gecko-dev/gfx/2d/FilterProcessingSIMD-inl.h

1300 строки
56 KiB
C++

/* -*- Mode: C++; tab-width: 8; indent-tabs-mode: nil; c-basic-offset: 2 -*- */
/* vim: set ts=8 sts=2 et sw=2 tw=80: */
/* This Source Code Form is subject to the terms of the Mozilla Public
* License, v. 2.0. If a copy of the MPL was not distributed with this
* file, You can obtain one at http://mozilla.org/MPL/2.0/. */
#include "FilterProcessing.h"
#include "SIMD.h"
#include "SVGTurbulenceRenderer-inl.h"
namespace mozilla {
namespace gfx {
template <typename u8x16_t>
inline already_AddRefed<DataSourceSurface> ConvertToB8G8R8A8_SIMD(
SourceSurface* aSurface) {
IntSize size = aSurface->GetSize();
RefPtr<DataSourceSurface> output =
Factory::CreateDataSourceSurface(size, SurfaceFormat::B8G8R8A8);
if (!output) {
return nullptr;
}
RefPtr<DataSourceSurface> input = aSurface->GetDataSurface();
DataSourceSurface::ScopedMap inputMap(input, DataSourceSurface::READ);
DataSourceSurface::ScopedMap outputMap(output, DataSourceSurface::READ_WRITE);
uint8_t* inputData = inputMap.GetData();
uint8_t* outputData = outputMap.GetData();
int32_t inputStride = inputMap.GetStride();
int32_t outputStride = outputMap.GetStride();
switch (input->GetFormat()) {
case SurfaceFormat::B8G8R8A8:
output = input;
break;
case SurfaceFormat::B8G8R8X8:
for (int32_t y = 0; y < size.height; y++) {
for (int32_t x = 0; x < size.width; x++) {
int32_t inputIndex = y * inputStride + 4 * x;
int32_t outputIndex = y * outputStride + 4 * x;
outputData[outputIndex + 0] = inputData[inputIndex + 0];
outputData[outputIndex + 1] = inputData[inputIndex + 1];
outputData[outputIndex + 2] = inputData[inputIndex + 2];
outputData[outputIndex + 3] = 255;
}
}
break;
case SurfaceFormat::R8G8B8A8:
for (int32_t y = 0; y < size.height; y++) {
for (int32_t x = 0; x < size.width; x++) {
int32_t inputIndex = y * inputStride + 4 * x;
int32_t outputIndex = y * outputStride + 4 * x;
outputData[outputIndex + 2] = inputData[inputIndex + 0];
outputData[outputIndex + 1] = inputData[inputIndex + 1];
outputData[outputIndex + 0] = inputData[inputIndex + 2];
outputData[outputIndex + 3] = inputData[inputIndex + 3];
}
}
break;
case SurfaceFormat::R8G8B8X8:
for (int32_t y = 0; y < size.height; y++) {
for (int32_t x = 0; x < size.width; x++) {
int32_t inputIndex = y * inputStride + 4 * x;
int32_t outputIndex = y * outputStride + 4 * x;
outputData[outputIndex + 2] = inputData[inputIndex + 0];
outputData[outputIndex + 1] = inputData[inputIndex + 1];
outputData[outputIndex + 0] = inputData[inputIndex + 2];
outputData[outputIndex + 3] = 255;
}
}
break;
case SurfaceFormat::A8:
for (int32_t y = 0; y < size.height; y++) {
for (int32_t x = 0; x < size.width; x += 16) {
int32_t inputIndex = y * inputStride + x;
int32_t outputIndex = y * outputStride + 4 * x;
u8x16_t p1To16 = simd::Load8<u8x16_t>(&inputData[inputIndex]);
// Turn AAAAAAAAAAAAAAAA into four chunks of 000A000A000A000A by
// interleaving with 0000000000000000 twice.
u8x16_t zero = simd::FromZero8<u8x16_t>();
u8x16_t p1To8 = simd::InterleaveLo8(zero, p1To16);
u8x16_t p9To16 = simd::InterleaveHi8(zero, p1To16);
u8x16_t p1To4 = simd::InterleaveLo8(zero, p1To8);
u8x16_t p5To8 = simd::InterleaveHi8(zero, p1To8);
u8x16_t p9To12 = simd::InterleaveLo8(zero, p9To16);
u8x16_t p13To16 = simd::InterleaveHi8(zero, p9To16);
simd::Store8(&outputData[outputIndex], p1To4);
if ((x + 4) * 4 < outputStride) {
simd::Store8(&outputData[outputIndex + 4 * 4], p5To8);
}
if ((x + 8) * 4 < outputStride) {
simd::Store8(&outputData[outputIndex + 4 * 8], p9To12);
}
if ((x + 12) * 4 < outputStride) {
simd::Store8(&outputData[outputIndex + 4 * 12], p13To16);
}
}
}
break;
default:
output = nullptr;
break;
}
return output.forget();
}
template <typename u8x16_t>
inline void ExtractAlpha_SIMD(const IntSize& size, uint8_t* sourceData,
int32_t sourceStride, uint8_t* alphaData,
int32_t alphaStride) {
for (int32_t y = 0; y < size.height; y++) {
for (int32_t x = 0; x < size.width; x += 16) {
// Process 16 pixels at a time.
// Turn up to four chunks of BGRABGRABGRABGRA into one chunk of
// AAAAAAAAAAAAAAAA.
int32_t sourceIndex = y * sourceStride + 4 * x;
int32_t targetIndex = y * alphaStride + x;
u8x16_t bgrabgrabgrabgra2 = simd::FromZero8<u8x16_t>();
u8x16_t bgrabgrabgrabgra3 = simd::FromZero8<u8x16_t>();
u8x16_t bgrabgrabgrabgra4 = simd::FromZero8<u8x16_t>();
u8x16_t bgrabgrabgrabgra1 =
simd::Load8<u8x16_t>(&sourceData[sourceIndex]);
if (4 * (x + 4) < sourceStride) {
bgrabgrabgrabgra2 =
simd::Load8<u8x16_t>(&sourceData[sourceIndex + 4 * 4]);
}
if (4 * (x + 8) < sourceStride) {
bgrabgrabgrabgra3 =
simd::Load8<u8x16_t>(&sourceData[sourceIndex + 4 * 8]);
}
if (4 * (x + 12) < sourceStride) {
bgrabgrabgrabgra4 =
simd::Load8<u8x16_t>(&sourceData[sourceIndex + 4 * 12]);
}
u8x16_t bbggrraabbggrraa1 =
simd::InterleaveLo8(bgrabgrabgrabgra1, bgrabgrabgrabgra3);
u8x16_t bbggrraabbggrraa2 =
simd::InterleaveHi8(bgrabgrabgrabgra1, bgrabgrabgrabgra3);
u8x16_t bbggrraabbggrraa3 =
simd::InterleaveLo8(bgrabgrabgrabgra2, bgrabgrabgrabgra4);
u8x16_t bbggrraabbggrraa4 =
simd::InterleaveHi8(bgrabgrabgrabgra2, bgrabgrabgrabgra4);
u8x16_t bbbbggggrrrraaaa1 =
simd::InterleaveLo8(bbggrraabbggrraa1, bbggrraabbggrraa3);
u8x16_t bbbbggggrrrraaaa2 =
simd::InterleaveHi8(bbggrraabbggrraa1, bbggrraabbggrraa3);
u8x16_t bbbbggggrrrraaaa3 =
simd::InterleaveLo8(bbggrraabbggrraa2, bbggrraabbggrraa4);
u8x16_t bbbbggggrrrraaaa4 =
simd::InterleaveHi8(bbggrraabbggrraa2, bbggrraabbggrraa4);
u8x16_t rrrrrrrraaaaaaaa1 =
simd::InterleaveHi8(bbbbggggrrrraaaa1, bbbbggggrrrraaaa3);
u8x16_t rrrrrrrraaaaaaaa2 =
simd::InterleaveHi8(bbbbggggrrrraaaa2, bbbbggggrrrraaaa4);
u8x16_t aaaaaaaaaaaaaaaa =
simd::InterleaveHi8(rrrrrrrraaaaaaaa1, rrrrrrrraaaaaaaa2);
simd::Store8(&alphaData[targetIndex], aaaaaaaaaaaaaaaa);
}
}
}
// This function calculates the result color values for four pixels, but for
// only two color channels - either b & r or g & a. However, the a result will
// not be used.
// source and dest each contain 8 values, either bbbb gggg or rrrr aaaa.
// sourceAlpha and destAlpha are of the form aaaa aaaa, where each aaaa is the
// alpha of all four pixels (and both aaaa's are the same).
