/* * 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 #elif defined(SK_ARM_HAS_NEON) #include #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(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 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(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(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(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(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(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(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(outRow[0])) = _mm_cvtsi128_si32(accum0); *(reinterpret_cast(outRow[1])) = _mm_cvtsi128_si32(accum1); *(reinterpret_cast(outRow[2])) = _mm_cvtsi128_si32(accum2); *(reinterpret_cast(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 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( &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( &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(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(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(outRow[0]), vreinterpret_u32_u8(res0), 0); vst1_lane_u32(reinterpret_cast(outRow[1]), vreinterpret_u32_u8(res1), 0); vst1_lane_u32(reinterpret_cast(outRow[2]), vreinterpret_u32_u8(res2), 0); vst1_lane_u32(reinterpret_cast(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 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(outRow), vreinterpretq_u32_u8(accum8), 0); break; case 2: vst1_u32(reinterpret_cast(outRow), vreinterpret_u32_u8(vget_low_u8(accum8))); break; case 3: vst1_u32(reinterpret_cast(outRow), vreinterpret_u32_u8(vget_low_u8(accum8))); vst1q_lane_u32(reinterpret_cast(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(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 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 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(srcData, filter, outRow); } else { ConvolveHorizontally(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(filterValues, filterLength, sourceDataRows, pixelWidth, outRow); } else { ConvolveVertically(filterValues, filterLength, sourceDataRows, pixelWidth, outRow); } } } // namespace SK_OPTS_NS #endif//SkBitmapFilter_opts_DEFINED