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authorMatt A. Tobin <mattatobin@localhost.localdomain>2018-02-02 04:16:08 -0500
committerMatt A. Tobin <mattatobin@localhost.localdomain>2018-02-02 04:16:08 -0500
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Add m-esr52 at 52.6.0
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-rw-r--r--gfx/2d/convolverSSE2.cpp471
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diff --git a/gfx/2d/convolverSSE2.cpp b/gfx/2d/convolverSSE2.cpp
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+// Copyright (c) 2006-2011 The Chromium Authors. All rights reserved.
+//
+// Redistribution and use in source and binary forms, with or without
+// modification, are permitted provided that the following conditions
+// are met:
+// * Redistributions of source code must retain the above copyright
+// notice, this list of conditions and the following disclaimer.
+// * Redistributions in binary form must reproduce the above copyright
+// notice, this list of conditions and the following disclaimer in
+// the documentation and/or other materials provided with the
+// distribution.
+// * Neither the name of Google, Inc. nor the names of its contributors
+// may be used to endorse or promote products derived from this
+// software without specific prior written permission.
+//
+// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+// "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+// LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
+// FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
+// COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
+// INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
+// BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS
+// OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED
+// AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+// OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT
+// OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
+// SUCH DAMAGE.
+
+#include "convolver.h"
+#include <algorithm>
+#include "skia/include/core/SkTypes.h"
+
+#include <emmintrin.h> // ARCH_CPU_X86_FAMILY was defined in build/config.h
+
+namespace skia {
+
+// Convolves horizontally along a single row. The row data is given in
+// |src_data| and continues for the num_values() of the filter.
+void ConvolveHorizontally_SSE2(const unsigned char* src_data,
+ const ConvolutionFilter1D& filter,
+ unsigned char* out_row) {
+ int num_values = filter.num_values();
+
+ int filter_offset, filter_length;
+ __m128i zero = _mm_setzero_si128();
+ __m128i mask[4];
+ // |mask| will be used to decimate all extra filter coefficients that are
+ // loaded by SIMD when |filter_length| is not divisible by 4.
+ // mask[0] is not used in following algorithm.
+ mask[1] = _mm_set_epi16(0, 0, 0, 0, 0, 0, 0, -1);
+ mask[2] = _mm_set_epi16(0, 0, 0, 0, 0, 0, -1, -1);
+ mask[3] = _mm_set_epi16(0, 0, 0, 0, 0, -1, -1, -1);
+
+ // Output one pixel each iteration, calculating all channels (RGBA) together.
+ for (int out_x = 0; out_x < num_values; out_x++) {
+ const ConvolutionFilter1D::Fixed* filter_values =
+ filter.FilterForValue(out_x, &filter_offset, &filter_length);
+
+ __m128i accum = _mm_setzero_si128();
+
+ // Compute the first pixel in this row that the filter affects. It will
+ // touch |filter_length| pixels (4 bytes each) after this.
+ const __m128i* row_to_filter =
+ reinterpret_cast<const __m128i*>(&src_data[filter_offset << 2]);
+
+ // We will load and accumulate with four coefficients per iteration.
+ for (int filter_x = 0; filter_x < filter_length >> 2; filter_x++) {
+
+ // Load 4 coefficients => duplicate 1st and 2nd of them for all channels.
+ __m128i coeff, coeff16;
+ // [16] xx xx xx xx c3 c2 c1 c0
+ coeff = _mm_loadl_epi64(reinterpret_cast<const __m128i*>(filter_values));
+ // [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(row_to_filter);
+ // [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.
+ row_to_filter += 1;
+ filter_values += 4;
+ }
+
+ // When |filter_length| is not divisible by 4, we need to decimate some of
+ // the filter coefficient that was loaded incorrectly to zero; Other than
+ // that the algorithm is same with above, exceot that the 4th pixel will be
+ // always absent.
+ int r = filter_length&3;
+ if (r) {
+ // Note: filter_values must be padded to align_up(filter_offset, 8).
+ __m128i coeff, coeff16;
+ coeff = _mm_loadl_epi64(reinterpret_cast<const __m128i*>(filter_values));
+ // Mask out extra filter taps.
+ coeff = _mm_and_si128(coeff, mask[r]);
+ coeff16 = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(1, 1, 0, 0));
+ coeff16 = _mm_unpacklo_epi16(coeff16, coeff16);
+
+ // Note: line buffer must be padded to align_up(filter_offset, 16).
+ // We resolve this by use C-version for the last horizontal line.
+ __m128i src8 = _mm_loadu_si128(row_to_filter);
+ __m128i src16 = _mm_unpacklo_epi8(src8, zero);
+ __m128i mul_hi = _mm_mulhi_epi16(src16, coeff16);
+ __m128i mul_lo = _mm_mullo_epi16(src16, coeff16);
+ __m128i 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);
+ coeff16 = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(3, 3, 2, 2));
+ coeff16 = _mm_unpacklo_epi16(coeff16, coeff16);
+ mul_hi = _mm_mulhi_epi16(src16, coeff16);
+ mul_lo = _mm_mullo_epi16(src16, coeff16);
+ t = _mm_unpacklo_epi16(mul_lo, mul_hi);
+ accum = _mm_add_epi32(accum, t);
+ }
+
+ // Shift right for fixed point implementation.
