mut(res_col, i).iter_mut().step_by(gap_out)
)
.for_each(|(x_in, x_out)| *x_out = *x_in);
});
}
}

30
base2k/src/znx_base.rs
View File

@@ -1,6 +1,5 @@
use itertools::izip;
use rand_distr::num_traits::Zero;
use std::cmp::min;
pub trait ZnxInfos {
/// Returns the ring degree of the polynomials.
@@ -24,7 +23,9 @@ pub trait ZnxInfos {
fn poly_count(&self) -> usize {
self.rows() * self.cols() * self.size()
}
}
pub trait ZnxSliceSize {
/// Returns the slice size, which is the offset between
/// two size of the same column.
fn sl(&self) -> usize;
@@ -129,33 +130,6 @@ where
impl<T> ZnxZero for T where T: ZnxViewMut {}
// impl<T> ZnxRsh for T where T: ZnxZero {}
pub fn switch_degree<S: Copy, DMut: ZnxViewMut<Scalar = S> + ZnxZero, D: ZnxView<Scalar = S>>(
b: &mut DMut,
col_b: usize,
a: &D,
col_a: usize,
) {
let (n_in, n_out) = (a.n(), b.n());
let (gap_in, gap_out): (usize, usize);
if n_in > n_out {
(gap_in, gap_out) = (n_in / n_out, 1)
} else {
(gap_in, gap_out) = (1, n_out / n_in);
b.zero();
}
let size: usize = min(a.size(), b.size());
(0..size).for_each(|i| {
izip!(
a.at(col_a, i).iter().step_by(gap_in),
b.at_mut(col_b, i).iter_mut().step_by(gap_out)
)
.for_each(|(x_in, x_out)| *x_out = *x_in);
});
}
use std::ops::{Add, AddAssign, Div, Mul, Neg, Shl, Shr, Sub};
use crate::Scratch;