test / src /f16-ibilinear /gen /f16-ibilinear-fma3-c8.c
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// Auto-generated file. Do not edit!
// Template: src/f16-ibilinear/fma3.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 <immintrin.h>
#include <xnnpack/common.h>
#include <xnnpack/ibilinear.h>
#include <xnnpack/intrinsics-polyfill.h>
void xnn_f16_ibilinear_ukernel__fma3_c8(
size_t output_pixels,
size_t channels,
const void** restrict input,
size_t input_offset,
const void* restrict weights,
void* restrict output,
size_t output_increment) XNN_OOB_READS
{
assert(output_pixels != 0);
assert(channels != 0);
assert(channels % sizeof(uint16_t) == 0);
uint16_t* o = (uint16_t*) output;
do {
const uint16_t* i0 = (const uint16_t*) ((uintptr_t) input[0] + input_offset);
const uint16_t* i1 = (const uint16_t*) ((uintptr_t) input[1] + input_offset);
const uint16_t* i2 = (const uint16_t*) ((uintptr_t) input[2] + input_offset);
const uint16_t* i3 = (const uint16_t*) ((uintptr_t) input[3] + input_offset);
input += 4;
const __m256 valphahv = _mm256_cvtph_ps(_mm_castps_si128(_mm_broadcast_ss(weights)));
const __m256 valphah = _mm256_permute_ps(valphahv, _MM_SHUFFLE(2, 0, 2, 0));
const __m256 valphav = _mm256_permute_ps(valphahv, _MM_SHUFFLE(3, 1, 3, 1));
weights = (const uint16_t*) weights + 2;
size_t c = channels;
for (; c >= 8 * sizeof(uint16_t); c -= 8 * sizeof(uint16_t)) {
const __m256 vtl = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) i0));
i0 += 8;
const __m256 vtr = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) i1));
i1 += 8;
const __m256 vbl = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) i2));
i2 += 8;
const __m256 vbr = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) i3));
i3 += 8;
const __m256 vtd = _mm256_cvtph_ps(_mm256_cvtps_ph(_mm256_sub_ps(vtr, vtl), _MM_FROUND_TO_NEAREST_INT));
const __m256 vbd = _mm256_cvtph_ps(_mm256_cvtps_ph(_mm256_sub_ps(vbr, vbl), _MM_FROUND_TO_NEAREST_INT));
const __m256 vt = _mm256_cvtph_ps(_mm256_cvtps_ph(_mm256_fmadd_ps(vtd, valphah, vtl), _MM_FROUND_TO_NEAREST_INT));
const __m256 vb = _mm256_cvtph_ps(_mm256_cvtps_ph(_mm256_fmadd_ps(vbd, valphah, vbl), _MM_FROUND_TO_NEAREST_INT));
const __m256 vd = _mm256_cvtph_ps(_mm256_cvtps_ph(_mm256_sub_ps(vb, vt), _MM_FROUND_TO_NEAREST_INT));
const __m128i vo = _mm256_cvtps_ph(_mm256_fmadd_ps(vd, valphav, vt), _MM_FROUND_TO_NEAREST_INT);
_mm_storeu_si128((__m128i*) o, vo);
o += 8;
}
if XNN_UNLIKELY(c != 0) {
const __m256 vtl = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) i0));
i0 += 8;
const __m256 vtr = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) i1));
i1 += 8;
const __m256 vbl = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) i2));
i2 += 8;
const __m256 vbr = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) i3));
i3 += 8;
const __m256 vtd = _mm256_cvtph_ps(_mm256_cvtps_ph(_mm256_sub_ps(vtr, vtl), _MM_FROUND_TO_NEAREST_INT));
const __m256 vbd = _mm256_cvtph_ps(_mm256_cvtps_ph(_mm256_sub_ps(vbr, vbl), _MM_FROUND_TO_NEAREST_INT));
const __m256 vt = _mm256_cvtph_ps(_mm256_cvtps_ph(_mm256_fmadd_ps(vtd, valphah, vtl), _MM_FROUND_TO_NEAREST_INT));
const __m256 vb = _mm256_cvtph_ps(_mm256_cvtps_ph(_mm256_fmadd_ps(vbd, valphah, vbl), _MM_FROUND_TO_NEAREST_INT));
const __m256 vd = _mm256_cvtph_ps(_mm256_cvtps_ph(_mm256_sub_ps(vb, vt), _MM_FROUND_TO_NEAREST_INT));
__m128i vo = _mm256_cvtps_ph(_mm256_fmadd_ps(vd, valphav, vt), _MM_FROUND_TO_NEAREST_INT);
if (c & (4 * sizeof(uint16_t))) {
_mm_storel_epi64((__m128i*) o, vo);
vo = _mm_unpackhi_epi64(vo, vo);
o += 4;
}
if (c & (2 * sizeof(uint16_t))) {
_mm_storeu_si32(o, vo);
vo = _mm_srli_epi64(vo, 32);
o += 2;
}
if (c & (1 * sizeof(uint16_t))) {
*o = (uint16_t) _mm_extract_epi16(vo, 0);
o += 1;
}
}
o = (uint16_t*) ((uintptr_t) o + output_increment);
} while (--output_pixels != 0);
}