test / src /f16-prelu /gen /f16-prelu-neonfp16arith-2x8.c
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// Auto-generated file. Do not edit!
// Template: src/f16-prelu/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/prelu.h>
void xnn_f16_prelu_ukernel__neonfp16arith_2x8(
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) 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;
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 vw01234567 = vreinterpretq_f16_u16(vld1q_u16(w)); w += 8;
const float16x8_t vi0x01234567 = vreinterpretq_f16_u16(vld1q_u16(i0));
i0 += 8;
const float16x8_t vi1x01234567 = vreinterpretq_f16_u16(vld1q_u16(i1));
i1 += 8;
float16x8_t vacc0x01234567 = vmulq_f16(vi0x01234567, vw01234567);
const uint16x8_t vm0x01234567 = vcltq_s16(vreinterpretq_s16_f16(vi0x01234567), vmovq_n_s16(0));
float16x8_t vacc1x01234567 = vmulq_f16(vi1x01234567, vw01234567);
const uint16x8_t vm1x01234567 = vcltq_s16(vreinterpretq_s16_f16(vi1x01234567), vmovq_n_s16(0));
vacc0x01234567 = vbslq_f16(vm0x01234567, vacc0x01234567, vi0x01234567);
vacc1x01234567 = vbslq_f16(vm1x01234567, vacc1x01234567, vi1x01234567);
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 vw01234567 = vreinterpretq_f16_u16(vld1q_u16(w));
const float16x8_t vi0x01234567 = vreinterpretq_f16_u16(vld1q_u16(i0));
i0 = (const uint16_t*) ((uintptr_t) i0 + c);
const float16x8_t vi1x01234567 = vreinterpretq_f16_u16(vld1q_u16(i1));
i1 = (const uint16_t*) ((uintptr_t) i1 + c);
float16x8_t vacc0x01234567 = vmulq_f16(vi0x01234567, vw01234567);
const uint16x8_t vm0x01234567 = vcltq_s16(vreinterpretq_s16_f16(vi0x01234567), vmovq_n_s16(0));
float16x8_t vacc1x01234567 = vmulq_f16(vi1x01234567, vw01234567);
const uint16x8_t vm1x01234567 = vcltq_s16(vreinterpretq_s16_f16(vi1x01234567), vmovq_n_s16(0));
vacc0x01234567 = vbslq_f16(vm0x01234567, vacc0x01234567, vi0x01234567);
vacc1x01234567 = vbslq_f16(vm1x01234567, vacc1x01234567, vi1x01234567);
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;
vacc0x0123 = vext_f16(vacc0x0123, vacc0x0123, 2);
vst1_lane_u32((void*) o1, vreinterpret_u32_f16(vacc1x0123), 0); o1 += 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);
}