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472 lines
20 KiB
C++
472 lines
20 KiB
C++
// Copyright (c) 2006-2011 The Chromium Authors. All rights reserved.
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//
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// Redistribution and use in source and binary forms, with or without
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// modification, are permitted provided that the following conditions
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// are met:
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// * Redistributions of source code must retain the above copyright
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// notice, this list of conditions and the following disclaimer.
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// * Redistributions in binary form must reproduce the above copyright
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// notice, this list of conditions and the following disclaimer in
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// the documentation and/or other materials provided with the
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// distribution.
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// * Neither the name of Google, Inc. nor the names of its contributors
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// may be used to endorse or promote products derived from this
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// software without specific prior written permission.
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//
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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// "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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// LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
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// FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
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// COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
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// INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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// BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS
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// OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED
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// AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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// OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT
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// OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
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// SUCH DAMAGE.
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#include "convolver.h"
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#include <algorithm>
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#include "skia/include/core/SkTypes.h"
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#include <emmintrin.h> // ARCH_CPU_X86_FAMILY was defined in build/config.h
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namespace skia {
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// Convolves horizontally along a single row. The row data is given in
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// |src_data| and continues for the num_values() of the filter.
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void ConvolveHorizontally_SSE2(const unsigned char* src_data,
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const ConvolutionFilter1D& filter,
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unsigned char* out_row) {
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int num_values = filter.num_values();
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int filter_offset, filter_length;
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__m128i zero = _mm_setzero_si128();
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__m128i mask[4];
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// |mask| will be used to decimate all extra filter coefficients that are
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// loaded by SIMD when |filter_length| is not divisible by 4.
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// mask[0] is not used in following algorithm.
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mask[1] = _mm_set_epi16(0, 0, 0, 0, 0, 0, 0, -1);
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mask[2] = _mm_set_epi16(0, 0, 0, 0, 0, 0, -1, -1);
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mask[3] = _mm_set_epi16(0, 0, 0, 0, 0, -1, -1, -1);
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// Output one pixel each iteration, calculating all channels (RGBA) together.
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for (int out_x = 0; out_x < num_values; out_x++) {
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const ConvolutionFilter1D::Fixed* filter_values =
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filter.FilterForValue(out_x, &filter_offset, &filter_length);
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__m128i accum = _mm_setzero_si128();
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// Compute the first pixel in this row that the filter affects. It will
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// touch |filter_length| pixels (4 bytes each) after this.
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const __m128i* row_to_filter =
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reinterpret_cast<const __m128i*>(&src_data[filter_offset << 2]);
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// We will load and accumulate with four coefficients per iteration.
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for (int filter_x = 0; filter_x < filter_length >> 2; filter_x++) {
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// Load 4 coefficients => duplicate 1st and 2nd of them for all channels.
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__m128i coeff, coeff16;
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// [16] xx xx xx xx c3 c2 c1 c0
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coeff = _mm_loadl_epi64(reinterpret_cast<const __m128i*>(filter_values));
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// [16] xx xx xx xx c1 c1 c0 c0
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coeff16 = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(1, 1, 0, 0));
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// [16] c1 c1 c1 c1 c0 c0 c0 c0
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coeff16 = _mm_unpacklo_epi16(coeff16, coeff16);
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// Load four pixels => unpack the first two pixels to 16 bits =>
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// multiply with coefficients => accumulate the convolution result.
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// [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
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__m128i src8 = _mm_loadu_si128(row_to_filter);
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// [16] a1 b1 g1 r1 a0 b0 g0 r0
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__m128i src16 = _mm_unpacklo_epi8(src8, zero);
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__m128i mul_hi = _mm_mulhi_epi16(src16, coeff16);
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__m128i mul_lo = _mm_mullo_epi16(src16, coeff16);
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// [32] a0*c0 b0*c0 g0*c0 r0*c0
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__m128i t = _mm_unpacklo_epi16(mul_lo, mul_hi);
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accum = _mm_add_epi32(accum, t);
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// [32] a1*c1 b1*c1 g1*c1 r1*c1
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t = _mm_unpackhi_epi16(mul_lo, mul_hi);
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accum = _mm_add_epi32(accum, t);
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// Duplicate 3rd and 4th coefficients for all channels =>
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// unpack the 3rd and 4th pixels to 16 bits => multiply with coefficients
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// => accumulate the convolution results.
