e357b9efe0
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
129 lines
4.8 KiB
C
129 lines
4.8 KiB
C
/*
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* Copyright (c) 2016 The WebM project authors. All Rights Reserved.
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*
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* Use of this source code is governed by a BSD-style license
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* that can be found in the LICENSE file in the root of the source
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* tree. An additional intellectual property rights grant can be found
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* in the file PATENTS. All contributing project authors may
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* be found in the AUTHORS file in the root of the source tree.
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*/
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#include <assert.h>
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#include <emmintrin.h>
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#include <stdio.h>
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#include "./vpx_dsp_rtcd.h"
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static uint64_t vpx_sum_squares_2d_i16_4x4_sse2(const int16_t *src,
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int stride) {
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const __m128i v_val_0_w =
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_mm_loadl_epi64((const __m128i *)(src + 0 * stride));
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const __m128i v_val_1_w =
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_mm_loadl_epi64((const __m128i *)(src + 1 * stride));
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const __m128i v_val_2_w =
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_mm_loadl_epi64((const __m128i *)(src + 2 * stride));
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const __m128i v_val_3_w =
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_mm_loadl_epi64((const __m128i *)(src + 3 * stride));
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const __m128i v_sq_0_d = _mm_madd_epi16(v_val_0_w, v_val_0_w);
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const __m128i v_sq_1_d = _mm_madd_epi16(v_val_1_w, v_val_1_w);
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const __m128i v_sq_2_d = _mm_madd_epi16(v_val_2_w, v_val_2_w);
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const __m128i v_sq_3_d = _mm_madd_epi16(v_val_3_w, v_val_3_w);
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const __m128i v_sum_01_d = _mm_add_epi32(v_sq_0_d, v_sq_1_d);
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const __m128i v_sum_23_d = _mm_add_epi32(v_sq_2_d, v_sq_3_d);
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const __m128i v_sum_0123_d = _mm_add_epi32(v_sum_01_d, v_sum_23_d);
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const __m128i v_sum_d =
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_mm_add_epi32(v_sum_0123_d, _mm_srli_epi64(v_sum_0123_d, 32));
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return (uint64_t)_mm_cvtsi128_si32(v_sum_d);
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}
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// TODO(jingning): Evaluate the performance impact here.
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#ifdef __GNUC__
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// This prevents GCC/Clang from inlining this function into
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// vpx_sum_squares_2d_i16_sse2, which in turn saves some stack
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// maintenance instructions in the common case of 4x4.
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__attribute__((noinline))
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#endif
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static uint64_t
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vpx_sum_squares_2d_i16_nxn_sse2(const int16_t *src, int stride, int size) {
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int r, c;
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const __m128i v_zext_mask_q = _mm_set_epi32(0, 0xffffffff, 0, 0xffffffff);
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__m128i v_acc_q = _mm_setzero_si128();
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for (r = 0; r < size; r += 8) {
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__m128i v_acc_d = _mm_setzero_si128();
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for (c = 0; c < size; c += 8) {
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const int16_t *b = src + c;
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const __m128i v_val_0_w =
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_mm_load_si128((const __m128i *)(b + 0 * stride));
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const __m128i v_val_1_w =
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_mm_load_si128((const __m128i *)(b + 1 * stride));
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const __m128i v_val_2_w =
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_mm_load_si128((const __m128i *)(b + 2 * stride));
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const __m128i v_val_3_w =
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_mm_load_si128((const __m128i *)(b + 3 * stride));
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const __m128i v_val_4_w =
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_mm_load_si128((const __m128i *)(b + 4 * stride));
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const __m128i v_val_5_w =
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_mm_load_si128((const __m128i *)(b + 5 * stride));
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const __m128i v_val_6_w =
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_mm_load_si128((const __m128i *)(b + 6 * stride));
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const __m128i v_val_7_w =
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_mm_load_si128((const __m128i *)(b + 7 * stride));
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const __m128i v_sq_0_d = _mm_madd_epi16(v_val_0_w, v_val_0_w);
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const __m128i v_sq_1_d = _mm_madd_epi16(v_val_1_w, v_val_1_w);
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const __m128i v_sq_2_d = _mm_madd_epi16(v_val_2_w, v_val_2_w);
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const __m128i v_sq_3_d = _mm_madd_epi16(v_val_3_w, v_val_3_w);
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const __m128i v_sq_4_d = _mm_madd_epi16(v_val_4_w, v_val_4_w);
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const __m128i v_sq_5_d = _mm_madd_epi16(v_val_5_w, v_val_5_w);
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const __m128i v_sq_6_d = _mm_madd_epi16(v_val_6_w, v_val_6_w);
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const __m128i v_sq_7_d = _mm_madd_epi16(v_val_7_w, v_val_7_w);
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const __m128i v_sum_01_d = _mm_add_epi32(v_sq_0_d, v_sq_1_d);
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const __m128i v_sum_23_d = _mm_add_epi32(v_sq_2_d, v_sq_3_d);
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const __m128i v_sum_45_d = _mm_add_epi32(v_sq_4_d, v_sq_5_d);
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const __m128i v_sum_67_d = _mm_add_epi32(v_sq_6_d, v_sq_7_d);
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const __m128i v_sum_0123_d = _mm_add_epi32(v_sum_01_d, v_sum_23_d);
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const __m128i v_sum_4567_d = _mm_add_epi32(v_sum_45_d, v_sum_67_d);
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v_acc_d = _mm_add_epi32(v_acc_d, v_sum_0123_d);
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v_acc_d = _mm_add_epi32(v_acc_d, v_sum_4567_d);
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}
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v_acc_q = _mm_add_epi64(v_acc_q, _mm_and_si128(v_acc_d, v_zext_mask_q));
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v_acc_q = _mm_add_epi64(v_acc_q, _mm_srli_epi64(v_acc_d, 32));
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src += 8 * stride;
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}
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v_acc_q = _mm_add_epi64(v_acc_q, _mm_srli_si128(v_acc_q, 8));
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#if ARCH_X86_64
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return (uint64_t)_mm_cvtsi128_si64(v_acc_q);
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#else
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{
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uint64_t tmp;
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_mm_storel_epi64((__m128i *)&tmp, v_acc_q);
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return tmp;
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}
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#endif
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}
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uint64_t vpx_sum_squares_2d_i16_sse2(const int16_t *src, int stride, int size) {
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// 4 elements per row only requires half an XMM register, so this
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// must be a special case, but also note that over 75% of all calls
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// are with size == 4, so it is also the common case.
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if (size == 4) {
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return vpx_sum_squares_2d_i16_4x4_sse2(src, stride);
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} else {
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// Generic case
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return vpx_sum_squares_2d_i16_nxn_sse2(src, stride, size);
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}
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}
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