1 2/* 3 * Copyright 2012 Google Inc. 4 * 5 * Use of this source code is governed by a BSD-style license that can be 6 * found in the LICENSE file. 7 */ 8#include "SkBitmapProcState.h" 9#include "SkBitmapProcState_filter.h" 10#include "SkColorPriv.h" 11#include "SkFilterProc.h" 12#include "SkPaint.h" 13#include "SkShader.h" // for tilemodes 14#include "SkUtilsArm.h" 15 16// Required to ensure the table is part of the final binary. 17extern const SkBitmapProcState::SampleProc32 gSkBitmapProcStateSample32_neon[]; 18extern const SkBitmapProcState::SampleProc16 gSkBitmapProcStateSample16_neon[]; 19 20#define NAME_WRAP(x) x ## _neon 21#include "SkBitmapProcState_filter_neon.h" 22#include "SkBitmapProcState_procs.h" 23 24const SkBitmapProcState::SampleProc32 gSkBitmapProcStateSample32_neon[] = { 25 S32_opaque_D32_nofilter_DXDY_neon, 26 S32_alpha_D32_nofilter_DXDY_neon, 27 S32_opaque_D32_nofilter_DX_neon, 28 S32_alpha_D32_nofilter_DX_neon, 29 S32_opaque_D32_filter_DXDY_neon, 30 S32_alpha_D32_filter_DXDY_neon, 31 S32_opaque_D32_filter_DX_neon, 32 S32_alpha_D32_filter_DX_neon, 33 34 S16_opaque_D32_nofilter_DXDY_neon, 35 S16_alpha_D32_nofilter_DXDY_neon, 36 S16_opaque_D32_nofilter_DX_neon, 37 S16_alpha_D32_nofilter_DX_neon, 38 S16_opaque_D32_filter_DXDY_neon, 39 S16_alpha_D32_filter_DXDY_neon, 40 S16_opaque_D32_filter_DX_neon, 41 S16_alpha_D32_filter_DX_neon, 42 43 SI8_opaque_D32_nofilter_DXDY_neon, 44 SI8_alpha_D32_nofilter_DXDY_neon, 45 SI8_opaque_D32_nofilter_DX_neon, 46 SI8_alpha_D32_nofilter_DX_neon, 47 SI8_opaque_D32_filter_DXDY_neon, 48 SI8_alpha_D32_filter_DXDY_neon, 49 SI8_opaque_D32_filter_DX_neon, 50 SI8_alpha_D32_filter_DX_neon, 51 52 S4444_opaque_D32_nofilter_DXDY_neon, 53 S4444_alpha_D32_nofilter_DXDY_neon, 54 S4444_opaque_D32_nofilter_DX_neon, 55 S4444_alpha_D32_nofilter_DX_neon, 56 S4444_opaque_D32_filter_DXDY_neon, 57 S4444_alpha_D32_filter_DXDY_neon, 58 S4444_opaque_D32_filter_DX_neon, 59 S4444_alpha_D32_filter_DX_neon, 60 61 // A8 treats alpha/opauqe the same (equally efficient) 62 SA8_alpha_D32_nofilter_DXDY_neon, 63 SA8_alpha_D32_nofilter_DXDY_neon, 64 SA8_alpha_D32_nofilter_DX_neon, 65 SA8_alpha_D32_nofilter_DX_neon, 66 SA8_alpha_D32_filter_DXDY_neon, 67 SA8_alpha_D32_filter_DXDY_neon, 68 SA8_alpha_D32_filter_DX_neon, 69 SA8_alpha_D32_filter_DX_neon 70}; 71 72const SkBitmapProcState::SampleProc16 gSkBitmapProcStateSample16_neon[] = { 73 S32_D16_nofilter_DXDY_neon, 74 S32_D16_nofilter_DX_neon, 75 S32_D16_filter_DXDY_neon, 76 S32_D16_filter_DX_neon, 77 78 S16_D16_nofilter_DXDY_neon, 79 S16_D16_nofilter_DX_neon, 80 S16_D16_filter_DXDY_neon, 81 S16_D16_filter_DX_neon, 82 83 SI8_D16_nofilter_DXDY_neon, 84 SI8_D16_nofilter_DX_neon, 85 SI8_D16_filter_DXDY_neon, 86 SI8_D16_filter_DX_neon, 87 88 // Don't support 4444 -> 565 89 NULL, NULL, NULL, NULL, 90 // Don't support A8 -> 565 91 NULL, NULL, NULL, NULL 92}; 93 94/////////////////////////////////////////////////////////////////////////////// 95 96#include <arm_neon.h> 97#include "SkConvolver.h" 98 99// Convolves horizontally along a single row. The row data is given in 100// |srcData| and continues for the numValues() of the filter. 101void convolveHorizontally_neon(const unsigned char* srcData, 102 const SkConvolutionFilter1D& filter, 103 unsigned char* outRow, 104 bool hasAlpha) { 105 // Loop over each pixel on this row in the output image. 