miri/shims/x86/gfni.rs
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use rustc_abi::ExternAbi;
use rustc_span::Symbol;
use crate::*;
impl<'tcx> EvalContextExt<'tcx> for crate::MiriInterpCx<'tcx> {}
pub(super) trait EvalContextExt<'tcx>: crate::MiriInterpCxExt<'tcx> {
fn emulate_x86_gfni_intrinsic(
&mut self,
link_name: Symbol,
abi: ExternAbi,
args: &[OpTy<'tcx>],
dest: &MPlaceTy<'tcx>,
) -> InterpResult<'tcx, EmulateItemResult> {
let this = self.eval_context_mut();
// Prefix should have already been checked.
let unprefixed_name = link_name.as_str().strip_prefix("llvm.x86.").unwrap();
this.expect_target_feature_for_intrinsic(link_name, "gfni")?;
if unprefixed_name.ends_with(".256") {
this.expect_target_feature_for_intrinsic(link_name, "avx")?;
} else if unprefixed_name.ends_with(".512") {
this.expect_target_feature_for_intrinsic(link_name, "avx512f")?;
}
match unprefixed_name {
// Used to implement the `_mm{, 256, 512}_gf2p8affine_epi64_epi8` functions.
// See `affine_transform` for details.
// https://www.intel.com/content/www/us/en/docs/intrinsics-guide/index.html#text=gf2p8affine_
"vgf2p8affineqb.128" | "vgf2p8affineqb.256" | "vgf2p8affineqb.512" => {
let [left, right, imm8] =
this.check_shim(abi, ExternAbi::C { unwind: false }, link_name, args)?;
affine_transform(this, left, right, imm8, dest, /* inverse */ false)?;
}
// Used to implement the `_mm{, 256, 512}_gf2p8affineinv_epi64_epi8` functions.
// See `affine_transform` for details.
// https://www.intel.com/content/www/us/en/docs/intrinsics-guide/index.html#text=gf2p8affineinv
"vgf2p8affineinvqb.128" | "vgf2p8affineinvqb.256" | "vgf2p8affineinvqb.512" => {
let [left, right, imm8] =
this.check_shim(abi, ExternAbi::C { unwind: false }, link_name, args)?;
affine_transform(this, left, right, imm8, dest, /* inverse */ true)?;
}
// Used to implement the `_mm{, 256, 512}_gf2p8mul_epi8` functions.
// Multiplies packed 8-bit integers in `left` and `right` in the finite field GF(2^8)
// and store the results in `dst`. The field GF(2^8) is represented in
// polynomial representation with the reduction polynomial x^8 + x^4 + x^3 + x + 1.
// https://www.intel.com/content/www/us/en/docs/intrinsics-guide/index.html#text=gf2p8mul
"vgf2p8mulb.128" | "vgf2p8mulb.256" | "vgf2p8mulb.512" => {
let [left, right] =
this.check_shim(abi, ExternAbi::C { unwind: false }, link_name, args)?;
let (left, left_len) = this.project_to_simd(left)?;
let (right, right_len) = this.project_to_simd(right)?;
let (dest, dest_len) = this.project_to_simd(dest)?;
assert_eq!(left_len, right_len);
assert_eq!(dest_len, right_len);
for i in 0..dest_len {
let left = this.read_scalar(&this.project_index(&left, i)?)?.to_u8()?;
let right = this.read_scalar(&this.project_index(&right, i)?)?.to_u8()?;
let dest = this.project_index(&dest, i)?;
this.write_scalar(Scalar::from_u8(gf2p8_mul(left, right)), &dest)?;
}
}
_ => return interp_ok(EmulateItemResult::NotSupported),
}
interp_ok(EmulateItemResult::NeedsReturn)
}
}
/// Calculates the affine transformation `right * left + imm8` inside the finite field GF(2^8).
/// `right` is an 8x8 bit matrix, `left` and `imm8` are bit vectors.
