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Issue 6334070: SIMD implementation of Convolver for Lanczos filter etc. (Closed) Base URL: svn://svn.chromium.org/chrome/trunk/src
Patch Set: try to fix win Created 9 years, 10 months ago
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1 // Copyright (c) 2011 The Chromium Authors. All rights reserved. 1 // Copyright (c) 2011 The Chromium Authors. All rights reserved.
2 // Use of this source code is governed by a BSD-style license that can be 2 // Use of this source code is governed by a BSD-style license that can be
3 // found in the LICENSE file. 3 // found in the LICENSE file.
4 4
5 #include <algorithm> 5 #include <algorithm>
6 6
7 #include "skia/ext/convolver.h" 7 #include "skia/ext/convolver.h"
8 #include "third_party/skia/include/core/SkTypes.h" 8 #include "third_party/skia/include/core/SkTypes.h"
9 9
10 #ifdef ARCH_CPU_X86_FAMILY
evannier 2011/02/14 23:45:13 I believe Chrome coding style recommends: #if defi
jiesun 2011/02/17 20:17:58 Done.
11 #include <emmintrin.h>
12 #endif
13
10 namespace skia { 14 namespace skia {
11 15
12 namespace { 16 namespace {
13 17
14 // Converts the argument to an 8-bit unsigned value by clamping to the range 18 // Converts the argument to an 8-bit unsigned value by clamping to the range
15 // 0-255. 19 // 0-255.
16 inline unsigned char ClampTo8(int a) { 20 inline unsigned char ClampTo8(int a) {
17 if (static_cast<unsigned>(a) < 256) 21 if (static_cast<unsigned>(a) < 256)
18 return a; // Avoid the extra check in the common case. 22 return a; // Avoid the extra check in the common case.
19 if (a < 0) 23 if (a < 0)
(...skipping 172 matching lines...) Expand 10 before | Expand all | Expand 10 after
192 if (has_alpha) 196 if (has_alpha)
193 accum[3] >>= ConvolutionFilter1D::kShiftBits; 197 accum[3] >>= ConvolutionFilter1D::kShiftBits;
194 198
195 // Store the new pixel. 199 // Store the new pixel.
196 out_row[byte_offset + 0] = ClampTo8(accum[0]); 200 out_row[byte_offset + 0] = ClampTo8(accum[0]);
197 out_row[byte_offset + 1] = ClampTo8(accum[1]); 201 out_row[byte_offset + 1] = ClampTo8(accum[1]);
198 out_row[byte_offset + 2] = ClampTo8(accum[2]); 202 out_row[byte_offset + 2] = ClampTo8(accum[2]);
199 if (has_alpha) { 203 if (has_alpha) {
200 unsigned char alpha = ClampTo8(accum[3]); 204 unsigned char alpha = ClampTo8(accum[3]);
201 205
202 // Make sure the alpha channel doesn't come out larger than any of the 206 // Make sure the alpha channel doesn't come out smaller than any of the
203 // color channels. We use premultipled alpha channels, so this should 207 // color channels. We use premultipled alpha channels, so this should
204 // never happen, but rounding errors will cause this from time to time. 208 // never happen, but rounding errors will cause this from time to time.
205 // These "impossible" colors will cause overflows (and hence random pixel 209 // These "impossible" colors will cause overflows (and hence random pixel
206 // values) when the resulting bitmap is drawn to the screen. 210 // values) when the resulting bitmap is drawn to the screen.
207 // 211 //
208 // We only need to do this when generating the final output row (here). 212 // We only need to do this when generating the final output row (here).
209 int max_color_channel = std::max(out_row[byte_offset + 0], 213 int max_color_channel = std::max(out_row[byte_offset + 0],
210 std::max(out_row[byte_offset + 1], out_row[byte_offset + 2])); 214 std::max(out_row[byte_offset + 1], out_row[byte_offset + 2]));
211 if (alpha < max_color_channel) 215 if (alpha < max_color_channel)
212 out_row[byte_offset + 3] = max_color_channel; 216 out_row[byte_offset + 3] = max_color_channel;
213 else 217 else
214 out_row[byte_offset + 3] = alpha; 218 out_row[byte_offset + 3] = alpha;
215 } else { 219 } else {
216 // No alpha channel, the image is opaque. 220 // No alpha channel, the image is opaque.
217 out_row[byte_offset + 3] = 0xff; 221 out_row[byte_offset + 3] = 0xff;
218 } 222 }
219 } 223 }
220 } 224 }
221 225
226
227 // Convolves horizontally along a single row. The row data is given in
228 // |src_data| and continues for the num_values() of the filter.
