vpx/vpx_dsp/x86/sum_squares_sse2.c
Jingning Han e357b9efe0 Support measure distortion in the pixel domain
Use pixel domain distortion metric in speed 0. This improves the
compression performance by 0.3% for both low and high resolution
test sets.

Change-Id: I5b5b7115960de73f0b5e5d0c69db305e490e6f1d
2016-07-06 18:25:17 -07:00

129 lines
4.8 KiB
C

/*
* Copyright (c) 2016 The WebM project authors. All Rights Reserved.
*
* Use of this source code is governed by a BSD-style license
* that can be found in the LICENSE file in the root of the source
* tree. An additional intellectual property rights grant can be found
* in the file PATENTS. All contributing project authors may
* be found in the AUTHORS file in the root of the source tree.
*/
#include <assert.h>
#include <emmintrin.h>
#include <stdio.h>
#include "./vpx_dsp_rtcd.h"
static uint64_t vpx_sum_squares_2d_i16_4x4_sse2(const int16_t *src,
int stride) {
const __m128i v_val_0_w =
_mm_loadl_epi64((const __m128i *)(src + 0 * stride));
const __m128i v_val_1_w =
_mm_loadl_epi64((const __m128i *)(src + 1 * stride));
const __m128i v_val_2_w =
_mm_loadl_epi64((const __m128i *)(src + 2 * stride));
const __m128i v_val_3_w =
_mm_loadl_epi64((const __m128i *)(src + 3 * stride));
const __m128i v_sq_0_d = _mm_madd_epi16(v_val_0_w, v_val_0_w);
const __m128i v_sq_1_d = _mm_madd_epi16(v_val_1_w, v_val_1_w);
const __m128i v_sq_2_d = _mm_madd_epi16(v_val_2_w, v_val_2_w);
const __m128i v_sq_3_d = _mm_madd_epi16(v_val_3_w, v_val_3_w);
const __m128i v_sum_01_d = _mm_add_epi32(v_sq_0_d, v_sq_1_d);
const __m128i v_sum_23_d = _mm_add_epi32(v_sq_2_d, v_sq_3_d);
const __m128i v_sum_0123_d = _mm_add_epi32(v_sum_01_d, v_sum_23_d);
const __m128i v_sum_d =
_mm_add_epi32(v_sum_0123_d, _mm_srli_epi64(v_sum_0123_d, 32));
return (uint64_t)_mm_cvtsi128_si32(v_sum_d);
}
// TODO(jingning): Evaluate the performance impact here.
#ifdef __GNUC__
// This prevents GCC/Clang from inlining this function into
// vpx_sum_squares_2d_i16_sse2, which in turn saves some stack
// maintenance instructions in the common case of 4x4.
__attribute__((noinline))
#endif
static uint64_t
vpx_sum_squares_2d_i16_nxn_sse2(const int16_t *src, int stride, int size) {
int r, c;
const __m128i v_zext_mask_q = _mm_set_epi32(0, 0xffffffff, 0, 0xffffffff);
__m128i v_acc_q = _mm_setzero_si128();
for (r = 0; r < size; r += 8) {
__m128i v_acc_d = _mm_setzero_si128();
for (c = 0; c < size; c += 8) {
const int16_t *b = src + c;
const __m128i v_val_0_w =
_mm_load_si128((const __m128i *)(b + 0 * stride));
const __m128i v_val_1_w =
_mm_load_si128((const __m128i *)(b + 1 * stride));
const __m128i v_val_2_w =
_mm_load_si128((const __m128i *)(b + 2 * stride));
const __m128i v_val_3_w =
_mm_load_si128((const __m128i *)(b + 3 * stride));
const __m128i v_val_4_w =
_mm_load_si128((const __m128i *)(b + 4 * stride));
const __m128i v_val_5_w =
_mm_load_si128((const __m128i *)(b + 5 * stride));
const __m128i v_val_6_w =
_mm_load_si128((const __m128i *)(b + 6 * stride));
const __m128i v_val_7_w =
_mm_load_si128((const __m128i *)(b + 7 * stride));
const __m128i v_sq_0_d = _mm_madd_epi16(v_val_0_w, v_val_0_w);
const __m128i v_sq_1_d = _mm_madd_epi16(v_val_1_w, v_val_1_w);
const __m128i v_sq_2_d = _mm_madd_epi16(v_val_2_w, v_val_2_w);
const __m128i v_sq_3_d = _mm_madd_epi16(v_val_3_w, v_val_3_w);
const __m128i v_sq_4_d = _mm_madd_epi16(v_val_4_w, v_val_4_w);
const __m128i v_sq_5_d = _mm_madd_epi16(v_val_5_w, v_val_5_w);
const __m128i v_sq_6_d = _mm_madd_epi16(v_val_6_w, v_val_6_w);
const __m128i v_sq_7_d = _mm_madd_epi16(v_val_7_w, v_val_7_w);
const __m128i v_sum_01_d = _mm_add_epi32(v_sq_0_d, v_sq_1_d);
const __m128i v_sum_23_d = _mm_add_epi32(v_sq_2_d, v_sq_3_d);
const __m128i v_sum_45_d = _mm_add_epi32(v_sq_4_d, v_sq_5_d);
const __m128i v_sum_67_d = _mm_add_epi32(v_sq_6_d, v_sq_7_d);
const __m128i v_sum_0123_d = _mm_add_epi32(v_sum_01_d, v_sum_23_d);
const __m128i v_sum_4567_d = _mm_add_epi32(v_sum_45_d, v_sum_67_d);
v_acc_d = _mm_add_epi32(v_acc_d, v_sum_0123_d);
v_acc_d = _mm_add_epi32(v_acc_d, v_sum_4567_d);
}
v_acc_q = _mm_add_epi64(v_acc_q, _mm_and_si128(v_acc_d, v_zext_mask_q));
v_acc_q = _mm_add_epi64(v_acc_q, _mm_srli_epi64(v_acc_d, 32));
src += 8 * stride;
}
v_acc_q = _mm_add_epi64(v_acc_q, _mm_srli_si128(v_acc_q, 8));
#if ARCH_X86_64
return (uint64_t)_mm_cvtsi128_si64(v_acc_q);
#else
{
uint64_t tmp;
_mm_storel_epi64((__m128i *)&tmp, v_acc_q);
return tmp;
}
#endif
}
uint64_t vpx_sum_squares_2d_i16_sse2(const int16_t *src, int stride, int size) {
// 4 elements per row only requires half an XMM register, so this
// must be a special case, but also note that over 75% of all calls
// are with size == 4, so it is also the common case.
if (size == 4) {
return vpx_sum_squares_2d_i16_4x4_sse2(src, stride);
} else {
// Generic case
return vpx_sum_squares_2d_i16_nxn_sse2(src, stride, size);
}
}