blob: 84a1b07b35832827c65779cfb4b6b6d633da45ab [file] [log] [blame]
// Copyright 2020 Google LLC
//
// This source code is licensed under the BSD-style license found in the
// LICENSE file in the root directory of this source tree.
$assert BATCH_TILE % 8 == 0
$assert BATCH_TILE >= 8
$SIMD_TILE = BATCH_TILE // 8
$ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ"
#include <assert.h>
#include <immintrin.h>
#include <xnnpack/common.h>
#include <xnnpack/vunary.h>
static const int32_t mask_table[14] = {-1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0};
void xnn_f32_vsqrt_ukernel__fma3_nr1fma1adj_x${BATCH_TILE}(
size_t n,
const float* x,
float* y,
const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)])
{
assert(n != 0);
assert(n % sizeof(float) == 0);
const __m256 vhalf = _mm256_broadcast_ss(&params->fma.half);
$if BATCH_TILE > 8:
for (; n >= ${BATCH_TILE} * sizeof(float); n -= ${BATCH_TILE} * sizeof(float)) {
const __m256 vx${ABC[0]} = _mm256_loadu_ps(x);
$for N in range(1, SIMD_TILE):
const __m256 vx${ABC[N]} = _mm256_loadu_ps(x + ${N * 8});
x += ${BATCH_TILE};
$for N in range(SIMD_TILE):
const __m256 vrsqrtx${ABC[N]} = _mm256_rsqrt_ps(vx${ABC[N]});
$for N in range(SIMD_TILE):
__m256 vsqrtx${ABC[N]} = _mm256_mul_ps(vrsqrtx${ABC[N]}, vx${ABC[N]});
__m256 vhalfrsqrtx${ABC[N]} = _mm256_mul_ps(vrsqrtx${ABC[N]}, vhalf);
$for N in range(SIMD_TILE):
const __m256 vresidual${ABC[N]} = _mm256_fnmadd_ps(vsqrtx${ABC[N]}, vhalfrsqrtx${ABC[N]}, vhalf);
$for N in range(SIMD_TILE):
vhalfrsqrtx${ABC[N]} = _mm256_fmadd_ps(vhalfrsqrtx${ABC[N]}, vresidual${ABC[N]}, vhalfrsqrtx${ABC[N]});
vsqrtx${ABC[N]} = _mm256_fmadd_ps(vsqrtx${ABC[N]}, vresidual${ABC[N]}, vsqrtx${ABC[N]});
$for N in range(SIMD_TILE):
const __m256 vadjustment${ABC[N]} = _mm256_fnmadd_ps(vsqrtx${ABC[N]}, vsqrtx${ABC[N]}, vx${ABC[N]});
$for N in range(SIMD_TILE):
const __m256 vy${ABC[N]} = _mm256_fmadd_ps(vhalfrsqrtx${ABC[N]}, vadjustment${ABC[N]}, vsqrtx${ABC[N]});
_mm256_storeu_ps(y, vy${ABC[0]});
$for N in range(1, SIMD_TILE):
_mm256_storeu_ps(y + ${N * 8}, vy${ABC[N]});
y += ${BATCH_TILE};
}
for (; n >= 8 * sizeof(float); n -= 8 * sizeof(float)) {
const __m256 vx = _mm256_loadu_ps(x);
x += 8;
const __m256 vrsqrtx = _mm256_rsqrt_ps(vx);
__m256 vsqrtx = _mm256_mul_ps(vrsqrtx, vx);
__m256 vhalfrsqrtx = _mm256_mul_ps(vrsqrtx, vhalf);
const __m256 vresidual = _mm256_fnmadd_ps(vsqrtx, vhalfrsqrtx, vhalf);
vhalfrsqrtx = _mm256_fmadd_ps(vhalfrsqrtx, vresidual, vhalfrsqrtx);
vsqrtx = _mm256_fmadd_ps(vsqrtx, vresidual, vsqrtx);
const __m256 vadjustment = _mm256_fnmadd_ps(vsqrtx, vsqrtx, vx);
const __m256 vy = _mm256_fmadd_ps(vhalfrsqrtx, vadjustment, vsqrtx);
_mm256_storeu_ps(y, vy);
y += 8;
}
if XNN_UNLIKELY(n != 0) {
assert(n >= 1 * sizeof(float));
assert(n <= 7 * sizeof(float));
__m256i vmask = _mm256_loadu_si256((const __m256i*) ((uintptr_t) &mask_table[7] - n));
const __m256 vx = _mm256_maskload_ps(x, vmask);
const __m256 vrsqrtx = _mm256_rsqrt_ps(vx);
__m256 vsqrtx = _mm256_mul_ps(vrsqrtx, vx);
__m256 vhalfrsqrtx = _mm256_mul_ps(vrsqrtx, vhalf);
const __m256 vresidual = _mm256_fnmadd_ps(vsqrtx, vhalfrsqrtx, vhalf);
vhalfrsqrtx = _mm256_fmadd_ps(vhalfrsqrtx, vresidual, vhalfrsqrtx);
vsqrtx = _mm256_fmadd_ps(vsqrtx, vresidual, vsqrtx);
const __m256 vadjustment = _mm256_fnmadd_ps(vsqrtx, vsqrtx, vx);
const __m256 vy = _mm256_fmadd_ps(vhalfrsqrtx, vadjustment, vsqrtx);
// _mm256_maskstore_ps(y, vmask, vy) could be used here, but triggers msan failures (probably an msan bug).
__m128 vy_lo = _mm256_castps256_ps128(vy);
if (n & (4 * sizeof(float))) {
_mm_storeu_ps(y, vy_lo);
vy_lo = _mm256_extractf128_ps(vy, 1);
y += 4;
}
if (n & (2 * sizeof(float))) {
_mm_storel_pi((__m64*) y, vy_lo);
vy_lo = _mm_movehl_ps(vy_lo, vy_lo);
y += 2;
}
if (n & (1 * sizeof(float))) {
_mm_store_ss(y, vy_lo);
}
}
}