test / src /amalgam /gen /neonfp16arith-aarch64.c
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// Copyright 2021 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.
#include <assert.h>
#include <arm_neon.h>
#include <xnnpack/common.h>
#include <xnnpack/microparams.h>
#include <xnnpack/vbinary.h>
#include <xnnpack/vunary.h>
void xnn_f16_vdiv_minmax_ukernel__aarch64_neonfp16arith_x8(
size_t batch,
const void* restrict input_a,
const void* restrict input_b,
void* restrict output,
const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS
{
assert(batch != 0);
assert(batch % sizeof(uint16_t) == 0);
assert(input_a != NULL);
assert(input_b != NULL);
assert(output != NULL);
const uint16_t* a = (const uint16_t*) input_a;
const uint16_t* b = (const uint16_t*) input_b;
uint16_t* o = (uint16_t*) output;
const float16x8_t vy_min = vreinterpretq_f16_u16(vld1q_dup_u16(&params->fp16arith.min));
const float16x8_t vy_max = vreinterpretq_f16_u16(vld1q_dup_u16(&params->fp16arith.max));
for (; batch >= 8 * sizeof(uint16_t); batch -= 8 * sizeof(uint16_t)) {
const float16x8_t va01234567 = vreinterpretq_f16_u16(vld1q_u16(a)); a += 8;
const float16x8_t vb01234567 = vreinterpretq_f16_u16(vld1q_u16(b)); b += 8;
float16x8_t vy01234567 = vdivq_f16(va01234567, vb01234567);
vy01234567 = vmaxq_f16(vy01234567, vy_min);
vy01234567 = vminq_f16(vy01234567, vy_max);
vst1q_u16(o, vreinterpretq_u16_f16(vy01234567)); o += 8;
}
if XNN_UNLIKELY(batch != 0) {
const float16x8_t va01234567 = vreinterpretq_f16_u16(vld1q_u16(a));
const float16x8_t vb01234567 = vreinterpretq_f16_u16(vld1q_u16(b));
float16x8_t vy01234567 = vdivq_f16(va01234567, vb01234567);
vy01234567 = vmaxq_f16(vy01234567, vy_min);
vy01234567 = vminq_f16(vy01234567, vy_max);
float16x4_t vy0123 = vget_low_f16(vy01234567);
if (batch & (4 * sizeof(uint16_t))) {
vst1_u16(o, vreinterpret_u16_f16(vy0123)); o += 4;
vy0123 = vget_high_f16(vy01234567);
}
if (batch & (2 * sizeof(uint16_t))) {
vst1_lane_u32((void*) o, vreinterpret_u32_f16(vy0123), 0); o += 2;
vy0123 = vext_f16(vy0123, vy0123, 2);
}
if (batch & (1 * sizeof(uint16_t))) {
vst1_lane_u16(o, vreinterpret_u16_f16(vy0123), 0);
}
}
}
void xnn_f16_vdivc_minmax_ukernel__aarch64_neonfp16arith_x8(
size_t batch,
const void* restrict input_a,
const void* restrict input_b,
void* restrict output,
const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS
{
assert(batch != 0);
assert(batch % sizeof(uint16_t) == 0);
assert(input_a != NULL);
assert(input_b != NULL);
assert(output != NULL);
const uint16_t* a = (const uint16_t*) input_a;
const uint16_t* b = (const uint16_t*) input_b;
uint16_t* o = (uint16_t*) output;
const float16x8_t vy_min = vreinterpretq_f16_u16(vld1q_dup_u16(&params->fp16arith.min));
const float16x8_t vy_max = vreinterpretq_f16_u16(vld1q_dup_u16(&params->fp16arith.max));
const float16x8_t vb = vreinterpretq_f16_u16(vld1q_dup_u16(b));
for (; batch >= 8 * sizeof(uint16_t); batch -= 8 * sizeof(uint16_t)) {
const float16x8_t va01234567 = vreinterpretq_f16_u16(vld1q_u16(a)); a += 8;
float16x8_t vy01234567 = vdivq_f16(va01234567, vb);
vy01234567 = vmaxq_f16(vy01234567, vy_min);
vy01234567 = vminq_f16(vy01234567, vy_max);
