test / src /f16-vsigmoid /gen /f16-vsigmoid-neonfp16arith-rr2-p2-nr1fma-x16.c
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// Auto-generated file. Do not edit!
// Template: src/f16-vsigmoid/neonfp16arith.c.in
// Generator: tools/xngen
//
// Copyright 2022 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/vunary.h>
void xnn_f16_vsigmoid_ukernel__neonfp16arith_rr2_p2_nr1fma_x16(
size_t batch,
const void* input,
void* output,
const union xnn_f16_sigmoid_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 float16x8_t vmagic_bias = vreinterpretq_f16_u16(vld1q_dup_u16(&params->fp16arith_rr2_p2.magic_bias));
const float16x8_t vminus_log2e = vreinterpretq_f16_u16(vld1q_dup_u16(&params->fp16arith_rr2_p2.minus_log2e));
const float16x8_t vln2_hi = vreinterpretq_f16_u16(vld1q_dup_u16(&params->fp16arith_rr2_p2.ln2_hi));
const float16x8_t vln2_lo = vreinterpretq_f16_u16(vld1q_dup_u16(&params->fp16arith_rr2_p2.ln2_lo));
const float16x8_t vc2 = vreinterpretq_f16_u16(vld1q_dup_u16(&params->fp16arith_rr2_p2.c2));
const float16x8_t vc1 = vreinterpretq_f16_u16(vld1q_dup_u16(&params->fp16arith_rr2_p2.c1));
const float16x8_t vone = vreinterpretq_f16_u16(vmovq_n_u16(UINT16_C(0x3C00))); // 1.0h
const float16x8_t vdenorm_cutoff = vreinterpretq_f16_u16(vld1q_dup_u16(&params->fp16arith_rr2_p2.denorm_cutoff));
const uint16_t* i = (const uint16_t*) input;
uint16_t* o = (uint16_t*) output;
for (; batch >= 16 * sizeof(uint16_t); batch -= 16 * sizeof(uint16_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 vz0 = vabsq_f16(vx0);
const float16x8_t vz1 = vabsq_f16(vx1);
float16x8_t vn0 = vfmaq_f16(vmagic_bias, vz0, vminus_log2e);
float16x8_t vn1 = vfmaq_f16(vmagic_bias, vz1, vminus_log2e);
const float16x8_t vs0 = vreinterpretq_f16_s16(vshlq_n_s16(vreinterpretq_s16_f16(vn0), 10));
const float16x8_t vs1 = vreinterpretq_f16_s16(vshlq_n_s16(vreinterpretq_s16_f16(vn1), 10));
vn0 = vsubq_f16(vn0, vmagic_bias);
vn1 = vsubq_f16(vn1, vmagic_bias);
float16x8_t vt0 = vfmaq_f16(vz0, vn0, vln2_hi);
float16x8_t vt1 = vfmaq_f16(vz1, vn1, vln2_hi);
vt0 = vfmaq_f16(vt0, vn0, vln2_lo);
vt1 = vfmaq_f16(vt1, vn1, vln2_lo);
const float16x8_t vp0 = vfmaq_f16(vc1, vc2, vt0);
const float16x8_t vp1 = vfmaq_f16(vc1, vc2, vt1);
vt0 = vmulq_f16(vt0, vs0);
vt1 = vmulq_f16(vt1, vs1);
const float16x8_t ve0 = vfmaq_f16(vs0, vp0, vt0);
const float16x8_t ve1 = vfmaq_f16(vs1, vp1, vt1);
const float16x8_t vd0 = vaddq_f16(ve0, vone);
const float16x8_t vd1 = vaddq_f16(ve1, vone);
float16x8_t vr0 = vrecpeq_f16(vd0);
float16x8_t vr1 = vrecpeq_f16(vd1);
const float16x8_t vadj0 = vfmsq_f16(vone, vr0, vd0);
const float16x8_t vadj1 = vfmsq_f16(vone, vr1, vd1);
vr0 = vfmaq_f16(vr0, vr0, vadj0);
vr1 = vfmaq_f16(vr1, vr1, vadj1);