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// [16] xx xx xx xx c3 c3 c2 c2
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coeff16 = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(3, 3, 2, 2));
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// [16] c3 c3 c3 c3 c2 c2 c2 c2
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coeff16 = _mm_unpacklo_epi16(coeff16, coeff16);
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// [16] a3 g3 b3 r3 a2 g2 b2 r2
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src16 = _mm_unpackhi_epi8(src8, zero);
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mul_hi = _mm_mulhi_epi16(src16, coeff16);
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mul_lo = _mm_mullo_epi16(src16, coeff16);
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// [32] a2*c2 b2*c2 g2*c2 r2*c2
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t = _mm_unpacklo_epi16(mul_lo, mul_hi);
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accum = _mm_add_epi32(accum, t);
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// [32] a3*c3 b3*c3 g3*c3 r3*c3
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t = _mm_unpackhi_epi16(mul_lo, mul_hi);
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accum = _mm_add_epi32(accum, t);
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// Advance the pixel and coefficients pointers.
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row_to_filter += 1;
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filter_values += 4;
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}
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// When |filter_length| is not divisible by 4, we need to decimate some of
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// the filter coefficient that was loaded incorrectly to zero; Other than
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// that the algorithm is same with above, exceot that the 4th pixel will be
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// always absent.
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int r = filter_length&3;
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if (r) {
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// Note: filter_values must be padded to align_up(filter_offset, 8).
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__m128i coeff, coeff16;
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coeff = _mm_loadl_epi64(reinterpret_cast<const __m128i*>(filter_values));
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// Mask out extra filter taps.
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coeff = _mm_and_si128(coeff, mask[r]);
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coeff16 = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(1, 1, 0, 0));
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coeff16 = _mm_unpacklo_epi16(coeff16, coeff16);
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// Note: line buffer must be padded to align_up(filter_offset, 16).
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// We resolve this by use C-version for the last horizontal line.
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__m128i src8 = _mm_loadu_si128(row_to_filter);
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__m128i src16 = _mm_unpacklo_epi8(src8, zero);
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__m128i mul_hi = _mm_mulhi_epi16(src16, coeff16);
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__m128i mul_lo = _mm_mullo_epi16(src16, coeff16);
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__m128i t = _mm_unpacklo_epi16(mul_lo, mul_hi);
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accum = _mm_add_epi32(accum, t);
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t = _mm_unpackhi_epi16(mul_lo, mul_hi);
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accum = _mm_add_epi32(accum, t);
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src16 = _mm_unpackhi_epi8(src8, zero);
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coeff16 = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(3, 3, 2, 2));
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coeff16 = _mm_unpacklo_epi16(coeff16, coeff16);
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mul_hi = _mm_mulhi_epi16(src16, coeff16);
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mul_lo = _mm_mullo_epi16(src16, coeff16);
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t = _mm_unpacklo_epi16(mul_lo, mul_hi);
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accum = _mm_add_epi32(accum, t);
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}
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// Shift right for fixed point implementation.
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accum = _mm_srai_epi32(accum, ConvolutionFilter1D::kShiftBits);
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// Packing 32 bits |accum| to 16 bits per channel (signed saturation).
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accum = _mm_packs_epi32(accum, zero);
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// Packing 16 bits |accum| to 8 bits per channel (unsigned saturation).
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accum = _mm_packus_epi16(accum, zero);
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// Store the pixel value of 32 bits.
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*(reinterpret_cast<int*>(out_row)) = _mm_cvtsi128_si32(accum);
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out_row += 4;
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}
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}
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// Convolves horizontally along four rows. The row data is given in
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// |src_data| and continues for the num_values() of the filter.
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// The algorithm is almost same as |ConvolveHorizontally_SSE2|. Please
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// refer to that function for detailed comments.
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void ConvolveHorizontally4_SSE2(const unsigned char* src_data[4],
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const ConvolutionFilter1D& filter,
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unsigned char* out_row[4]) {
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int num_values = filter.num_values();
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int filter_offset, filter_length;
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__m128i zero = _mm_setzero_si128();
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__m128i mask[4];
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// |mask| will be used to decimate all extra filter coefficients that are
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// loaded by SIMD when |filter_length| is not divisible by 4.
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// mask[0] is not used in following algorithm.
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mask[1] = _mm_set_epi16(0, 0, 0, 0, 0, 0, 0, -1);
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mask[2] = _mm_set_epi16(0, 0, 0, 0, 0, 0, -1, -1);
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mask[3] = _mm_set_epi16(0, 0, 0, 0, 0, -1, -1, -1);
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// Output one pixel each iteration, calculating all channels (RGBA) together.
