add scalar stubs for neon functions to give arm guys a place to work
BUG= R=djsollen@google.com, reed@google.com Author: humper@google.com Review URL: https://chromiumcodereview.appspot.com/20749003 git-svn-id: http://skia.googlecode.com/svn/trunk@10431 2bbb7eff-a529-9590-31e7-b0007b416f81
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@ -11,6 +11,9 @@
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#include "SkPaint.h"
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#include "SkTypes.h"
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#include "SkUtils.h"
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#include "SkUtilsArm.h"
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#include "SkConvolver.h"
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#if SK_ARM_ARCH >= 6 && !defined(SK_CPU_BENDIAN)
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void SI8_D16_nofilter_DX_arm(
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@ -219,6 +222,201 @@ void SkBitmapProcState::platformProcs() {
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}
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}
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void SkBitmapProcState::platformConvolutionProcs() {
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// no specialization for ARM here yet.
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/////////////////////////////////////
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/* FUNCTIONS BELOW ARE SCALAR STUBS INTENDED FOR ARM DEVELOPERS TO REPLACE */
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/////////////////////////////////////
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static inline unsigned char ClampTo8(int a) {
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if (static_cast<unsigned>(a) < 256) {
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return a; // Avoid the extra check in the common case.
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}
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if (a < 0) {
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return 0;
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}
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return 255;
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}
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// Convolves horizontally along a single row. The row data is given in
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// |srcData| and continues for the numValues() of the filter.
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void convolveHorizontally_arm(const unsigned char* srcData,
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const SkConvolutionFilter1D& filter,
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unsigned char* outRow,
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bool hasAlpha) {
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// Loop over each pixel on this row in the output image.
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int numValues = filter.numValues();
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for (int outX = 0; outX < numValues; outX++) {
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// Get the filter that determines the current output pixel.
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int filterOffset, filterLength;
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const SkConvolutionFilter1D::ConvolutionFixed* filterValues =
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filter.FilterForValue(outX, &filterOffset, &filterLength);
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// Compute the first pixel in this row that the filter affects. It will
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// touch |filterLength| pixels (4 bytes each) after this.
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const unsigned char* rowToFilter = &srcData[filterOffset * 4];
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// Apply the filter to the row to get the destination pixel in |accum|.
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int accum[4] = {0};
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for (int filterX = 0; filterX < filterLength; filterX++) {
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SkConvolutionFilter1D::ConvolutionFixed curFilter = filterValues[filterX];
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accum[0] += curFilter * rowToFilter[filterX * 4 + 0];
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accum[1] += curFilter * rowToFilter[filterX * 4 + 1];
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accum[2] += curFilter * rowToFilter[filterX * 4 + 2];
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if (hasAlpha) {
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accum[3] += curFilter * rowToFilter[filterX * 4 + 3];
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}
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}
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// Bring this value back in range. All of the filter scaling factors
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// are in fixed point with kShiftBits bits of fractional part.
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accum[0] >>= SkConvolutionFilter1D::kShiftBits;
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accum[1] >>= SkConvolutionFilter1D::kShiftBits;
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accum[2] >>= SkConvolutionFilter1D::kShiftBits;
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if (hasAlpha) {
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accum[3] >>= SkConvolutionFilter1D::kShiftBits;
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}
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// Store the new pixel.
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outRow[outX * 4 + 0] = ClampTo8(accum[0]);
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outRow[outX * 4 + 1] = ClampTo8(accum[1]);
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outRow[outX * 4 + 2] = ClampTo8(accum[2]);
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if (hasAlpha) {
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outRow[outX * 4 + 3] = ClampTo8(accum[3]);
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}
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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 |sourceDataRows| array, with each row
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// being |pixelWidth| wide.
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//
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// The output must have room for |pixelWidth * 4| bytes.
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template<bool hasAlpha>
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void convolveVertically_arm(const SkConvolutionFilter1D::ConvolutionFixed* filterValues,
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int filterLength,
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unsigned char* const* sourceDataRows,
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int pixelWidth,
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unsigned char* outRow) {
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// We go through each column in the output and do a vertical convolution,
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// generating one output pixel each time.
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for (int outX = 0; outX < pixelWidth; outX++) {
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// Compute the number of bytes over in each row that the current column
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// we're convolving starts at. The pixel will cover the next 4 bytes.
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int byteOffset = outX * 4;
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// Apply the filter to one column of pixels.
