test / src /f16-vhswish /neonfp16arith.c.in
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// 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
$ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ"
#include <assert.h>
#include <arm_neon.h>
#include <xnnpack/common.h>
#include <xnnpack/vunary.h>
void xnn_f16_vhswish_ukernel__neonfp16arith_x${BATCH_TILE}(
size_t batch,
const void* restrict input,
void* restrict output,
const union xnn_f16_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS
{
assert(batch != 0);
assert(batch % sizeof(uint16_t) == 0);
assert(input != NULL);
assert(output != NULL);
const uint16_t* i = (const uint16_t*) input;
uint16_t* o = (uint16_t*) output;
const float16x8_t vsixth = vreinterpretq_f16_u16(vld1q_dup_u16(&params->fp16arith.sixth));
const float16x8_t vthree = vreinterpretq_f16_u16(vld1q_dup_u16(&params->fp16arith.three));
const int16x8_t vsix = vreinterpretq_s16_u16(vld1q_dup_u16(&params->fp16arith.six));
const int16x8_t vzero = vdupq_n_s16(0);
$if BATCH_TILE > 8:
for (; batch >= ${BATCH_TILE} * sizeof(uint16_t); batch -= ${BATCH_TILE} * sizeof(uint16_t)) {
$for N in range(0, BATCH_TILE, 8):
float16x8_t vx${ABC[N:N+8]} = vreinterpretq_f16_u16(vld1q_u16(i)); i += 8;
$for N in range(0, BATCH_TILE, 8):
float16x8_t vacc${ABC[N:N+8]} = vaddq_f16(vx${ABC[N:N+8]}, vthree);
vx${ABC[N:N+8]} = vmulq_f16(vx${ABC[N:N+8]}, vsixth);
$for N in range(0, BATCH_TILE, 8):
vacc${ABC[N:N+8]} = vreinterpretq_f16_s16(vmaxq_s16(vreinterpretq_s16_f16(vacc${ABC[N:N+8]}), vzero));
$for N in range(0, BATCH_TILE, 8):
vacc${ABC[N:N+8]} = vreinterpretq_f16_s16(vminq_s16(vreinterpretq_s16_f16(vacc${ABC[N:N+8]}), vsix));
$for N in range(0, BATCH_TILE, 8):
vacc${ABC[N:N+8]} = vmulq_f16(vacc${ABC[N:N+8]}, vx${ABC[N:N+8]});
$for N in range(0, BATCH_TILE, 8):
vst1q_u16(o, vreinterpretq_u16_f16(vacc${ABC[N:N+8]})); o += 8;
}
for (; batch >= 8 * sizeof(uint16_t); batch -= 8 * sizeof(uint16_t)) {
float16x8_t vx = vreinterpretq_f16_u16(vld1q_u16(i)); i += 8;
float16x8_t vacc = vaddq_f16(vx, vthree);
vx = vmulq_f16(vx, vsixth);
vacc = vreinterpretq_f16_s16(vmaxq_s16(vreinterpretq_s16_f16(vacc), vzero));
vacc = vreinterpretq_f16_s16(vminq_s16(vreinterpretq_s16_f16(vacc), vsix));
vacc = vmulq_f16(vacc, vx);
vst1q_u16(o, vreinterpretq_u16_f16(vacc)); o += 8;
}
if XNN_UNLIKELY(batch != 0) {
float16x8_t vx = vreinterpretq_f16_u16(vld1q_u16(i));
float16x8_t vacc = vaddq_f16(vx, vthree);
vx = vmulq_f16(vx, vsixth);
vacc = vreinterpretq_f16_s16(vmaxq_s16(vreinterpretq_s16_f16(vacc), vzero));
vacc = vreinterpretq_f16_s16(vminq_s16(vreinterpretq_s16_f16(vacc), vsix));
vacc = vmulq_f16(vacc, vx);
float16x4_t vacc_lo = vget_low_f16(vacc);
if (batch & (4 * sizeof(uint16_t))) {
vst1_u16(o, vreinterpret_u16_f16(vacc_lo)); o += 4;
vacc_lo = vget_high_f16(vacc);
}
if (batch & (2 * sizeof(uint16_t))) {
vst1_lane_u32((void*) o, vreinterpret_u32_f16(vacc_lo), 0); o += 2;
vacc_lo = vext_f16(vacc_lo, vacc_lo, 2);
}
if (batch & (1 * sizeof(uint16_t))) {
vst1_lane_u16(o, vreinterpret_u16_f16(vacc_lo), 0);
}
}
}