test / src /f16-gavgpool /gen /f16-gavgpool-7p7x-minmax-neonfp16arith-c8.c
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// Auto-generated file. Do not edit!
// Template: src/f16-gavgpool/multipass-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/gavgpool.h>
#include <xnnpack/math.h>
void xnn_f16_gavgpool_minmax_ukernel_7p7x__neonfp16arith_c8(
size_t rows,
size_t channels,
const void* input,
size_t input_stride,
const void* zero,
void* buffer,
void* output,
const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS
{
assert(rows > 7);
assert(channels != 0);
const uint16_t* i0 = input;
const uint16_t* i1 = (const uint16_t*) ((uintptr_t) i0 + input_stride);
const uint16_t* i2 = (const uint16_t*) ((uintptr_t) i1 + input_stride);
const uint16_t* i3 = (const uint16_t*) ((uintptr_t) i2 + input_stride);
const uint16_t* i4 = (const uint16_t*) ((uintptr_t) i3 + input_stride);
const uint16_t* i5 = (const uint16_t*) ((uintptr_t) i4 + input_stride);
const uint16_t* i6 = (const uint16_t*) ((uintptr_t) i5 + input_stride);
const size_t input_increment = 7 * input_stride - round_up_po2(channels, 8) * sizeof(uint16_t);
uint16_t* b = buffer;
size_t c = channels;
for (; c != 0; c = doz(c, 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;
const float16x8_t vi2x01234567 = vreinterpretq_f16_u16(vld1q_u16(i2)); i2 += 8;
float16x8_t vacc01234567 = vaddq_f16(vi0x01234567, vi1x01234567);
const float16x8_t vi3x01234567 = vreinterpretq_f16_u16(vld1q_u16(i3)); i3 += 8;
vacc01234567 = vaddq_f16(vacc01234567, vi2x01234567);
const float16x8_t vi4x01234567 = vreinterpretq_f16_u16(vld1q_u16(i4)); i4 += 8;
vacc01234567 = vaddq_f16(vacc01234567, vi3x01234567);
const float16x8_t vi5x01234567 = vreinterpretq_f16_u16(vld1q_u16(i5)); i5 += 8;
vacc01234567 = vaddq_f16(vacc01234567, vi4x01234567);
const float16x8_t vi6x01234567 = vreinterpretq_f16_u16(vld1q_u16(i6)); i6 += 8;
vacc01234567 = vaddq_f16(vacc01234567, vi5x01234567);
vacc01234567 = vaddq_f16(vacc01234567, vi6x01234567);
vst1q_u16(b, vreinterpretq_u16_f16(vacc01234567)); b += 8;
}
for (rows -= 7; rows > 7; rows -= 7) {
i0 = (const uint16_t*) ((uintptr_t) i0 + input_increment);
i1 = (const uint16_t*) ((uintptr_t) i1 + input_increment);
i2 = (const uint16_t*) ((uintptr_t) i2 + input_increment);
i3 = (const uint16_t*) ((uintptr_t) i3 + input_increment);
i4 = (const uint16_t*) ((uintptr_t) i4 + input_increment);
i5 = (const uint16_t*) ((uintptr_t) i5 + input_increment);
i6 = (const uint16_t*) ((uintptr_t) i6 + input_increment);
uint16_t* b = buffer;
size_t c = channels;
for (; c != 0; c = doz(c, 8)) {
float16x8_t vacc01234567 = vreinterpretq_f16_u16(vld1q_u16(b));
const float16x8_t vi0x01234567 = vreinterpretq_f16_u16(vld1q_u16(i0)); i0 += 8;
const float16x8_t vi1x01234567 = vreinterpretq_f16_u16(vld1q_u16(i1)); i1 += 8;
vacc01234567 = vaddq_f16(vacc01234567, vi0x01234567);
const float16x8_t vi2x01234567 = vreinterpretq_f16_u16(vld1q_u16(i2)); i2 += 8;
vacc01234567 = vaddq_f16(vacc01234567, vi1x01234567);
const float16x8_t vi3x01234567 = vreinterpretq_f16_u16(vld1q_u16(i3)); i3 += 8;
vacc01234567 = vaddq_f16(vacc01234567, vi2x01234567);
const float16x8_t vi4x01234567 = vreinterpretq_f16_u16(vld1q_u16(i4)); i4 += 8;
vacc01234567 = vaddq_f16(vacc01234567, vi3x01234567);
const float16x8_t vi5x01234567 = vreinterpretq_f16_u16(vld1q_u16(i5)); i5 += 8;
vacc01234567 = vaddq_f16(vacc01234567, vi4x01234567);
const float16x8_t vi6x01234567 = vreinterpretq_f16_u16(vld1q_u16(i6)); i6 += 8;
vacc01234567 = vaddq_f16(vacc01234567, vi5x01234567);
vacc01234567 = vaddq_f16(vacc01234567, vi6x01234567);
vst1q_u16(b, vreinterpretq_u16_f16(vacc01234567)); b += 8;
}
}
i0 = (const uint16_t*) ((uintptr_t) i0 + input_increment);
i1 = (const uint16_t*) ((uintptr_t) i1 + input_increment);