106 int numValues = filter.numValues(); 107 for (int outX = 0; outX < numValues; outX++) { 108 uint8x8_t coeff_mask0 = vcreate_u8(0x0100010001000100); 109 uint8x8_t coeff_mask1 = vcreate_u8(0x0302030203020302); 110 uint8x8_t coeff_mask2 = vcreate_u8(0x0504050405040504); 111 uint8x8_t coeff_mask3 = vcreate_u8(0x0706070607060706); 112 // Get the filter that determines the current output pixel. 113 int filterOffset, filterLength; 114 const SkConvolutionFilter1D::ConvolutionFixed* filterValues = 115 filter.FilterForValue(outX, &filterOffset, &filterLength); 116 117 // Compute the first pixel in this row that the filter affects. It will 118 // touch |filterLength| pixels (4 bytes each) after this. 119 const unsigned char* rowToFilter = &srcData[filterOffset * 4]; 120 121 // Apply the filter to the row to get the destination pixel in |accum|. 122 int32x4_t accum = vdupq_n_s32(0); 123 for (int filterX = 0; filterX < filterLength >> 2; filterX++) { 124 // Load 4 coefficients 125 int16x4_t coeffs, coeff0, coeff1, coeff2, coeff3; 126 coeffs = vld1_s16(filterValues); 127 coeff0 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), coeff_mask0)); 128 coeff1 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), coeff_mask1)); 129 coeff2 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), coeff_mask2)); 130 coeff3 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), coeff_mask3)); 131 132 // Load pixels and calc 133 uint8x16_t pixels = vld1q_u8(rowToFilter); 134 int16x8_t p01_16 = vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(pixels))); 135 int16x8_t p23_16 = vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(pixels))); 136 137 int16x4_t p0_src = vget_low_s16(p01_16); 138 int16x4_t p1_src = vget_high_s16(p01_16); 139 int16x4_t p2_src = vget_low_s16(p23_16); 140 int16x4_t p3_src = vget_high_s16(p23_16); 141 142 int32x4_t p0 = vmull_s16(p0_src, coeff0); 143 int32x4_t p1 = vmull_s16(p1_src, coeff1); 144 int32x4_t p2 = vmull_s16(p2_src, coeff2); 145 int32x4_t p3 = vmull_s16(p3_src, coeff3); 146 147 accum += p0; 148 accum += p1; 149 accum += p2; 150 accum += p3; 151 152 // Advance the pointers 153 rowToFilter += 16; 154 filterValues += 4; 155 } 156 int r = filterLength & 3; 157 if (r) { 158 const uint16_t mask[4][4] = { 159 {0, 0, 0, 0}, 160 {0xFFFF, 0, 0, 0}, 161 {0xFFFF, 0xFFFF, 0, 0}, 162 {0xFFFF, 0xFFFF, 0xFFFF, 0} 163 }; 164 uint16x4_t coeffs; 165 int16x4_t coeff0, coeff1, coeff2; 166 coeffs = vld1_u16(reinterpret_cast<const uint16_t*>(filterValues)); 167 coeffs &= vld1_u16(&mask[r][0]); 168 coeff0 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_u16(coeffs), coeff_mask0)); 169 coeff1 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_u16(coeffs), coeff_mask1)); 170 coeff2 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_u16(coeffs), coeff_mask2)); 171 172 // Load pixels and calc 173 uint8x16_t pixels = vld1q_u8(rowToFilter); 174 int16x8_t p01_16 = vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(pixels))); 175 int16x8_t p23_16 = vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(pixels))); 176 int32x4_t p0 = vmull_s16(vget_low_s16(p01_16), coeff0); 177 int32x4_t p1 = vmull_s16(vget_high_s16(p01_16), coeff1); 178 int32x4_t p2 = vmull_s16(vget_low_s16(p23_16), coeff2); 179 180 accum += p0; 181 accum += p1; 182 accum += p2; 183 } 184 185 // Bring this value back in range. All of the filter scaling factors 186 // are in fixed point with kShiftBits bits of fractional part. 187 accum = vshrq_n_s32(accum, SkConvolutionFilter1D::kShiftBits); 188 189 // Pack and store the new pixel. 