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for (int out_x = 0; out_x < num_values; out_x++) {
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const ConvolutionFilter1D::Fixed* filter_values =
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filter.FilterForValue(out_x, &filter_offset, &filter_length);
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// four pixels in a column per iteration.
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__m128i accum0 = _mm_setzero_si128();
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__m128i accum1 = _mm_setzero_si128();
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__m128i accum2 = _mm_setzero_si128();
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__m128i accum3 = _mm_setzero_si128();
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int start = (filter_offset<<2);
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// We will load and accumulate with four coefficients per iteration.
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for (int filter_x = 0; filter_x < (filter_length >> 2); filter_x++) {
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__m128i coeff, coeff16lo, coeff16hi;
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// [16] xx xx xx xx c3 c2 c1 c0
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coeff = _mm_loadl_epi64(reinterpret_cast<const __m128i*>(filter_values));
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// [16] xx xx xx xx c1 c1 c0 c0
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coeff16lo = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(1, 1, 0, 0));
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// [16] c1 c1 c1 c1 c0 c0 c0 c0
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coeff16lo = _mm_unpacklo_epi16(coeff16lo, coeff16lo);
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// [16] xx xx xx xx c3 c3 c2 c2
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coeff16hi = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(3, 3, 2, 2));
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// [16] c3 c3 c3 c3 c2 c2 c2 c2
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coeff16hi = _mm_unpacklo_epi16(coeff16hi, coeff16hi);
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__m128i src8, src16, mul_hi, mul_lo, t;
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#define ITERATION(src, accum) \
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src8 = _mm_loadu_si128(reinterpret_cast<const __m128i*>(src)); \
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src16 = _mm_unpacklo_epi8(src8, zero); \
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mul_hi = _mm_mulhi_epi16(src16, coeff16lo); \
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mul_lo = _mm_mullo_epi16(src16, coeff16lo); \
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t = _mm_unpacklo_epi16(mul_lo, mul_hi); \
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accum = _mm_add_epi32(accum, t); \
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t = _mm_unpackhi_epi16(mul_lo, mul_hi); \
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accum = _mm_add_epi32(accum, t); \
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src16 = _mm_unpackhi_epi8(src8, zero); \
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mul_hi = _mm_mulhi_epi16(src16, coeff16hi); \
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mul_lo = _mm_mullo_epi16(src16, coeff16hi); \
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t = _mm_unpacklo_epi16(mul_lo, mul_hi); \
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accum = _mm_add_epi32(accum, t); \
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t = _mm_unpackhi_epi16(mul_lo, mul_hi); \
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accum = _mm_add_epi32(accum, t)
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ITERATION(src_data[0] + start, accum0);
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ITERATION(src_data[1] + start, accum1);
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ITERATION(src_data[2] + start, accum2);
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ITERATION(src_data[3] + start, accum3);
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start += 16;
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filter_values += 4;
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}
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int r = filter_length & 3;
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if (r) {
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// Note: filter_values must be padded to align_up(filter_offset, 8);
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__m128i coeff;
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coeff = _mm_loadl_epi64(reinterpret_cast<const __m128i*>(filter_values));
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// Mask out extra filter taps.
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coeff = _mm_and_si128(coeff, mask[r]);
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__m128i coeff16lo = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(1, 1, 0, 0));
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/* c1 c1 c1 c1 c0 c0 c0 c0 */
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coeff16lo = _mm_unpacklo_epi16(coeff16lo, coeff16lo);
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__m128i coeff16hi = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(3, 3, 2, 2));
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coeff16hi = _mm_unpacklo_epi16(coeff16hi, coeff16hi);
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__m128i src8, src16, mul_hi, mul_lo, t;
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ITERATION(src_data[0] + start, accum0);
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ITERATION(src_data[1] + start, accum1);
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ITERATION(src_data[2] + start, accum2);
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ITERATION(src_data[3] + start, accum3);
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}
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accum0 = _mm_srai_epi32(accum0, ConvolutionFilter1D::kShiftBits);
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accum0 = _mm_packs_epi32(accum0, zero);
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accum0 = _mm_packus_epi16(accum0, zero);
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accum1 = _mm_srai_epi32(accum1, ConvolutionFilter1D::kShiftBits);
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accum1 = _mm_packs_epi32(accum1, zero);
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accum1 = _mm_packus_epi16(accum1, zero);
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accum2 = _mm_srai_epi32(accum2, ConvolutionFilter1D::kShiftBits);
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accum2 = _mm_packs_epi32(accum2, zero);
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accum2 = _mm_packus_epi16(accum2, zero);
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accum3 = _mm_srai_epi32(accum3, ConvolutionFilter1D::kShiftBits);
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accum3 = _mm_packs_epi32(accum3, zero);
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accum3 = _mm_packus_epi16(accum3, zero);
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*(reinterpret_cast<int*>(out_row[0])) = _mm_cvtsi128_si32(accum0);
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*(reinterpret_cast<int*>(out_row[1])) = _mm_cvtsi128_si32(accum1);
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*(reinterpret_cast<int*>(out_row[2])) = _mm_cvtsi128_si32(accum2);
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*(reinterpret_cast<int*>(out_row[3])) = _mm_cvtsi128_si32(accum3);
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out_row[0] += 4;
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out_row[1] += 4;
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out_row[2] += 4;
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out_row[3] += 4;
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}
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}
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// Does vertical convolution to produce one output row. The filter values and
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// length are given in the first two parameters. These are applied to each
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// of the rows pointed to in the |source_data_rows| array, with each row
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// being |pixel_width| wide.
