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convolver_neon.cc
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/*
* Copyright 2016 Google Inc.
*
* Use of this source code is governed by a BSD-style license that can be
* found in the LICENSE file.
*/
#include "skia/ext/convolver_neon.h"
#include <arm_neon.h>
namespace skia {
static SK_ALWAYS_INLINE int32x4_t
AccumRemainder(const unsigned char* pixels_left,
const ConvolutionFilter1D::Fixed* filter_values,
int r) {
int remainder[4] = {0, 0, 0, 0};
for (int i = 0; i < r; i++) {
ConvolutionFilter1D::Fixed coeff = filter_values[i];
remainder[0] += coeff * pixels_left[i * 4 + 0];
remainder[1] += coeff * pixels_left[i * 4 + 1];
remainder[2] += coeff * pixels_left[i * 4 + 2];
remainder[3] += coeff * pixels_left[i * 4 + 3];
}
return vld1q_s32(remainder);
}
// 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_Neon(const unsigned char* src_data,
const ConvolutionFilter1D& filter,
unsigned char* out_row,
bool /*has_alpha*/) {
// Loop over each pixel on this row in the output image.
int num_values = filter.num_values();
for (int out_x = 0; out_x < num_values; out_x++) {
// Get the filter that determines the current output pixel.
int filter_offset, filter_length;
const ConvolutionFilter1D::Fixed* filter_values =
filter.FilterForValue(out_x, &filter_offset, &filter_length);
// Compute the first pixel in this row that the filter affects. It will
// touch |filter_length| pixels (4 bytes each) after this.
const unsigned char* row_to_filter = &src_data[filter_offset * 4];
// Apply the filter to the row to get the destination pixel in |accum|.
int32x4_t accum = vdupq_n_s32(0);
for (int filter_x = 0; filter_x < (filter_length / 4); filter_x++) {
// Load 4 coefficients.
int16x4_t coeffs = vld1_s16(filter_values);
// Load 4 pixels into a q-register.
uint8x16_t pixels = vld1q_u8(row_to_filter);
// Expand to 16-bit channels split across two q-registers.
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)));
// Scale each pixel (each d-register) by its filter coefficients,
// accumulating into 32-bit.
accum = vmlal_lane_s16(accum, vget_low_s16(p01_16), coeffs, 0);
accum = vmlal_lane_s16(accum, vget_high_s16(p01_16), coeffs, 1);
accum = vmlal_lane_s16(accum, vget_low_s16(p23_16), coeffs, 2);
accum = vmlal_lane_s16(accum, vget_high_s16(p23_16), coeffs, 3);
// Advance to next elements.
row_to_filter += 16;
filter_values += 4;
}
int remainder = filter_length & 3;
if (remainder) {
int remainder_offset = (filter_offset + filter_length - remainder) * 4;
accum +=
AccumRemainder(src_data + remainder_offset, filter_values, remainder);
}
// Bring this value back in range. All of the filter scaling factors
// are in fixed point with kShiftBits bits of fractional part.
int16x4_t accum16 = vqshrn_n_s32(accum, ConvolutionFilter1D::kShiftBits);
// Pack and store the new pixel.
uint8x8_t accum8 = vqmovun_s16(vcombine_s16(accum16, accum16));
vst1_lane_u32(reinterpret_cast<uint32_t*>(out_row),
vreinterpret_u32_u8(accum8), 0);
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 |convolve_horizontally|. Please
// refer to that function for detailed comments.
void Convolve4RowsHorizontally_Neon(const unsigned char* src_data[4],
const ConvolutionFilter1D& filter,
unsigned char* out_row[4]) {
// Output one pixel each iteration, calculating all channels (RGBA) together.
int num_values = filter.num_values();
for (int out_x = 0; out_x < num_values; out_x++) {
int filter_offset, filter_length;
const ConvolutionFilter1D::Fixed* filter_values =
filter.FilterForValue(out_x, &filter_offset, &filter_length);
// 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);
int start = filter_offset * 4;
// Load and accumulate with four coefficients per iteration.
for (int filter_x = 0; filter_x < (filter_length / 4); filter_x++) {
// Load 4 coefficients.
int16x4_t coeffs = vld1_s16(filter_values);
auto iteration = [=](const uint8_t* src) {
// c.f. ConvolveHorizontally_Neon() above.