// blendendComponent1 and blendedComponent2 are the out parameters.
template <typename i16x8_t, typename i32x4_t, uint32_t aBlendMode>
inline void BlendTwoComponentsOfFourPixels(i16x8_t source, i16x8_t sourceAlpha,
i16x8_t dest,
const i16x8_t& destAlpha,
i32x4_t& blendedComponent1,
i32x4_t& blendedComponent2) {
i16x8_t x255 = simd::FromI16<i16x8_t>(255);
switch (aBlendMode) {
case BLEND_MODE_MULTIPLY: {
// val = ((255 - destAlpha) * source + (255 - sourceAlpha + source) *
// dest);
i16x8_t twoFiftyFiveMinusDestAlpha = simd::Sub16(x255, destAlpha);
i16x8_t twoFiftyFiveMinusSourceAlpha = simd::Sub16(x255, sourceAlpha);
i16x8_t twoFiftyFiveMinusSourceAlphaPlusSource =
simd::Add16(twoFiftyFiveMinusSourceAlpha, source);
i16x8_t sourceInterleavedWithDest1 = simd::InterleaveLo16(source, dest);
i16x8_t leftFactor1 = simd::InterleaveLo16(
twoFiftyFiveMinusDestAlpha, twoFiftyFiveMinusSourceAlphaPlusSource);
blendedComponent1 =
simd::MulAdd16x8x2To32x4(sourceInterleavedWithDest1, leftFactor1);
blendedComponent1 = simd::FastDivideBy255(blendedComponent1);
i16x8_t sourceInterleavedWithDest2 = simd::InterleaveHi16(source, dest);
i16x8_t leftFactor2 = simd::InterleaveHi16(
twoFiftyFiveMinusDestAlpha, twoFiftyFiveMinusSourceAlphaPlusSource);
blendedComponent2 =
simd::MulAdd16x8x2To32x4(sourceInterleavedWithDest2, leftFactor2);
blendedComponent2 = simd::FastDivideBy255(blendedComponent2);
break;
}
case BLEND_MODE_SCREEN: {
// val = 255 * (source + dest) + (0 - dest) * source;
i16x8_t sourcePlusDest = simd::Add16(source, dest);
i16x8_t zeroMinusDest = simd::Sub16(simd::FromI16<i16x8_t>(0), dest);
i16x8_t twoFiftyFiveInterleavedWithZeroMinusDest1 =
simd::InterleaveLo16(x255, zeroMinusDest);
i16x8_t sourcePlusDestInterleavedWithSource1 =
simd::InterleaveLo16(sourcePlusDest, source);
blendedComponent1 =
simd::MulAdd16x8x2To32x4(twoFiftyFiveInterleavedWithZeroMinusDest1,
sourcePlusDestInterleavedWithSource1);
blendedComponent1 = simd::FastDivideBy255(blendedComponent1);
i16x8_t twoFiftyFiveInterleavedWithZeroMinusDest2 =
simd::InterleaveHi16(x255, zeroMinusDest);
i16x8_t sourcePlusDestInterleavedWithSource2 =
simd::InterleaveHi16(sourcePlusDest, source);
blendedComponent2 =
simd::MulAdd16x8x2To32x4(twoFiftyFiveInterleavedWithZeroMinusDest2,
sourcePlusDestInterleavedWithSource2);
blendedComponent2 = simd::FastDivideBy255(blendedComponent2);
break;
}
case BLEND_MODE_DARKEN:
case BLEND_MODE_LIGHTEN: {
// Darken:
// val = min((255 - destAlpha) * source + 255 * dest,
// 255 * source + (255 - sourceAlpha) * dest);
//
// Lighten:
// val = max((255 - destAlpha) * source + 255 * dest,
// 255 * source + (255 - sourceAlpha) * dest);
i16x8_t twoFiftyFiveMinusDestAlpha = simd::Sub16(x255, destAlpha);
i16x8_t twoFiftyFiveMinusSourceAlpha = simd::Sub16(x255, sourceAlpha);
i16x8_t twoFiftyFiveMinusDestAlphaInterleavedWithTwoFiftyFive1 =
simd::InterleaveLo16(twoFiftyFiveMinusDestAlpha, x255);
i16x8_t twoFiftyFiveInterleavedWithTwoFiftyFiveMinusSourceAlpha1 =
simd::InterleaveLo16(x255, twoFiftyFiveMinusSourceAlpha);
i16x8_t sourceInterleavedWithDest1 = simd::InterleaveLo16(source, dest);
i32x4_t product1_1 = simd::MulAdd16x8x2To32x4(
twoFiftyFiveMinusDestAlphaInterleavedWithTwoFiftyFive1,
sourceInterleavedWithDest1);
i32x4_t product1_2 = simd::MulAdd16x8x2To32x4(
twoFiftyFiveInterleavedWithTwoFiftyFiveMinusSourceAlpha1,
sourceInterleavedWithDest1);
blendedComponent1 = aBlendMode == BLEND_MODE_DARKEN
? simd::Min32(product1_1, product1_2)
: simd::Max32(product1_1, product1_2);
blendedComponent1 = simd::FastDivideBy255(blendedComponent1);
i16x8_t twoFiftyFiveMinusDestAlphaInterleavedWithTwoFiftyFive2 =
simd::InterleaveHi16(twoFiftyFiveMinusDestAlpha, x255);
i16x8_t twoFiftyFiveInterleavedWithTwoFiftyFiveMinusSourceAlpha2 =
simd::InterleaveHi16(x255, twoFiftyFiveMinusSourceAlpha);
i16x8_t sourceInterleavedWithDest2 = simd::InterleaveHi16(source, dest);
i32x4_t product2_1 = simd::MulAdd16x8x2To32x4(
twoFiftyFiveMinusDestAlphaInterleavedWithTwoFiftyFive2,
sourceInterleavedWithDest2);
i32x4_t product2_2 = simd::MulAdd16x8x2To32x4(
twoFiftyFiveInterleavedWithTwoFiftyFiveMinusSourceAlpha2,
sourceInterleavedWithDest2);
blendedComponent2 = aBlendMode == BLEND_MODE_DARKEN
? simd::Min32(product2_1, product2_2)
: simd::Max32(product2_1, product2_2);
blendedComponent2 = simd::FastDivideBy255(blendedComponent2);
break;
}
}
}
// The alpha channel is subject to a different calculation than the RGB
// channels, and this calculation is the same for all blend modes:
// resultAlpha * 255 = 255 * 255 - (255 - sourceAlpha) * (255 - destAlpha)
template <typename i16x8_t, typename i32x4_t>
inline i32x4_t BlendAlphaOfFourPixels(i16x8_t s_rrrraaaa1234,
i16x8_t d_rrrraaaa1234) {
// clang-format off
// We're using MulAdd16x8x2To32x4, so we need to interleave our factors
// appropriately. The calculation is rewritten as follows:
// resultAlpha[0] * 255 = 255 * 255 - (255 - sourceAlpha[0]) * (255 - destAlpha[0])
// = 255 * 255 + (255 - sourceAlpha[0]) * (destAlpha[0] - 255)
// = (255 - 0) * (510 - 255) + (255 - sourceAlpha[0]) * (destAlpha[0] - 255)
// = MulAdd(255 - IntLv(0, sourceAlpha), IntLv(510, destAlpha) - 255)[0]
// clang-format on
i16x8_t zeroInterleavedWithSourceAlpha =
simd::InterleaveHi16(simd::FromI16<i16x8_t>(0), s_rrrraaaa1234);
i16x8_t fiveTenInterleavedWithDestAlpha =
simd::InterleaveHi16(simd::FromI16<i16x8_t>(510), d_rrrraaaa1234);
i16x8_t f1 =
simd::Sub16(simd::FromI16<i16x8_t>(255), zeroInterleavedWithSourceAlpha);
i16x8_t f2 =
simd::Sub16(fiveTenInterleavedWithDestAlpha, simd::FromI16<i16x8_t>(255));
return simd::FastDivideBy255(simd::MulAdd16x8x2To32x4(f1, f2));
}
template <typename u8x16_t, typename i16x8_t>
inline void UnpackAndShuffleComponents(u8x16_t bgrabgrabgrabgra1234,
i16x8_t& bbbbgggg1234,
i16x8_t& rrrraaaa1234) {
// bgrabgrabgrabgra1234 -> bbbbgggg1234, rrrraaaa1234
i16x8_t bgrabgra12 = simd::UnpackLo8x8ToI16x8(bgrabgrabgrabgra1234);
i16x8_t bgrabgra34 = simd::UnpackHi8x8ToI16x8(bgrabgrabgrabgra1234);
i16x8_t bbggrraa13 = simd::InterleaveLo16(bgrabgra12, bgrabgra34);
i16x8_t bbggrraa24 = simd::InterleaveHi16(bgrabgra12, bgrabgra34);
bbbbgggg1234 = simd::InterleaveLo16(bbggrraa13, bbggrraa24);
rrrraaaa1234 = simd::InterleaveHi16(bbggrraa13, bbggrraa24);
}
template <typename i32x4_t, typename i16x8_t, typename u8x16_t>
inline u8x16_t ShuffleAndPackComponents(i32x4_t bbbb1234, i32x4_t gggg1234,
i32x4_t rrrr1234,
const i32x4_t& aaaa1234) {
// bbbb1234, gggg1234, rrrr1234, aaaa1234 -> bgrabgrabgrabgra1234
i16x8_t bbbbgggg1234 = simd::PackAndSaturate32To16(bbbb1234, gggg1234);
i16x8_t rrrraaaa1234 = simd::PackAndSaturate32To16(rrrr1234, aaaa1234);
i16x8_t brbrbrbr1234 = simd::InterleaveLo16(bbbbgggg1234, rrrraaaa1234);
i16x8_t gagagaga1234 = simd::InterleaveHi16(bbbbgggg1234, rrrraaaa1234);
i16x8_t bgrabgra12 = simd::InterleaveLo16(brbrbrbr1234, gagagaga1234);
i16x8_t bgrabgra34 = simd::InterleaveHi16(brbrbrbr1234, gagagaga1234);
return simd::PackAndSaturate16To8(bgrabgra12, bgrabgra34);
}
template <typename i32x4_t, typename i16x8_t, typename u8x16_t, BlendMode mode>
inline void ApplyBlending_SIMD(const DataSourceSurface::ScopedMap& aInputMap1,
const DataSourceSurface::ScopedMap& aInputMap2,
const DataSourceSurface::ScopedMap& aOutputMap,
const IntSize& aSize) {
uint8_t* source1Data = aInputMap1.GetData();
uint8_t* source2Data = aInputMap2.GetData();
uint8_t* targetData = aOutputMap.GetData();
int32_t targetStride = aOutputMap.GetStride();
int32_t source1Stride = aInputMap1.GetStride();
int32_t source2Stride = aInputMap2.GetStride();
for (int32_t y = 0; y < aSize.height; y++) {
for (int32_t x = 0; x < aSize.width; x += 4) {
int32_t targetIndex = y * targetStride + 4 * x;
int32_t source1Index = y * source1Stride + 4 * x;
int32_t source2Index = y * source2Stride + 4 * x;
u8x16_t s1234 = simd::Load8<u8x16_t>(&source2Data[source2Index]);
u8x16_t d1234 = simd::Load8<u8x16_t>(&source1Data[source1Index]);
// The blending calculation for the RGB channels all need access to the
// alpha channel of their pixel, and the alpha calculation is different,
// so it makes sense to separate by channel.
