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// Auto-generated file. Do not edit!
// Template: src/f16-f32acc-rsum/neonfp16.c.in
// Generator: tools/xngen
//
// Copyright 2023 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/reduce.h>
void xnn_f16_f32acc_rsum_ukernel__neonfp16_x32_acc4(
size_t batch,
const void* input,
void* output,
const union xnn_f16_f32acc_scale_params params[restrict XNN_MIN_ELEMENTS(1)])
{
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;
float32x4_t vacc0 = vmovq_n_f32(0.0f);
float32x4_t vacc1 = vmovq_n_f32(0.0f);
float32x4_t vacc2 = vmovq_n_f32(0.0f);
float32x4_t vacc3 = vmovq_n_f32(0.0f);
for (; batch >= 32 * sizeof(uint16_t); batch -= 32 * sizeof(uint16_t)) {
const float16x8_t vh01 = vreinterpretq_f16_u16(vld1q_u16(i)); i += 8;
const float16x8_t vh23 = vreinterpretq_f16_u16(vld1q_u16(i)); i += 8;
const float16x8_t vh45 = vreinterpretq_f16_u16(vld1q_u16(i)); i += 8;
const float16x8_t vh67 = vreinterpretq_f16_u16(vld1q_u16(i)); i += 8;
const float32x4_t vt0 = vcvt_f32_f16(vget_low_f16(vh01));
const float32x4_t vt1 = vcvt_f32_f16(vget_high_f16(vh01));
const float32x4_t vt2 = vcvt_f32_f16(vget_low_f16(vh23));
const float32x4_t vt3 = vcvt_f32_f16(vget_high_f16(vh23));
const float32x4_t vt4 = vcvt_f32_f16(vget_low_f16(vh45));
const float32x4_t vt5 = vcvt_f32_f16(vget_high_f16(vh45));
const float32x4_t vt6 = vcvt_f32_f16(vget_low_f16(vh67));
const float32x4_t vt7 = vcvt_f32_f16(vget_high_f16(vh67));
vacc0 = vaddq_f32(vacc0, vt0);
vacc1 = vaddq_f32(vacc1, vt1);
vacc2 = vaddq_f32(vacc2, vt2);
vacc3 = vaddq_f32(vacc3, vt3);
vacc0 = vaddq_f32(vacc0, vt4);
vacc1 = vaddq_f32(vacc1, vt5);
vacc2 = vaddq_f32(vacc2, vt6);
vacc3 = vaddq_f32(vacc3, vt7);
}
vacc0 = vaddq_f32(vacc0, vacc1);
vacc2 = vaddq_f32(vacc2, vacc3);
vacc0 = vaddq_f32(vacc0, vacc2);
for (; batch >= 4 * sizeof(uint16_t); batch -= 4 * sizeof(uint16_t)) {
const float16x4_t vh = vreinterpret_f16_u16(vld1_u16(i)); i += 4;
const float32x4_t vt = vcvt_f32_f16(vh);
vacc0 = vaddq_f32(vacc0, vt);
}
const float32x2_t vscale = vld1_dup_f32(¶ms->scalar.scale);
float32x2_t vacc = vadd_f32(vget_low_f32(vacc0), vget_high_f32(vacc0));
if XNN_UNLIKELY(batch & (2 * sizeof(uint16_t))) {
const float16x4_t vh = vreinterpret_f16_u32(vld1_dup_u32((const void*) i)); i += 2;
const float32x4_t vt = vcvt_f32_f16(vh);
vacc = vadd_f32(vacc, vget_low_f32(vt));
}
vacc = vpadd_f32(vacc, vacc);
if XNN_UNLIKELY(batch & (1 * sizeof(uint16_t))) {
const float16x4_t vh = vreinterpret_f16_u16(vld1_dup_u16(i));
const float32x4_t vt = vcvt_f32_f16(vh);
vacc = vadd_f32(vacc, vget_low_f32(vt));
}
vacc = vmul_f32(vacc, vscale);
const float16x4_t vout = vcvt_f16_f32(vcombine_f32(vacc, vacc));
vst1_lane_u16(o, vreinterpret_u16_f16(vout), 0);
}
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