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/*
* Copyright 2016 Google Inc.
*
* Use of this source code is governed by a BSD-style license that can be
* found in the LICENSE file.
*/
#ifndef SkBitmapFilter_opts_DEFINED
#define SkBitmapFilter_opts_DEFINED
#include "SkConvolver.h"
#if SK_CPU_SSE_LEVEL >= SK_CPU_SSE_LEVEL_SSE2
#include <immintrin.h>
#elif defined(SK_ARM_HAS_NEON)
#include <arm_neon.h>
#endif
namespace SK_OPTS_NS {
#if SK_CPU_SSE_LEVEL >= SK_CPU_SSE_LEVEL_AVX2
static SK_ALWAYS_INLINE
void compute_coefficient_row(SkConvolutionFilter1D::ConvolutionFixed filterValue, const unsigned char* sourceDataRows,
__m256i* accum01, __m256i* accum23, __m256i* accum45, __m256i* accum67) {
__m256i coefs = _mm256_set1_epi16(filterValue);
__m256i pixels = _mm256_loadu_si256(reinterpret_cast<const __m256i *>(sourceDataRows));
__m256i zero = _mm256_setzero_si256();
// [16] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
__m256i pixels_0123_16bit = _mm256_unpacklo_epi8(pixels, zero);
__m256i scaled_0123_hi = _mm256_mulhi_epi16(pixels_0123_16bit, coefs),
scaled_0123_lo = _mm256_mullo_epi16(pixels_0123_16bit, coefs);
// [32] c*a1 c*b1 c*g1 c*r1 c*a0 c*b0 c*g0 c*r0
*accum01 = _mm256_add_epi32(*accum01, _mm256_unpacklo_epi16(scaled_0123_lo, scaled_0123_hi));
// [32] c*a3 c*b3 c*g3 c*r3 c*a2 c*b2 c*g2 c*r2
*accum23 = _mm256_add_epi32(*accum23, _mm256_unpackhi_epi16(scaled_0123_lo, scaled_0123_hi));
// [16] a7 b7 g7 r7 a6 b6 g6 r6 a5 b5 g5 r5 a4 b4 g4 r4
__m256i pixels_4567_16bit = _mm256_unpackhi_epi8(pixels, zero);
__m256i scaled_4567_hi = _mm256_mulhi_epi16(pixels_4567_16bit, coefs),
scaled_4567_lo = _mm256_mullo_epi16(pixels_4567_16bit, coefs);
// [32] c*a5 c*b5 c*g5 c*r5 c*a4 c*b4 c*g4 c*r4
*accum45 = _mm256_add_epi32(*accum45, _mm256_unpacklo_epi16(scaled_4567_lo, scaled_4567_hi));
// [32] c*a7 c*b7 c*g7 c*r7 c*a6 c*b6 c*g6 c*r6
*accum67 = _mm256_add_epi32(*accum67, _mm256_unpackhi_epi16(scaled_4567_lo, scaled_4567_hi));
}
template<bool hasAlpha>
void ConvolveVertically(const SkConvolutionFilter1D::ConvolutionFixed* filterValues,
int filterLength,
unsigned char* const * sourceDataRows,
int pixelWidth,
unsigned char* outRow) {
// Output eight pixels per iteration (32 bytes).
for (int outX = 0; outX < pixelWidth; outX += 8) {
// Accumulated result for each pixel. 32 bits per RGBA channel.
__m256i accum01 = _mm256_setzero_si256();
__m256i accum23 = _mm256_setzero_si256();
__m256i accum45 = _mm256_setzero_si256();
__m256i accum67 = _mm256_setzero_si256();
// Convolve with 4 filter coefficient per iteration.
int length = filterLength & ~3;
for (int filterY = 0; filterY < length; filterY += 4) {
compute_coefficient_row(filterValues[filterY + 0], sourceDataRows[filterY + 0] + outX * 4, &accum01, &accum23, &accum45, &accum67);
compute_coefficient_row(filterValues[filterY + 1], sourceDataRows[filterY + 1] + outX * 4, &accum01, &accum23, &accum45, &accum67);
compute_coefficient_row(filterValues[filterY + 2], sourceDataRows[filterY + 2] + outX * 4, &accum01, &accum23, &accum45, &accum67);
compute_coefficient_row(filterValues[filterY + 3], sourceDataRows[filterY + 3] + outX * 4, &accum01, &accum23, &accum45, &accum67);
}
for (int filterY = length; filterY < filterLength; filterY++) {
compute_coefficient_row(filterValues[filterY], sourceDataRows[filterY] + outX * 4, &accum01, &accum23, &accum45, &accum67);
}
// Shift right for fixed point implementation.
accum01 = _mm256_srai_epi32(accum01, SkConvolutionFilter1D::kShiftBits);
accum23 = _mm256_srai_epi32(accum23, SkConvolutionFilter1D::kShiftBits);
accum45 = _mm256_srai_epi32(accum45, SkConvolutionFilter1D::kShiftBits);
accum67 = _mm256_srai_epi32(accum67, SkConvolutionFilter1D::kShiftBits);
// Packing 32 bits |accum| to 16 bits per channel (signed saturation).
// [16] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
__m256i accum_0123 = _mm256_packs_epi32(accum01, accum23);
// Packing 32 bits |accum| to 16 bits per channel (signed saturation).
// [16] a7 b7 g7 r7 a6 b6 g6 r6 a5 b5 g5 r5 a4 b4 g4 r4
__m256i accum_4567 = _mm256_packs_epi32(accum45, accum67);
// Packing 16 bits |accum| to 8 bits per channel (unsigned saturation).
// [8] a7 b7 g7 r7 a6 b6 g6 r6 a5 b5 g5 r5 a4 b4 g4 r4 a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
__m256i accum = _mm256_packus_epi16(accum_0123, accum_4567);
if (hasAlpha) {
// Make sure the value of alpha channel is always larger than maximum
// value of color channels.
// If alpha is less than r, g, or b, set it to their max.
__m256i max_rg = _mm256_max_epu8( accum, _mm256_srli_epi32(accum, 8));
__m256i max_rgb = _mm256_max_epu8(max_rg, _mm256_srli_epi32(accum, 16));
accum = _mm256_max_epu8(accum, _mm256_slli_epi32(max_rgb, 24));
} else {
// Force opaque.
accum = _mm256_or_si256(accum, _mm256_set1_epi32(0xff000000));
}
// Store the convolution result (32 bytes) and advance the pixel pointers.