i16x8_t s_bbbbgggg1234, s_rrrraaaa1234;
i16x8_t d_bbbbgggg1234, d_rrrraaaa1234;
UnpackAndShuffleComponents(s1234, s_bbbbgggg1234, s_rrrraaaa1234);
UnpackAndShuffleComponents(d1234, d_bbbbgggg1234, d_rrrraaaa1234);
i16x8_t s_aaaaaaaa1234 = simd::Shuffle32<3, 2, 3, 2>(s_rrrraaaa1234);
i16x8_t d_aaaaaaaa1234 = simd::Shuffle32<3, 2, 3, 2>(d_rrrraaaa1234);
// We only use blendedB, blendedG and blendedR.
i32x4_t blendedB, blendedG, blendedR, blendedA;
BlendTwoComponentsOfFourPixels<i16x8_t, i32x4_t, mode>(
s_bbbbgggg1234, s_aaaaaaaa1234, d_bbbbgggg1234, d_aaaaaaaa1234,
blendedB, blendedG);
BlendTwoComponentsOfFourPixels<i16x8_t, i32x4_t, mode>(
s_rrrraaaa1234, s_aaaaaaaa1234, d_rrrraaaa1234, d_aaaaaaaa1234,
blendedR, blendedA);
// Throw away blendedA and overwrite it with the correct blended alpha.
blendedA = BlendAlphaOfFourPixels<i16x8_t, i32x4_t>(s_rrrraaaa1234,
d_rrrraaaa1234);
u8x16_t result1234 = ShuffleAndPackComponents<i32x4_t, i16x8_t, u8x16_t>(
blendedB, blendedG, blendedR, blendedA);
simd::Store8(&targetData[targetIndex], result1234);
}
}
}
template <typename i32x4_t, typename i16x8_t, typename u8x16_t, BlendMode mode>
inline already_AddRefed<DataSourceSurface> ApplyBlending_SIMD(
DataSourceSurface* aInput1, DataSourceSurface* aInput2) {
IntSize size = aInput1->GetSize();
RefPtr<DataSourceSurface> target =
Factory::CreateDataSourceSurface(size, SurfaceFormat::B8G8R8A8);
if (!target) {
return nullptr;
}
DataSourceSurface::ScopedMap inputMap1(aInput1, DataSourceSurface::READ);
DataSourceSurface::ScopedMap outputMap(target, DataSourceSurface::READ_WRITE);
if (aInput1->Equals(aInput2)) {
ApplyBlending_SIMD<i32x4_t, i16x8_t, u8x16_t, mode>(inputMap1, inputMap1,
outputMap, size);
} else {
DataSourceSurface::ScopedMap inputMap2(aInput2, DataSourceSurface::READ);
ApplyBlending_SIMD<i32x4_t, i16x8_t, u8x16_t, mode>(inputMap1, inputMap2,
outputMap, size);
}
return target.forget();
}
template <typename i32x4_t, typename i16x8_t, typename u8x16_t>
static already_AddRefed<DataSourceSurface> ApplyBlending_SIMD(
DataSourceSurface* aInput1, DataSourceSurface* aInput2,
BlendMode aBlendMode) {
switch (aBlendMode) {
case BLEND_MODE_MULTIPLY:
return ApplyBlending_SIMD<i32x4_t, i16x8_t, u8x16_t, BLEND_MODE_MULTIPLY>(
aInput1, aInput2);
case BLEND_MODE_SCREEN:
return ApplyBlending_SIMD<i32x4_t, i16x8_t, u8x16_t, BLEND_MODE_SCREEN>(
aInput1, aInput2);
case BLEND_MODE_DARKEN:
return ApplyBlending_SIMD<i32x4_t, i16x8_t, u8x16_t, BLEND_MODE_DARKEN>(
aInput1, aInput2);
case BLEND_MODE_LIGHTEN:
return ApplyBlending_SIMD<i32x4_t, i16x8_t, u8x16_t, BLEND_MODE_LIGHTEN>(
aInput1, aInput2);
default:
return nullptr;
}
}
template <MorphologyOperator Operator, typename u8x16_t>
static u8x16_t Morph8(u8x16_t a, u8x16_t b) {
return Operator == MORPHOLOGY_OPERATOR_ERODE ? simd::Min8(a, b)
: simd::Max8(a, b);
}
// Set every pixel to the per-component minimum or maximum of the pixels around
// it that are up to aRadius pixels away from it (horizontally).
template <MorphologyOperator op, typename i16x8_t, typename u8x16_t>
inline void ApplyMorphologyHorizontal_SIMD(
uint8_t* aSourceData, int32_t aSourceStride, uint8_t* aDestData,
int32_t aDestStride, const IntRect& aDestRect, int32_t aRadius) {
static_assert(
op == MORPHOLOGY_OPERATOR_ERODE || op == MORPHOLOGY_OPERATOR_DILATE,
"unexpected morphology operator");
int32_t kernelSize = aRadius + 1 + aRadius;
MOZ_ASSERT(kernelSize >= 3, "don't call this with aRadius <= 0");
MOZ_ASSERT(kernelSize % 4 == 1 || kernelSize % 4 == 3);
int32_t completeKernelSizeForFourPixels = kernelSize + 3;
MOZ_ASSERT(completeKernelSizeForFourPixels % 4 == 0 ||
completeKernelSizeForFourPixels % 4 == 2);
// aSourceData[-aRadius] and aDestData[0] are both aligned to 16 bytes, just
// the way we need them to be.
IntRect sourceRect = aDestRect;
sourceRect.Inflate(aRadius, 0);
for (int32_t y = aDestRect.Y(); y < aDestRect.YMost(); y++) {
int32_t kernelStartX = aDestRect.X() - aRadius;
for (int32_t x = aDestRect.X(); x < aDestRect.XMost();
x += 4, kernelStartX += 4) {
// We process four pixels (16 color values) at a time.