vst1q_u16(o, vreinterpretq_u16_f16(vy01234567)); o += 8;
}
if XNN_UNLIKELY(batch != 0) {
const float16x8_t va01234567 = vreinterpretq_f16_u16(vld1q_u16(a));
float16x8_t vy01234567 = vdivq_f16(va01234567, vb);
vy01234567 = vmaxq_f16(vy01234567, vy_min);
vy01234567 = vminq_f16(vy01234567, vy_max);
float16x4_t vy0123 = vget_low_f16(vy01234567);
if (batch & (4 * sizeof(uint16_t))) {
vst1_u16(o, vreinterpret_u16_f16(vy0123)); o += 4;
vy0123 = vget_high_f16(vy01234567);
}
if (batch & (2 * sizeof(uint16_t))) {
vst1_lane_u32((void*) o, vreinterpret_u32_f16(vy0123), 0); o += 2;
vy0123 = vext_f16(vy0123, vy0123, 2);
}
if (batch & (1 * sizeof(uint16_t))) {
vst1_lane_u16(o, vreinterpret_u16_f16(vy0123), 0);
}
}
}
void xnn_f16_vrdivc_minmax_ukernel__aarch64_neonfp16arith_x8(
size_t batch,
const void* restrict input_a,
const void* restrict input_b,
void* restrict output,
const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS
{
assert(batch != 0);
assert(batch % sizeof(uint16_t) == 0);
assert(input_a != NULL);
assert(input_b != NULL);
assert(output != NULL);
const uint16_t* a = (const uint16_t*) input_a;
const uint16_t* b = (const uint16_t*) input_b;
uint16_t* o = (uint16_t*) output;
const float16x8_t vy_min = vreinterpretq_f16_u16(vld1q_dup_u16(&params->fp16arith.min));
const float16x8_t vy_max = vreinterpretq_f16_u16(vld1q_dup_u16(&params->fp16arith.max));
const float16x8_t vb = vreinterpretq_f16_u16(vld1q_dup_u16(b));
for (; batch >= 8 * sizeof(uint16_t); batch -= 8 * sizeof(uint16_t)) {
const float16x8_t va01234567 = vreinterpretq_f16_u16(vld1q_u16(a)); a += 8;
float16x8_t vy01234567 = vdivq_f16(vb, va01234567);
vy01234567 = vmaxq_f16(vy01234567, vy_min);
vy01234567 = vminq_f16(vy01234567, vy_max);
vst1q_u16(o, vreinterpretq_u16_f16(vy01234567)); o += 8;
}
if XNN_UNLIKELY(batch != 0) {
const float16x8_t va01234567 = vreinterpretq_f16_u16(vld1q_u16(a));
float16x8_t vy01234567 = vdivq_f16(vb, va01234567);
vy01234567 = vmaxq_f16(vy01234567, vy_min);
vy01234567 = vminq_f16(vy01234567, vy_max);
float16x4_t vy0123 = vget_low_f16(vy01234567);
if (batch & (4 * sizeof(uint16_t))) {
vst1_u16(o, vreinterpret_u16_f16(vy0123)); o += 4;
vy0123 = vget_high_f16(vy01234567);
}
if (batch & (2 * sizeof(uint16_t))) {
vst1_lane_u32((void*) o, vreinterpret_u32_f16(vy0123), 0); o += 2;
vy0123 = vext_f16(vy0123, vy0123, 2);
}
if (batch & (1 * sizeof(uint16_t))) {
vst1_lane_u16(o, vreinterpret_u16_f16(vy0123), 0);
}
}
}
void xnn_f16_vsqrt_ukernel__aarch64_neonfp16arith_sqrt_x8(
size_t batch,
const void* input,
void* output,
const union xnn_f16_sqrt_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;
for (; batch >= 8 * sizeof(uint16_t); batch -= 8 * sizeof(uint16_t)) {
float16x8_t vacc = vreinterpretq_f16_u16(vld1q_u16(i)); i += 8;
vacc = vsqrtq_f16(vacc);
vst1q_u16(o, vreinterpretq_u16_f16(vacc)); o += 8;
}
if XNN_UNLIKELY(batch != 0) {
const float16x8_t vacc = vreinterpretq_f16_u16(vld1q_u16(i));
float16x4_t vacc_lo = vsqrt_f16(vget_low_f16(vacc));
if (batch & (4 * sizeof(uint16_t))) {
vst1_u16(o, vreinterpret_u16_f16(vacc_lo)); o += 4;
vacc_lo = vsqrt_f16(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);
