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Side by Side Diff: src/opts/SkBitmapProcState_arm_neon.cpp

Issue 27533004: ARM Skia NEON patches - 33 - Convolution filter (Closed) Base URL: https://skia.googlecode.com/svn/trunk
Patch Set: Remove the unused variable Created 7 years, 1 month ago
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1 1
2 /* 2 /*
3 * Copyright 2012 Google Inc. 3 * Copyright 2012 Google Inc.
4 * 4 *
5 * Use of this source code is governed by a BSD-style license that can be 5 * Use of this source code is governed by a BSD-style license that can be
6 * found in the LICENSE file. 6 * found in the LICENSE file.
7 */ 7 */
8 #include "SkBitmapProcState.h" 8 #include "SkBitmapProcState.h"
9 #include "SkBitmapProcState_filter.h" 9 #include "SkBitmapProcState_filter.h"
10 #include "SkColorPriv.h" 10 #include "SkColorPriv.h"
(...skipping 72 matching lines...) Expand 10 before | Expand all | Expand 10 after
83 SI8_D16_nofilter_DXDY_neon, 83 SI8_D16_nofilter_DXDY_neon,
84 SI8_D16_nofilter_DX_neon, 84 SI8_D16_nofilter_DX_neon,
85 SI8_D16_filter_DXDY_neon, 85 SI8_D16_filter_DXDY_neon,
86 SI8_D16_filter_DX_neon, 86 SI8_D16_filter_DX_neon,
87 87
88 // Don't support 4444 -> 565 88 // Don't support 4444 -> 565
89 NULL, NULL, NULL, NULL, 89 NULL, NULL, NULL, NULL,
90 // Don't support A8 -> 565 90 // Don't support A8 -> 565
91 NULL, NULL, NULL, NULL 91 NULL, NULL, NULL, NULL
92 }; 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.
101 void 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), c oeff_mask0));
128 coeff1 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), c oeff_mask1));
129 coeff2 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), c oeff_mask2));
130 coeff3 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), c oeff_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(pixel s)));
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), c oeff_mask0));
169 coeff1 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_u16(coeffs), c oeff_mask1));
170 coeff2 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_u16(coeffs), c oeff_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(pixel s)));
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(a ccum8), 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.
203 template<bool hasAlpha>
204 void convolveVertically_neon(const SkConvolutionFilter1D::ConvolutionFixed* filt erValues,
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(src 8)));
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(accu m16_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), 1 6));
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 maximu m
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 pointer s.
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(src 8)));
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(accu m16_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), 1 6));
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 maximu m
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_u3 2_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
357 void convolveVertically_neon(const SkConvolutionFilter1D::ConvolutionFixed* filt erValues,
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.
378 void 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), c oeff_mask0));
419 coeff1 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), c oeff_mask1));
420 coeff2 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), c oeff_mask2));
421 coeff3 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), c oeff_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), c oeff_mask0));
456 coeff1 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), c oeff_mask1));
457 coeff2 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), c oeff_mask2));
458 coeff3 = vreinterpret_s16_u8(vtbl1_u8(vreinterpret_u8_s16(coeffs), c oeff_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_u 8(res0), 0);
484 vst1_lane_u32(reinterpret_cast<uint32_t*>(outRow[1]), vreinterpret_u32_u 8(res1), 0);
485 vst1_lane_u32(reinterpret_cast<uint32_t*>(outRow[2]), vreinterpret_u32_u 8(res2), 0);
486 vst1_lane_u32(reinterpret_cast<uint32_t*>(outRow[3]), vreinterpret_u32_u 8(res3), 0);
487 outRow[0] += 4;
488 outRow[1] += 4;
489 outRow[2] += 4;
490 outRow[3] += 4;
491 }
492 }
493
494 void 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::ConvolutionFix ed>(0));
502 }
503 }
504
505 void 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
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