229 template<bool has_alpha>
evannier 2011/02/14 23:45:13 has_alpha is not used anywhere, suggesting there i
jiesun 2011/02/15 00:19:22 actually, it is always vertical after horizontal p
jiesun 2011/02/17 20:17:58 Done.
230 void ConvolveHorizontally_SSE2(const unsigned char* src_data,
evannier 2011/02/14 23:45:13 Maybe move that closer to the the other Horizontal
jiesun 2011/02/17 20:17:58 I am grouping all SIMD function into a #ifdef. not
231 const ConvolutionFilter1D& filter,
evannier 2011/02/14 23:45:13 here and elsewhere, indentation looks odd. And var
jiesun 2011/02/17 20:17:58 Done.
232 unsigned char* out_row) {
233 #ifdef ARCH_CPU_X86_FAMILY
234 int width = filter.num_values();
evannier 2011/02/14 23:45:13 Maybe name this num_values for better symmetry wit
jiesun 2011/02/17 20:17:58 Done.
235
236 int filter_offset, filter_length;
237 __m128i zero = _mm_setzero_si128();
238 for (int i = 0; i < width; i += 1) { // One pixel per iteration.
evannier 2011/02/14 23:45:13 same comment about the naming.
jiesun 2011/02/17 20:17:58 Done.
239 const ConvolutionFilter1D::Fixed* filter_values =
240 filter.FilterForValue(i, &filter_offset, &filter_length);
241
242 __m128i accum = _mm_setzero_si128();
243 const unsigned char* start = src_data+(filter_offset<<2);
evannier 2011/02/14 23:45:13 what is wrong with the way it was written in the o
evannier 2011/02/14 23:45:13 Since this is going to be used as a __m128i, I wou
jiesun 2011/02/17 20:17:58 Done.
244 // Four filter taps per iteration.
245 for (int j = 0; j < filter_length >> 2; ++j) {
246 // [16] xx xx xx xx c3 c2 c1 c0
247 __m128i coeff = _mm_loadl_epi64((__m128i*)filter_values);
evannier 2011/02/14 23:45:13 Maybe add a comment explaining that you have ensur
jiesun 2011/02/15 00:19:22 I think there is no alignment requirement for _mm_
248 // [16] xx xx xx xx c1 c1 c0 c0
249 __m128i coeff16 = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(1, 1, 0, 0));
evannier 2011/02/14 23:45:13 I have not looked at the resulting assembly, but I
250 // [16] c1 c1 c1 c1 c0 c0 c0 c0
251 coeff16 = _mm_unpacklo_epi16(coeff16, coeff16);
252
253 // [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
254 __m128i src8 = _mm_loadu_si128((__m128i*)start);
255 // [16] a1 b1 g1 r1 a0 b0 g0 r0
256 __m128i src16 = _mm_unpacklo_epi8(src8, zero);
257 __m128i mul_hi = _mm_mulhi_epi16(src16, coeff16);
evannier 2011/02/14 23:45:13 Because of the many stalls these operations might
258 __m128i mul_lo = _mm_mullo_epi16(src16, coeff16);
259 // [32] a0*c0 b0*c0 g0*c0 r0*c0
260 __m128i t = _mm_unpacklo_epi16(mul_lo, mul_hi);
261 accum = _mm_add_epi32(accum, t);
262 // [32] a1*c1 b1*c1 g1*c1 r1*c1
263 t = _mm_unpackhi_epi16(mul_lo, mul_hi);
264 accum = _mm_add_epi32(accum, t);
265
266 // [16] xx xx xx xx c3 c3 c2 c2
267 coeff16 = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(3, 3, 2, 2));
268 // [16] c3 c3 c3 c3 c2 c2 c2 c2
269 coeff16 = _mm_unpacklo_epi16(coeff16, coeff16);
270 // [16] a3 g3 b3 r3 a2 g2 b2 r2
271 src16 = _mm_unpackhi_epi8(src8, zero);
272 mul_hi = _mm_mulhi_epi16(src16, coeff16);
273 mul_lo = _mm_mullo_epi16(src16, coeff16);
274 // [32] a2*c2 b2*c2 g2*c2 r2*c2
275 t = _mm_unpacklo_epi16(mul_lo, mul_hi);
276 accum = _mm_add_epi32(accum, t);
277 // [32] a3*c3 b3*c3 g3*c3 r3*c3
278 t = _mm_unpackhi_epi16(mul_lo, mul_hi);
279 accum = _mm_add_epi32(accum, t);
280
281 start += 16;
282 filter_values += 4;
283 }
284
285 // remaining
286 int r = filter_length&3;
287 if (r) {
288 // Note: filter_values must be pad to align_up(filter_offset, 8);
evannier 2011/02/14 23:45:13 padded
289 __m128i coeff = _mm_loadl_epi64((__m128i*)filter_values);
290 // Mask out extra filter taps.
