340 lines
13 KiB
C
340 lines
13 KiB
C
// Copyright 2015 Google Inc. 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 COPYING 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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//
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// SSE4 version of some encoding functions.
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//
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// Author: Skal (pascal.massimino@gmail.com)
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#include "./dsp.h"
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#if defined(WEBP_USE_SSE41)
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#include <smmintrin.h>
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#include <stdlib.h> // for abs()
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#include "./common_sse2.h"
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#include "../enc/vp8i_enc.h"
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//------------------------------------------------------------------------------
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// Compute susceptibility based on DCT-coeff histograms.
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static void CollectHistogram(const uint8_t* ref, const uint8_t* pred,
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int start_block, int end_block,
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VP8Histogram* const histo) {
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const __m128i max_coeff_thresh = _mm_set1_epi16(MAX_COEFF_THRESH);
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int j;
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int distribution[MAX_COEFF_THRESH + 1] = { 0 };
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for (j = start_block; j < end_block; ++j) {
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int16_t out[16];
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int k;
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VP8FTransform(ref + VP8DspScan[j], pred + VP8DspScan[j], out);
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// Convert coefficients to bin (within out[]).
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{
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// Load.
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const __m128i out0 = _mm_loadu_si128((__m128i*)&out[0]);
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const __m128i out1 = _mm_loadu_si128((__m128i*)&out[8]);
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// v = abs(out) >> 3
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const __m128i abs0 = _mm_abs_epi16(out0);
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const __m128i abs1 = _mm_abs_epi16(out1);
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const __m128i v0 = _mm_srai_epi16(abs0, 3);
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const __m128i v1 = _mm_srai_epi16(abs1, 3);
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// bin = min(v, MAX_COEFF_THRESH)
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const __m128i bin0 = _mm_min_epi16(v0, max_coeff_thresh);
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const __m128i bin1 = _mm_min_epi16(v1, max_coeff_thresh);
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// Store.
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_mm_storeu_si128((__m128i*)&out[0], bin0);
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_mm_storeu_si128((__m128i*)&out[8], bin1);
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}
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// Convert coefficients to bin.
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for (k = 0; k < 16; ++k) {
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++distribution[out[k]];
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}
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}
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VP8SetHistogramData(distribution, histo);
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}
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//------------------------------------------------------------------------------
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// Texture distortion
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//
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// We try to match the spectral content (weighted) between source and
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// reconstructed samples.
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// Hadamard transform
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// Returns the weighted sum of the absolute value of transformed coefficients.
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// w[] contains a row-major 4 by 4 symmetric matrix.
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static int TTransform(const uint8_t* inA, const uint8_t* inB,
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const uint16_t* const w) {
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int32_t sum[4];
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__m128i tmp_0, tmp_1, tmp_2, tmp_3;
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// Load and combine inputs.
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{
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const __m128i inA_0 = _mm_loadu_si128((const __m128i*)&inA[BPS * 0]);
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const __m128i inA_1 = _mm_loadu_si128((const __m128i*)&inA[BPS * 1]);
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const __m128i inA_2 = _mm_loadu_si128((const __m128i*)&inA[BPS * 2]);
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// In SSE4.1, with gcc 4.8 at least (maybe other versions),
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// _mm_loadu_si128 is faster than _mm_loadl_epi64. But for the last lump
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// of inA and inB, _mm_loadl_epi64 is still used not to have an out of
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// bound read.
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const __m128i inA_3 = _mm_loadl_epi64((const __m128i*)&inA[BPS * 3]);
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const __m128i inB_0 = _mm_loadu_si128((const __m128i*)&inB[BPS * 0]);
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const __m128i inB_1 = _mm_loadu_si128((const __m128i*)&inB[BPS * 1]);
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const __m128i inB_2 = _mm_loadu_si128((const __m128i*)&inB[BPS * 2]);
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const __m128i inB_3 = _mm_loadl_epi64((const __m128i*)&inB[BPS * 3]);
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// Combine inA and inB (we'll do two transforms in parallel).