+ accum = _mm_srai_epi32(accum, ConvolutionFilter1D::kShiftBits);
+
+ // Packing 32 bits |accum| to 16 bits per channel (signed saturation).
+ accum = _mm_packs_epi32(accum, zero);
+ // Packing 16 bits |accum| to 8 bits per channel (unsigned saturation).
+ accum = _mm_packus_epi16(accum, zero);
+
+ // Store the pixel value of 32 bits.
+ *(reinterpret_cast<int*>(out_row)) = _mm_cvtsi128_si32(accum);
+ out_row += 4;
+ }
+}
+
+// Convolves horizontally along four rows. The row data is given in
+// |src_data| and continues for the num_values() of the filter.
+// The algorithm is almost same as |ConvolveHorizontally_SSE2|. Please
+// refer to that function for detailed comments.
+void ConvolveHorizontally4_SSE2(const unsigned char* src_data[4],
+ const ConvolutionFilter1D& filter,
+ unsigned char* out_row[4]) {
+ int num_values = filter.num_values();
+
+ int filter_offset, filter_length;
+ __m128i zero = _mm_setzero_si128();
+ __m128i mask[4];
+ // |mask| will be used to decimate all extra filter coefficients that are
+ // loaded by SIMD when |filter_length| is not divisible by 4.
+ // mask[0] is not used in following algorithm.
+ mask[1] = _mm_set_epi16(0, 0, 0, 0, 0, 0, 0, -1);
+ mask[2] = _mm_set_epi16(0, 0, 0, 0, 0, 0, -1, -1);
+ mask[3] = _mm_set_epi16(0, 0, 0, 0, 0, -1, -1, -1);
+
+ // Output one pixel each iteration, calculating all channels (RGBA) together.
+ for (int out_x = 0; out_x < num_values; out_x++) {
+ const ConvolutionFilter1D::Fixed* filter_values =
+ filter.FilterForValue(out_x, &filter_offset, &filter_length);
+
+ // 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 = (filter_offset<<2);
+ // We will load and accumulate with four coefficients per iteration.
+ for (int filter_x = 0; filter_x < (filter_length >> 2); filter_x++) {
+ __m128i coeff, coeff16lo, coeff16hi;
+ // [16] xx xx xx xx c3 c2 c1 c0
+ coeff = _mm_loadl_epi64(reinterpret_cast<const __m128i*>(filter_values));
+ // [16] xx xx xx xx c1 c1 c0 c0
+ coeff16lo = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(1, 1, 0, 0));
+ // [16] c1 c1 c1 c1 c0 c0 c0 c0
+ coeff16lo = _mm_unpacklo_epi16(coeff16lo, coeff16lo);
+ // [16] xx xx xx xx c3 c3 c2 c2
+ coeff16hi = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(3, 3, 2, 2));
+ // [16] c3 c3 c3 c3 c2 c2 c2 c2
+ coeff16hi = _mm_unpacklo_epi16(coeff16hi, coeff16hi);
+
+ __m128i src8, src16, mul_hi, mul_lo, t;
+
+#define ITERATION(src, accum) \
+ src8 = _mm_loadu_si128(reinterpret_cast<const __m128i*>(src)); \
+ src16 = _mm_unpacklo_epi8(src8, zero); \
+ mul_hi = _mm_mulhi_epi16(src16, coeff16lo); \
+ mul_lo = _mm_mullo_epi16(src16, coeff16lo); \
+ t = _mm_unpacklo_epi16(mul_lo, mul_hi); \
+ accum = _mm_add_epi32(accum, t); \
+ t = _mm_unpackhi_epi16(mul_lo, mul_hi); \
+ accum = _mm_add_epi32(accum, t); \
+ src16 = _mm_unpackhi_epi8(src8, zero); \
+ mul_hi = _mm_mulhi_epi16(src16, coeff16hi); \
+ mul_lo = _mm_mullo_epi16(src16, coeff16hi); \
+ t = _mm_unpacklo_epi16(mul_lo, mul_hi); \
+ accum = _mm_add_epi32(accum, t); \
+ t = _mm_unpackhi_epi16(mul_lo, mul_hi); \
+ accum = _mm_add_epi32(accum, t)
+
+ ITERATION(src_data[0] + start, accum0);
+ ITERATION(src_data[1] + start, accum1);
+ ITERATION(src_data[2] + start, accum2);
+ ITERATION(src_data[3] + start, accum3);
+
+ start += 16;
+ filter_values += 4;
+ }
+
+ int r = filter_length & 3;
+ if (r) {
+ // Note: filter_values must be padded to align_up(filter_offset, 8);
+ __m128i coeff;
+ coeff = _mm_loadl_epi64(reinterpret_cast<const __m128i*>(filter_values));
+ // Mask out extra filter taps.