291 __m128i mask = _mm_set_epi16(0, 0, 0, 0, 0, r==3?-1:0, r>=2?-1:0, -1);
292 coeff = _mm_and_si128(coeff, mask);
293 __m128i coeff16 = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(1, 1, 0, 0));
294 coeff16 = _mm_unpacklo_epi16(coeff16, coeff16);
295
296 // TODO(jiesun): line buffer must be pad to align_up(filter_offset, 16);
evannier 2011/02/14 23:45:13 padded
jiesun 2011/02/17 20:17:58 Done.
297 __m128i src8 = _mm_loadu_si128((__m128i*)start);
298 __m128i src16 = _mm_unpacklo_epi8(src8, zero);
299 __m128i mul_hi = _mm_mulhi_epi16(src16, coeff16);
300 __m128i mul_lo = _mm_mullo_epi16(src16, coeff16);
301 __m128i t = _mm_unpacklo_epi16(mul_lo, mul_hi);
302 accum = _mm_add_epi32(accum, t);
303 t = _mm_unpackhi_epi16(mul_lo, mul_hi);
304 accum = _mm_add_epi32(accum, t);
305
306 src16 = _mm_unpackhi_epi8(src8, zero);
307 coeff16 = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(3, 3, 2, 2));
308 coeff16 = _mm_unpacklo_epi16(coeff16, coeff16);
309 mul_hi = _mm_mulhi_epi16(src16, coeff16);
310 mul_lo = _mm_mullo_epi16(src16, coeff16);
311 t = _mm_unpacklo_epi16(mul_lo, mul_hi);
312 accum = _mm_add_epi32(accum, t);
313 }
314
315 // shift right for fix point implementation before saturation.
316 accum = _mm_srai_epi32 (accum, ConvolutionFilter1D::kShiftBits);
317 accum = _mm_packs_epi32(accum, zero);
318 accum = _mm_packus_epi16(accum, zero);
evannier 2011/02/14 23:45:13 I am missing something. the first packs_epi32 will
jiesun 2011/02/15 00:19:22 according to http://msdn.microsoft.com/en-us/libra
319
320 *(reinterpret_cast<int*>(out_row)) = _mm_cvtsi128_si32(accum);
321 out_row += 4;
322 }
323 #endif
324 }
325
326 // Convolves horizontally along four rows. The row data is given in
327 // |src_data| and continues for the num_values() of the filter.
328 template<bool has_alpha>
329 void ConvolveHorizontally4_SSE2(const unsigned char* src_data[4],
330 const ConvolutionFilter1D& filter,
331 unsigned char* out_row[4]) {
332 #ifdef ARCH_CPU_X86_FAMILY
evannier 2011/02/14 23:45:13 Since this code is SSE2, I would use the preproces
jiesun 2011/02/15 00:19:22 thanks, I was trying to do that function pointer m
333 int width = filter.num_values();
334
335 int filter_offset, filter_length;
336 __m128i zero = _mm_setzero_si128();
337
338 for (int i=0; i < width; i+=1) {
339 const ConvolutionFilter1D::Fixed* filter_values =
340 filter.FilterForValue(i, &filter_offset, &filter_length);
341
342 // four pixels in a column per iteration.