}
}
}
void xnn_f16_vtanh_ukernel__aarch64_neonfp16arith_expm1minus_rr1_p3h2ts_div_x32(
size_t n,
const void* input,
void* output,
const union xnn_f16_tanh_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS
{
assert(n != 0);
assert(n % sizeof(uint16_t) == 0);
assert(input != NULL);
assert(output != NULL);
const float16x8_t vsat_cutoff = vreinterpretq_f16_u16(vmovq_n_u16(UINT16_C(0x4482)));
const float16x8_t vmagic_bias = vreinterpretq_f16_u16(vmovq_n_u16(UINT16_C(0x620F)));
const float16x8_t vminus_log2e = vreinterpretq_f16_u16(vmovq_n_u16(UINT16_C(0xBDC5)));
const float16x8_t vln2 = vreinterpretq_f16_u16(vmovq_n_u16(UINT16_C(0x398C)));
const float16x8_t vc3 = vreinterpretq_f16_u16(vmovq_n_u16(UINT16_C(0xBD5B)));
const float16x8_t vc2 = vreinterpretq_f16_u16(vmovq_n_u16(UINT16_C(0x4008)));
const float16x8_t vtwo = vreinterpretq_f16_u16(vmovq_n_u16(UINT16_C(0x4000)));
const float16x8_t vminus_one = vreinterpretq_f16_u16(vmovq_n_u16(UINT16_C(0xBC00)));
const uint16x8_t vsign_mask = vmovq_n_u16(UINT16_C(0x8000));
const uint16_t* i = (const uint16_t*) input;
uint16_t* o = (uint16_t*) output;
for (; n >= 4 * sizeof(float16x8_t); n -= 4 * sizeof(float16x8_t)) {
const float16x8_t vx0 = vreinterpretq_f16_u16(vld1q_u16(i)); i += 8;
const float16x8_t vx1 = vreinterpretq_f16_u16(vld1q_u16(i)); i += 8;
const float16x8_t vx2 = vreinterpretq_f16_u16(vld1q_u16(i)); i += 8;
const float16x8_t vx3 = vreinterpretq_f16_u16(vld1q_u16(i)); i += 8;
float16x8_t vz0 = vabsq_f16(vx0);
float16x8_t vz1 = vabsq_f16(vx1);
float16x8_t vz2 = vabsq_f16(vx2);
float16x8_t vz3 = vabsq_f16(vx3);
vz0 = vminq_f16(vz0, vsat_cutoff);
vz1 = vminq_f16(vz1, vsat_cutoff);
vz2 = vminq_f16(vz2, vsat_cutoff);
vz3 = vminq_f16(vz3, vsat_cutoff);
float16x8_t vn0 = vfmaq_f16(vmagic_bias, vz0, vminus_log2e);
float16x8_t vn1 = vfmaq_f16(vmagic_bias, vz1, vminus_log2e);
float16x8_t vn2 = vfmaq_f16(vmagic_bias, vz2, vminus_log2e);
float16x8_t vn3 = vfmaq_f16(vmagic_bias, vz3, vminus_log2e);
const float16x8_t vs0 = vreinterpretq_f16_s16(vshlq_n_s16(vreinterpretq_s16_f16(vn0), 10));
vn0 = vsubq_f16(vn0, vmagic_bias);
const float16x8_t vs1 = vreinterpretq_f16_s16(vshlq_n_s16(vreinterpretq_s16_f16(vn1), 10));
vn1 = vsubq_f16(vn1, vmagic_bias);
const float16x8_t vs2 = vreinterpretq_f16_s16(vshlq_n_s16(vreinterpretq_s16_f16(vn2), 10));
vn2 = vsubq_f16(vn2, vmagic_bias);
const float16x8_t vs3 = vreinterpretq_f16_s16(vshlq_n_s16(vreinterpretq_s16_f16(vn3), 10));
vn3 = vsubq_f16(vn3, vmagic_bias);
const float16x8_t vt0 = vfmaq_f16(vz0, vn0, vln2);
const float16x8_t vt1 = vfmaq_f16(vz1, vn1, vln2);
const float16x8_t vt2 = vfmaq_f16(vz2, vn2, vln2);
const float16x8_t vt3 = vfmaq_f16(vz3, vn3, vln2);
float16x8_t vp0 = vfmaq_f16(vc2, vc3, vt0);
float16x8_t vp1 = vfmaq_f16(vc2, vc3, vt1);
float16x8_t vp2 = vfmaq_f16(vc2, vc3, vt2);
float16x8_t vp3 = vfmaq_f16(vc2, vc3, vt3);
vp0 = vfmsq_f16(vtwo, vp0, vt0);
vp1 = vfmsq_f16(vtwo, vp1, vt1);
vp2 = vfmsq_f16(vtwo, vp2, vt2);
vp3 = vfmsq_f16(vtwo, vp3, vt3);
const float16x8_t vts0 = vmulq_f16(vt0, vs0);
const float16x8_t vsmo0 = vaddq_f16(vs0, vminus_one);
const float16x8_t vts1 = vmulq_f16(vt1, vs1);