190 int16x4_t accum16 = vqmovn_s32(accum); 191 uint8x8_t accum8 = vqmovun_s16(vcombine_s16(accum16, accum16)); 192 vst1_lane_u32(reinterpret_cast<uint32_t*>(outRow), vreinterpret_u32_u8(accum8), 0); 193 outRow += 4; 194 } 195} 196 197// Does vertical convolution to produce one output row. The filter values and 198// length are given in the first two parameters. These are applied to each 199// of the rows pointed to in the |sourceDataRows| array, with each row 200// being |pixelWidth| wide. 201// 202// The output must have room for |pixelWidth * 4| bytes. 203template<bool hasAlpha> 204void convolveVertically_neon(const SkConvolutionFilter1D::ConvolutionFixed* filterValues, 205 int filterLength, 206 unsigned char* const* sourceDataRows, 207 int pixelWidth, 208 unsigned char* outRow) { 209 int width = pixelWidth & ~3; 210 211 int32x4_t accum0, accum1, accum2, accum3; 212 int16x4_t coeff16; 213 214 // Output four pixels per iteration (16 bytes). 215 for (int outX = 0; outX < width; outX += 4) { 216 217 // Accumulated result for each pixel. 32 bits per RGBA channel. 218 accum0 = accum1 = accum2 = accum3 = vdupq_n_s32(0); 219 220 // Convolve with one filter coefficient per iteration. 221 for (int filterY = 0; filterY < filterLength; filterY++) { 222 223 // Duplicate the filter coefficient 4 times. 224 // [16] cj cj cj cj 225 coeff16 = vdup_n_s16(filterValues[filterY]); 226 227 // Load four pixels (16 bytes) together. 228 // [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0 229 uint8x16_t src8 = vld1q_u8(&sourceDataRows[filterY][outX << 2]); 230 231 int16x8_t src16_01 = vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(src8))); 232 int16x8_t src16_23 = vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(src8))); 233 int16x4_t src16_0 = vget_low_s16(src16_01); 234 int16x4_t src16_1 = vget_high_s16(src16_01); 235 int16x4_t src16_2 = vget_low_s16(src16_23); 236 int16x4_t src16_3 = vget_high_s16(src16_23); 237 238 accum0 += vmull_s16(src16_0, coeff16); 239 accum1 += vmull_s16(src16_1, coeff16); 240 accum2 += vmull_s16(src16_2, coeff16); 241 accum3 += vmull_s16(src16_3, coeff16); 242 } 243 244 // Shift right for fixed point implementation. 245 accum0 = vshrq_n_s32(accum0, SkConvolutionFilter1D::kShiftBits); 246 accum1 = vshrq_n_s32(accum1, SkConvolutionFilter1D::kShiftBits); 247 accum2 = vshrq_n_s32(accum2, SkConvolutionFilter1D::kShiftBits); 248 accum3 = vshrq_n_s32(accum3, SkConvolutionFilter1D::kShiftBits); 249 250 // Packing 32 bits |accum| to 16 bits per channel (signed saturation). 251 // [16] a1 b1 g1 r1 a0 b0 g0 r0 252 int16x8_t accum16_0 = vcombine_s16(vqmovn_s32(accum0), vqmovn_s32(accum1)); 253 // [16] a3 b3 g3 r3 a2 b2 g2 r2 254 int16x8_t accum16_1 = vcombine_s16(vqmovn_s32(accum2), vqmovn_s32(accum3)); 255 256 // Packing 16 bits |accum| to 8 bits per channel (unsigned saturation). 257 // [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0 258 uint8x16_t accum8 = vcombine_u8(vqmovun_s16(accum16_0), vqmovun_s16(accum16_1)); 259 260 if (hasAlpha) { 261 // Compute the max(ri, gi, bi) for each pixel. 