uint8x16_t pixels = vld1q_u8(src);
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)));
int32x4_t accum = vdupq_n_s32(0);
accum = vmlal_lane_s16(accum, vget_low_s16(p01_16), coeffs, 0);
accum = vmlal_lane_s16(accum, vget_high_s16(p01_16), coeffs, 1);
accum = vmlal_lane_s16(accum, vget_low_s16(p23_16), coeffs, 2);
accum = vmlal_lane_s16(accum, vget_high_s16(p23_16), coeffs, 3);
return accum;
};
accum0 += iteration(src_data[0] + start);
accum1 += iteration(src_data[1] + start);
accum2 += iteration(src_data[2] + start);
accum3 += iteration(src_data[3] + start);
start += 16;
filter_values += 4;
}
int remainder = filter_length & 3;
if (remainder) {
int remainder_offset = (filter_offset + filter_length - remainder) * 4;
accum0 += AccumRemainder(src_data[0] + remainder_offset, filter_values,
remainder);
accum1 += AccumRemainder(src_data[1] + remainder_offset, filter_values,
remainder);
accum2 += AccumRemainder(src_data[2] + remainder_offset, filter_values,
remainder);
accum3 += AccumRemainder(src_data[3] + remainder_offset, filter_values,
remainder);
}
auto pack_result = [](int32x4_t accum) {
int16x4_t accum16 = vqshrn_n_s32(accum, ConvolutionFilter1D::kShiftBits);
return vqmovun_s16(vcombine_s16(accum16, accum16));
};
uint8x8_t res0 = pack_result(accum0);
uint8x8_t res1 = pack_result(accum1);
uint8x8_t res2 = pack_result(accum2);
uint8x8_t res3 = pack_result(accum3);
vst1_lane_u32(reinterpret_cast<uint32_t*>(out_row[0]),
vreinterpret_u32_u8(res0), 0);
vst1_lane_u32(reinterpret_cast<uint32_t*>(out_row[1]),
vreinterpret_u32_u8(res1), 0);
vst1_lane_u32(reinterpret_cast<uint32_t*>(out_row[2]),
vreinterpret_u32_u8(res2), 0);
vst1_lane_u32(reinterpret_cast<uint32_t*>(out_row[3]),
vreinterpret_u32_u8(res3), 0);
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.
void ConvolveVertically_Neon(const ConvolutionFilter1D::Fixed* filter_values,
int filter_length,
unsigned char* const* source_data_rows,
int pixel_width,
unsigned char* out_row,
bool has_alpha) {
int width = pixel_width & ~3;
// 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.
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 filter_y = 0; filter_y < filter_length; 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
uint8x16_t src8 = vld1q_u8(&source_data_rows[filter_y][out_x << 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)));
accum0 =
vmlal_n_s16(accum0, vget_low_s16(src16_01), filter_values[filter_y]);
accum1 =
vmlal_n_s16(accum1, vget_high_s16(src16_01), filter_values[filter_y]);
accum2 =
vmlal_n_s16(accum2, vget_low_s16(src16_23), filter_values[filter_y]);
accum3 =
vmlal_n_s16(accum3, vget_high_s16(src16_23), filter_values[filter_y]);
}
// Shift right for fixed point implementation.
// Packing 32 bits |accum| to 16 bits per channel (unsigned saturation).
int16x4_t accum16_0 = vqshrn_n_s32(accum0, ConvolutionFilter1D::kShiftBits);
int16x4_t accum16_1 = vqshrn_n_s32(accum1, ConvolutionFilter1D::kShiftBits);
int16x4_t accum16_2 = vqshrn_n_s32(accum2, ConvolutionFilter1D::kShiftBits);
int16x4_t accum16_3 = vqshrn_n_s32(accum3, ConvolutionFilter1D::kShiftBits);
// [16] a1 b1 g1 r1 a0 b0 g0 r0
int16x8_t accum16_low = vcombine_s16(accum16_0, accum16_1);
// [16] a3 b3 g3 r3 a2 b2 g2 r2
int16x8_t accum16_high = vcombine_s16(accum16_2, accum16_3);
// 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_low), vqmovun_s16(accum16_high));
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
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(out_row, accum8);
out_row += 16;
}
// Process the leftovers when the width of the output is not divisible
// by 4, that is at most 3 pixels.
int remainder = pixel_width & 3;
if (remainder) {
int32x4_t accum0 = vdupq_n_s32(0);
int32x4_t accum1 = vdupq_n_s32(0);
int32x4_t accum2 = vdupq_n_s32(0);
for (int filter_y = 0; filter_y < filter_length; ++filter_y) {
// [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
uint8x16_t src8 = vld1q_u8(&source_data_rows[filter_y][width * 4]);
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)));
accum0 =
vmlal_n_s16(accum0, vget_low_s16(src16_01), filter_values[filter_y]);
accum1 =
vmlal_n_s16(accum1, vget_high_s16(src16_01), filter_values[filter_y]);
accum2 =
vmlal_n_s16(accum2, vget_low_s16(src16_23), filter_values[filter_y]);
}
int16x4_t accum16_0 = vqshrn_n_s32(accum0, ConvolutionFilter1D::kShiftBits);
int16x4_t accum16_1 = vqshrn_n_s32(accum1, ConvolutionFilter1D::kShiftBits);
int16x4_t accum16_2 = vqshrn_n_s32(accum2, ConvolutionFilter1D::kShiftBits);
int16x8_t accum16_low = vcombine_s16(accum16_0, accum16_1);
int16x8_t accum16_high = vcombine_s16(accum16_2, accum16_2);
uint8x16_t accum8 =
vcombine_u8(vqmovun_s16(accum16_low), vqmovun_s16(accum16_high));
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
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 (remainder) {
case 1:
vst1q_lane_u32(reinterpret_cast<uint32_t*>(out_row),
vreinterpretq_u32_u8(accum8), 0);
break;
case 2:
vst1_u32(reinterpret_cast<uint32_t*>(out_row),
vreinterpret_u32_u8(vget_low_u8(accum8)));
break;
case 3:
vst1_u32(reinterpret_cast<uint32_t*>(out_row),
vreinterpret_u32_u8(vget_low_u8(accum8)));
vst1q_lane_u32(reinterpret_cast<uint32_t*>(out_row + 8),
vreinterpretq_u32_u8(accum8), 2);
break;
}
}
}
} // namespace skia