// During the last iteration, when pixels left are less than 8, store them one at a time.
if (outX + 8 <= pixelWidth) {
_mm256_storeu_si256(reinterpret_cast<__m256i *>(outRow), accum);
outRow += 32;
} else {
for (int i = outX; i < pixelWidth; i++) {
*(reinterpret_cast<int*>(outRow)) = _mm_cvtsi128_si32(_mm256_castsi256_si128(accum));
__m256i rotate = _mm256_setr_epi32(1, 2, 3, 4, 5, 6, 7, 0);
accum = _mm256_permutevar8x32_epi32(accum, rotate);
outRow += 4;
}
}
}
}
#endif
#if SK_CPU_SSE_LEVEL >= SK_CPU_SSE_LEVEL_SSE2
static SK_ALWAYS_INLINE void AccumRemainder(const unsigned char* pixelsLeft,
const SkConvolutionFilter1D::ConvolutionFixed* filterValues, __m128i& accum, int r) {
int remainder[4] = {0};
for (int i = 0; i < r; i++) {
SkConvolutionFilter1D::ConvolutionFixed coeff = filterValues[i];
remainder[0] += coeff * pixelsLeft[i * 4 + 0];
remainder[1] += coeff * pixelsLeft[i * 4 + 1];
remainder[2] += coeff * pixelsLeft[i * 4 + 2];
remainder[3] += coeff * pixelsLeft[i * 4 + 3];
}
__m128i t = _mm_setr_epi32(remainder[0], remainder[1], remainder[2], remainder[3]);
accum = _mm_add_epi32(accum, t);
}
// Convolves horizontally along a single row. The row data is given in
// |srcData| and continues for the numValues() of the filter.
void convolve_horizontally(const unsigned char* srcData,
const SkConvolutionFilter1D& filter,
unsigned char* outRow,
bool /*hasAlpha*/) {
// Output one pixel each iteration, calculating all channels (RGBA) together.
int numValues = filter.numValues();
for (int outX = 0; outX < numValues; outX++) {
// Get the filter that determines the current output pixel.
int filterOffset, filterLength;
const SkConvolutionFilter1D::ConvolutionFixed* filterValues =
filter.FilterForValue(outX, &filterOffset, &filterLength);
// Compute the first pixel in this row that the filter affects. It will
// touch |filterLength| pixels (4 bytes each) after this.
const unsigned char* rowToFilter = &srcData[filterOffset * 4];
__m128i zero = _mm_setzero_si128();
__m128i accum = _mm_setzero_si128();
// We will load and accumulate with four coefficients per iteration.
for (int filterX = 0; filterX < filterLength >> 2; filterX++) {
// Load 4 coefficients => duplicate 1st and 2nd of them for all channels.
__m128i coeff, coeff16;
// [16] xx xx xx xx c3 c2 c1 c0
coeff = _mm_loadl_epi64(reinterpret_cast<const __m128i*>(filterValues));
// [16] xx xx xx xx c1 c1 c0 c0
coeff16 = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(1, 1, 0, 0));
// [16] c1 c1 c1 c1 c0 c0 c0 c0
coeff16 = _mm_unpacklo_epi16(coeff16, coeff16);
// Load four pixels => unpack the first two pixels to 16 bits =>
// multiply with coefficients => accumulate the convolution result.
// [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
__m128i src8 = _mm_loadu_si128(reinterpret_cast<const __m128i*>(rowToFilter));
// [16] a1 b1 g1 r1 a0 b0 g0 r0
__m128i src16 = _mm_unpacklo_epi8(src8, zero);
__m128i mul_hi = _mm_mulhi_epi16(src16, coeff16);
__m128i mul_lo = _mm_mullo_epi16(src16, coeff16);
// [32] a0*c0 b0*c0 g0*c0 r0*c0
__m128i t = _mm_unpacklo_epi16(mul_lo, mul_hi);
accum = _mm_add_epi32(accum, t);
// [32] a1*c1 b1*c1 g1*c1 r1*c1
t = _mm_unpackhi_epi16(mul_lo, mul_hi);
accum = _mm_add_epi32(accum, t);
// Duplicate 3rd and 4th coefficients for all channels =>
// unpack the 3rd and 4th pixels to 16 bits => multiply with coefficients
// => accumulate the convolution results.
// [16] xx xx xx xx c3 c3 c2 c2
coeff16 = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(3, 3, 2, 2));
// [16] c3 c3 c3 c3 c2 c2 c2 c2
coeff16 = _mm_unpacklo_epi16(coeff16, coeff16);
// [16] a3 g3 b3 r3 a2 g2 b2 r2
src16 = _mm_unpackhi_epi8(src8, zero);
mul_hi = _mm_mulhi_epi16(src16, coeff16);
mul_lo = _mm_mullo_epi16(src16, coeff16);
// [32] a2*c2 b2*c2 g2*c2 r2*c2
t = _mm_unpacklo_epi16(mul_lo, mul_hi);
accum = _mm_add_epi32(accum, t);
// [32] a3*c3 b3*c3 g3*c3 r3*c3
t = _mm_unpackhi_epi16(mul_lo, mul_hi);
accum = _mm_add_epi32(accum, t);
// Advance the pixel and coefficients pointers.
rowToFilter += 16;
filterValues += 4;
}
// When |filterLength| is not divisible by 4, we accumulate the last 1 - 3
// coefficients one at a time.
int r = filterLength & 3;
if (r) {
int remainderOffset = (filterOffset + filterLength - r) * 4;
AccumRemainder(srcData + remainderOffset, filterValues, accum, r);
}
// Shift right for fixed point implementation.
accum = _mm_srai_epi32(accum, SkConvolutionFilter1D::kShiftBits);
// Packing 32 bits |accum| to 16 bits per channel (signed saturation).
accum = _mm_packs_epi32(accum, zero);
// Packing 16 bits |accum| to 8 bits per channel (unsigned saturation).
accum = _mm_packus_epi16(accum, zero);
// Store the pixel value of 32 bits.
*(reinterpret_cast<int*>(outRow)) = _mm_cvtsi128_si32(accum);
outRow += 4;
}
}
// Convolves horizontally along four rows. The row data is given in
// |srcData| and continues for the numValues() of the filter.