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//
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// The output must have room for |pixel_width * 4| bytes.
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template<bool has_alpha>
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void ConvolveVertically_SSE2_impl(const ConvolutionFilter1D::Fixed* filter_values,
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int filter_length,
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unsigned char* const* source_data_rows,
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int pixel_width,
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unsigned char* out_row) {
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int width = pixel_width & ~3;
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__m128i zero = _mm_setzero_si128();
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__m128i accum0, accum1, accum2, accum3, coeff16;
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const __m128i* src;
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// Output four pixels per iteration (16 bytes).
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for (int out_x = 0; out_x < width; out_x += 4) {
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// Accumulated result for each pixel. 32 bits per RGBA channel.
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accum0 = _mm_setzero_si128();
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accum1 = _mm_setzero_si128();
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accum2 = _mm_setzero_si128();
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accum3 = _mm_setzero_si128();
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// Convolve with one filter coefficient per iteration.
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for (int filter_y = 0; filter_y < filter_length; filter_y++) {
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// Duplicate the filter coefficient 8 times.
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// [16] cj cj cj cj cj cj cj cj
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coeff16 = _mm_set1_epi16(filter_values[filter_y]);
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// Load four pixels (16 bytes) together.
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// [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
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src = reinterpret_cast<const __m128i*>(
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&source_data_rows[filter_y][out_x << 2]);
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__m128i src8 = _mm_loadu_si128(src);
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// Unpack 1st and 2nd pixels from 8 bits to 16 bits for each channels =>
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// multiply with current coefficient => accumulate the result.
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// [16] a1 b1 g1 r1 a0 b0 g0 r0
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__m128i src16 = _mm_unpacklo_epi8(src8, zero);
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__m128i mul_hi = _mm_mulhi_epi16(src16, coeff16);
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__m128i mul_lo = _mm_mullo_epi16(src16, coeff16);
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// [32] a0 b0 g0 r0
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__m128i t = _mm_unpacklo_epi16(mul_lo, mul_hi);
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accum0 = _mm_add_epi32(accum0, t);
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// [32] a1 b1 g1 r1
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t = _mm_unpackhi_epi16(mul_lo, mul_hi);
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accum1 = _mm_add_epi32(accum1, t);
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// Unpack 3rd and 4th pixels from 8 bits to 16 bits for each channels =>
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// multiply with current coefficient => accumulate the result.
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// [16] a3 b3 g3 r3 a2 b2 g2 r2
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src16 = _mm_unpackhi_epi8(src8, zero);
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mul_hi = _mm_mulhi_epi16(src16, coeff16);
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mul_lo = _mm_mullo_epi16(src16, coeff16);
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// [32] a2 b2 g2 r2
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t = _mm_unpacklo_epi16(mul_lo, mul_hi);
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accum2 = _mm_add_epi32(accum2, t);
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// [32] a3 b3 g3 r3
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t = _mm_unpackhi_epi16(mul_lo, mul_hi);
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accum3 = _mm_add_epi32(accum3, t);
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}
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// Shift right for fixed point implementation.
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accum0 = _mm_srai_epi32(accum0, ConvolutionFilter1D::kShiftBits);
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accum1 = _mm_srai_epi32(accum1, ConvolutionFilter1D::kShiftBits);
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accum2 = _mm_srai_epi32(accum2, ConvolutionFilter1D::kShiftBits);
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accum3 = _mm_srai_epi32(accum3, ConvolutionFilter1D::kShiftBits);
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// Packing 32 bits |accum| to 16 bits per channel (signed saturation).
