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// Auto-generated file. Do not edit!
// Template: src/f16-vmulcaddc/neonfp16arith.c.in
// Generator: tools/xngen
//
// 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.
#include <assert.h>
#include <arm_neon.h>
#include <xnnpack/math.h>
#include <xnnpack/vmulcaddc.h>
void xnn_f16_vmulcaddc_minmax_ukernel_c8__neonfp16arith_2x(
size_t rows,
size_t channels,
const void* restrict input,
size_t input_stride,
const void* restrict weights,
void* restrict output,
size_t output_stride,
const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS
{
assert(rows != 0);
assert(channels != 0);
assert(channels % sizeof(uint16_t) == 0);
const uint16_t* i0 = (const uint16_t*) input;
uint16_t* o0 = (uint16_t*) output;
const uint16_t* i1 = (const uint16_t*) ((uintptr_t) i0 + input_stride);
uint16_t* o1 = (uint16_t*) ((uintptr_t) o0 + output_stride);
const size_t input_increment = input_stride * 2 - channels;
const size_t output_increment = output_stride * 2 - channels;
const float16x8_t vmin = vreinterpretq_f16_u16(vld1q_dup_u16(¶ms->fp16arith.min));
const float16x8_t vmax = vreinterpretq_f16_u16(vld1q_dup_u16(¶ms->fp16arith.max));
do {
if XNN_UNPREDICTABLE(rows < 2) {
i1 = i0;
o1 = o0;
}
const uint16_t* w = (const uint16_t*) weights;
size_t c = channels;
for (; c >= 8 * sizeof(uint16_t); c -= 8 * sizeof(uint16_t)) {
const float16x8_t vscale01234567 = vreinterpretq_f16_u16(vld1q_u16(w));
float16x8_t vacc0x01234567 = vreinterpretq_f16_u16(vld1q_u16(i0)); i0 += 8;
float16x8_t vacc1x01234567 = vreinterpretq_f16_u16(vld1q_u16(i1)); i1 += 8;
const float16x8_t vbias01234567 = vreinterpretq_f16_u16(vld1q_u16(w + 8));
w += 16;
vacc0x01234567 = vfmaq_f16(vbias01234567, vscale01234567, vacc0x01234567);
vacc1x01234567 = vfmaq_f16(vbias01234567, vscale01234567, vacc1x01234567);
vacc0x01234567 = vmaxq_f16(vacc0x01234567, vmin);
vacc1x01234567 = vmaxq_f16(vacc1x01234567, vmin);
vacc0x01234567 = vminq_f16(vacc0x01234567, vmax);
vacc1x01234567 = vminq_f16(vacc1x01234567, vmax);
vst1q_u16(o0, vreinterpretq_u16_f16(vacc0x01234567)); o0 += 8;
vst1q_u16(o1, vreinterpretq_u16_f16(vacc1x01234567)); o1 += 8;
}
if XNN_UNLIKELY(c != 0) {
const float16x8_t vscale01234567 = vreinterpretq_f16_u16(vld1q_u16(w));
float16x8_t vacc0x01234567 = vreinterpretq_f16_u16(vld1q_u16(i0)); i0 = (const uint16_t*) ((uintptr_t) i0 + c);
float16x8_t vacc1x01234567 = vreinterpretq_f16_u16(vld1q_u16(i1)); i1 = (const uint16_t*) ((uintptr_t) i1 + c);
const float16x8_t vbias01234567 = vreinterpretq_f16_u16(vld1q_u16(w + 8));
vacc0x01234567 = vfmaq_f16(vbias01234567, vscale01234567, vacc0x01234567);
vacc1x01234567 = vfmaq_f16(vbias01234567, vscale01234567, vacc1x01234567);
vacc0x01234567 = vmaxq_f16(vacc0x01234567, vmin);
vacc1x01234567 = vmaxq_f16(vacc1x01234567, vmin);
vacc0x01234567 = vminq_f16(vacc0x01234567, vmax);
vacc1x01234567 = vminq_f16(vacc1x01234567, vmax);
float16x4_t vacc0x0123 = vget_low_f16(vacc0x01234567);
float16x4_t vacc1x0123 = vget_low_f16(vacc1x01234567);
if (c & (4 * sizeof(uint16_t))) {
vst1_u16(o0, vreinterpret_u16_f16(vacc0x0123)); o0 += 4;
vst1_u16(o1, vreinterpret_u16_f16(vacc1x0123)); o1 += 4;
vacc0x0123 = vget_high_f16(vacc0x01234567);
vacc1x0123 = vget_high_f16(vacc1x01234567);
}
if (c & (2 * sizeof(uint16_t))) {
vst1_lane_u32((void*) o0, vreinterpret_u32_f16(vacc0x0123), 0); o0 += 2;
vst1_lane_u32((void*) o1, vreinterpret_u32_f16(vacc1x0123), 0); o1 += 2;
vacc0x0123 = vext_f16(vacc0x0123, vacc0x0123, 2);
vacc1x0123 = vext_f16(vacc1x0123, vacc1x0123, 2);
}
if (c & (1 * sizeof(uint16_t))) {
vst1_lane_u16(o0, vreinterpret_u16_f16(vacc0x0123), 0); o0 += 1;
vst1_lane_u16(o1, vreinterpret_u16_f16(vacc1x0123), 0); o1 += 1;
}
}
i0 = (const uint16_t*) ((uintptr_t) i0 + input_increment);
o0 = (uint16_t*) ((uintptr_t) o0 + output_increment);
i1 = (const uint16_t*) ((uintptr_t) i1 + input_increment);
o1 = (uint16_t*) ((uintptr_t) o1 + output_increment);
rows = doz(rows, 2);
} while (rows != 0);
}
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