// The algorithm is almost same as |convolve_horizontally|. Please
// refer to that function for detailed comments.
void convolve_4_rows_horizontally(const unsigned char* srcData[4],
const SkConvolutionFilter1D& filter,
unsigned char* outRow[4],
size_t outRowBytes) {
SkDEBUGCODE(const unsigned char* out_row_0_start = outRow[0];)
// Output one pixel each iteration, calculating all channels (RGBA) together.
int numValues = filter.numValues();
for (int outX = 0; outX < numValues; outX++) {
int filterOffset, filterLength;
const SkConvolutionFilter1D::ConvolutionFixed* filterValues =
filter.FilterForValue(outX, &filterOffset, &filterLength);
__m128i zero = _mm_setzero_si128();
// four pixels in a column per iteration.
__m128i accum0 = _mm_setzero_si128();
__m128i accum1 = _mm_setzero_si128();
__m128i accum2 = _mm_setzero_si128();
__m128i accum3 = _mm_setzero_si128();
int start = filterOffset * 4;
// We will load and accumulate with four coefficients per iteration.
for (int filterX = 0; filterX < (filterLength >> 2); filterX++) {
__m128i coeff, coeff16lo, coeff16hi;
// [16] xx xx xx xx c3 c2 c1 c0
coeff = _mm_loadl_epi64(reinterpret_cast<const __m128i*>(filterValues));
// [16] xx xx xx xx c1 c1 c0 c0
coeff16lo = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(1, 1, 0, 0));
// [16] c1 c1 c1 c1 c0 c0 c0 c0
coeff16lo = _mm_unpacklo_epi16(coeff16lo, coeff16lo);
// [16] xx xx xx xx c3 c3 c2 c2
coeff16hi = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(3, 3, 2, 2));
// [16] c3 c3 c3 c3 c2 c2 c2 c2
coeff16hi = _mm_unpacklo_epi16(coeff16hi, coeff16hi);
__m128i src8, src16, mul_hi, mul_lo, t;
#define ITERATION(src, accum) \
src8 = _mm_loadu_si128(reinterpret_cast<const __m128i*>(src)); \
src16 = _mm_unpacklo_epi8(src8, zero); \
mul_hi = _mm_mulhi_epi16(src16, coeff16lo); \
mul_lo = _mm_mullo_epi16(src16, coeff16lo); \
t = _mm_unpacklo_epi16(mul_lo, mul_hi); \
accum = _mm_add_epi32(accum, t); \
t = _mm_unpackhi_epi16(mul_lo, mul_hi); \
accum = _mm_add_epi32(accum, t); \
src16 = _mm_unpackhi_epi8(src8, zero); \
mul_hi = _mm_mulhi_epi16(src16, coeff16hi); \
mul_lo = _mm_mullo_epi16(src16, coeff16hi); \
t = _mm_unpacklo_epi16(mul_lo, mul_hi); \
accum = _mm_add_epi32(accum, t); \
t = _mm_unpackhi_epi16(mul_lo, mul_hi); \
accum = _mm_add_epi32(accum, t)
ITERATION(srcData[0] + start, accum0);
ITERATION(srcData[1] + start, accum1);
ITERATION(srcData[2] + start, accum2);
ITERATION(srcData[3] + start, accum3);
start += 16;
filterValues += 4;
}
int r = filterLength & 3;
if (r) {
int remainderOffset = (filterOffset + filterLength - r) * 4;
AccumRemainder(srcData[0] + remainderOffset, filterValues, accum0, r);
AccumRemainder(srcData[1] + remainderOffset, filterValues, accum1, r);
AccumRemainder(srcData[2] + remainderOffset, filterValues, accum2, r);
AccumRemainder(srcData[3] + remainderOffset, filterValues, accum3, r);
}
accum0 = _mm_srai_epi32(accum0, SkConvolutionFilter1D::kShiftBits);
accum0 = _mm_packs_epi32(accum0, zero);
accum0 = _mm_packus_epi16(accum0, zero);
accum1 = _mm_srai_epi32(accum1, SkConvolutionFilter1D::kShiftBits);
accum1 = _mm_packs_epi32(accum1, zero);
accum1 = _mm_packus_epi16(accum1, zero);
accum2 = _mm_srai_epi32(accum2, SkConvolutionFilter1D::kShiftBits);
accum2 = _mm_packs_epi32(accum2, zero);
accum2 = _mm_packus_epi16(accum2, zero);
accum3 = _mm_srai_epi32(accum3, SkConvolutionFilter1D::kShiftBits);
accum3 = _mm_packs_epi32(accum3, zero);
accum3 = _mm_packus_epi16(accum3, zero);
// We seem to be running off the edge here (chromium:491660).
SkASSERT(((size_t)outRow[0] - (size_t)out_row_0_start) < outRowBytes);
*(reinterpret_cast<int*>(outRow[0])) = _mm_cvtsi128_si32(accum0);
*(reinterpret_cast<int*>(outRow[1])) = _mm_cvtsi128_si32(accum1);
*(reinterpret_cast<int*>(outRow[2])) = _mm_cvtsi128_si32(accum2);
*(reinterpret_cast<int*>(outRow[3])) = _mm_cvtsi128_si32(accum3);
outRow[0] += 4;
outRow[1] += 4;
outRow[2] += 4;
outRow[3] += 4;
}
}
// If we've got AVX2, we've already defined a faster ConvolveVertically above.
#if SK_CPU_SSE_LEVEL < SK_CPU_SSE_LEVEL_AVX2
// Does vertical convolution to produce one output row. The filter values and
// length are given in the first two parameters. These are applied to each
// of the rows pointed to in the |sourceDataRows| array, with each row
// being |pixelWidth| wide.
//
// The output must have room for |pixelWidth * 4| bytes.
template<bool hasAlpha>
void ConvolveVertically(const SkConvolutionFilter1D::ConvolutionFixed* filterValues,
int filterLength,
unsigned char* const* sourceDataRows,
int pixelWidth,
unsigned char* outRow) {
// Output four pixels per iteration (16 bytes).
int width = pixelWidth & ~3;
__m128i zero = _mm_setzero_si128();
for (int outX = 0; outX < width; outX += 4) {
// Accumulated result for each pixel. 32 bits per RGBA channel.
__m128i accum0 = _mm_setzero_si128();
__m128i accum1 = _mm_setzero_si128();
__m128i accum2 = _mm_setzero_si128();
__m128i accum3 = _mm_setzero_si128();
// Convolve with one filter coefficient per iteration.
for (int filterY = 0; filterY < filterLength; filterY++) {
// Duplicate the filter coefficient 8 times.