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const __m128i inAB_0 = _mm_unpacklo_epi32(inA_0, inB_0);
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const __m128i inAB_1 = _mm_unpacklo_epi32(inA_1, inB_1);
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const __m128i inAB_2 = _mm_unpacklo_epi32(inA_2, inB_2);
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const __m128i inAB_3 = _mm_unpacklo_epi32(inA_3, inB_3);
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tmp_0 = _mm_cvtepu8_epi16(inAB_0);
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tmp_1 = _mm_cvtepu8_epi16(inAB_1);
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tmp_2 = _mm_cvtepu8_epi16(inAB_2);
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tmp_3 = _mm_cvtepu8_epi16(inAB_3);
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// a00 a01 a02 a03 b00 b01 b02 b03
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// a10 a11 a12 a13 b10 b11 b12 b13
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// a20 a21 a22 a23 b20 b21 b22 b23
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// a30 a31 a32 a33 b30 b31 b32 b33
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}
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// Vertical pass first to avoid a transpose (vertical and horizontal passes
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// are commutative because w/kWeightY is symmetric) and subsequent transpose.
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{
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// Calculate a and b (two 4x4 at once).
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const __m128i a0 = _mm_add_epi16(tmp_0, tmp_2);
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const __m128i a1 = _mm_add_epi16(tmp_1, tmp_3);
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const __m128i a2 = _mm_sub_epi16(tmp_1, tmp_3);
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const __m128i a3 = _mm_sub_epi16(tmp_0, tmp_2);
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const __m128i b0 = _mm_add_epi16(a0, a1);
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const __m128i b1 = _mm_add_epi16(a3, a2);
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const __m128i b2 = _mm_sub_epi16(a3, a2);
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const __m128i b3 = _mm_sub_epi16(a0, a1);
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// a00 a01 a02 a03 b00 b01 b02 b03
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// a10 a11 a12 a13 b10 b11 b12 b13
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// a20 a21 a22 a23 b20 b21 b22 b23
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// a30 a31 a32 a33 b30 b31 b32 b33
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// Transpose the two 4x4.
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VP8Transpose_2_4x4_16b(&b0, &b1, &b2, &b3, &tmp_0, &tmp_1, &tmp_2, &tmp_3);
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}
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// Horizontal pass and difference of weighted sums.
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{
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// Load all inputs.
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const __m128i w_0 = _mm_loadu_si128((const __m128i*)&w[0]);
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const __m128i w_8 = _mm_loadu_si128((const __m128i*)&w[8]);
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// Calculate a and b (two 4x4 at once).
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const __m128i a0 = _mm_add_epi16(tmp_0, tmp_2);
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const __m128i a1 = _mm_add_epi16(tmp_1, tmp_3);
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const __m128i a2 = _mm_sub_epi16(tmp_1, tmp_3);
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const __m128i a3 = _mm_sub_epi16(tmp_0, tmp_2);
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const __m128i b0 = _mm_add_epi16(a0, a1);
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const __m128i b1 = _mm_add_epi16(a3, a2);
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const __m128i b2 = _mm_sub_epi16(a3, a2);
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const __m128i b3 = _mm_sub_epi16(a0, a1);
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// Separate the transforms of inA and inB.
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__m128i A_b0 = _mm_unpacklo_epi64(b0, b1);
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__m128i A_b2 = _mm_unpacklo_epi64(b2, b3);
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__m128i B_b0 = _mm_unpackhi_epi64(b0, b1);
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__m128i B_b2 = _mm_unpackhi_epi64(b2, b3);
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A_b0 = _mm_abs_epi16(A_b0);
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A_b2 = _mm_abs_epi16(A_b2);
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B_b0 = _mm_abs_epi16(B_b0);
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B_b2 = _mm_abs_epi16(B_b2);
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// weighted sums
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A_b0 = _mm_madd_epi16(A_b0, w_0);
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A_b2 = _mm_madd_epi16(A_b2, w_8);
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B_b0 = _mm_madd_epi16(B_b0, w_0);
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B_b2 = _mm_madd_epi16(B_b2, w_8);
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A_b0 = _mm_add_epi32(A_b0, A_b2);
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B_b0 = _mm_add_epi32(B_b0, B_b2);
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// difference of weighted sums
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A_b2 = _mm_sub_epi32(A_b0, B_b0);
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_mm_storeu_si128((__m128i*)&sum[0], A_b2);
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}
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return sum[0] + sum[1] + sum[2] + sum[3];
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}
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static int Disto4x4(const uint8_t* const a, const uint8_t* const b,
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const uint16_t* const w) {
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const int diff_sum = TTransform(a, b, w);
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return abs(diff_sum) >> 5;
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}
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static int Disto16x16(const uint8_t* const a, const uint8_t* const b,
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const uint16_t* const w) {
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int D = 0;
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int x, y;
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for (y = 0; y < 16 * BPS; y += 4 * BPS) {
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for (x = 0; x < 16; x += 4) {
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D += Disto4x4(a + x + y, b + x + y, w);
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}
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}
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return D;
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}
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//------------------------------------------------------------------------------
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// Quantization
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//
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// Generates a pshufb constant for shuffling 16b words.