// aSourceData[0] points to the pixel located at aDestRect.TopLeft();
// source values can be read beyond that because the source is extended
// by aRadius pixels.
int32_t sourceIndex = y * aSourceStride + 4 * kernelStartX;
u8x16_t p1234 = simd::Load8<u8x16_t>(&aSourceData[sourceIndex]);
u8x16_t m1234 = p1234;
for (int32_t i = 4; i < completeKernelSizeForFourPixels; i += 4) {
u8x16_t p5678 =
(kernelStartX + i < sourceRect.XMost())
? simd::Load8<u8x16_t>(&aSourceData[sourceIndex + 4 * i])
: simd::FromZero8<u8x16_t>();
u8x16_t p2345 = simd::Rotate8<4>(p1234, p5678);
u8x16_t p3456 = simd::Rotate8<8>(p1234, p5678);
m1234 = Morph8<op, u8x16_t>(m1234, p2345);
m1234 = Morph8<op, u8x16_t>(m1234, p3456);
if (i + 2 < completeKernelSizeForFourPixels) {
u8x16_t p4567 = simd::Rotate8<12>(p1234, p5678);
m1234 = Morph8<op, u8x16_t>(m1234, p4567);
m1234 = Morph8<op, u8x16_t>(m1234, p5678);
}
p1234 = p5678;
}
int32_t destIndex = y * aDestStride + 4 * x;
simd::Store8(&aDestData[destIndex], m1234);
}
}
}
template <typename i16x8_t, typename u8x16_t>
inline void ApplyMorphologyHorizontal_SIMD(
uint8_t* aSourceData, int32_t aSourceStride, uint8_t* aDestData,
int32_t aDestStride, const IntRect& aDestRect, int32_t aRadius,
MorphologyOperator aOp) {
if (aOp == MORPHOLOGY_OPERATOR_ERODE) {
ApplyMorphologyHorizontal_SIMD<MORPHOLOGY_OPERATOR_ERODE, i16x8_t, u8x16_t>(
aSourceData, aSourceStride, aDestData, aDestStride, aDestRect, aRadius);
} else {
ApplyMorphologyHorizontal_SIMD<MORPHOLOGY_OPERATOR_DILATE, i16x8_t,
u8x16_t>(
aSourceData, aSourceStride, aDestData, aDestStride, aDestRect, aRadius);
}
}
// Set every pixel to the per-component minimum or maximum of the pixels around
// it that are up to aRadius pixels away from it (vertically).
template <MorphologyOperator op, typename i16x8_t, typename u8x16_t>
static void ApplyMorphologyVertical_SIMD(
uint8_t* aSourceData, int32_t aSourceStride, uint8_t* aDestData,
int32_t aDestStride, const IntRect& aDestRect, int32_t aRadius) {
static_assert(
op == MORPHOLOGY_OPERATOR_ERODE || op == MORPHOLOGY_OPERATOR_DILATE,
"unexpected morphology operator");
int32_t startY = aDestRect.Y() - aRadius;
int32_t endY = aDestRect.Y() + aRadius;
for (int32_t y = aDestRect.Y(); y < aDestRect.YMost();
y++, startY++, endY++) {
for (int32_t x = aDestRect.X(); x < aDestRect.XMost(); x += 4) {
int32_t sourceIndex = startY * aSourceStride + 4 * x;
u8x16_t u = simd::Load8<u8x16_t>(&aSourceData[sourceIndex]);
sourceIndex += aSourceStride;
for (int32_t iy = startY + 1; iy <= endY;
iy++, sourceIndex += aSourceStride) {
u8x16_t u2 = simd::Load8<u8x16_t>(&aSourceData[sourceIndex]);
u = Morph8<op, u8x16_t>(u, u2);
}
int32_t destIndex = y * aDestStride + 4 * x;
simd::Store8(&aDestData[destIndex], u);
}
}
}
template <typename i16x8_t, typename u8x16_t>
inline void ApplyMorphologyVertical_SIMD(
uint8_t* aSourceData, int32_t aSourceStride, uint8_t* aDestData,
int32_t aDestStride, const IntRect& aDestRect, int32_t aRadius,
MorphologyOperator aOp) {
if (aOp == MORPHOLOGY_OPERATOR_ERODE) {
ApplyMorphologyVertical_SIMD<MORPHOLOGY_OPERATOR_ERODE, i16x8_t, u8x16_t>(
aSourceData, aSourceStride, aDestData, aDestStride, aDestRect, aRadius);
} else {
ApplyMorphologyVertical_SIMD<MORPHOLOGY_OPERATOR_DILATE, i16x8_t, u8x16_t>(
aSourceData, aSourceStride, aDestData, aDestStride, aDestRect, aRadius);
}
}
template <typename i32x4_t, typename i16x8_t>
static i32x4_t ColorMatrixMultiply(i16x8_t p, i16x8_t rows_bg, i16x8_t rows_ra,
const i32x4_t& bias) {
// int16_t p[8] == { b, g, r, a, b, g, r, a }.
// int16_t rows_bg[8] == { bB, bG, bR, bA, gB, gG, gR, gA }.
// int16_t rows_ra[8] == { rB, rG, rR, rA, aB, aG, aR, aA }.
// int32_t bias[4] == { _B, _G, _R, _A }.
i32x4_t sum = bias;
// int16_t bg[8] = { b, g, b, g, b, g, b, g };
i16x8_t bg = simd::ShuffleHi16<1, 0, 1, 0>(simd::ShuffleLo16<1, 0, 1, 0>(p));
// int32_t prodsum_bg[4] =
// { b * bB + g * gB, b * bG + g * gG, b * bR + g * gR, b * bA + g * gA }
i32x4_t prodsum_bg = simd::MulAdd16x8x2To32x4(bg, rows_bg);
sum = simd::Add32(sum, prodsum_bg);
// uint16_t ra[8] = { r, a, r, a, r, a, r, a };
i16x8_t ra = simd::ShuffleHi16<3, 2, 3, 2>(simd::ShuffleLo16<3, 2, 3, 2>(p));
// int32_t prodsum_ra[4] =
// { r * rB + a * aB, r * rG + a * aG, r * rR + a * aR, r * rA + a * aA }
i32x4_t prodsum_ra = simd::MulAdd16x8x2To32x4(ra, rows_ra);
sum = simd::Add32(sum, prodsum_ra);
// int32_t sum[4] == { b * bB + g * gB + r * rB + a * aB + _B, ... }.
return sum;
}
template <typename i32x4_t, typename i16x8_t, typename u8x16_t>
static already_AddRefed<DataSourceSurface> ApplyColorMatrix_SIMD(
DataSourceSurface* aInput, const Matrix5x4& aMatrix) {
IntSize size = aInput->GetSize();
RefPtr<DataSourceSurface> target =
Factory::CreateDataSourceSurface(size, SurfaceFormat::B8G8R8A8);
if (!target) {
return nullptr;
}
DataSourceSurface::ScopedMap inputMap(aInput, DataSourceSurface::READ);
DataSourceSurface::ScopedMap outputMap(target, DataSourceSurface::READ_WRITE);
uint8_t* sourceData = inputMap.GetData();
uint8_t* targetData = outputMap.GetData();
int32_t sourceStride = inputMap.GetStride();
int32_t targetStride = outputMap.GetStride();
const int16_t factor = 128;
const Float floatElementMax = INT16_MAX / factor; // 255
MOZ_ASSERT((floatElementMax * factor) <= INT16_MAX,
"badly chosen float-to-int scale");
const Float* floats = &aMatrix._11;
ptrdiff_t componentOffsets[4] = {
B8G8R8A8_COMPONENT_BYTEOFFSET_R, B8G8R8A8_COMPONENT_BYTEOFFSET_G,
B8G8R8A8_COMPONENT_BYTEOFFSET_B, B8G8R8A8_COMPONENT_BYTEOFFSET_A};
// We store the color matrix in rows_bgra in the following format:
// { bB, bG, bR, bA, gB, gG, gR, gA }.
// { bB, gB, bG, gG, bR, gR, bA, gA }
// The way this is interleaved allows us to use the intrinsic _mm_madd_epi16
// which works especially well for our use case.