// [16] cj cj cj cj cj cj cj cj
__m128i coeff16 = _mm_set1_epi16(filterValues[filterY]);
// Load four pixels (16 bytes) together.
// [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
const __m128i* src = reinterpret_cast<const __m128i*>(
&sourceDataRows[filterY][outX << 2]);
__m128i src8 = _mm_loadu_si128(src);
// Unpack 1st and 2nd pixels from 8 bits to 16 bits for each channels =>
// multiply with current coefficient => accumulate the result.
// [16] a1 b1 g1 r1 a0 b0 g0 r0
__m128i src16 = _mm_unpacklo_epi8(src8, zero);
__m128i mul_hi = _mm_mulhi_epi16(src16, coeff16);
__m128i mul_lo = _mm_mullo_epi16(src16, coeff16);
// [32] a0 b0 g0 r0
__m128i t = _mm_unpacklo_epi16(mul_lo, mul_hi);
accum0 = _mm_add_epi32(accum0, t);
// [32] a1 b1 g1 r1
t = _mm_unpackhi_epi16(mul_lo, mul_hi);
accum1 = _mm_add_epi32(accum1, t);
// Unpack 3rd and 4th pixels from 8 bits to 16 bits for each channels =>
// multiply with current coefficient => accumulate the result.
// [16] a3 b3 g3 r3 a2 b2 g2 r2
src16 = _mm_unpackhi_epi8(src8, zero);
mul_hi = _mm_mulhi_epi16(src16, coeff16);
mul_lo = _mm_mullo_epi16(src16, coeff16);
// [32] a2 b2 g2 r2
t = _mm_unpacklo_epi16(mul_lo, mul_hi);
accum2 = _mm_add_epi32(accum2, t);
// [32] a3 b3 g3 r3
t = _mm_unpackhi_epi16(mul_lo, mul_hi);
accum3 = _mm_add_epi32(accum3, t);
}
// Shift right for fixed point implementation.
accum0 = _mm_srai_epi32(accum0, SkConvolutionFilter1D::kShiftBits);
accum1 = _mm_srai_epi32(accum1, SkConvolutionFilter1D::kShiftBits);
accum2 = _mm_srai_epi32(accum2, SkConvolutionFilter1D::kShiftBits);
accum3 = _mm_srai_epi32(accum3, SkConvolutionFilter1D::kShiftBits);
// Packing 32 bits |accum| to 16 bits per channel (signed saturation).
// [16] a1 b1 g1 r1 a0 b0 g0 r0
accum0 = _mm_packs_epi32(accum0, accum1);
// [16] a3 b3 g3 r3 a2 b2 g2 r2
accum2 = _mm_packs_epi32(accum2, accum3);
// Packing 16 bits |accum| to 8 bits per channel (unsigned saturation).
// [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
accum0 = _mm_packus_epi16(accum0, accum2);
if (hasAlpha) {
// Compute the max(ri, gi, bi) for each pixel.
// [8] xx a3 b3 g3 xx a2 b2 g2 xx a1 b1 g1 xx a0 b0 g0
__m128i a = _mm_srli_epi32(accum0, 8);
// [8] xx xx xx max3 xx xx xx max2 xx xx xx max1 xx xx xx max0
__m128i b = _mm_max_epu8(a, accum0); // Max of r and g.
// [8] xx xx a3 b3 xx xx a2 b2 xx xx a1 b1 xx xx a0 b0
a = _mm_srli_epi32(accum0, 16);
// [8] xx xx xx max3 xx xx xx max2 xx xx xx max1 xx xx xx max0
b = _mm_max_epu8(a, b); // Max of r and g and b.
// [8] max3 00 00 00 max2 00 00 00 max1 00 00 00 max0 00 00 00
b = _mm_slli_epi32(b, 24);
// Make sure the value of alpha channel is always larger than maximum
// value of color channels.
accum0 = _mm_max_epu8(b, accum0);
} else {
// Set value of alpha channels to 0xFF.
__m128i mask = _mm_set1_epi32(0xff000000);
accum0 = _mm_or_si128(accum0, mask);
}
// Store the convolution result (16 bytes) and advance the pixel pointers.
_mm_storeu_si128(reinterpret_cast<__m128i*>(outRow), accum0);
outRow += 16;
}
// When the width of the output is not divisible by 4, We need to save one
// pixel (4 bytes) each time. And also the fourth pixel is always absent.
int r = pixelWidth & 3;
if (r) {
__m128i accum0 = _mm_setzero_si128();
__m128i accum1 = _mm_setzero_si128();
__m128i accum2 = _mm_setzero_si128();
for (int filterY = 0; filterY < filterLength; ++filterY) {
__m128i coeff16 = _mm_set1_epi16(filterValues[filterY]);
// [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
const __m128i* src = reinterpret_cast<const __m128i*>(
&sourceDataRows[filterY][width << 2]);
__m128i src8 = _mm_loadu_si128(src);
// [16] a1 b1 g1 r1 a0 b0 g0 r0
__m128i src16 = _mm_unpacklo_epi8(src8, zero);
__m128i mul_hi = _mm_mulhi_epi16(src16, coeff16);
__m128i mul_lo = _mm_mullo_epi16(src16, coeff16);
// [32] a0 b0 g0 r0
__m128i t = _mm_unpacklo_epi16(mul_lo, mul_hi);
accum0 = _mm_add_epi32(accum0, t);
// [32] a1 b1 g1 r1
t = _mm_unpackhi_epi16(mul_lo, mul_hi);
accum1 = _mm_add_epi32(accum1, t);
// [16] a3 b3 g3 r3 a2 b2 g2 r2
src16 = _mm_unpackhi_epi8(src8, zero);
mul_hi = _mm_mulhi_epi16(src16, coeff16);
mul_lo = _mm_mullo_epi16(src16, coeff16);
// [32] a2 b2 g2 r2
t = _mm_unpacklo_epi16(mul_lo, mul_hi);
accum2 = _mm_add_epi32(accum2, t);
}
accum0 = _mm_srai_epi32(accum0, SkConvolutionFilter1D::kShiftBits);
accum1 = _mm_srai_epi32(accum1, SkConvolutionFilter1D::kShiftBits);
accum2 = _mm_srai_epi32(accum2, SkConvolutionFilter1D::kShiftBits);
// [16] a1 b1 g1 r1 a0 b0 g0 r0
accum0 = _mm_packs_epi32(accum0, accum1);
// [16] a3 b3 g3 r3 a2 b2 g2 r2
accum2 = _mm_packs_epi32(accum2, zero);
// [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
accum0 = _mm_packus_epi16(accum0, accum2);
if (hasAlpha) {
// [8] xx a3 b3 g3 xx a2 b2 g2 xx a1 b1 g1 xx a0 b0 g0
__m128i a = _mm_srli_epi32(accum0, 8);
// [8] xx xx xx max3 xx xx xx max2 xx xx xx max1 xx xx xx max0
__m128i b = _mm_max_epu8(a, accum0); // Max of r and g.
// [8] xx xx a3 b3 xx xx a2 b2 xx xx a1 b1 xx xx a0 b0
a = _mm_srli_epi32(accum0, 16);
// [8] xx xx xx max3 xx xx xx max2 xx xx xx max1 xx xx xx max0
b = _mm_max_epu8(a, b); // Max of r and g and b.