+ coeff = _mm_and_si128(coeff, mask[r]);
+
+ __m128i coeff16lo = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(1, 1, 0, 0));
+ /* c1 c1 c1 c1 c0 c0 c0 c0 */
+ coeff16lo = _mm_unpacklo_epi16(coeff16lo, coeff16lo);
+ __m128i coeff16hi = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(3, 3, 2, 2));
+ coeff16hi = _mm_unpacklo_epi16(coeff16hi, coeff16hi);
+
+ __m128i src8, src16, mul_hi, mul_lo, t;
+
+ ITERATION(src_data[0] + start, accum0);
+ ITERATION(src_data[1] + start, accum1);
+ ITERATION(src_data[2] + start, accum2);
+ ITERATION(src_data[3] + start, accum3);
+ }
+
+ accum0 = _mm_srai_epi32(accum0, ConvolutionFilter1D::kShiftBits);
+ accum0 = _mm_packs_epi32(accum0, zero);
+ accum0 = _mm_packus_epi16(accum0, zero);
+ accum1 = _mm_srai_epi32(accum1, ConvolutionFilter1D::kShiftBits);
+ accum1 = _mm_packs_epi32(accum1, zero);
+ accum1 = _mm_packus_epi16(accum1, zero);
+ accum2 = _mm_srai_epi32(accum2, ConvolutionFilter1D::kShiftBits);
+ accum2 = _mm_packs_epi32(accum2, zero);
+ accum2 = _mm_packus_epi16(accum2, zero);
+ accum3 = _mm_srai_epi32(accum3, ConvolutionFilter1D::kShiftBits);
+ accum3 = _mm_packs_epi32(accum3, zero);
+ accum3 = _mm_packus_epi16(accum3, zero);
+
+ *(reinterpret_cast<int*>(out_row[0])) = _mm_cvtsi128_si32(accum0);
+ *(reinterpret_cast<int*>(out_row[1])) = _mm_cvtsi128_si32(accum1);
+ *(reinterpret_cast<int*>(out_row[2])) = _mm_cvtsi128_si32(accum2);
+ *(reinterpret_cast<int*>(out_row[3])) = _mm_cvtsi128_si32(accum3);
+
+ out_row[0] += 4;
+ out_row[1] += 4;
+ out_row[2] += 4;
+ out_row[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 |source_data_rows| array, with each row
+// being |pixel_width| wide.
+//
+// The output must have room for |pixel_width * 4| bytes.
+template<bool has_alpha>
+void ConvolveVertically_SSE2_impl(const ConvolutionFilter1D::Fixed* filter_values,
+ int filter_length,
+ unsigned char* const* source_data_rows,
+ int pixel_width,
+ unsigned char* out_row) {
+ int width = pixel_width & ~3;
+
+ __m128i zero = _mm_setzero_si128();
+ __m128i accum0, accum1, accum2, accum3, coeff16;
+ const __m128i* src;
+ // Output four pixels per iteration (16 bytes).
+ for (int out_x = 0; out_x < width; out_x += 4) {
+
+ // Accumulated result for each pixel. 32 bits per RGBA channel.
+ accum0 = _mm_setzero_si128();
+ accum1 = _mm_setzero_si128();
+ accum2 = _mm_setzero_si128();
+ accum3 = _mm_setzero_si128();
+
+ // Convolve with one filter coefficient per iteration.
+ for (int filter_y = 0; filter_y < filter_length; filter_y++) {
+
+ // Duplicate the filter coefficient 8 times.
+ // [16] cj cj cj cj cj cj cj cj
+ coeff16 = _mm_set1_epi16(filter_values[filter_y]);
+
+ // Load four pixels (16 bytes) together.
+ // [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
+ src = reinterpret_cast<const __m128i*>(
+ &source_data_rows[filter_y][out_x << 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, ConvolutionFilter1D::kShiftBits);
+ accum1 = _mm_srai_epi32(accum1, ConvolutionFilter1D::kShiftBits);
+ accum2 = _mm_srai_epi32(accum2, ConvolutionFilter1D::kShiftBits);
+ accum3 = _mm_srai_epi32(accum3, ConvolutionFilter1D::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 (has_alpha) {
+ // 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*>(out_row), accum0);
+ out_row += 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.
+ if (pixel_width & 3) {
+ accum0 = _mm_setzero_si128();
+ accum1 = _mm_setzero_si128();
+ accum2 = _mm_setzero_si128();
+ for (int filter_y = 0; filter_y < filter_length; ++filter_y) {
+ coeff16 = _mm_set1_epi16(filter_values[filter_y]);
+ // [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
+ src = reinterpret_cast<const __m128i*>(
+ &source_data_rows[filter_y][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, 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