if XNN_UNPREDICTABLE(rows < 2) {
i1 = (const uint16_t*) zero;
}
i2 = (const uint16_t*) ((uintptr_t) i2 + input_increment);
if XNN_UNPREDICTABLE(rows <= 2) {
i2 = (const uint16_t*) zero;
}
i3 = (const uint16_t*) ((uintptr_t) i3 + input_increment);
if XNN_UNPREDICTABLE(rows < 4) {
i3 = (const uint16_t*) zero;
}
i4 = (const uint16_t*) ((uintptr_t) i4 + input_increment);
if XNN_UNPREDICTABLE(rows <= 4) {
i4 = (const uint16_t*) zero;
}
i5 = (const uint16_t*) ((uintptr_t) i5 + input_increment);
if XNN_UNPREDICTABLE(rows < 6) {
i5 = (const uint16_t*) zero;
}
i6 = (const uint16_t*) ((uintptr_t) i6 + input_increment);
if XNN_UNPREDICTABLE(rows <= 6) {
i6 = (const uint16_t*) zero;
}
const float16x8_t vscale = vreinterpretq_f16_u16(vld1q_dup_u16(&params->fp16arith.scale));
const float16x8_t vmin = vreinterpretq_f16_u16(vld1q_dup_u16(&params->fp16arith.min));
const float16x8_t vmax = vreinterpretq_f16_u16(vld1q_dup_u16(&params->fp16arith.max));
for (; channels >= 8; channels -= 8) {
float16x8_t vacc01234567 = vreinterpretq_f16_u16(vld1q_u16(buffer)); buffer = (uint16_t*) buffer + 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;
vacc01234567 = vaddq_f16(vacc01234567, vi0x01234567);
const float16x8_t vi2x01234567 = vreinterpretq_f16_u16(vld1q_u16(i2)); i2 += 8;
vacc01234567 = vaddq_f16(vacc01234567, vi1x01234567);
const float16x8_t vi3x01234567 = vreinterpretq_f16_u16(vld1q_u16(i3)); i3 += 8;
vacc01234567 = vaddq_f16(vacc01234567, vi2x01234567);
const float16x8_t vi4x01234567 = vreinterpretq_f16_u16(vld1q_u16(i4)); i4 += 8;
vacc01234567 = vaddq_f16(vacc01234567, vi3x01234567);
const float16x8_t vi5x01234567 = vreinterpretq_f16_u16(vld1q_u16(i5)); i5 += 8;
vacc01234567 = vaddq_f16(vacc01234567, vi4x01234567);
const float16x8_t vi6x01234567 = vreinterpretq_f16_u16(vld1q_u16(i6)); i6 += 8;
vacc01234567 = vaddq_f16(vacc01234567, vi5x01234567);
vacc01234567 = vaddq_f16(vacc01234567, vi6x01234567);
vacc01234567 = vmulq_f16(vacc01234567, vscale);
vacc01234567 = vmaxq_f16(vacc01234567, vmin);
vacc01234567 = vminq_f16(vacc01234567, vmax);
vst1q_u16(output, vreinterpretq_u16_f16(vacc01234567)); output = (uint16_t*) output + 8;
}
if XNN_UNLIKELY(channels != 0) {
{
float16x8_t vacc01234567 = vreinterpretq_f16_u16(vld1q_u16(buffer)); buffer = (uint16_t*) buffer + 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;
vacc01234567 = vaddq_f16(vacc01234567, vi0x01234567);
const float16x8_t vi2x01234567 = vreinterpretq_f16_u16(vld1q_u16(i2)); i2 += 8;
vacc01234567 = vaddq_f16(vacc01234567, vi1x01234567);
const float16x8_t vi3x01234567 = vreinterpretq_f16_u16(vld1q_u16(i3)); i3 += 8;
vacc01234567 = vaddq_f16(vacc01234567, vi2x01234567);
const float16x8_t vi4x01234567 = vreinterpretq_f16_u16(vld1q_u16(i4)); i4 += 8;
vacc01234567 = vaddq_f16(vacc01234567, vi3x01234567);
const float16x8_t vi5x01234567 = vreinterpretq_f16_u16(vld1q_u16(i5)); i5 += 8;
vacc01234567 = vaddq_f16(vacc01234567, vi4x01234567);
const float16x8_t vi6x01234567 = vreinterpretq_f16_u16(vld1q_u16(i6)); i6 += 8;
vacc01234567 = vaddq_f16(vacc01234567, vi5x01234567);
vacc01234567 = vaddq_f16(vacc01234567, vi6x01234567);
vacc01234567 = vmulq_f16(vacc01234567, vscale);
vacc01234567 = vmaxq_f16(vacc01234567, vmin);
vacc01234567 = vminq_f16(vacc01234567, vmax);
float16x4_t vacc0123 = vget_low_f16(vacc01234567);
if (channels & 4) {
vst1_u16(output, vreinterpret_u16_f16(vacc0123)); output = (uint16_t*) output + 4;
vacc0123 = vget_high_f16(vacc01234567);
}
if (channels & 2) {
vst1_lane_u32(output, vreinterpret_u32_f16(vacc0123), 0); output = (uint16_t*) output + 2;
vacc0123 = vext_f16(vacc0123, vacc0123, 2);
}
if (channels & 1) {
vst1_lane_u16(output, vreinterpret_u16_f16(vacc0123), 0); output = (uint16_t*) output + 1;
}
}
}
}