// [8] max3 00 00 00 max2 00 00 00 max1 00 00 00 max0 00 00 00
b = _mm_slli_epi32(b, 24);
accum0 = _mm_max_epu8(b, accum0);
} else {
__m128i mask = _mm_set1_epi32(0xff000000);
accum0 = _mm_or_si128(accum0, mask);
}
for (int i = 0; i < r; i++) {
*(reinterpret_cast<int*>(outRow)) = _mm_cvtsi128_si32(accum0);
accum0 = _mm_srli_si128(accum0, 4);
outRow += 4;
}
}
}
#endif//SK_CPU_SSE_LEVEL < SK_CPU_SSE_LEVEL_AVX2
#elif defined(SK_ARM_HAS_NEON)
static SK_ALWAYS_INLINE void AccumRemainder(const unsigned char* pixelsLeft,
const SkConvolutionFilter1D::ConvolutionFixed* filterValues, int32x4_t& accum, int r) {
int remainder[4] = {0};
for (int i = 0; i < r; i++) {
SkConvolutionFilter1D::ConvolutionFixed coeff = filterValues[i];
remainder[0] += coeff * pixelsLeft[i * 4 + 0];
remainder[1] += coeff * pixelsLeft[i * 4 + 1];
remainder[2] += coeff * pixelsLeft[i * 4 + 2];
remainder[3] += coeff * pixelsLeft[i * 4 + 3];
}
int32x4_t t = {remainder[0], remainder[1], remainder[2], remainder[3]};
accum += t;
}
// Convolves horizontally along a single row. The row data is given in
// |srcData| and continues for the numValues() of the filter.
void convolve_horizontally(const unsigned char* srcData,
const SkConvolutionFilter1D& filter,
unsigned char* outRow,
bool /*hasAlpha*/) {
// Loop over each pixel on this row in the output image.
int numValues = filter.numValues();
for (int outX = 0; outX < numValues; outX++) {
uint8x8_t coeff_mask0 = vcreate_u8(0x0100010001000100);
uint8x8_t coeff_mask1 = vcreate_u8(0x0302030203020302);
uint8x8_t coeff_mask2 = vcreate_u8(0x0504050405040504);
uint8x8_t coeff_mask3 = vcreate_u8(0x0706070607060706);
// Get the filter that determines the current output pixel.
int filterOffset, filterLength;
const SkConvolutionFilter1D::ConvolutionFixed* filterValues =
filter.FilterForValue(outX, &filterOffset, &filterLength);
// Compute the first pixel in this row that the filter affects. It will
// touch |filterLength| pixels (4 bytes each) after this.
const unsigned char* rowToFilter = &srcData[filterOffset * 4];
// Apply the filter to the row to get the destination pixel in |accum|.
int32x4_t accum = vdupq_n_s32(0);
for (int filterX = 0; filterX < filterLength >> 2; filterX++) {
// Load 4 coefficients
int16x4_t coeffs, coeff0, coeff1, coeff2, coeff3;
coeffs = vld1_s16(filterValues);
coeff0 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), coeff_mask0));
coeff1 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), coeff_mask1));
coeff2 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), coeff_mask2));
coeff3 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), coeff_mask3));
// Load pixels and calc
uint8x16_t pixels = vld1q_u8(rowToFilter);
int16x8_t p01_16 = vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(pixels)));
int16x8_t p23_16 = vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(pixels)));
int16x4_t p0_src = vget_low_s16(p01_16);
int16x4_t p1_src = vget_high_s16(p01_16);
int16x4_t p2_src = vget_low_s16(p23_16);
int16x4_t p3_src = vget_high_s16(p23_16);
int32x4_t p0 = vmull_s16(p0_src, coeff0);
int32x4_t p1 = vmull_s16(p1_src, coeff1);
int32x4_t p2 = vmull_s16(p2_src, coeff2);
int32x4_t p3 = vmull_s16(p3_src, coeff3);
accum += p0;
accum += p1;
accum += p2;
accum += p3;
// Advance the pointers
rowToFilter += 16;
filterValues += 4;
}
int r = filterLength & 3;
if (r) {
int remainder_offset = (filterOffset + filterLength - r) * 4;
AccumRemainder(srcData + remainder_offset, filterValues, accum, r);
}
// Bring this value back in range. All of the filter scaling factors
// are in fixed point with kShiftBits bits of fractional part.
accum = vshrq_n_s32(accum, SkConvolutionFilter1D::kShiftBits);
// Pack and store the new pixel.
int16x4_t accum16 = vqmovn_s32(accum);
uint8x8_t accum8 = vqmovun_s16(vcombine_s16(accum16, accum16));
vst1_lane_u32(reinterpret_cast<uint32_t*>(outRow), vreinterpret_u32_u8(accum8), 0);
outRow += 4;
}
}
// Convolves horizontally along four rows. The row data is given in
// |srcData| and continues for the numValues() of the filter.