262 // [8] xx a3 b3 g3 xx a2 b2 g2 xx a1 b1 g1 xx a0 b0 g0 263 uint8x16_t a = vreinterpretq_u8_u32(vshrq_n_u32(vreinterpretq_u32_u8(accum8), 8)); 264 // [8] xx xx xx max3 xx xx xx max2 xx xx xx max1 xx xx xx max0 265 uint8x16_t b = vmaxq_u8(a, accum8); // Max of r and g 266 // [8] xx xx a3 b3 xx xx a2 b2 xx xx a1 b1 xx xx a0 b0 267 a = vreinterpretq_u8_u32(vshrq_n_u32(vreinterpretq_u32_u8(accum8), 16)); 268 // [8] xx xx xx max3 xx xx xx max2 xx xx xx max1 xx xx xx max0 269 b = vmaxq_u8(a, b); // Max of r and g and b. 270 // [8] max3 00 00 00 max2 00 00 00 max1 00 00 00 max0 00 00 00 271 b = vreinterpretq_u8_u32(vshlq_n_u32(vreinterpretq_u32_u8(b), 24)); 272 273 // Make sure the value of alpha channel is always larger than maximum 274 // value of color channels. 275 accum8 = vmaxq_u8(b, accum8); 276 } else { 277 // Set value of alpha channels to 0xFF. 278 accum8 = vreinterpretq_u8_u32(vreinterpretq_u32_u8(accum8) | vdupq_n_u32(0xFF000000)); 279 } 280 281 // Store the convolution result (16 bytes) and advance the pixel pointers. 282 vst1q_u8(outRow, accum8); 283 outRow += 16; 284 } 285 286 // Process the leftovers when the width of the output is not divisible 287 // by 4, that is at most 3 pixels. 288 int r = pixelWidth & 3; 289 if (r) { 290 291 accum0 = accum1 = accum2 = vdupq_n_s32(0); 292 293 for (int filterY = 0; filterY < filterLength; ++filterY) { 294 coeff16 = vdup_n_s16(filterValues[filterY]); 295 296 // [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0 297 uint8x16_t src8 = vld1q_u8(&sourceDataRows[filterY][width << 2]); 298 299 int16x8_t src16_01 = vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(src8))); 300 int16x8_t src16_23 = vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(src8))); 301 int16x4_t src16_0 = vget_low_s16(src16_01); 302 int16x4_t src16_1 = vget_high_s16(src16_01); 303 int16x4_t src16_2 = vget_low_s16(src16_23); 304 305 accum0 += vmull_s16(src16_0, coeff16); 306 accum1 += vmull_s16(src16_1, coeff16); 307 accum2 += vmull_s16(src16_2, coeff16); 308 } 309 310 accum0 = vshrq_n_s32(accum0, SkConvolutionFilter1D::kShiftBits); 311 accum1 = vshrq_n_s32(accum1, SkConvolutionFilter1D::kShiftBits); 312 accum2 = vshrq_n_s32(accum2, SkConvolutionFilter1D::kShiftBits); 313 314 int16x8_t accum16_0 = vcombine_s16(vqmovn_s32(accum0), vqmovn_s32(accum1)); 315 int16x8_t accum16_1 = vcombine_s16(vqmovn_s32(accum2), vqmovn_s32(accum2)); 316 317 uint8x16_t accum8 = vcombine_u8(vqmovun_s16(accum16_0), vqmovun_s16(accum16_1)); 318 319 if (hasAlpha) { 320 // Compute the max(ri, gi, bi) for each pixel. 321 // [8] xx a3 b3 g3 xx a2 b2 g2 xx a1 b1 g1 xx a0 b0 g0 322 uint8x16_t a = vreinterpretq_u8_u32(vshrq_n_u32(vreinterpretq_u32_u8(accum8), 8)); 323 // [8] xx xx xx max3 xx xx xx max2 xx xx xx max1 xx xx xx max0 324 uint8x16_t b = vmaxq_u8(a, accum8); // Max of r and g 325 // [8] xx xx a3 b3 xx xx a2 b2 xx xx a1 b1 xx xx a0 b0 326 a = vreinterpretq_u8_u32(vshrq_n_u32(vreinterpretq_u32_u8(accum8), 16)); 327 // [8] xx xx xx max3 xx xx xx max2 xx xx xx max1 xx xx xx max0 328 b = vmaxq_u8(a, b); // Max of r and g and b. 329 // [8] max3 00 00 00 max2 00 00 00 max1 00 00 00 max0 00 00 00 330 b = vreinterpretq_u8_u32(vshlq_n_u32(vreinterpretq_u32_u8(b), 24)); 331 332 // Make sure the value of alpha channel is always larger than maximum 333 // value of color channels. 