int16_t rows_bgra[2][8];
for (size_t rowIndex = 0; rowIndex < 4; rowIndex++) {
for (size_t colIndex = 0; colIndex < 4; colIndex++) {
const Float& floatMatrixElement = floats[rowIndex * 4 + colIndex];
Float clampedFloatMatrixElement = std::min(
std::max(floatMatrixElement, -floatElementMax), floatElementMax);
int16_t scaledIntMatrixElement =
int16_t(clampedFloatMatrixElement * factor + 0.5);
int8_t bg_or_ra = componentOffsets[rowIndex] / 2;
int8_t g_or_a = componentOffsets[rowIndex] % 2;
int8_t B_or_G_or_R_or_A = componentOffsets[colIndex];
rows_bgra[bg_or_ra][B_or_G_or_R_or_A * 2 + g_or_a] =
scaledIntMatrixElement;
}
}
int32_t rowBias[4];
Float biasMax = (INT32_MAX - 4 * 255 * INT16_MAX) / (factor * 255);
for (size_t colIndex = 0; colIndex < 4; colIndex++) {
size_t rowIndex = 4;
const Float& floatMatrixElement = floats[rowIndex * 4 + colIndex];
Float clampedFloatMatrixElement =
std::min(std::max(floatMatrixElement, -biasMax), biasMax);
int32_t scaledIntMatrixElement =
int32_t(clampedFloatMatrixElement * factor * 255 + 0.5);
rowBias[componentOffsets[colIndex]] = scaledIntMatrixElement;
}
i16x8_t row_bg_v = simd::FromI16<i16x8_t>(
rows_bgra[0][0], rows_bgra[0][1], rows_bgra[0][2], rows_bgra[0][3],
rows_bgra[0][4], rows_bgra[0][5], rows_bgra[0][6], rows_bgra[0][7]);
i16x8_t row_ra_v = simd::FromI16<i16x8_t>(
rows_bgra[1][0], rows_bgra[1][1], rows_bgra[1][2], rows_bgra[1][3],
rows_bgra[1][4], rows_bgra[1][5], rows_bgra[1][6], rows_bgra[1][7]);
i32x4_t rowsBias_v =
simd::From32<i32x4_t>(rowBias[0], rowBias[1], rowBias[2], rowBias[3]);
for (int32_t y = 0; y < size.height; y++) {
for (int32_t x = 0; x < size.width; x += 4) {
MOZ_ASSERT(sourceStride >= 4 * (x + 4),
"need to be able to read 4 pixels at this position");
MOZ_ASSERT(targetStride >= 4 * (x + 4),
"need to be able to write 4 pixels at this position");
int32_t sourceIndex = y * sourceStride + 4 * x;
int32_t targetIndex = y * targetStride + 4 * x;
// We load 4 pixels, unpack them, process them 1 pixel at a time, and
// finally pack and store the 4 result pixels.
u8x16_t p1234 = simd::Load8<u8x16_t>(&sourceData[sourceIndex]);
// Splat needed to get each pixel twice into i16x8
i16x8_t p11 = simd::UnpackLo8x8ToI16x8(simd::Splat32On8<0>(p1234));
i16x8_t p22 = simd::UnpackLo8x8ToI16x8(simd::Splat32On8<1>(p1234));
i16x8_t p33 = simd::UnpackLo8x8ToI16x8(simd::Splat32On8<2>(p1234));
i16x8_t p44 = simd::UnpackLo8x8ToI16x8(simd::Splat32On8<3>(p1234));
i32x4_t result_p1 =
ColorMatrixMultiply(p11, row_bg_v, row_ra_v, rowsBias_v);
i32x4_t result_p2 =
ColorMatrixMultiply(p22, row_bg_v, row_ra_v, rowsBias_v);
i32x4_t result_p3 =
ColorMatrixMultiply(p33, row_bg_v, row_ra_v, rowsBias_v);
i32x4_t result_p4 =
ColorMatrixMultiply(p44, row_bg_v, row_ra_v, rowsBias_v);
static_assert(factor == 1 << 7,
"Please adapt the calculation in the lines below for a "
"different factor.");
u8x16_t result_p1234 = simd::PackAndSaturate32To8(
simd::ShiftRight32<7>(result_p1), simd::ShiftRight32<7>(result_p2),
simd::ShiftRight32<7>(result_p3), simd::ShiftRight32<7>(result_p4));
simd::Store8(&targetData[targetIndex], result_p1234);
}
}
return target.forget();
}
// source / dest: bgra bgra
// sourceAlpha / destAlpha: aaaa aaaa
// result: bgra bgra
template <typename i32x4_t, typename u16x8_t, uint32_t aCompositeOperator>
static inline u16x8_t CompositeTwoPixels(u16x8_t source, u16x8_t sourceAlpha,
u16x8_t dest,
const u16x8_t& destAlpha) {
u16x8_t x255 = simd::FromU16<u16x8_t>(255);
switch (aCompositeOperator) {
case COMPOSITE_OPERATOR_OVER: {
// val = dest * (255 - sourceAlpha) + source * 255;
u16x8_t twoFiftyFiveMinusSourceAlpha = simd::Sub16(x255, sourceAlpha);
u16x8_t destSourceInterleaved1 = simd::InterleaveLo16(dest, source);
u16x8_t rightFactor1 =
simd::InterleaveLo16(twoFiftyFiveMinusSourceAlpha, x255);
i32x4_t result1 =
simd::MulAdd16x8x2To32x4(destSourceInterleaved1, rightFactor1);
u16x8_t destSourceInterleaved2 = simd::InterleaveHi16(dest, source);
u16x8_t rightFactor2 =
simd::InterleaveHi16(twoFiftyFiveMinusSourceAlpha, x255);
i32x4_t result2 =
simd::MulAdd16x8x2To32x4(destSourceInterleaved2, rightFactor2);
return simd::PackAndSaturate32ToU16(simd::FastDivideBy255(result1),
simd::FastDivideBy255(result2));
}
case COMPOSITE_OPERATOR_IN: {
// val = source * destAlpha;
return simd::FastDivideBy255_16(simd::Mul16(source, destAlpha));
}
case COMPOSITE_OPERATOR_OUT: {
// val = source * (255 - destAlpha);
u16x8_t prod = simd::Mul16(source, simd::Sub16(x255, destAlpha));
return simd::FastDivideBy255_16(prod);
}
case COMPOSITE_OPERATOR_ATOP: {
// val = dest * (255 - sourceAlpha) + source * destAlpha;
u16x8_t twoFiftyFiveMinusSourceAlpha = simd::Sub16(x255, sourceAlpha);
u16x8_t destSourceInterleaved1 = simd::InterleaveLo16(dest, source);
u16x8_t rightFactor1 =
simd::InterleaveLo16(twoFiftyFiveMinusSourceAlpha, destAlpha);
i32x4_t result1 =
simd::MulAdd16x8x2To32x4(destSourceInterleaved1, rightFactor1);
u16x8_t destSourceInterleaved2 = simd::InterleaveHi16(dest, source);
u16x8_t rightFactor2 =
simd::InterleaveHi16(twoFiftyFiveMinusSourceAlpha, destAlpha);
i32x4_t result2 =
simd::MulAdd16x8x2To32x4(destSourceInterleaved2, rightFactor2);
return simd::PackAndSaturate32ToU16(simd::FastDivideBy255(result1),
simd::FastDivideBy255(result2));
}
case COMPOSITE_OPERATOR_XOR: {
// val = dest * (255 - sourceAlpha) + source * (255 - destAlpha);
u16x8_t twoFiftyFiveMinusSourceAlpha = simd::Sub16(x255, sourceAlpha);
u16x8_t twoFiftyFiveMinusDestAlpha = simd::Sub16(x255, destAlpha);
u16x8_t destSourceInterleaved1 = simd::InterleaveLo16(dest, source);
u16x8_t rightFactor1 = simd::InterleaveLo16(twoFiftyFiveMinusSourceAlpha,
twoFiftyFiveMinusDestAlpha);
i32x4_t result1 =
simd::MulAdd16x8x2To32x4(destSourceInterleaved1, rightFactor1);
u16x8_t destSourceInterleaved2 = simd::InterleaveHi16(dest, source);
u16x8_t rightFactor2 = simd::InterleaveHi16(twoFiftyFiveMinusSourceAlpha,
twoFiftyFiveMinusDestAlpha);
i32x4_t result2 =
simd::MulAdd16x8x2To32x4(destSourceInterleaved2, rightFactor2);
return simd::PackAndSaturate32ToU16(simd::FastDivideBy255(result1),
simd::FastDivideBy255(result2));
}
case COMPOSITE_OPERATOR_LIGHTER: {