// The algorithm is almost same as |convolve_horizontally|. Please
// refer to that function for detailed comments.
void convolve_4_rows_horizontally(const unsigned char* srcData[4],
const SkConvolutionFilter1D& filter,
unsigned char* outRow[4],
size_t outRowBytes) {
// Output one pixel each iteration, calculating all channels (RGBA) together.
int numValues = filter.numValues();
for (int outX = 0; outX < numValues; outX++) {
int filterOffset, filterLength;
const SkConvolutionFilter1D::ConvolutionFixed* filterValues =
filter.FilterForValue(outX, &filterOffset, &filterLength);
// four pixels in a column per iteration.
int32x4_t accum0 = vdupq_n_s32(0);
int32x4_t accum1 = vdupq_n_s32(0);
int32x4_t accum2 = vdupq_n_s32(0);
int32x4_t accum3 = vdupq_n_s32(0);
uint8x8_t coeff_mask0 = vcreate_u8(0x0100010001000100);
uint8x8_t coeff_mask1 = vcreate_u8(0x0302030203020302);
uint8x8_t coeff_mask2 = vcreate_u8(0x0504050405040504);
uint8x8_t coeff_mask3 = vcreate_u8(0x0706070607060706);
int start = filterOffset * 4;
// We will load and accumulate with four coefficients per iteration.
for (int filterX = 0; filterX < (filterLength >> 2); filterX++) {
int16x4_t coeffs, coeff0, coeff1, coeff2, coeff3;
coeffs = vld1_s16(filterValues);
coeff0 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), coeff_mask0));
coeff1 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), coeff_mask1));
coeff2 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), coeff_mask2));
coeff3 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), coeff_mask3));
uint8x16_t pixels;
int16x8_t p01_16, p23_16;
int32x4_t p0, p1, p2, p3;
#define ITERATION(src, accum) \
pixels = vld1q_u8(src); \
p01_16 = vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(pixels))); \
p23_16 = vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(pixels))); \
p0 = vmull_s16(vget_low_s16(p01_16), coeff0); \
p1 = vmull_s16(vget_high_s16(p01_16), coeff1); \
p2 = vmull_s16(vget_low_s16(p23_16), coeff2); \
p3 = vmull_s16(vget_high_s16(p23_16), coeff3); \
accum += p0; \
accum += p1; \
accum += p2; \
accum += p3
ITERATION(srcData[0] + start, accum0);
ITERATION(srcData[1] + start, accum1);
ITERATION(srcData[2] + start, accum2);
ITERATION(srcData[3] + start, accum3);
start += 16;
filterValues += 4;
}
int r = filterLength & 3;
if (r) {
int remainder_offset = (filterOffset + filterLength - r) * 4;
AccumRemainder(srcData[0] + remainder_offset, filterValues, accum0, r);
AccumRemainder(srcData[1] + remainder_offset, filterValues, accum1, r);
AccumRemainder(srcData[2] + remainder_offset, filterValues, accum2, r);
AccumRemainder(srcData[3] + remainder_offset, filterValues, accum3, r);
}
int16x4_t accum16;
uint8x8_t res0, res1, res2, res3;
#define PACK_RESULT(accum, res) \
accum = vshrq_n_s32(accum, SkConvolutionFilter1D::kShiftBits); \
accum16 = vqmovn_s32(accum); \
res = vqmovun_s16(vcombine_s16(accum16, accum16));
PACK_RESULT(accum0, res0);
PACK_RESULT(accum1, res1);
PACK_RESULT(accum2, res2);
PACK_RESULT(accum3, res3);
vst1_lane_u32(reinterpret_cast<uint32_t*>(outRow[0]), vreinterpret_u32_u8(res0), 0);
vst1_lane_u32(reinterpret_cast<uint32_t*>(outRow[1]), vreinterpret_u32_u8(res1), 0);
vst1_lane_u32(reinterpret_cast<uint32_t*>(outRow[2]), vreinterpret_u32_u8(res2), 0);
vst1_lane_u32(reinterpret_cast<uint32_t*>(outRow[3]), vreinterpret_u32_u8(res3), 0);
outRow[0] += 4;
outRow[1] += 4;
outRow[2] += 4;
outRow[3] += 4;
}
}
// Does vertical convolution to produce one output row. The filter values and
// length are given in the first two parameters. These are applied to each
// of the rows pointed to in the |sourceDataRows| array, with each row
// being |pixelWidth| wide.
//
// The output must have room for |pixelWidth * 4| bytes.
template<bool hasAlpha>
void ConvolveVertically(const SkConvolutionFilter1D::ConvolutionFixed* filterValues,
int filterLength,
unsigned char* const* sourceDataRows,
int pixelWidth,
unsigned char* outRow) {
int width = pixelWidth & ~3;
// Output four pixels per iteration (16 bytes).
for (int outX = 0; outX < width; outX += 4) {
// Accumulated result for each pixel. 32 bits per RGBA channel.
int32x4_t accum0 = vdupq_n_s32(0);
int32x4_t accum1 = vdupq_n_s32(0);
int32x4_t accum2 = vdupq_n_s32(0);
int32x4_t accum3 = vdupq_n_s32(0);
// Convolve with one filter coefficient per iteration.
for (int filterY = 0; filterY < filterLength; filterY++) {
// Duplicate the filter coefficient 4 times.
// [16] cj cj cj cj
int16x4_t coeff16 = vdup_n_s16(filterValues[filterY]);
// Load four pixels (16 bytes) together.
// [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
uint8x16_t src8 = vld1q_u8(&sourceDataRows[filterY][outX << 2]);
int16x8_t src16_01 = vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(src8)));
int16x8_t src16_23 = vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(src8)));
int16x4_t src16_0 = vget_low_s16(src16_01);
int16x4_t src16_1 = vget_high_s16(src16_01);
int16x4_t src16_2 = vget_low_s16(src16_23);
int16x4_t src16_3 = vget_high_s16(src16_23);
accum0 += vmull_s16(src16_0, coeff16);
accum1 += vmull_s16(src16_1, coeff16);
accum2 += vmull_s16(src16_2, coeff16);
accum3 += vmull_s16(src16_3, coeff16);
}
// Shift right for fixed point implementation.
accum0 = vshrq_n_s32(accum0, SkConvolutionFilter1D::kShiftBits);
accum1 = vshrq_n_s32(accum1, SkConvolutionFilter1D::kShiftBits);
accum2 = vshrq_n_s32(accum2, SkConvolutionFilter1D::kShiftBits);
accum3 = vshrq_n_s32(accum3, SkConvolutionFilter1D::kShiftBits);
// Packing 32 bits |accum| to 16 bits per channel (signed saturation).
// [16] a1 b1 g1 r1 a0 b0 g0 r0
int16x8_t accum16_0 = vcombine_s16(vqmovn_s32(accum0), vqmovn_s32(accum1));
// [16] a3 b3 g3 r3 a2 b2 g2 r2
int16x8_t accum16_1 = vcombine_s16(vqmovn_s32(accum2), vqmovn_s32(accum3));
// Packing 16 bits |accum| to 8 bits per channel (unsigned saturation).