/// If `inverse` is set, then the inverse transformation with respect to the reduction polynomial
/// x^8 + x^4 + x^3 + x + 1 is performed instead.
fn affine_transform<'tcx>(
this: &mut MiriInterpCx<'tcx>,
left: &OpTy<'tcx>,
right: &OpTy<'tcx>,
imm8: &OpTy<'tcx>,
dest: &MPlaceTy<'tcx>,
inverse: bool,
) -> InterpResult<'tcx, ()> {
let (left, left_len) = this.project_to_simd(left)?;
let (right, right_len) = this.project_to_simd(right)?;
let (dest, dest_len) = this.project_to_simd(dest)?;
assert_eq!(dest_len, right_len);
assert_eq!(dest_len, left_len);
let imm8 = this.read_scalar(imm8)?.to_u8()?;
// Each 8x8 bit matrix gets multiplied with eight bit vectors.
// Therefore, the iteration is done in chunks of eight.
for i in (0..dest_len).step_by(8) {
// Get the bit matrix.
let mut matrix = [0u8; 8];
for j in 0..8 {
matrix[usize::try_from(j).unwrap()] =
this.read_scalar(&this.project_index(&right, i.wrapping_add(j))?)?.to_u8()?;
}
// Multiply the matrix with the vector and perform the addition.
for j in 0..8 {
let index = i.wrapping_add(j);
let left = this.read_scalar(&this.project_index(&left, index)?)?.to_u8()?;
let left = if inverse { TABLE[usize::from(left)] } else { left };
let mut res = 0;
// Do the matrix multiplication.
for bit in 0u8..8 {
let mut b = matrix[usize::from(bit)] & left;
// Calculate the parity bit.
b = (b & 0b1111) ^ (b >> 4);
b = (b & 0b11) ^ (b >> 2);
b = (b & 0b1) ^ (b >> 1);
res |= b << 7u8.wrapping_sub(bit);
}
// Perform the addition.
res ^= imm8;
let dest = this.project_index(&dest, index)?;
this.write_scalar(Scalar::from_u8(res), &dest)?;
}
}
interp_ok(())
}
/// A lookup table for computing the inverse byte for the inverse affine transformation.
// This is a evaluated at compile time. Trait based conversion is not available.
/// See <https://www.corsix.org/content/galois-field-instructions-2021-cpus> for the
/// definition of `gf_inv` which was used for the creation of this table.
#[expect(clippy::cast_possible_truncation)]
static TABLE: [u8; 256] = {
let mut array = [0; 256];
let mut i = 1;
while i < 256 {
let mut x = i as u8;
let mut y = gf2p8_mul(x, x);
x = y;
let mut j = 2;
while j < 8 {
x = gf2p8_mul(x, x);
y = gf2p8_mul(x, y);
j += 1;
}
array[i] = y;
i += 1;
}
array
};
/// Multiplies packed 8-bit integers in `left` and `right` in the finite field GF(2^8)
/// and store the results in `dst`. The field GF(2^8) is represented in
/// polynomial representation with the reduction polynomial x^8 + x^4 + x^3 + x + 1.
/// See <https://www.corsix.org/content/galois-field-instructions-2021-cpus> for details.
// This is a const function. Trait based conversion is not available.
#[expect(clippy::cast_possible_truncation)]
const fn gf2p8_mul(left: u8, right: u8) -> u8 {
// This implementation is based on the `gf2p8mul_byte` definition found inside the Intel intrinsics guide.
// See https://www.intel.com/content/www/us/en/docs/intrinsics-guide/index.html#text=gf2p8mul
// for more information.
const POLYNOMIAL: u32 = 0x11b;
let left = left as u32;
let right = right as u32;
let mut result = 0u32;
let mut i = 0u32;
while i < 8 {
if left & (1 << i) != 0 {
result ^= right << i;
}
i = i.wrapping_add(1);
}
let mut i = 14u32;
while i >= 8 {
if result & (1 << i) != 0 {
result ^= POLYNOMIAL << i.wrapping_sub(8);
}
i = i.wrapping_sub(1);
}
result as u8
}