// val = dest * sourceAlpha + source * destAlpha;
u16x8_t destSourceInterleaved1 = simd::InterleaveLo16(dest, source);
u16x8_t rightFactor1 = simd::InterleaveLo16(sourceAlpha, destAlpha);
i32x4_t result1 =
simd::MulAdd16x8x2To32x4(destSourceInterleaved1, rightFactor1);
u16x8_t destSourceInterleaved2 = simd::InterleaveHi16(dest, source);
u16x8_t rightFactor2 = simd::InterleaveHi16(sourceAlpha, destAlpha);
i32x4_t result2 =
simd::MulAdd16x8x2To32x4(destSourceInterleaved2, rightFactor2);
return simd::PackAndSaturate32ToU16(simd::FastDivideBy255(result1),
simd::FastDivideBy255(result2));
}
default:
return simd::FromU16<u16x8_t>(0);
}
}
template <typename i32x4_t, typename u16x8_t, typename u8x16_t, uint32_t op>
static void ApplyComposition(DataSourceSurface* aSource,
DataSourceSurface* aDest) {
IntSize size = aDest->GetSize();
DataSourceSurface::ScopedMap input(aSource, DataSourceSurface::READ);
DataSourceSurface::ScopedMap output(aDest, DataSourceSurface::READ_WRITE);
uint8_t* sourceData = input.GetData();
uint8_t* destData = output.GetData();
uint32_t sourceStride = input.GetStride();
uint32_t destStride = output.GetStride();
for (int32_t y = 0; y < size.height; y++) {
for (int32_t x = 0; x < size.width; x += 4) {
uint32_t sourceIndex = y * sourceStride + 4 * x;
uint32_t destIndex = y * destStride + 4 * x;
u8x16_t s1234 = simd::Load8<u8x16_t>(&sourceData[sourceIndex]);
u8x16_t d1234 = simd::Load8<u8x16_t>(&destData[destIndex]);
u16x8_t s12 = simd::UnpackLo8x8ToU16x8(s1234);
u16x8_t d12 = simd::UnpackLo8x8ToU16x8(d1234);
u16x8_t sa12 = simd::Splat16<3, 3>(s12);
u16x8_t da12 = simd::Splat16<3, 3>(d12);
u16x8_t result12 =
CompositeTwoPixels<i32x4_t, u16x8_t, op>(s12, sa12, d12, da12);
u16x8_t s34 = simd::UnpackHi8x8ToU16x8(s1234);
u16x8_t d34 = simd::UnpackHi8x8ToU16x8(d1234);
u16x8_t sa34 = simd::Splat16<3, 3>(s34);
u16x8_t da34 = simd::Splat16<3, 3>(d34);
u16x8_t result34 =
CompositeTwoPixels<i32x4_t, u16x8_t, op>(s34, sa34, d34, da34);
u8x16_t result1234 = simd::PackAndSaturate16To8(result12, result34);
simd::Store8(&destData[destIndex], result1234);
}
}
}
template <typename i32x4_t, typename i16x8_t, typename u8x16_t>
static void ApplyComposition_SIMD(DataSourceSurface* aSource,
DataSourceSurface* aDest,
CompositeOperator aOperator) {
switch (aOperator) {
case COMPOSITE_OPERATOR_OVER:
ApplyComposition<i32x4_t, i16x8_t, u8x16_t, COMPOSITE_OPERATOR_OVER>(
aSource, aDest);
break;
case COMPOSITE_OPERATOR_IN:
ApplyComposition<i32x4_t, i16x8_t, u8x16_t, COMPOSITE_OPERATOR_IN>(
aSource, aDest);
break;
case COMPOSITE_OPERATOR_OUT:
ApplyComposition<i32x4_t, i16x8_t, u8x16_t, COMPOSITE_OPERATOR_OUT>(
aSource, aDest);
break;
case COMPOSITE_OPERATOR_ATOP:
ApplyComposition<i32x4_t, i16x8_t, u8x16_t, COMPOSITE_OPERATOR_ATOP>(
aSource, aDest);
break;
case COMPOSITE_OPERATOR_XOR:
ApplyComposition<i32x4_t, i16x8_t, u8x16_t, COMPOSITE_OPERATOR_XOR>(
aSource, aDest);
break;
case COMPOSITE_OPERATOR_LIGHTER:
ApplyComposition<i32x4_t, i16x8_t, u8x16_t, COMPOSITE_OPERATOR_LIGHTER>(
aSource, aDest);
break;
default:
MOZ_CRASH("GFX: Incomplete switch");
}
}
template <typename u8x16_t>
static void SeparateColorChannels_SIMD(
const IntSize& size, uint8_t* sourceData, int32_t sourceStride,
uint8_t* channel0Data, uint8_t* channel1Data, uint8_t* channel2Data,
uint8_t* channel3Data, int32_t channelStride) {
for (int32_t y = 0; y < size.height; y++) {
for (int32_t x = 0; x < size.width; x += 16) {
// Process 16 pixels at a time.
int32_t sourceIndex = y * sourceStride + 4 * x;
int32_t targetIndex = y * channelStride + x;
u8x16_t bgrabgrabgrabgra2 = simd::FromZero8<u8x16_t>();
u8x16_t bgrabgrabgrabgra3 = simd::FromZero8<u8x16_t>();
u8x16_t bgrabgrabgrabgra4 = simd::FromZero8<u8x16_t>();
u8x16_t bgrabgrabgrabgra1 =
simd::Load8<u8x16_t>(&sourceData[sourceIndex]);
if (4 * (x + 4) < sourceStride) {
bgrabgrabgrabgra2 =
simd::Load8<u8x16_t>(&sourceData[sourceIndex + 4 * 4]);
}
if (4 * (x + 8) < sourceStride) {
bgrabgrabgrabgra3 =
simd::Load8<u8x16_t>(&sourceData[sourceIndex + 4 * 8]);
}
if (4 * (x + 12) < sourceStride) {
bgrabgrabgrabgra4 =
simd::Load8<u8x16_t>(&sourceData[sourceIndex + 4 * 12]);
}
u8x16_t bbggrraabbggrraa1 =
simd::InterleaveLo8(bgrabgrabgrabgra1, bgrabgrabgrabgra3);
u8x16_t bbggrraabbggrraa2 =
simd::InterleaveHi8(bgrabgrabgrabgra1, bgrabgrabgrabgra3);
u8x16_t bbggrraabbggrraa3 =
simd::InterleaveLo8(bgrabgrabgrabgra2, bgrabgrabgrabgra4);
u8x16_t bbggrraabbggrraa4 =
simd::InterleaveHi8(bgrabgrabgrabgra2, bgrabgrabgrabgra4);
u8x16_t bbbbggggrrrraaaa1 =
simd::InterleaveLo8(bbggrraabbggrraa1, bbggrraabbggrraa3);
u8x16_t bbbbggggrrrraaaa2 =
simd::InterleaveHi8(bbggrraabbggrraa1, bbggrraabbggrraa3);
u8x16_t bbbbggggrrrraaaa3 =
simd::InterleaveLo8(bbggrraabbggrraa2, bbggrraabbggrraa4);
u8x16_t bbbbggggrrrraaaa4 =
simd::InterleaveHi8(bbggrraabbggrraa2, bbggrraabbggrraa4);
u8x16_t bbbbbbbbgggggggg1 =
simd::InterleaveLo8(bbbbggggrrrraaaa1, bbbbggggrrrraaaa3);
u8x16_t rrrrrrrraaaaaaaa1 =
simd::InterleaveHi8(bbbbggggrrrraaaa1, bbbbggggrrrraaaa3);
u8x16_t bbbbbbbbgggggggg2 =
simd::InterleaveLo8(bbbbggggrrrraaaa2, bbbbggggrrrraaaa4);
u8x16_t rrrrrrrraaaaaaaa2 =
simd::InterleaveHi8(bbbbggggrrrraaaa2, bbbbggggrrrraaaa4);
u8x16_t bbbbbbbbbbbbbbbb =
simd::InterleaveLo8(bbbbbbbbgggggggg1, bbbbbbbbgggggggg2);
u8x16_t gggggggggggggggg =
simd::InterleaveHi8(bbbbbbbbgggggggg1, bbbbbbbbgggggggg2);
u8x16_t rrrrrrrrrrrrrrrr =
simd::InterleaveLo8(rrrrrrrraaaaaaaa1, rrrrrrrraaaaaaaa2);
u8x16_t aaaaaaaaaaaaaaaa =
simd::InterleaveHi8(rrrrrrrraaaaaaaa1, rrrrrrrraaaaaaaa2);
simd::Store8(&channel0Data[targetIndex], bbbbbbbbbbbbbbbb);
simd::Store8(&channel1Data[targetIndex], gggggggggggggggg);
simd::Store8(&channel2Data[targetIndex], rrrrrrrrrrrrrrrr);
simd::Store8(&channel3Data[targetIndex], aaaaaaaaaaaaaaaa);
}
}
}
template <typename u8x16_t>
static void CombineColorChannels_SIMD(
const IntSize& size, int32_t resultStride, uint8_t* resultData,
int32_t channelStride, uint8_t* channel0Data, uint8_t* channel1Data,
uint8_t* channel2Data, uint8_t* channel3Data) {
for (int32_t y = 0; y < size.height; y++) {
for (int32_t x = 0; x < size.width; x += 16) {
// Process 16 pixels at a time.