// [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
uint8x16_t accum8 = vcombine_u8(vqmovun_s16(accum16_0), vqmovun_s16(accum16_1));
if (hasAlpha) {
// Compute the max(ri, gi, bi) for each pixel.
// [8] xx a3 b3 g3 xx a2 b2 g2 xx a1 b1 g1 xx a0 b0 g0
uint8x16_t a = vreinterpretq_u8_u32(vshrq_n_u32(vreinterpretq_u32_u8(accum8), 8));
// [8] xx xx xx max3 xx xx xx max2 xx xx xx max1 xx xx xx max0
uint8x16_t b = vmaxq_u8(a, accum8); // Max of r and g
// [8] xx xx a3 b3 xx xx a2 b2 xx xx a1 b1 xx xx a0 b0
a = vreinterpretq_u8_u32(vshrq_n_u32(vreinterpretq_u32_u8(accum8), 16));
// [8] xx xx xx max3 xx xx xx max2 xx xx xx max1 xx xx xx max0
b = vmaxq_u8(a, b); // Max of r and g and b.
// [8] max3 00 00 00 max2 00 00 00 max1 00 00 00 max0 00 00 00
b = vreinterpretq_u8_u32(vshlq_n_u32(vreinterpretq_u32_u8(b), 24));
// Make sure the value of alpha channel is always larger than maximum
// value of color channels.
accum8 = vmaxq_u8(b, accum8);
} else {
// Set value of alpha channels to 0xFF.
accum8 = vreinterpretq_u8_u32(vreinterpretq_u32_u8(accum8) | vdupq_n_u32(0xFF000000));
}
// Store the convolution result (16 bytes) and advance the pixel pointers.
vst1q_u8(outRow, accum8);
outRow += 16;
}
// Process the leftovers when the width of the output is not divisible
// by 4, that is at most 3 pixels.
int r = pixelWidth & 3;
if (r) {
int32x4_t accum0 = vdupq_n_s32(0);
int32x4_t accum1 = vdupq_n_s32(0);
int32x4_t accum2 = vdupq_n_s32(0);
for (int filterY = 0; filterY < filterLength; ++filterY) {
int16x4_t coeff16 = vdup_n_s16(filterValues[filterY]);
// [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
uint8x16_t src8 = vld1q_u8(&sourceDataRows[filterY][width << 2]);
int16x8_t src16_01 = vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(src8)));
int16x8_t src16_23 = vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(src8)));
int16x4_t src16_0 = vget_low_s16(src16_01);
int16x4_t src16_1 = vget_high_s16(src16_01);
int16x4_t src16_2 = vget_low_s16(src16_23);
accum0 += vmull_s16(src16_0, coeff16);
accum1 += vmull_s16(src16_1, coeff16);
accum2 += vmull_s16(src16_2, coeff16);
}
accum0 = vshrq_n_s32(accum0, SkConvolutionFilter1D::kShiftBits);
accum1 = vshrq_n_s32(accum1, SkConvolutionFilter1D::kShiftBits);
accum2 = vshrq_n_s32(accum2, SkConvolutionFilter1D::kShiftBits);
int16x8_t accum16_0 = vcombine_s16(vqmovn_s32(accum0), vqmovn_s32(accum1));
int16x8_t accum16_1 = vcombine_s16(vqmovn_s32(accum2), vqmovn_s32(accum2));
uint8x16_t accum8 = vcombine_u8(vqmovun_s16(accum16_0), vqmovun_s16(accum16_1));
if (hasAlpha) {
// Compute the max(ri, gi, bi) for each pixel.
// [8] xx a3 b3 g3 xx a2 b2 g2 xx a1 b1 g1 xx a0 b0 g0
uint8x16_t a = vreinterpretq_u8_u32(vshrq_n_u32(vreinterpretq_u32_u8(accum8), 8));
// [8] xx xx xx max3 xx xx xx max2 xx xx xx max1 xx xx xx max0
uint8x16_t b = vmaxq_u8(a, accum8); // Max of r and g
// [8] xx xx a3 b3 xx xx a2 b2 xx xx a1 b1 xx xx a0 b0
a = vreinterpretq_u8_u32(vshrq_n_u32(vreinterpretq_u32_u8(accum8), 16));
// [8] xx xx xx max3 xx xx xx max2 xx xx xx max1 xx xx xx max0
b = vmaxq_u8(a, b); // Max of r and g and b.
// [8] max3 00 00 00 max2 00 00 00 max1 00 00 00 max0 00 00 00
b = vreinterpretq_u8_u32(vshlq_n_u32(vreinterpretq_u32_u8(b), 24));
// Make sure the value of alpha channel is always larger than maximum
// value of color channels.
accum8 = vmaxq_u8(b, accum8);
} else {
// Set value of alpha channels to 0xFF.
accum8 = vreinterpretq_u8_u32(vreinterpretq_u32_u8(accum8) | vdupq_n_u32(0xFF000000));
}
switch(r) {
case 1:
vst1q_lane_u32(reinterpret_cast<uint32_t*>(outRow), vreinterpretq_u32_u8(accum8), 0);
break;
case 2:
vst1_u32(reinterpret_cast<uint32_t*>(outRow),
vreinterpret_u32_u8(vget_low_u8(accum8)));
break;
case 3:
vst1_u32(reinterpret_cast<uint32_t*>(outRow),
vreinterpret_u32_u8(vget_low_u8(accum8)));
vst1q_lane_u32(reinterpret_cast<uint32_t*>(outRow+8), vreinterpretq_u32_u8(accum8), 2);
break;
}
}
}
#else
// Converts the argument to an 8-bit unsigned value by clamping to the range
// 0-255.
inline unsigned char ClampTo8(int a) {
if (static_cast<unsigned>(a) < 256) {
return a; // Avoid the extra check in the common case.