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#define PSHUFB_CST(A,B,C,D,E,F,G,H) \
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_mm_set_epi8(2 * (H) + 1, 2 * (H) + 0, 2 * (G) + 1, 2 * (G) + 0, \
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2 * (F) + 1, 2 * (F) + 0, 2 * (E) + 1, 2 * (E) + 0, \
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2 * (D) + 1, 2 * (D) + 0, 2 * (C) + 1, 2 * (C) + 0, \
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2 * (B) + 1, 2 * (B) + 0, 2 * (A) + 1, 2 * (A) + 0)
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static WEBP_INLINE int DoQuantizeBlock(int16_t in[16], int16_t out[16],
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const uint16_t* const sharpen,
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const VP8Matrix* const mtx) {
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const __m128i max_coeff_2047 = _mm_set1_epi16(MAX_LEVEL);
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const __m128i zero = _mm_setzero_si128();
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__m128i out0, out8;
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__m128i packed_out;
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// Load all inputs.
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__m128i in0 = _mm_loadu_si128((__m128i*)&in[0]);
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__m128i in8 = _mm_loadu_si128((__m128i*)&in[8]);
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const __m128i iq0 = _mm_loadu_si128((const __m128i*)&mtx->iq_[0]);
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const __m128i iq8 = _mm_loadu_si128((const __m128i*)&mtx->iq_[8]);
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const __m128i q0 = _mm_loadu_si128((const __m128i*)&mtx->q_[0]);
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const __m128i q8 = _mm_loadu_si128((const __m128i*)&mtx->q_[8]);
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// coeff = abs(in)
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__m128i coeff0 = _mm_abs_epi16(in0);
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__m128i coeff8 = _mm_abs_epi16(in8);
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// coeff = abs(in) + sharpen
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if (sharpen != NULL) {
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const __m128i sharpen0 = _mm_loadu_si128((const __m128i*)&sharpen[0]);
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const __m128i sharpen8 = _mm_loadu_si128((const __m128i*)&sharpen[8]);
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coeff0 = _mm_add_epi16(coeff0, sharpen0);
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coeff8 = _mm_add_epi16(coeff8, sharpen8);
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}
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// out = (coeff * iQ + B) >> QFIX
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{
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// doing calculations with 32b precision (QFIX=17)
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// out = (coeff * iQ)
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const __m128i coeff_iQ0H = _mm_mulhi_epu16(coeff0, iq0);
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const __m128i coeff_iQ0L = _mm_mullo_epi16(coeff0, iq0);
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const __m128i coeff_iQ8H = _mm_mulhi_epu16(coeff8, iq8);
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const __m128i coeff_iQ8L = _mm_mullo_epi16(coeff8, iq8);
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__m128i out_00 = _mm_unpacklo_epi16(coeff_iQ0L, coeff_iQ0H);
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__m128i out_04 = _mm_unpackhi_epi16(coeff_iQ0L, coeff_iQ0H);
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__m128i out_08 = _mm_unpacklo_epi16(coeff_iQ8L, coeff_iQ8H);
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__m128i out_12 = _mm_unpackhi_epi16(coeff_iQ8L, coeff_iQ8H);
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// out = (coeff * iQ + B)
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const __m128i bias_00 = _mm_loadu_si128((const __m128i*)&mtx->bias_[0]);
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const __m128i bias_04 = _mm_loadu_si128((const __m128i*)&mtx->bias_[4]);
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const __m128i bias_08 = _mm_loadu_si128((const __m128i*)&mtx->bias_[8]);
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const __m128i bias_12 = _mm_loadu_si128((const __m128i*)&mtx->bias_[12]);
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out_00 = _mm_add_epi32(out_00, bias_00);
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out_04 = _mm_add_epi32(out_04, bias_04);
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out_08 = _mm_add_epi32(out_08, bias_08);
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out_12 = _mm_add_epi32(out_12, bias_12);
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// out = QUANTDIV(coeff, iQ, B, QFIX)
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out_00 = _mm_srai_epi32(out_00, QFIX);
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out_04 = _mm_srai_epi32(out_04, QFIX);
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out_08 = _mm_srai_epi32(out_08, QFIX);
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out_12 = _mm_srai_epi32(out_12, QFIX);
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// pack result as 16b
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out0 = _mm_packs_epi32(out_00, out_04);
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out8 = _mm_packs_epi32(out_08, out_12);
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// if (coeff > 2047) coeff = 2047
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out0 = _mm_min_epi16(out0, max_coeff_2047);
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out8 = _mm_min_epi16(out8, max_coeff_2047);
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}
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// put sign back
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out0 = _mm_sign_epi16(out0, in0);
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out8 = _mm_sign_epi16(out8, in8);
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// in = out * Q
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in0 = _mm_mullo_epi16(out0, q0);
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in8 = _mm_mullo_epi16(out8, q8);
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_mm_storeu_si128((__m128i*)&in[0], in0);
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_mm_storeu_si128((__m128i*)&in[8], in8);
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// zigzag the output before storing it. The re-ordering is:
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// 0 1 2 3 4 5 6 7 | 8 9 10 11 12 13 14 15
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// -> 0 1 4[8]5 2 3 6 | 9 12 13 10 [7]11 14 15
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// There's only two misplaced entries ([8] and [7]) that are crossing the
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// reg's boundaries.