int32_t resultIndex = y * resultStride + 4 * x;
int32_t channelIndex = y * channelStride + x;
u8x16_t bbbbbbbbbbbbbbbb =
simd::Load8<u8x16_t>(&channel0Data[channelIndex]);
u8x16_t gggggggggggggggg =
simd::Load8<u8x16_t>(&channel1Data[channelIndex]);
u8x16_t rrrrrrrrrrrrrrrr =
simd::Load8<u8x16_t>(&channel2Data[channelIndex]);
u8x16_t aaaaaaaaaaaaaaaa =
simd::Load8<u8x16_t>(&channel3Data[channelIndex]);
u8x16_t brbrbrbrbrbrbrbr1 =
simd::InterleaveLo8(bbbbbbbbbbbbbbbb, rrrrrrrrrrrrrrrr);
u8x16_t brbrbrbrbrbrbrbr2 =
simd::InterleaveHi8(bbbbbbbbbbbbbbbb, rrrrrrrrrrrrrrrr);
u8x16_t gagagagagagagaga1 =
simd::InterleaveLo8(gggggggggggggggg, aaaaaaaaaaaaaaaa);
u8x16_t gagagagagagagaga2 =
simd::InterleaveHi8(gggggggggggggggg, aaaaaaaaaaaaaaaa);
u8x16_t bgrabgrabgrabgra1 =
simd::InterleaveLo8(brbrbrbrbrbrbrbr1, gagagagagagagaga1);
u8x16_t bgrabgrabgrabgra2 =
simd::InterleaveHi8(brbrbrbrbrbrbrbr1, gagagagagagagaga1);
u8x16_t bgrabgrabgrabgra3 =
simd::InterleaveLo8(brbrbrbrbrbrbrbr2, gagagagagagagaga2);
u8x16_t bgrabgrabgrabgra4 =
simd::InterleaveHi8(brbrbrbrbrbrbrbr2, gagagagagagagaga2);
simd::Store8(&resultData[resultIndex], bgrabgrabgrabgra1);
if (4 * (x + 4) < resultStride) {
simd::Store8(&resultData[resultIndex + 4 * 4], bgrabgrabgrabgra2);
}
if (4 * (x + 8) < resultStride) {
simd::Store8(&resultData[resultIndex + 8 * 4], bgrabgrabgrabgra3);
}
if (4 * (x + 12) < resultStride) {
simd::Store8(&resultData[resultIndex + 12 * 4], bgrabgrabgrabgra4);
}
}
}
}
template <typename i32x4_t, typename u16x8_t, typename u8x16_t>
static void DoPremultiplicationCalculation_SIMD(const IntSize& aSize,
uint8_t* aTargetData,
int32_t aTargetStride,
uint8_t* aSourceData,
int32_t aSourceStride) {
const u8x16_t alphaMask = simd::From8<u8x16_t>(0, 0, 0, 0xff, 0, 0, 0, 0xff,
0, 0, 0, 0xff, 0, 0, 0, 0xff);
for (int32_t y = 0; y < aSize.height; y++) {
for (int32_t x = 0; x < aSize.width; x += 4) {
int32_t inputIndex = y * aSourceStride + 4 * x;
int32_t targetIndex = y * aTargetStride + 4 * x;
u8x16_t p1234 = simd::Load8<u8x16_t>(&aSourceData[inputIndex]);
u16x8_t p12 = simd::UnpackLo8x8ToU16x8(p1234);
u16x8_t p34 = simd::UnpackHi8x8ToU16x8(p1234);
// Multiply all components with alpha.
p12 = simd::Mul16(p12, simd::Splat16<3, 3>(p12));
p34 = simd::Mul16(p34, simd::Splat16<3, 3>(p34));
// Divide by 255 and pack.
u8x16_t result = simd::PackAndSaturate16To8(
simd::FastDivideBy255_16(p12), simd::FastDivideBy255_16(p34));
// Get the original alpha channel value back from p1234.
result = simd::Pick(alphaMask, result, p1234);
simd::Store8(&aTargetData[targetIndex], result);
}
}
}
// We use a table of precomputed factors for unpremultiplying.
// We want to compute round(r / (alpha / 255.0f)) for arbitrary values of
// r and alpha in constant time. This table of factors has the property that
// (r * sAlphaFactors[alpha] + 128) >> 8 roughly gives the result we want (with
// a maximum deviation of 1).
//
// sAlphaFactors[alpha] == round(255.0 * (1 << 8) / alpha)
//
// This table has been created using the python code
// ", ".join("%d" % (round(255.0 * 256 / alpha) if alpha > 0 else 0) for alpha
// in range(256))
static const uint16_t sAlphaFactors[256] = {
0, 65280, 32640, 21760, 16320, 13056, 10880, 9326, 8160, 7253, 6528,
5935, 5440, 5022, 4663, 4352, 4080, 3840, 3627, 3436, 3264, 3109,
2967, 2838, 2720, 2611, 2511, 2418, 2331, 2251, 2176, 2106, 2040,
1978, 1920, 1865, 1813, 1764, 1718, 1674, 1632, 1592, 1554, 1518,
1484, 1451, 1419, 1389, 1360, 1332, 1306, 1280, 1255, 1232, 1209,
1187, 1166, 1145, 1126, 1106, 1088, 1070, 1053, 1036, 1020, 1004,
989, 974, 960, 946, 933, 919, 907, 894, 882, 870, 859,
848, 837, 826, 816, 806, 796, 787, 777, 768, 759, 750,
742, 733, 725, 717, 710, 702, 694, 687, 680, 673, 666,
659, 653, 646, 640, 634, 628, 622, 616, 610, 604, 599,
593, 588, 583, 578, 573, 568, 563, 558, 553, 549, 544,
540, 535, 531, 526, 522, 518, 514, 510, 506, 502, 498,
495, 491, 487, 484, 480, 476, 473, 470, 466, 463, 460,
457, 453, 450, 447, 444, 441, 438, 435, 432, 429, 427,
424, 421, 418, 416, 413, 411, 408, 405, 403, 400, 398,
396, 393, 391, 389, 386, 384, 382, 380, 377, 375, 373,
371, 369, 367, 365, 363, 361, 359, 357, 355, 353, 351,
349, 347, 345, 344, 342, 340, 338, 336, 335, 333, 331,
330, 328, 326, 325, 323, 322, 320, 318, 317, 315, 314,
312, 311, 309, 308, 306, 305, 304, 302, 301, 299, 298,
297, 295, 294, 293, 291, 290, 289, 288, 286, 285, 284,
283, 281, 280, 279, 278, 277, 275, 274, 273, 272, 271,
270, 269, 268, 266, 265, 264, 263, 262, 261, 260, 259,
258, 257, 256};
template <typename u16x8_t, typename u8x16_t>
static void DoUnpremultiplicationCalculation_SIMD(const IntSize& aSize,
uint8_t* aTargetData,
int32_t aTargetStride,
uint8_t* aSourceData,
int32_t aSourceStride) {
for (int32_t y = 0; y < aSize.height; y++) {
for (int32_t x = 0; x < aSize.width; x += 4) {
int32_t inputIndex = y * aSourceStride + 4 * x;
int32_t targetIndex = y * aTargetStride + 4 * x;
union {
u8x16_t p1234;
uint8_t u8[4][4];
};
p1234 = simd::Load8<u8x16_t>(&aSourceData[inputIndex]);
// Prepare the alpha factors.
uint16_t aF1 = sAlphaFactors[u8[0][B8G8R8A8_COMPONENT_BYTEOFFSET_A]];
uint16_t aF2 = sAlphaFactors[u8[1][B8G8R8A8_COMPONENT_BYTEOFFSET_A]];
uint16_t aF3 = sAlphaFactors[u8[2][B8G8R8A8_COMPONENT_BYTEOFFSET_A]];
uint16_t aF4 = sAlphaFactors[u8[3][B8G8R8A8_COMPONENT_BYTEOFFSET_A]];
u16x8_t aF12 =
simd::FromU16<u16x8_t>(aF1, aF1, aF1, 1 << 8, aF2, aF2, aF2, 1 << 8);
u16x8_t aF34 =
simd::FromU16<u16x8_t>(aF3, aF3, aF3, 1 << 8, aF4, aF4, aF4, 1 << 8);
u16x8_t p12 = simd::UnpackLo8x8ToU16x8(p1234);
u16x8_t p34 = simd::UnpackHi8x8ToU16x8(p1234);
// Multiply with the alpha factors, add 128 for rounding, and shift right
// by 8 bits.
p12 = simd::ShiftRight16<8>(
simd::Add16(simd::Mul16(p12, aF12), simd::FromU16<u16x8_t>(128)));
p34 = simd::ShiftRight16<8>(
simd::Add16(simd::Mul16(p34, aF34), simd::FromU16<u16x8_t>(128)));
u8x16_t result = simd::PackAndSaturate16To8(p12, p34);
simd::Store8(&aTargetData[targetIndex], result);
}
}
}
template <typename u16x8_t, typename u8x16_t>
static void DoOpacityCalculation_SIMD(const IntSize& aSize,
uint8_t* aTargetData,
int32_t aTargetStride,
uint8_t* aSourceData,
int32_t aSourceStride, Float aOpacity) {
uint8_t alphaValue = uint8_t(roundf(255.f * aOpacity));
u16x8_t alphaValues =
simd::FromU16<u16x8_t>(alphaValue, alphaValue, alphaValue, alphaValue,
alphaValue, alphaValue, alphaValue, alphaValue);
for (int32_t y = 0; y < aSize.height; y++) {
for (int32_t x = 0; x < aSize.width; x += 4) {
int32_t inputIndex = y * aSourceStride + 4 * x;
int32_t targetIndex = y * aTargetStride + 4 * x;
u8x16_t p1234 = simd::Load8<u8x16_t>(&aSourceData[inputIndex]);
u16x8_t p12 = simd::UnpackLo8x8ToU16x8(p1234);
u16x8_t p34 = simd::UnpackHi8x8ToU16x8(p1234);
// Multiply all components with alpha.
