blob: d8105025b9af4a7e0ab665b70966ed3dda58a119 [file] [log] [blame]
// Copyright 2019 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
$ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ"
#include <assert.h>
#include <immintrin.h>
#include <xnnpack/common.h>
#include <xnnpack/vbinary.h>
static const int32_t mask_table[14] = {-1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0};
$ISA = {0: "avx", 3: "fma3"}[FMA]
void xnn_f32_hswish_ukernel__${ISA}_x${BATCH_TILE}(
size_t n,
const float* x,
float* y,
const union xnn_f32_hswish_params params[restrict static 1])
{
assert(n != 0);
assert(n % sizeof(float) == 0);
const __m256 vsixth = _mm256_broadcast_ps((const __m128*) params->sse.sixth);
const __m256 vhalf = _mm256_broadcast_ps((const __m128*) params->sse.half);
const __m256 vone = _mm256_broadcast_ps((const __m128*) params->sse.one);
const __m256 vzero = _mm256_setzero_ps();
for (; n >= ${BATCH_TILE} * sizeof(float); n -= ${BATCH_TILE} * sizeof(float)) {
const __m256 vx${ABC[0:8]} = _mm256_loadu_ps(x);
$for N in range(8, BATCH_TILE, 8):
const __m256 vx${ABC[N:N+8]} = _mm256_loadu_ps(x + ${N});
x += ${BATCH_TILE};
$if FMA == 3:
$for N in range(0, BATCH_TILE, 8):
__m256 vacc${ABC[N:N+8]} = _mm256_fmadd_ps(vx${ABC[N:N+8]}, vsixth, vhalf);
$else:
$for N in range(0, BATCH_TILE, 8):
__m256 vacc${ABC[N:N+8]} = _mm256_mul_ps(vx${ABC[N:N+8]}, vsixth);
$for N in range(0, BATCH_TILE, 8):
vacc${ABC[N:N+8]} = _mm256_add_ps(vacc${ABC[N:N+8]}, vhalf);
$for N in range(0, BATCH_TILE, 8):
vacc${ABC[N:N+8]} = _mm256_max_ps(vacc${ABC[N:N+8]}, vzero);
$for N in range(0, BATCH_TILE, 8):
vacc${ABC[N:N+8]} = _mm256_min_ps(vacc${ABC[N:N+8]}, vone);
$for N in range(0, BATCH_TILE, 8):
vacc${ABC[N:N+8]} = _mm256_mul_ps(vacc${ABC[N:N+8]}, vx${ABC[N:N+8]});
_mm256_storeu_ps(y, vacc${ABC[0:8]});
$for N in range(8, BATCH_TILE, 8):
_mm256_storeu_ps(y + ${N}, vacc${ABC[N:N+8]});
y += ${BATCH_TILE};
}
$if BATCH_TILE >= 8:
for (; n >= 8 * sizeof(float); n -= 8 * sizeof(float)) {
const __m256 vx = _mm256_loadu_ps(x);
x += 8;
$if FMA == 3:
__m256 vacc = _mm256_fmadd_ps(vx, vsixth, vhalf);
$else:
__m256 vacc = _mm256_mul_ps(vx, vsixth);
vacc = _mm256_add_ps(vacc, vhalf);
vacc = _mm256_max_ps(vacc, vzero);
vacc = _mm256_min_ps(vacc, vone);
vacc = _mm256_mul_ps(vacc, vx);
_mm256_storeu_ps(y, vacc);
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);
$if FMA == 3:
__m256 vacc = _mm256_fmadd_ps(vx, vsixth, vhalf);
$else:
__m256 vacc = _mm256_mul_ps(vx, vsixth);
vacc = _mm256_add_ps(vacc, vhalf);
vacc = _mm256_max_ps(vacc, vzero);
vacc = _mm256_min_ps(vacc, vone);
vacc = _mm256_mul_ps(vacc, vx);
// _mm256_maskstore_ps(y, vmask, vacc) could be used here, but triggers msan failures (probably an msan bug).
__m128 vacc_lo = _mm256_castps256_ps128(vacc);
if (n & (4 * sizeof(float))) {
_mm_storeu_ps(y, vacc_lo);
vacc_lo = _mm256_extractf128_ps(vacc, 1);
y += 4;
}
if (n & (2 * sizeof(float))) {
_mm_storel_pi((__m64*) y, vacc_lo);
vacc_lo = _mm_movehl_ps(vacc_lo, vacc_lo);
y += 2;
}
if (n & (1 * sizeof(float))) {
_mm_store_ss(y, vacc_lo);
}
}
}