343 __m128i accum0 = _mm_setzero_si128();
344 __m128i accum1 = _mm_setzero_si128();
345 __m128i accum2 = _mm_setzero_si128();
346 __m128i accum3 = _mm_setzero_si128();
347 int start = (filter_offset<<2);
348 for (int j = 0; j < (filter_length >> 2); ++j) {
349 __m128i coeff, coeff16lo, coeff16hi;
350 // [16] xx xx xx xx c3 c2 c1 c0
351 coeff = _mm_loadl_epi64((__m128i*)filter_values);
352 // [16] xx xx xx xx c1 c1 c0 c0
353 coeff16lo = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(1, 1, 0, 0));
354 // [16] c1 c1 c1 c1 c0 c0 c0 c0
355 coeff16lo = _mm_unpacklo_epi16(coeff16lo, coeff16lo);
356 // [16] xx xx xx xx c3 c3 c2 c2
357 coeff16hi = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(3, 3, 2, 2));
358 // [16] c3 c3 c3 c3 c2 c2 c2 c2
359 coeff16hi = _mm_unpacklo_epi16(coeff16hi, coeff16hi);
360
361 __m128i src8, src16, mul_hi, mul_lo, t;
362
363 #define ITERATION(src, accum) \
364 src8 = _mm_loadu_si128((__m128i*)(src)); \
365 src16 = _mm_unpacklo_epi8(src8, zero); \
366 mul_hi = _mm_mulhi_epi16(src16, coeff16lo); \
367 mul_lo = _mm_mullo_epi16(src16, coeff16lo); \
368 t = _mm_unpacklo_epi16(mul_lo, mul_hi); \
369 accum = _mm_add_epi32(accum, t); \
370 t = _mm_unpackhi_epi16(mul_lo, mul_hi); \
371 accum = _mm_add_epi32(accum, t); \
372 src16 = _mm_unpackhi_epi8(src8, zero); \
373 mul_hi = _mm_mulhi_epi16(src16, coeff16hi); \
374 mul_lo = _mm_mullo_epi16(src16, coeff16hi); \
375 t = _mm_unpacklo_epi16(mul_lo, mul_hi); \
376 accum = _mm_add_epi32(accum, t); \
377 t = _mm_unpackhi_epi16(mul_lo, mul_hi); \
378 accum = _mm_add_epi32(accum, t)
379
380 ITERATION(src_data[0]+start, accum0);
381 ITERATION(src_data[1]+start, accum1);
382 ITERATION(src_data[2]+start, accum2);
383 ITERATION(src_data[3]+start, accum3);
384
385 start += 16;
386 filter_values += 4;
387 }
388
389 int r = filter_length&3;
390 if (r) {
391 // Note: filter_values must be pad to align_up(filter_offset, 8);
392 __m128i coeff = _mm_loadl_epi64((__m128i*)filter_values);
393 __m128i mask = _mm_set_epi16(0, 0, 0, 0, 0, r==3?-1:0, r>=2?-1:0, -1);
394 coeff = _mm_and_si128(coeff, mask);
395
396 __m128i coeff16lo = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(1, 1, 0, 0));
397 /* c1 c1 c1 c1 c0 c0 c0 c0 */
398 coeff16lo = _mm_unpacklo_epi16(coeff16lo, coeff16lo);
399 __m128i coeff16hi = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(3, 3, 2, 2));
400 coeff16hi = _mm_unpacklo_epi16(coeff16hi, coeff16hi);
401
402 __m128i src8, src16, mul_hi, mul_lo, t;
403
404 ITERATION(src_data[0]+start, accum0);
405 ITERATION(src_data[1]+start, accum1);
406 ITERATION(src_data[2]+start, accum2);
407 ITERATION(src_data[3]+start, accum3);
408 }
409
410 accum0 = _mm_srai_epi32 (accum0, ConvolutionFilter1D::kShiftBits);
411 accum0 = _mm_packs_epi32(accum0, zero);
412 accum0 = _mm_packus_epi16(accum0, zero);
413 accum1 = _mm_srai_epi32 (accum1, ConvolutionFilter1D::kShiftBits);
414 accum1 = _mm_packs_epi32(accum1, zero);
415 accum1 = _mm_packus_epi16(accum1, zero);
416 accum2 = _mm_srai_epi32 (accum2, ConvolutionFilter1D::kShiftBits);
417 accum2 = _mm_packs_epi32(accum2, zero);
418 accum2 = _mm_packus_epi16(accum2, zero);
419 accum3 = _mm_srai_epi32 (accum3, ConvolutionFilter1D::kShiftBits);
420 accum3 = _mm_packs_epi32(accum3, zero);
421 accum3 = _mm_packus_epi16(accum3, zero);
422
423 *(reinterpret_cast<int*>(out_row[0])) = _mm_cvtsi128_si32(accum0);
424 *(reinterpret_cast<int*>(out_row[1])) = _mm_cvtsi128_si32(accum1);
425 *(reinterpret_cast<int*>(out_row[2])) = _mm_cvtsi128_si32(accum2);
426 *(reinterpret_cast<int*>(out_row[3])) = _mm_cvtsi128_si32(accum3);
427
428 out_row[0] += 4;
429 out_row[1] += 4;
430 out_row[2] += 4;
431 out_row[3] += 4;
432 }
433 #endif
434 }
435
436 template<bool has_alpha>
437 void ConvolveVertically_SSE2(const ConvolutionFilter1D::Fixed* filter_values,
438 int filter_length,
439 unsigned char* const* source_data_rows,
440 int pixel_width,
441 unsigned char* out_row) {
442 #ifdef ARCH_CPU_X86_FAMILY
443 int width = pixel_width & ~3;
444
445 __m128i zero = _mm_setzero_si128();
446 __m128i accum0, accum1, accum2, accum3, coeff16;
447 for (int i = 0; i < width; i += 4) { // Four pixels per iteration.
