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use rustc_span::Symbol; | ||
use rustc_target::spec::abi::Abi; | ||
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use crate::*; | ||
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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: Abi, | ||
args: &[OpTy<'tcx>], | ||
dest: &MPlaceTy<'tcx>, | ||
) -> InterpResult<'tcx, EmulateItemResult> { | ||
let this = self.eval_context_mut(); | ||
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// Prefix should have already been checked. | ||
let unprefixed_name = link_name.as_str().strip_prefix("llvm.x86.").unwrap(); | ||
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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")?; | ||
} | ||
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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, Abi::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, Abi::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, Abi::C { unwind: false }, link_name, args)?; | ||
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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)?; | ||
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assert_eq!(left_len, right_len); | ||
assert_eq!(dest_len, right_len); | ||
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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) | ||
} | ||
} | ||
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/// 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)?; | ||
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assert_eq!(dest_len, right_len); | ||
assert_eq!(dest_len, left_len); | ||
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let imm8 = this.read_scalar(imm8)?.to_u8()?; | ||
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// 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()?; | ||
} | ||
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// 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 }; | ||
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let mut res = 0; | ||
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// Do the matrix multiplication. | ||
for bit in 0u8..8 { | ||
let mut b = matrix[usize::from(bit)] & left; | ||
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// Calculate the parity bit. | ||
b = (b & 0b1111) ^ (b >> 4); | ||
b = (b & 0b11) ^ (b >> 2); | ||
b = (b & 0b1) ^ (b >> 1); | ||
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res |= b << 7u8.wrapping_sub(bit); | ||
} | ||
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// Perform the addition. | ||
res ^= imm8; | ||
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let dest = this.project_index(&dest, index)?; | ||
this.write_scalar(Scalar::from_u8(res), &dest)?; | ||
} | ||
} | ||
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interp_ok(()) | ||
} | ||
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/// 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. | ||
#[allow(clippy::cast_possible_truncation)] | ||
static TABLE: [u8; 256] = { | ||
let mut array = [0; 256]; | ||
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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; | ||
} | ||
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array | ||
}; | ||
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/// 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. | ||
#[allow(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. | ||
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const POLYNOMIAL: u32 = 0x11b; | ||
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let left = left as u32; | ||
let right = right as u32; | ||
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let mut result = 0u32; | ||
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let mut i = 0u32; | ||
while i < 8 { | ||
if left & (1 << i) != 0 { | ||
result ^= right << i; | ||
} | ||
i = i.wrapping_add(1); | ||
} | ||
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let mut i = 14u32; | ||
while i >= 8 { | ||
if result & (1 << i) != 0 { | ||
result ^= POLYNOMIAL << i.wrapping_sub(8); | ||
} | ||
i = i.wrapping_sub(1); | ||
} | ||
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result as u8 | ||
} |
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