334 accum8 = vmaxq_u8(b, accum8); 335 } else { 336 // Set value of alpha channels to 0xFF. 337 accum8 = vreinterpretq_u8_u32(vreinterpretq_u32_u8(accum8) | vdupq_n_u32(0xFF000000)); 338 } 339 340 switch(r) { 341 case 1: 342 vst1q_lane_u32(reinterpret_cast<uint32_t*>(outRow), vreinterpretq_u32_u8(accum8), 0); 343 break; 344 case 2: 345 vst1_u32(reinterpret_cast<uint32_t*>(outRow), 346 vreinterpret_u32_u8(vget_low_u8(accum8))); 347 break; 348 case 3: 349 vst1_u32(reinterpret_cast<uint32_t*>(outRow), 350 vreinterpret_u32_u8(vget_low_u8(accum8))); 351 vst1q_lane_u32(reinterpret_cast<uint32_t*>(outRow+8), vreinterpretq_u32_u8(accum8), 2); 352 break; 353 } 354 } 355} 356 357void convolveVertically_neon(const SkConvolutionFilter1D::ConvolutionFixed* filterValues, 358 int filterLength, 359 unsigned char* const* sourceDataRows, 360 int pixelWidth, 361 unsigned char* outRow, 362 bool sourceHasAlpha) { 363 if (sourceHasAlpha) { 364 convolveVertically_neon<true>(filterValues, filterLength, 365 sourceDataRows, pixelWidth, 366 outRow); 367 } else { 368 convolveVertically_neon<false>(filterValues, filterLength, 369 sourceDataRows, pixelWidth, 370 outRow); 371 } 372} 373 374// Convolves horizontally along four rows. The row data is given in 375// |src_data| and continues for the num_values() of the filter. 376// The algorithm is almost same as |ConvolveHorizontally_SSE2|. Please 377// refer to that function for detailed comments. 378void convolve4RowsHorizontally_neon(const unsigned char* srcData[4], 379 const SkConvolutionFilter1D& filter, 380 unsigned char* outRow[4]) { 381 382 uint8x8_t coeff_mask0 = vcreate_u8(0x0100010001000100); 383 uint8x8_t coeff_mask1 = vcreate_u8(0x0302030203020302); 384 uint8x8_t coeff_mask2 = vcreate_u8(0x0504050405040504); 385 uint8x8_t coeff_mask3 = vcreate_u8(0x0706070607060706); 386 int num_values = filter.numValues(); 387 388 int filterOffset, filterLength; 389 // |mask| will be used to decimate all extra filter coefficients that are 390 // loaded by SIMD when |filter_length| is not divisible by 4. 391 // mask[0] is not used in following algorithm. 392 const uint16_t mask[4][4] = { 393 {0, 0, 0, 0}, 394 {0xFFFF, 0, 0, 0}, 395 {0xFFFF, 0xFFFF, 0, 0}, 396 {0xFFFF, 0xFFFF, 0xFFFF, 0} 397 }; 398 399 // Output one pixel each iteration, calculating all channels (RGBA) together. 400 for (int outX = 0; outX < num_values; outX++) { 401 402 const SkConvolutionFilter1D::ConvolutionFixed* filterValues = 403 filter.FilterForValue(outX, &filterOffset, &filterLength); 404 405 // four pixels in a column per iteration. 406 int32x4_t accum0 = vdupq_n_s32(0); 407 int32x4_t accum1 = vdupq_n_s32(0); 408 int32x4_t accum2 = vdupq_n_s32(0); 409 int32x4_t accum3 = vdupq_n_s32(0); 410 411 int start = (filterOffset<<2); 412 413 // We will load and accumulate with four coefficients per iteration. 414 for (int filter_x = 0; filter_x < (filterLength >> 2); filter_x++) { 415 int16x4_t coeffs, coeff0, coeff1, coeff2, coeff3; 416 417 coeffs = vld1_s16(filterValues); 418 coeff0 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), coeff_mask0)); 419 coeff1 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), coeff_mask1)); 420 coeff2 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), coeff_mask2)); 421 coeff3 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), coeff_mask3)); 422 423 uint8x16_t pixels; 424 int16x8_t p01_16, p23_16; 425 