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// We use pshufb instead of pshuflo/pshufhi.
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{
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const __m128i kCst_lo = PSHUFB_CST(0, 1, 4, -1, 5, 2, 3, 6);
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const __m128i kCst_7 = PSHUFB_CST(-1, -1, -1, -1, 7, -1, -1, -1);
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const __m128i tmp_lo = _mm_shuffle_epi8(out0, kCst_lo);
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const __m128i tmp_7 = _mm_shuffle_epi8(out0, kCst_7); // extract #7
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const __m128i kCst_hi = PSHUFB_CST(1, 4, 5, 2, -1, 3, 6, 7);
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const __m128i kCst_8 = PSHUFB_CST(-1, -1, -1, 0, -1, -1, -1, -1);
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const __m128i tmp_hi = _mm_shuffle_epi8(out8, kCst_hi);
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const __m128i tmp_8 = _mm_shuffle_epi8(out8, kCst_8); // extract #8
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const __m128i out_z0 = _mm_or_si128(tmp_lo, tmp_8);
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const __m128i out_z8 = _mm_or_si128(tmp_hi, tmp_7);
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_mm_storeu_si128((__m128i*)&out[0], out_z0);
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_mm_storeu_si128((__m128i*)&out[8], out_z8);
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packed_out = _mm_packs_epi16(out_z0, out_z8);
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}
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// detect if all 'out' values are zeroes or not
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return (_mm_movemask_epi8(_mm_cmpeq_epi8(packed_out, zero)) != 0xffff);
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}
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#undef PSHUFB_CST
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static int QuantizeBlock(int16_t in[16], int16_t out[16],
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const VP8Matrix* const mtx) {
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return DoQuantizeBlock(in, out, &mtx->sharpen_[0], mtx);
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}
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static int QuantizeBlockWHT(int16_t in[16], int16_t out[16],
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const VP8Matrix* const mtx) {
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return DoQuantizeBlock(in, out, NULL, mtx);
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}
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static int Quantize2Blocks(int16_t in[32], int16_t out[32],
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const VP8Matrix* const mtx) {
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int nz;
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const uint16_t* const sharpen = &mtx->sharpen_[0];
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nz = DoQuantizeBlock(in + 0 * 16, out + 0 * 16, sharpen, mtx) << 0;
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nz |= DoQuantizeBlock(in + 1 * 16, out + 1 * 16, sharpen, mtx) << 1;
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return nz;
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}
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//------------------------------------------------------------------------------
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// Entry point
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extern void VP8EncDspInitSSE41(void);
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WEBP_TSAN_IGNORE_FUNCTION void VP8EncDspInitSSE41(void) {
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VP8CollectHistogram = CollectHistogram;
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VP8EncQuantizeBlock = QuantizeBlock;
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VP8EncQuantize2Blocks = Quantize2Blocks;
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VP8EncQuantizeBlockWHT = QuantizeBlockWHT;
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VP8TDisto4x4 = Disto4x4;
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VP8TDisto16x16 = Disto16x16;
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}
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#else // !WEBP_USE_SSE41
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WEBP_DSP_INIT_STUB(VP8EncDspInitSSE41)
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#endif // WEBP_USE_SSE41
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