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int accum[4] = {0};
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for (int filterY = 0; filterY < filterLength; filterY++) {
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SkConvolutionFilter1D::ConvolutionFixed curFilter = filterValues[filterY];
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accum[0] += curFilter * sourceDataRows[filterY][byteOffset + 0];
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accum[1] += curFilter * sourceDataRows[filterY][byteOffset + 1];
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accum[2] += curFilter * sourceDataRows[filterY][byteOffset + 2];
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if (hasAlpha) {
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accum[3] += curFilter * sourceDataRows[filterY][byteOffset + 3];
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}
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}
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// Bring this value back in range. All of the filter scaling factors
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// are in fixed point with kShiftBits bits of precision.
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accum[0] >>= SkConvolutionFilter1D::kShiftBits;
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accum[1] >>= SkConvolutionFilter1D::kShiftBits;
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accum[2] >>= SkConvolutionFilter1D::kShiftBits;
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if (hasAlpha) {
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accum[3] >>= SkConvolutionFilter1D::kShiftBits;
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}
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// Store the new pixel.
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outRow[byteOffset + 0] = ClampTo8(accum[0]);
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outRow[byteOffset + 1] = ClampTo8(accum[1]);
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outRow[byteOffset + 2] = ClampTo8(accum[2]);
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if (hasAlpha) {
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unsigned char alpha = ClampTo8(accum[3]);
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// Make sure the alpha channel doesn't come out smaller than any of the
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// color channels. We use premultipled alpha channels, so this should
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// never happen, but rounding errors will cause this from time to time.
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// These "impossible" colors will cause overflows (and hence random pixel
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// values) when the resulting bitmap is drawn to the screen.
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//
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// We only need to do this when generating the final output row (here).
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int maxColorChannel = SkTMax(outRow[byteOffset + 0],
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SkTMax(outRow[byteOffset + 1],
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outRow[byteOffset + 2]));
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if (alpha < maxColorChannel) {
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outRow[byteOffset + 3] = maxColorChannel;
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} else {
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outRow[byteOffset + 3] = alpha;
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}
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} else {
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// No alpha channel, the image is opaque.
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outRow[byteOffset + 3] = 0xff;
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}
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}
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}
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void convolveVertically_arm(const SkConvolutionFilter1D::ConvolutionFixed* filterValues,
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int filterLength,
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unsigned char* const* sourceDataRows,
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int pixelWidth,
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unsigned char* outRow,
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bool sourceHasAlpha) {
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if (sourceHasAlpha) {
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convolveVertically_arm<true>(filterValues, filterLength,
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sourceDataRows, pixelWidth,
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outRow);
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} else {
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convolveVertically_arm<false>(filterValues, filterLength,
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sourceDataRows, pixelWidth,
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outRow);
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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 convolve4RowsHorizontally_arm(const unsigned char* src_data[4],
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const SkConvolutionFilter1D& filter,
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unsigned char* out_row[4]) {
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}
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///////////////////////////
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/* STOP REWRITING FUNCTIONS HERE, BUT DON'T FORGET TO EDIT THE
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PLATFORM CONVOLUTION PROCS BELOW */
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///////////////////////////
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void applySIMDPadding_arm(SkConvolutionFilter1D *filter) {
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// Padding |paddingCount| of more dummy coefficients after the coefficients
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// of last filter to prevent SIMD instructions which load 8 or 16 bytes
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// together to access invalid memory areas. We are not trying to align the
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// coefficients right now due to the opaqueness of <vector> implementation.
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// This has to be done after all |AddFilter| calls.
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for (int i = 0; i < 8; ++i) {
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filter->addFilterValue(static_cast<SkConvolutionFilter1D::ConvolutionFixed>(0));
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}
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}
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void SkBitmapProcState::platformConvolutionProcs() {
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if (sk_cpu_arm_has_neon()) {
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fConvolutionProcs->fExtraHorizontalReads = 3;
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fConvolutionProcs->fConvolveVertically = &convolveVertically_arm;
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// next line is commented out because the four-row convolution function above is
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// just a no-op. Please see the comment above its definition, and the SSE implementation
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// in SkBitmapProcState_opts_SSE2.cpp for guidance on its semantics.
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// leaving it as NULL will just cause the convolution system to not attempt
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// to operate on four rows at once, which is correct but not performance-optimal.
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// fConvolutionProcs->fConvolve4RowsHorizontally = &convolve4RowsHorizontally_arm;
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fConvolutionProcs->fConvolve4RowsHorizontally = NULL;
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fConvolutionProcs->fConvolveHorizontally = &convolveHorizontally_arm;
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fConvolutionProcs->fApplySIMDPadding = &applySIMDPadding_arm;
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}
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}
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