const float16x8_t vsmo1 = vaddq_f16(vs1, vminus_one);
const float16x8_t vts2 = vmulq_f16(vt2, vs2);
const float16x8_t vsmo2 = vaddq_f16(vs2, vminus_one);
const float16x8_t vts3 = vmulq_f16(vt3, vs3);
const float16x8_t vsmo3 = vaddq_f16(vs3, vminus_one);
const float16x8_t vemo0 = vfmsq_f16(vsmo0, vp0, vts0);
const float16x8_t vemo1 = vfmsq_f16(vsmo1, vp1, vts1);
const float16x8_t vemo2 = vfmsq_f16(vsmo2, vp2, vts2);
const float16x8_t vemo3 = vfmsq_f16(vsmo3, vp3, vts3);
const float16x8_t vepo0 = vaddq_f16(vemo0, vtwo);
const float16x8_t vepo1 = vaddq_f16(vemo1, vtwo);
const float16x8_t vepo2 = vaddq_f16(vemo2, vtwo);
const float16x8_t vepo3 = vaddq_f16(vemo3, vtwo);
float16x8_t vy0 = vdivq_f16(vemo0, vepo0);
float16x8_t vy1 = vdivq_f16(vemo1, vepo1);
float16x8_t vy2 = vdivq_f16(vemo2, vepo2);
float16x8_t vy3 = vdivq_f16(vemo3, vepo3);
vy0 = vbslq_f16(vsign_mask, vx0, vy0);
vy1 = vbslq_f16(vsign_mask, vx1, vy1);
vy2 = vbslq_f16(vsign_mask, vx2, vy2);
vy3 = vbslq_f16(vsign_mask, vx3, vy3);
vst1q_u16(o, vreinterpretq_u16_f16(vy0)); o += 8;
vst1q_u16(o, vreinterpretq_u16_f16(vy1)); o += 8;
vst1q_u16(o, vreinterpretq_u16_f16(vy2)); o += 8;
vst1q_u16(o, vreinterpretq_u16_f16(vy3)); o += 8;
}
for (; n >= 1 * sizeof(float16x8_t); n -= 1 * sizeof(float16x8_t)) {
const float16x8_t vx = vreinterpretq_f16_u16(vld1q_u16(i)); i += 8;
float16x8_t vz = vabsq_f16(vx);
vz = vminq_f16(vz, vsat_cutoff);
float16x8_t vn = vfmaq_f16(vmagic_bias, vz, vminus_log2e);
const float16x8_t vs = vreinterpretq_f16_s16(vshlq_n_s16(vreinterpretq_s16_f16(vn), 10));
vn = vsubq_f16(vn, vmagic_bias);
const float16x8_t vt = vfmaq_f16(vz, vn, vln2);
float16x8_t vp = vfmaq_f16(vc2, vc3, vt);
vp = vfmsq_f16(vtwo, vp, vt);
const float16x8_t vts = vmulq_f16(vt, vs);
const float16x8_t vsmo = vaddq_f16(vs, vminus_one);
const float16x8_t vemo = vfmsq_f16(vsmo, vp, vts);
const float16x8_t vepo = vaddq_f16(vemo, vtwo);
float16x8_t vy = vdivq_f16(vemo, vepo);
vy = vbslq_f16(vsign_mask, vx, vy);
vst1q_u16(o, vreinterpretq_u16_f16(vy)); o += 8;
}
if (n != 0) {
const float16x8_t vx = vreinterpretq_f16_u16(vld1q_u16(i)); i += 8;
float16x8_t vz = vabsq_f16(vx);
vz = vminq_f16(vz, vsat_cutoff);
float16x8_t vn = vfmaq_f16(vmagic_bias, vz, vminus_log2e);
const float16x8_t vs = vreinterpretq_f16_s16(vshlq_n_s16(vreinterpretq_s16_f16(vn), 10));
vn = vsubq_f16(vn, vmagic_bias);
const float16x8_t vt = vfmaq_f16(vz, vn, vln2);
float16x8_t vp = vfmaq_f16(vc2, vc3, vt);
vp = vfmsq_f16(vtwo, vp, vt);
const float16x8_t vts = vmulq_f16(vt, vs);
const float16x8_t vsmo = vaddq_f16(vs, vminus_one);
const float16x8_t vemo = vfmsq_f16(vsmo, vp, vts);
const float16x8_t vepo = vaddq_f16(vemo, vtwo);
float16x8_t vy = vdivq_f16(vemo, vepo);
vy = vbslq_f16(vsign_mask, vx, vy);
float16x4_t vy_lo = vget_low_f16(vy);
if (n & 4 * sizeof(uint16_t)) {
vst1_u16(o, vreinterpret_u16_f16(vy_lo)); o += 4;
vy_lo = vget_high_f16(vy);
}
if (n & 2 * sizeof(uint16_t)) {
vst1_lane_u32((void*) o, vreinterpret_u32_f16(vy_lo), 0); o+= 2;
vy_lo = vext_f16(vy_lo, vy_lo, 2);
}
if (n & 1 * sizeof(uint16_t)) {
vst1_lane_u16(o, vreinterpret_u16_f16(vy_lo), 0);
}
}
}