p12 = simd::Mul16(p12, alphaValues);
p34 = simd::Mul16(p34, alphaValues);
// Divide by 255 and pack.
u8x16_t result = simd::PackAndSaturate16To8(simd::ShiftRight16<8>(p12),
simd::ShiftRight16<8>(p34));
simd::Store8(&aTargetData[targetIndex], result);
}
}
}
template <typename f32x4_t, typename i32x4_t, typename u8x16_t>
static already_AddRefed<DataSourceSurface> RenderTurbulence_SIMD(
const IntSize& aSize, const Point& aOffset, const Size& aBaseFrequency,
int32_t aSeed, int aNumOctaves, TurbulenceType aType, bool aStitch,
const Rect& aTileRect) {
#define RETURN_TURBULENCE(Type, Stitch) \
SVGTurbulenceRenderer<Type, Stitch, f32x4_t, i32x4_t, u8x16_t> renderer( \
aBaseFrequency, aSeed, aNumOctaves, aTileRect); \
return renderer.Render(aSize, aOffset);
switch (aType) {
case TURBULENCE_TYPE_TURBULENCE: {
if (aStitch) {
RETURN_TURBULENCE(TURBULENCE_TYPE_TURBULENCE, true);
}
RETURN_TURBULENCE(TURBULENCE_TYPE_TURBULENCE, false);
}
case TURBULENCE_TYPE_FRACTAL_NOISE: {
if (aStitch) {
RETURN_TURBULENCE(TURBULENCE_TYPE_FRACTAL_NOISE, true);
}
RETURN_TURBULENCE(TURBULENCE_TYPE_FRACTAL_NOISE, false);
}
}
return nullptr;
#undef RETURN_TURBULENCE
}
// k1 * in1 * in2 + k2 * in1 + k3 * in2 + k4
template <typename i32x4_t, typename i16x8_t>
static MOZ_ALWAYS_INLINE i16x8_t ArithmeticCombineTwoPixels(
i16x8_t in1, i16x8_t in2, const i16x8_t& k1And4, const i16x8_t& k2And3) {
// Calculate input product: inProd = (in1 * in2) / 255.
i32x4_t inProd_1, inProd_2;
simd::Mul16x4x2x2To32x4x2(in1, in2, inProd_1, inProd_2);
i16x8_t inProd = simd::PackAndSaturate32To16(simd::FastDivideBy255(inProd_1),
simd::FastDivideBy255(inProd_2));
// Calculate k1 * ((in1 * in2) / 255) + (k4/128) * 128
i16x8_t oneTwentyEight = simd::FromI16<i16x8_t>(128);
i16x8_t inProd1AndOneTwentyEight =
simd::InterleaveLo16(inProd, oneTwentyEight);
i16x8_t inProd2AndOneTwentyEight =
simd::InterleaveHi16(inProd, oneTwentyEight);
i32x4_t inProdTimesK1PlusK4_1 =
simd::MulAdd16x8x2To32x4(k1And4, inProd1AndOneTwentyEight);
i32x4_t inProdTimesK1PlusK4_2 =
simd::MulAdd16x8x2To32x4(k1And4, inProd2AndOneTwentyEight);
// Calculate k2 * in1 + k3 * in2
i16x8_t in12_1 = simd::InterleaveLo16(in1, in2);
i16x8_t in12_2 = simd::InterleaveHi16(in1, in2);
i32x4_t inTimesK2K3_1 = simd::MulAdd16x8x2To32x4(k2And3, in12_1);
i32x4_t inTimesK2K3_2 = simd::MulAdd16x8x2To32x4(k2And3, in12_2);
// Sum everything up and truncate the fractional part.
i32x4_t result_1 =
simd::ShiftRight32<7>(simd::Add32(inProdTimesK1PlusK4_1, inTimesK2K3_1));
i32x4_t result_2 =
simd::ShiftRight32<7>(simd::Add32(inProdTimesK1PlusK4_2, inTimesK2K3_2));
return simd::PackAndSaturate32To16(result_1, result_2);
}
template <typename i32x4_t, typename i16x8_t, typename u8x16_t>
static void ApplyArithmeticCombine_SIMD(
const DataSourceSurface::ScopedMap& aInputMap1,
const DataSourceSurface::ScopedMap& aInputMap2,
const DataSourceSurface::ScopedMap& aOutputMap, const IntSize& aSize,
Float aK1, Float aK2, Float aK3, Float aK4) {
uint8_t* source1Data = aInputMap1.GetData();
uint8_t* source2Data = aInputMap2.GetData();
uint8_t* targetData = aOutputMap.GetData();
uint32_t source1Stride = aInputMap1.GetStride();
uint32_t source2Stride = aInputMap2.GetStride();
uint32_t targetStride = aOutputMap.GetStride();
// The arithmetic combine filter does the following calculation:
// result = k1 * in1 * in2 + k2 * in1 + k3 * in2 + k4
//
// Or, with in1/2 integers between 0 and 255:
// result = (k1 * in1 * in2) / 255 + k2 * in1 + k3 * in2 + k4 * 255
//
// We want the whole calculation to happen in integer, with 16-bit factors.
// So we convert our factors to fixed-point with precision 1.8.7.
// K4 is premultiplied with 255, and it will be multiplied with 128 later
// during the actual calculation, because premultiplying it with 255 * 128
// would overflow int16.
i16x8_t k1 = simd::FromI16<i16x8_t>(
int16_t(floorf(std::min(std::max(aK1, -255.0f), 255.0f) * 128 + 0.5f)));
i16x8_t k2 = simd::FromI16<i16x8_t>(
int16_t(floorf(std::min(std::max(aK2, -255.0f), 255.0f) * 128 + 0.5f)));
i16x8_t k3 = simd::FromI16<i16x8_t>(
int16_t(floorf(std::min(std::max(aK3, -255.0f), 255.0f) * 128 + 0.5f)));
i16x8_t k4 = simd::FromI16<i16x8_t>(
int16_t(floorf(std::min(std::max(aK4, -128.0f), 128.0f) * 255 + 0.5f)));
i16x8_t k1And4 = simd::InterleaveLo16(k1, k4);
i16x8_t k2And3 = simd::InterleaveLo16(k2, k3);
for (int32_t y = 0; y < aSize.height; y++) {
for (int32_t x = 0; x < aSize.width; x += 4) {
uint32_t source1Index = y * source1Stride + 4 * x;
uint32_t source2Index = y * source2Stride + 4 * x;
uint32_t targetIndex = y * targetStride + 4 * x;
// Load and unpack.
u8x16_t in1 = simd::Load8<u8x16_t>(&source1Data[source1Index]);
u8x16_t in2 = simd::Load8<u8x16_t>(&source2Data[source2Index]);
i16x8_t in1_12 = simd::UnpackLo8x8ToI16x8(in1);
i16x8_t in1_34 = simd::UnpackHi8x8ToI16x8(in1);
i16x8_t in2_12 = simd::UnpackLo8x8ToI16x8(in2);
i16x8_t in2_34 = simd::UnpackHi8x8ToI16x8(in2);
// Multiply and add.
i16x8_t result_12 = ArithmeticCombineTwoPixels<i32x4_t, i16x8_t>(
in1_12, in2_12, k1And4, k2And3);
i16x8_t result_34 = ArithmeticCombineTwoPixels<i32x4_t, i16x8_t>(
in1_34, in2_34, k1And4, k2And3);
// Pack and store.
simd::Store8(&targetData[targetIndex],
simd::PackAndSaturate16To8(result_12, result_34));
}
}
}
template <typename i32x4_t, typename i16x8_t, typename u8x16_t>
static already_AddRefed<DataSourceSurface> ApplyArithmeticCombine_SIMD(
DataSourceSurface* aInput1, DataSourceSurface* aInput2, Float aK1,
Float aK2, Float aK3, Float aK4) {
IntSize size = aInput1->GetSize();
RefPtr<DataSourceSurface> target =
Factory::CreateDataSourceSurface(size, SurfaceFormat::B8G8R8A8);
if (!target) {
return nullptr;
}
DataSourceSurface::ScopedMap inputMap1(aInput1, DataSourceSurface::READ);
DataSourceSurface::ScopedMap outputMap(target, DataSourceSurface::READ_WRITE);
if (aInput1->Equals(aInput2)) {
ApplyArithmeticCombine_SIMD<i32x4_t, i16x8_t, u8x16_t>(
inputMap1, inputMap1, outputMap, size, aK1, aK2, aK3, aK4);
} else {
DataSourceSurface::ScopedMap inputMap2(aInput2, DataSourceSurface::READ);
ApplyArithmeticCombine_SIMD<i32x4_t, i16x8_t, u8x16_t>(
inputMap1, inputMap2, outputMap, size, aK1, aK2, aK3, aK4);
}
return target.forget();
}
} // namespace gfx
} // namespace mozilla