int32x4_t p0, p1, p2, p3; 426 427 428#define ITERATION(src, accum) \ 429 pixels = vld1q_u8(src); \ 430 p01_16 = vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(pixels))); \ 431 p23_16 = vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(pixels))); \ 432 p0 = vmull_s16(vget_low_s16(p01_16), coeff0); \ 433 p1 = vmull_s16(vget_high_s16(p01_16), coeff1); \ 434 p2 = vmull_s16(vget_low_s16(p23_16), coeff2); \ 435 p3 = vmull_s16(vget_high_s16(p23_16), coeff3); \ 436 accum += p0; \ 437 accum += p1; \ 438 accum += p2; \ 439 accum += p3 440 441 ITERATION(srcData[0] + start, accum0); 442 ITERATION(srcData[1] + start, accum1); 443 ITERATION(srcData[2] + start, accum2); 444 ITERATION(srcData[3] + start, accum3); 445 446 start += 16; 447 filterValues += 4; 448 } 449 450 int r = filterLength & 3; 451 if (r) { 452 int16x4_t coeffs, coeff0, coeff1, coeff2, coeff3; 453 coeffs = vld1_s16(filterValues); 454 coeffs &= vreinterpret_s16_u16(vld1_u16(&mask[r][0])); 455 coeff0 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), coeff_mask0)); 456 coeff1 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), coeff_mask1)); 457 coeff2 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), coeff_mask2)); 458 coeff3 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), coeff_mask3)); 459 460 uint8x16_t pixels; 461 int16x8_t p01_16, p23_16; 462 int32x4_t p0, p1, p2, p3; 463 464 ITERATION(srcData[0] + start, accum0); 465 ITERATION(srcData[1] + start, accum1); 466 ITERATION(srcData[2] + start, accum2); 467 ITERATION(srcData[3] + start, accum3); 468 } 469 470 int16x4_t accum16; 471 uint8x8_t res0, res1, res2, res3; 472 473#define PACK_RESULT(accum, res) \ 474 accum = vshrq_n_s32(accum, SkConvolutionFilter1D::kShiftBits); \ 475 accum16 = vqmovn_s32(accum); \ 476 res = vqmovun_s16(vcombine_s16(accum16, accum16)); 477 478 PACK_RESULT(accum0, res0); 479 PACK_RESULT(accum1, res1); 480 PACK_RESULT(accum2, res2); 481 PACK_RESULT(accum3, res3); 482 483 vst1_lane_u32(reinterpret_cast<uint32_t*>(outRow[0]), vreinterpret_u32_u8(res0), 0); 484 vst1_lane_u32(reinterpret_cast<uint32_t*>(outRow[1]), vreinterpret_u32_u8(res1), 0); 485 vst1_lane_u32(reinterpret_cast<uint32_t*>(outRow[2]), vreinterpret_u32_u8(res2), 0); 486 vst1_lane_u32(reinterpret_cast<uint32_t*>(outRow[3]), vreinterpret_u32_u8(res3), 0); 487 outRow[0] += 4; 488 outRow[1] += 4; 489 outRow[2] += 4; 490 outRow[3] += 4; 491 } 492} 493 494void applySIMDPadding_neon(SkConvolutionFilter1D *filter) { 495 // Padding |paddingCount| of more dummy coefficients after the coefficients 496 // of last filter to prevent SIMD instructions which load 8 or 16 bytes 497 // together to access invalid memory areas. We are not trying to align the 498 // coefficients right now due to the opaqueness of <vector> implementation. 499 // This has to be done after all |AddFilter| calls. 500 for (int i = 0; i < 8; ++i) { 501 filter->addFilterValue(static_cast<SkConvolutionFilter1D::ConvolutionFixed>(0)); 502 } 503} 504 505void platformConvolutionProcs_arm_neon(SkConvolutionProcs* procs) { 506 procs->fExtraHorizontalReads = 3; 507 procs->fConvolveVertically = &convolveVertically_neon; 508 procs->fConvolve4RowsHorizontally = &convolve4RowsHorizontally_neon; 509 procs->fConvolveHorizontally = &convolveHorizontally_neon; 510 procs->fApplySIMDPadding = &applySIMDPadding_neon; 511} 512