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// [16] a1 b1 g1 r1 a0 b0 g0 r0
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accum0 = _mm_packs_epi32(accum0, accum1);
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// [16] a3 b3 g3 r3 a2 b2 g2 r2
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accum2 = _mm_packs_epi32(accum2, accum3);
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// Packing 16 bits |accum| to 8 bits per channel (unsigned saturation).
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// [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
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accum0 = _mm_packus_epi16(accum0, accum2);
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if (has_alpha) {
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// Compute the max(ri, gi, bi) for each pixel.
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// [8] xx a3 b3 g3 xx a2 b2 g2 xx a1 b1 g1 xx a0 b0 g0
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__m128i a = _mm_srli_epi32(accum0, 8);
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// [8] xx xx xx max3 xx xx xx max2 xx xx xx max1 xx xx xx max0
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__m128i b = _mm_max_epu8(a, accum0); // Max of r and g.
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// [8] xx xx a3 b3 xx xx a2 b2 xx xx a1 b1 xx xx a0 b0
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a = _mm_srli_epi32(accum0, 16);
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// [8] xx xx xx max3 xx xx xx max2 xx xx xx max1 xx xx xx max0
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b = _mm_max_epu8(a, b); // Max of r and g and b.
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// [8] max3 00 00 00 max2 00 00 00 max1 00 00 00 max0 00 00 00
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b = _mm_slli_epi32(b, 24);
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// Make sure the value of alpha channel is always larger than maximum
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// value of color channels.
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accum0 = _mm_max_epu8(b, accum0);
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} else {
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// Set value of alpha channels to 0xFF.
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__m128i mask = _mm_set1_epi32(0xff000000);
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accum0 = _mm_or_si128(accum0, mask);
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}
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// Store the convolution result (16 bytes) and advance the pixel pointers.
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_mm_storeu_si128(reinterpret_cast<__m128i*>(out_row), accum0);
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out_row += 16;
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}
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// When the width of the output is not divisible by 4, We need to save one
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// pixel (4 bytes) each time. And also the fourth pixel is always absent.
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if (pixel_width & 3) {
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accum0 = _mm_setzero_si128();
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accum1 = _mm_setzero_si128();
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accum2 = _mm_setzero_si128();
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for (int filter_y = 0; filter_y < filter_length; ++filter_y) {
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coeff16 = _mm_set1_epi16(filter_values[filter_y]);
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// [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
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src = reinterpret_cast<const __m128i*>(
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&source_data_rows[filter_y][width<<2]);
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__m128i src8 = _mm_loadu_si128(src);
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// [16] a1 b1 g1 r1 a0 b0 g0 r0
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__m128i src16 = _mm_unpacklo_epi8(src8, zero);
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__m128i mul_hi = _mm_mulhi_epi16(src16, coeff16);
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__m128i mul_lo = _mm_mullo_epi16(src16, coeff16);
|
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// [32] a0 b0 g0 r0
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__m128i t = _mm_unpacklo_epi16(mul_lo, mul_hi);
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|
accum0 = _mm_add_epi32(accum0, t);
|
|
// [32] a1 b1 g1 r1
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|
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, ConvolutionFilter1D::kShiftBits);
|
|
accum1 = _mm_srai_epi32(accum1, ConvolutionFilter1D::kShiftBits);
|
|
accum2 = _mm_srai_epi32(accum2, ConvolutionFilter1D::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 (has_alpha) {
|
|
// [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 out_x = width; out_x < pixel_width; out_x++) {
|
|
*(reinterpret_cast<int*>(out_row)) = _mm_cvtsi128_si32(accum0);
|
|
accum0 = _mm_srli_si128(accum0, 4);
|
|
out_row += 4;
|
|
}
|
|
}
|
|
}
|
|
|
|
void ConvolveVertically_SSE2(const ConvolutionFilter1D::Fixed* filter_values,
|
|
int filter_length,
|
|
unsigned char* const* source_data_rows,
|
|
int pixel_width,
|
|
unsigned char* out_row, bool has_alpha) {
|
|
if (has_alpha) {
|
|
ConvolveVertically_SSE2_impl<true>(filter_values, filter_length,
|
|
source_data_rows, pixel_width, out_row);
|
|
} else {
|
|
ConvolveVertically_SSE2_impl<false>(filter_values, filter_length,
|
|
source_data_rows, pixel_width, out_row);
|
|
}
|
|
}
|
|
|
|
} // namespace skia
|