}
if (a < 0) {
return 0;
}
return 255;
}
// Convolves horizontally along a single row. The row data is given in
// |srcData| and continues for the numValues() of the filter.
template<bool hasAlpha>
void ConvolveHorizontally(const unsigned char* srcData,
const SkConvolutionFilter1D& filter,
unsigned char* outRow) {
// Loop over each pixel on this row in the output image.
int numValues = filter.numValues();
for (int outX = 0; outX < numValues; outX++) {
// Get the filter that determines the current output pixel.
int filterOffset, filterLength;
const SkConvolutionFilter1D::ConvolutionFixed* filterValues =
filter.FilterForValue(outX, &filterOffset, &filterLength);
// Compute the first pixel in this row that the filter affects. It will
// touch |filterLength| pixels (4 bytes each) after this.
const unsigned char* rowToFilter = &srcData[filterOffset * 4];
// Apply the filter to the row to get the destination pixel in |accum|.
int accum[4] = {0};
for (int filterX = 0; filterX < filterLength; filterX++) {
SkConvolutionFilter1D::ConvolutionFixed curFilter = filterValues[filterX];
accum[0] += curFilter * rowToFilter[filterX * 4 + 0];
accum[1] += curFilter * rowToFilter[filterX * 4 + 1];
accum[2] += curFilter * rowToFilter[filterX * 4 + 2];
if (hasAlpha) {
accum[3] += curFilter * rowToFilter[filterX * 4 + 3];
}
}
// Bring this value back in range. All of the filter scaling factors
// are in fixed point with kShiftBits bits of fractional part.
accum[0] >>= SkConvolutionFilter1D::kShiftBits;
accum[1] >>= SkConvolutionFilter1D::kShiftBits;
accum[2] >>= SkConvolutionFilter1D::kShiftBits;
if (hasAlpha) {
accum[3] >>= SkConvolutionFilter1D::kShiftBits;
}
// Store the new pixel.
outRow[outX * 4 + 0] = ClampTo8(accum[0]);
outRow[outX * 4 + 1] = ClampTo8(accum[1]);
outRow[outX * 4 + 2] = ClampTo8(accum[2]);
if (hasAlpha) {
outRow[outX * 4 + 3] = ClampTo8(accum[3]);
}
}
}
// Does vertical convolution to produce one output row. The filter values and
// length are given in the first two parameters. These are applied to each
// of the rows pointed to in the |sourceDataRows| array, with each row
// being |pixelWidth| wide.
//
// The output must have room for |pixelWidth * 4| bytes.
template<bool hasAlpha>
void ConvolveVertically(const SkConvolutionFilter1D::ConvolutionFixed* filterValues,
int filterLength,
unsigned char* const* sourceDataRows,
int pixelWidth,
unsigned char* outRow) {
// We go through each column in the output and do a vertical convolution,
// generating one output pixel each time.
for (int outX = 0; outX < pixelWidth; outX++) {
// Compute the number of bytes over in each row that the current column
// we're convolving starts at. The pixel will cover the next 4 bytes.
int byteOffset = outX * 4;
// Apply the filter to one column of pixels.
int accum[4] = {0};
for (int filterY = 0; filterY < filterLength; filterY++) {
SkConvolutionFilter1D::ConvolutionFixed curFilter = filterValues[filterY];
accum[0] += curFilter * sourceDataRows[filterY][byteOffset + 0];
accum[1] += curFilter * sourceDataRows[filterY][byteOffset + 1];
accum[2] += curFilter * sourceDataRows[filterY][byteOffset + 2];
if (hasAlpha) {
accum[3] += curFilter * sourceDataRows[filterY][byteOffset + 3];
}
}
// Bring this value back in range. All of the filter scaling factors
// are in fixed point with kShiftBits bits of precision.
accum[0] >>= SkConvolutionFilter1D::kShiftBits;
accum[1] >>= SkConvolutionFilter1D::kShiftBits;
accum[2] >>= SkConvolutionFilter1D::kShiftBits;
if (hasAlpha) {
accum[3] >>= SkConvolutionFilter1D::kShiftBits;
}
// Store the new pixel.
outRow[byteOffset + 0] = ClampTo8(accum[0]);
outRow[byteOffset + 1] = ClampTo8(accum[1]);
outRow[byteOffset + 2] = ClampTo8(accum[2]);
if (hasAlpha) {
unsigned char alpha = ClampTo8(accum[3]);
// Make sure the alpha channel doesn't come out smaller than any of the
// color channels. We use premultipled alpha channels, so this should
// never happen, but rounding errors will cause this from time to time.
// These "impossible" colors will cause overflows (and hence random pixel
// values) when the resulting bitmap is drawn to the screen.
//
// We only need to do this when generating the final output row (here).
int maxColorChannel = SkTMax(outRow[byteOffset + 0],
SkTMax(outRow[byteOffset + 1],
outRow[byteOffset + 2]));
if (alpha < maxColorChannel) {
outRow[byteOffset + 3] = maxColorChannel;
} else {
outRow[byteOffset + 3] = alpha;
}
} else {
// No alpha channel, the image is opaque.
outRow[byteOffset + 3] = 0xff;
}
}
}
// There's a bug somewhere here with GCC autovectorization (-ftree-vectorize). We originally
// thought this was 32 bit only, but subsequent tests show that some 64 bit gcc compiles
// suffer here too.
//
// Dropping to -O2 disables -ftree-vectorize. GCC 4.6 needs noinline. https://bug.skia.org/2575
#if SK_HAS_ATTRIBUTE(optimize) && defined(SK_RELEASE)
#define SK_MAYBE_DISABLE_VECTORIZATION __attribute__((optimize("O2"), noinline))
#else
#define SK_MAYBE_DISABLE_VECTORIZATION
#endif
SK_MAYBE_DISABLE_VECTORIZATION
void convolve_horizontally(const unsigned char* srcData,
const SkConvolutionFilter1D& filter,
unsigned char* outRow,
bool hasAlpha) {
if (hasAlpha) {
ConvolveHorizontally<true>(srcData, filter, outRow);
} else {
ConvolveHorizontally<false>(srcData, filter, outRow);
}
}
#undef SK_MAYBE_DISABLE_VECTORIZATION
void (*convolve_4_rows_horizontally)(const unsigned char* srcData[4],
const SkConvolutionFilter1D& filter,
unsigned char* outRow[4],
size_t outRowBytes)
= nullptr;
#endif
void convolve_vertically(const SkConvolutionFilter1D::ConvolutionFixed* filterValues,
int filterLength,
unsigned char* const* sourceDataRows,
int pixelWidth,
unsigned char* outRow,
bool hasAlpha) {
if (hasAlpha) {
ConvolveVertically<true>(filterValues, filterLength, sourceDataRows,
pixelWidth, outRow);
} else {
ConvolveVertically<false>(filterValues, filterLength, sourceDataRows,
pixelWidth, outRow);
}
}
} // namespace SK_OPTS_NS
#endif//SkBitmapFilter_opts_DEFINED