448 accum0 = _mm_setzero_si128();
449 accum1 = _mm_setzero_si128();
450 accum2 = _mm_setzero_si128();
451 accum3 = _mm_setzero_si128();
452 for (int j = 0; j < filter_length; ++j) {
453 coeff16 = _mm_set1_epi16(filter_values[j]);
454
455 // aligned load due to row_buffer is 16 byte aligned.
456 // [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
457 __m128i src8 = _mm_loadu_si128((__m128i*)(&source_data_rows[j][i<<2]));
458 // [16] a1 b1 g1 r1 a0 b0 g0 r0
459 __m128i src16 = _mm_unpacklo_epi8(src8, zero);
460 __m128i mul_hi = _mm_mulhi_epi16(src16, coeff16);
461 __m128i mul_lo = _mm_mullo_epi16(src16, coeff16);
462 // [32] a0 b0 g0 r0
463 __m128i t = _mm_unpacklo_epi16(mul_lo, mul_hi);
464 accum0 = _mm_add_epi32(accum0, t);
465 // [32] a1 b1 g1 r1
466 t = _mm_unpackhi_epi16(mul_lo, mul_hi);
467 accum1 = _mm_add_epi32(accum1, t);
468 // [16] a3 b3 g3 r3 a2 b2 g2 r2
469 src16 = _mm_unpackhi_epi8(src8, zero);
470 mul_hi = _mm_mulhi_epi16(src16, coeff16);
471 mul_lo = _mm_mullo_epi16(src16, coeff16);
472 // [32] a2 b2 g2 r2
473 t = _mm_unpacklo_epi16(mul_lo, mul_hi);
474 accum2 = _mm_add_epi32(accum2, t);
475 // [32] a3 b3 g3 r3
476 t = _mm_unpackhi_epi16(mul_lo, mul_hi);
477 accum3 = _mm_add_epi32(accum3, t);
478 }
479
480 accum0 = _mm_srai_epi32 (accum0, ConvolutionFilter1D::kShiftBits);
481 accum1 = _mm_srai_epi32 (accum1, ConvolutionFilter1D::kShiftBits);
482 accum2 = _mm_srai_epi32 (accum2, ConvolutionFilter1D::kShiftBits);
483 accum3 = _mm_srai_epi32 (accum3, ConvolutionFilter1D::kShiftBits);
484 // [16] a1 b1 g1 r1 a0 b0 g0 r0
485 accum0 = _mm_packs_epi32(accum0, accum1);
486 // [16] a3 b3 g3 r3 a2 b2 g2 r2
487 accum2 = _mm_packs_epi32(accum2, accum3);
488 // [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
489 accum0 = _mm_packus_epi16(accum0, accum2);
490
491 if (has_alpha) {
492 // [8] xx a3 b3 g3 xx a2 b2 g2 xx a1 b1 g1 xx a0 b0 g0
493 __m128i a = _mm_srli_epi32(accum0, 8);
494 // [8] xx xx xx max3 xx xx xx max2 xx xx xx max1 xx xx xx max0
495 __m128i b = _mm_max_epu8(a, accum0); // Max of r and g.
496 // [8] xx xx a3 b3 xx xx a2 b2 xx xx a1 b1 xx xx a0 b0
497 a = _mm_srli_epi32(accum0, 16);
498 // [8] xx xx xx max3 xx xx xx max2 xx xx xx max1 xx xx xx max0
499 b = _mm_max_epu8(a, b); // Max of r and g and b.