float16x8_t vf0 = vmulq_f16(ve0, vr0);
float16x8_t vf1 = vmulq_f16(ve1, vr1);
vf0 = vreinterpretq_f16_u16(vbicq_u16(vreinterpretq_u16_f16(vf0), vcagtq_f16(vx0, vdenorm_cutoff)));
vf1 = vreinterpretq_f16_u16(vbicq_u16(vreinterpretq_u16_f16(vf1), vcagtq_f16(vx1, vdenorm_cutoff)));
const uint16x8_t vm0 = vcltq_f16(vx0, vreinterpretq_f16_u16(vmovq_n_u16(0)));
const uint16x8_t vm1 = vcltq_f16(vx1, vreinterpretq_f16_u16(vmovq_n_u16(0)));
vf0 = vbslq_f16(vm0, vf0, vsubq_f16(vone, vf0));
vf1 = vbslq_f16(vm1, vf1, vsubq_f16(vone, vf1));
vst1q_u16(o, vreinterpretq_u16_f16(vf0)); o += 8;
vst1q_u16(o, vreinterpretq_u16_f16(vf1)); o += 8;
}
for (; batch >= 8 * sizeof(uint16_t); batch -= 8 * sizeof(uint16_t)) {
const float16x8_t vx = vreinterpretq_f16_u16(vld1q_u16(i)); i += 8;
const float16x8_t vz = vabsq_f16(vx);
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);
float16x8_t vt = vfmaq_f16(vz, vn, vln2_hi);
vt = vfmaq_f16(vt, vn, vln2_lo);
const float16x8_t vp = vfmaq_f16(vc1, vc2, vt);
vt = vmulq_f16(vt, vs);
const float16x8_t ve = vfmaq_f16(vs, vp, vt);
const float16x8_t vd = vaddq_f16(ve, vone);
float16x8_t vr = vrecpeq_f16(vd);
const float16x8_t vadj = vfmsq_f16(vone, vr, vd);
vr = vfmaq_f16(vr, vr, vadj);
float16x8_t vf = vmulq_f16(ve, vr);
vf = vreinterpretq_f16_u16(vbicq_u16(vreinterpretq_u16_f16(vf), vcagtq_f16(vx, vdenorm_cutoff)));
const uint16x8_t vm = vcltq_f16(vx, vreinterpretq_f16_u16(vmovq_n_u16(0)));
vf = vbslq_f16(vm, vf, vsubq_f16(vone, vf));
vst1q_u16(o, vreinterpretq_u16_f16(vf)); o += 8;
}
if XNN_UNLIKELY(batch != 0) {
const float16x8_t vx = vreinterpretq_f16_u16(vld1q_u16(i));
const float16x8_t vz = vabsq_f16(vx);
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);
float16x8_t vt = vfmaq_f16(vz, vn, vln2_hi);
vt = vfmaq_f16(vt, vn, vln2_lo);
const float16x8_t vp = vfmaq_f16(vc1, vc2, vt);
vt = vmulq_f16(vt, vs);
const float16x8_t ve = vfmaq_f16(vs, vp, vt);
const float16x8_t vd = vaddq_f16(ve, vone);
float16x8_t vr = vrecpeq_f16(vd);
const float16x8_t vadj = vfmsq_f16(vone, vr, vd);
vr = vfmaq_f16(vr, vr, vadj);
float16x8_t vf = vmulq_f16(ve, vr);
vf = vreinterpretq_f16_u16(vbicq_u16(vreinterpretq_u16_f16(vf), vcagtq_f16(vx, vdenorm_cutoff)));
const uint16x8_t vm = vcltq_f16(vx, vreinterpretq_f16_u16(vmovq_n_u16(0)));
vf = vbslq_f16(vm, vf, vsubq_f16(vone, vf));
float16x4_t vf_lo = vget_low_f16(vf);
if (batch & (4 * sizeof(uint16_t))) {
vst1_u16(o, vreinterpret_u16_f16(vf_lo)); o += 4;
vf_lo = vget_high_f16(vf);
}
if (batch & (2 * sizeof(uint16_t))) {
vst1_lane_u32((void*) o, vreinterpret_u32_f16(vf_lo), 0); o += 2;
vf_lo = vext_f16(vf_lo, vf_lo, 2);
}
if (batch & (1 * sizeof(uint16_t))) {
vst1_lane_u16(o, vreinterpret_u16_f16(vf_lo), 0);
}
}
}