500 // [8] max3 00 00 00 max2 00 00 00 max1 00 00 00 max0 00 00 00
501 b = _mm_slli_epi32(b, 24);
502 accum0 = _mm_max_epu8(b, accum0);
503 } else {
504 __m128i mask = _mm_set_epi32(0xff000000, 0xff000000,
505 0xff000000, 0xff000000);
506 accum0 = _mm_or_si128(accum0, mask);
507 }
508 _mm_storeu_si128((__m128i*)out_row, accum0);
509 out_row += 16;
510 }
511
512 if (pixel_width & 3) {
513 accum0 = _mm_setzero_si128();
514 accum1 = _mm_setzero_si128();
515 accum2 = _mm_setzero_si128();
516 for (int j = 0; j < filter_length; ++j) {
517 coeff16 = _mm_set1_epi16(filter_values[j]);
518
519 // [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
520 __m128i src8 = _mm_loadu_si128((__m128i*)(&source_data_rows[j][width<<2]) );
521 // [16] a1 b1 g1 r1 a0 b0 g0 r0
522 __m128i src16 = _mm_unpacklo_epi8(src8, zero);
523 __m128i mul_hi = _mm_mulhi_epi16(src16, coeff16);
524 __m128i mul_lo = _mm_mullo_epi16(src16, coeff16);
525 // [32] a0 b0 g0 r0
526 __m128i t = _mm_unpacklo_epi16(mul_lo, mul_hi);
527 accum0 = _mm_add_epi32(accum0, t);
528 // [32] a1 b1 g1 r1
529 t = _mm_unpackhi_epi16(mul_lo, mul_hi);
530 accum1 = _mm_add_epi32(accum1, t);
531 // [16] a3 b3 g3 r3 a2 b2 g2 r2
532 src16 = _mm_unpackhi_epi8(src8, zero);
533 mul_hi = _mm_mulhi_epi16(src16, coeff16);
534 mul_lo = _mm_mullo_epi16(src16, coeff16);
535 // [32] a2 b2 g2 r2
536 t = _mm_unpacklo_epi16(mul_lo, mul_hi);
537 accum2 = _mm_add_epi32(accum2, t);
538 }
539
540 accum0 = _mm_srai_epi32 (accum0, ConvolutionFilter1D::kShiftBits);
541 accum1 = _mm_srai_epi32 (accum1, ConvolutionFilter1D::kShiftBits);
542 accum2 = _mm_srai_epi32 (accum2, ConvolutionFilter1D::kShiftBits);
543 // [16] a1 b1 g1 r1 a0 b0 g0 r0
544 accum0 = _mm_packs_epi32(accum0, accum1);
545 // [16] a3 b3 g3 r3 a2 b2 g2 r2
546 accum2 = _mm_packs_epi32(accum2, zero);
547 // [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
548 accum0 = _mm_packus_epi16(accum0, accum2);
549
550 if (has_alpha) {
551 // [8] xx a3 b3 g3 xx a2 b2 g2 xx a1 b1 g1 xx a0 b0 g0
552 __m128i a = _mm_srli_epi32(accum0, 8);
553 // [8] xx xx xx max3 xx xx xx max2 xx xx xx max1 xx xx xx max0
554 __m128i b = _mm_max_epu8(a, accum0); // Max of r and g.
555 // [8] xx xx a3 b3 xx xx a2 b2 xx xx a1 b1 xx xx a0 b0
556 a = _mm_srli_epi32(accum0, 16);
557 // [8] xx xx xx max3 xx xx xx max2 xx xx xx max1 xx xx xx max0
558 b = _mm_max_epu8(a, b); // Max of r and g and b.
559 // [8] max3 00 00 00 max2 00 00 00 max1 00 00 00 max0 00 00 00
560 b = _mm_slli_epi32(b, 24);
561 accum0 = _mm_max_epu8(b, accum0);
562 } else {
563 __m128i mask = _mm_set_epi32(0xff000000, 0xff000000,
564 0xff000000, 0xff000000);
565 accum0 = _mm_or_si128(accum0, mask);
566 }
567
568 for (int i = width; i < pixel_width; ++i) {
569 *(reinterpret_cast<int*>(out_row)) = _mm_cvtsi128_si32(accum0);
570 accum0 = _mm_srli_si128(accum0, 4);
571 out_row += 4;
572 }
573 }
574 #endif
575 }
576
577
222 } // namespace 578 } // namespace
223 579
224 // ConvolutionFilter1D --------------------------------------------------------- 580 // ConvolutionFilter1D ---------------------------------------------------------
225 581
226 ConvolutionFilter1D::ConvolutionFilter1D() 582 ConvolutionFilter1D::ConvolutionFilter1D()
227 : max_filter_(0) { 583 : max_filter_(0) {
228 } 584 }
229 585
230 ConvolutionFilter1D::~ConvolutionFilter1D() { 586 ConvolutionFilter1D::~ConvolutionFilter1D() {
231 } 587 }
(...skipping 53 matching lines...) Expand 10 before | Expand all | Expand 10 after
285 } 641 }
286 642
287 // BGRAConvolve2D ------------------------------------------------------------- 643 // BGRAConvolve2D -------------------------------------------------------------
288 644
289 void BGRAConvolve2D(const unsigned char* source_data, 645 void BGRAConvolve2D(const unsigned char* source_data,
290 int source_byte_row_stride, 646 int source_byte_row_stride,
291 bool source_has_alpha, 647 bool source_has_alpha,
292 const ConvolutionFilter1D& filter_x, 648 const ConvolutionFilter1D& filter_x,
293 const ConvolutionFilter1D& filter_y, 649 const ConvolutionFilter1D& filter_y,
294 int output_byte_row_stride, 650 int output_byte_row_stride,
295 unsigned char* output) { 651 unsigned char* output,
652 bool use_sse2) {
evannier 2011/02/14 23:45:13 This does not seem right to be part of the API, gi
jiesun 2011/02/15 00:19:22 also to test by comparing two version, I had to ov
296 int max_y_filter_size = filter_y.max_filter(); 653 int max_y_filter_size = filter_y.max_filter();
297 654
298 // The next row in the input that we will generate a horizontally 655 // The next row in the input that we will generate a horizontally
299 // convolved row for. If the filter doesn't start at the beginning of the 656 // convolved row for. If the filter doesn't start at the beginning of the
300 // image (this is the case when we are only resizing a subset), then we 657 // image (this is the case when we are only resizing a subset), then we
301 // don't want to generate any output rows before that. Compute the starting 658 // don't want to generate any output rows before that. Compute the starting
302 // row for convolution as the first pixel for the first vertical filter. 659 // row for convolution as the first pixel for the first vertical filter.
303 int filter_offset, filter_length; 660 int filter_offset, filter_length;
304 const ConvolutionFilter1D::Fixed* filter_values = 661 const ConvolutionFilter1D::Fixed* filter_values =
305 filter_y.FilterForValue(0, &filter_offset, &filter_length); 662 filter_y.FilterForValue(0, &filter_offset, &filter_length);
306 int next_x_row = filter_offset; 663 int next_x_row = filter_offset;
307 664
308 // We loop over each row in the input doing a horizontal convolution. This 665 // We loop over each row in the input doing a horizontal convolution. This
309 // will result in a horizontally convolved image. We write the results into 666 // will result in a horizontally convolved image. We write the results into
310 // a circular buffer of convolved rows and do vertical convolution as rows 667 // a circular buffer of convolved rows and do vertical convolution as rows
311 // are available. This prevents us from having to store the entire 668 // are available. This prevents us from having to store the entire
312 // intermediate image and helps cache coherency. 669 // intermediate image and helps cache coherency.
313 CircularRowBuffer row_buffer(filter_x.num_values(), max_y_filter_size, 670 // We will need four extra rows to allow horizontal convolution could be done
671 // simultaneously.
672 int row_buffer_width = (filter_x.num_values() + 15) & ~0xF;
673 int row_buffer_height = max_y_filter_size + (use_sse2 ? 4 : 0);
674 CircularRowBuffer row_buffer(row_buffer_width,
675 row_buffer_height,
314 filter_offset); 676 filter_offset);
315 677
316 // Loop over every possible output row, processing just enough horizontal 678 // Loop over every possible output row, processing just enough horizontal
317 // convolutions to run each subsequent vertical convolution. 679 // convolutions to run each subsequent vertical convolution.
318 SkASSERT(output_byte_row_stride >= filter_x.num_values() * 4); 680 SkASSERT(output_byte_row_stride >= filter_x.num_values() * 4);
319 int num_output_rows = filter_y.num_values(); 681 int num_output_rows = filter_y.num_values();
682
683 int last_filter_offset, last_filter_length;
684 filter_y.FilterForValue(num_output_rows-1, &last_filter_offset,
685 &last_filter_length);
686
320 for (int out_y = 0; out_y < num_output_rows; out_y++) { 687 for (int out_y = 0; out_y < num_output_rows; out_y++) {
321 filter_values = filter_y.FilterForValue(out_y, 688 filter_values = filter_y.FilterForValue(out_y,
322 &filter_offset, &filter_length); 689 &filter_offset, &filter_length);
323 690
324 // Generate output rows until we have enough to run the current filter. 691 // Generate output rows until we have enough to run the current filter.
325 while (next_x_row < filter_offset + filter_length) { 692 if (use_sse2) {
326 if (source_has_alpha) { 693 while (next_x_row < filter_offset + filter_length) {
327 ConvolveHorizontally<true>( 694 if (next_x_row + 3 < last_filter_offset + last_filter_length - 1) {
328 &source_data[next_x_row * source_byte_row_stride], 695 //if (0) {
fbarchard 2011/02/15 23:16:45 remove if you're done with this
329 filter_x, row_buffer.AdvanceRow()); 696 const unsigned char* src[4];
330 } else { 697 unsigned char* out_row[4];
331 ConvolveHorizontally<false>( 698 for (int i=0; i<4; i++) {
332 &source_data[next_x_row * source_byte_row_stride], 699 src[i] = &source_data[(next_x_row+i) * source_byte_row_stride];
333 filter_x, row_buffer.AdvanceRow()); 700 out_row[i] = row_buffer.AdvanceRow();
701 }
702 if (source_has_alpha)
703 ConvolveHorizontally4_SSE2<true>(src, filter_x, out_row);
704 else
705 ConvolveHorizontally4_SSE2<false>(src, filter_x, out_row);
706 next_x_row+=4;
707 } else {
708 // For the last row, SSE2 load possibly to access data beyond the
709 // image area. therefore we use C version here. Hacking into skia
710 // is not something in my mind.
711 if (next_x_row == last_filter_offset + last_filter_length - 1 ) {
712 if (source_has_alpha)
713 ConvolveHorizontally<true>(
714 &source_data[next_x_row * source_byte_row_stride],
715 filter_x, row_buffer.AdvanceRow());
716 else
717 ConvolveHorizontally<false>(
718 &source_data[next_x_row * source_byte_row_stride],
719 filter_x, row_buffer.AdvanceRow());
720 } else {
721 if (source_has_alpha)
722 ConvolveHorizontally_SSE2<true>(
723 &source_data[next_x_row * source_byte_row_stride],
724 filter_x, row_buffer.AdvanceRow());
725 else
726 ConvolveHorizontally_SSE2<false>(
727 &source_data[next_x_row * source_byte_row_stride],
728 filter_x, row_buffer.AdvanceRow());
729 }
730 next_x_row++;
731 }
334 } 732 }
335 next_x_row++; 733 } else {
734 while (next_x_row < filter_offset + filter_length) {
735 if (source_has_alpha) {
736 ConvolveHorizontally<true>(
737 &source_data[next_x_row * source_byte_row_stride],
738 filter_x, row_buffer.AdvanceRow());
739 } else {
740 ConvolveHorizontally<false>(
741 &source_data[next_x_row * source_byte_row_stride],
742 filter_x, row_buffer.AdvanceRow());
743 }
744 next_x_row++;
745 }
336 } 746 }
337 747
338 // Compute where in the output image this row of final data will go. 748 // Compute where in the output image this row of final data will go.
339 unsigned char* cur_output_row = &output[out_y * output_byte_row_stride]; 749 unsigned char* cur_output_row = &output[out_y * output_byte_row_stride];
340 750
341 // Get the list of rows that the circular buffer has, in order. 751 // Get the list of rows that the circular buffer has, in order.
342 int first_row_in_circular_buffer; 752 int first_row_in_circular_buffer;
343 unsigned char* const* rows_to_convolve = 753 unsigned char* const* rows_to_convolve =
344 row_buffer.GetRowAddresses(&first_row_in_circular_buffer); 754 row_buffer.GetRowAddresses(&first_row_in_circular_buffer);
345 755
346 // Now compute the start of the subset of those rows that the filter 756 // Now compute the start of the subset of those rows that the filter
347 // needs. 757 // needs.
348 unsigned char* const* first_row_for_filter = 758 unsigned char* const* first_row_for_filter =
349 &rows_to_convolve[filter_offset - first_row_in_circular_buffer]; 759 &rows_to_convolve[filter_offset - first_row_in_circular_buffer];
350 760
351 if (source_has_alpha) { 761 if (source_has_alpha) {
352 ConvolveVertically<true>(filter_values, filter_length, 762 if (use_sse2) {
353 first_row_for_filter, 763 ConvolveVertically_SSE2<true>(filter_values, filter_length,
354 filter_x.num_values(), cur_output_row); 764 first_row_for_filter,
765 filter_x.num_values(), cur_output_row);
766 } else {
767 ConvolveVertically<true>(filter_values, filter_length,
768 first_row_for_filter,
769 filter_x.num_values(), cur_output_row);
770 }
355 } else { 771 } else {
356 ConvolveVertically<false>(filter_values, filter_length, 772 if (use_sse2) {
357 first_row_for_filter, 773 ConvolveVertically_SSE2<false>(filter_values, filter_length,
358 filter_x.num_values(), cur_output_row); 774 first_row_for_filter,
775 filter_x.num_values(), cur_output_row);
776 } else {
777 ConvolveVertically<false>(filter_values, filter_length,
778 first_row_for_filter,
779 filter_x.num_values(), cur_output_row);
780 }
359 } 781 }
360 } 782 }
361 } 783 }
362 784
363 } // namespace skia 785 } // namespace skia
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