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

Issue 20749003: add scalar stubs for neon functions to give arm guys a place to work (Closed) Base URL: https://skia.googlecode.com/svn/trunk
Patch Set: Created 7 years, 5 months ago
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1 /* 1 /*
2 * Copyright 2009 The Android Open Source Project 2 * Copyright 2009 The Android Open Source Project
3 * 3 *
4 * Use of this source code is governed by a BSD-style license that can be 4 * Use of this source code is governed by a BSD-style license that can be
5 * found in the LICENSE file. 5 * found in the LICENSE file.
6 */ 6 */
7 7
8 8
9 #include "SkBitmapProcState.h" 9 #include "SkBitmapProcState.h"
10 #include "SkColorPriv.h" 10 #include "SkColorPriv.h"
11 #include "SkPaint.h" 11 #include "SkPaint.h"
12 #include "SkTypes.h" 12 #include "SkTypes.h"
13 #include "SkUtils.h" 13 #include "SkUtils.h"
14 #include "SkUtilsArm.h"
15
16 #include "SkConvolver.h"
14 17
15 #if SK_ARM_ARCH >= 6 && !defined(SK_CPU_BENDIAN) 18 #if SK_ARM_ARCH >= 6 && !defined(SK_CPU_BENDIAN)
16 void SI8_D16_nofilter_DX_arm( 19 void SI8_D16_nofilter_DX_arm(
17 const SkBitmapProcState& s, 20 const SkBitmapProcState& s,
18 const uint32_t* SK_RESTRICT xy, 21 const uint32_t* SK_RESTRICT xy,
19 int count, 22 int count,
20 uint16_t* SK_RESTRICT colors) SK_ATTRIBUTE_OPTIMIZE_O1; 23 uint16_t* SK_RESTRICT colors) SK_ATTRIBUTE_OPTIMIZE_O1;
21 24
22 void SI8_D16_nofilter_DX_arm(const SkBitmapProcState& s, 25 void SI8_D16_nofilter_DX_arm(const SkBitmapProcState& s,
23 const uint32_t* SK_RESTRICT xy, 26 const uint32_t* SK_RESTRICT xy,
(...skipping 188 matching lines...) Expand 10 before | Expand all | Expand 10 after
212 fShaderProc32 = NULL; 215 fShaderProc32 = NULL;
213 } 216 }
214 } 217 }
215 #endif 218 #endif
216 break; 219 break;
217 default: 220 default:
218 break; 221 break;
219 } 222 }
220 } 223 }
221 224
225 /////////////////////////////////////
226
227 /* FUNCTIONS BELOW ARE SCALAR STUBS INTENDED FOR ARM DEVELOPERS TO REPLACE */
228
229 /////////////////////////////////////
230
231
232 static inline unsigned char ClampTo8(int a) {
233 if (static_cast<unsigned>(a) < 256) {
234 return a; // Avoid the extra check in the common case.
235 }
236 if (a < 0) {
237 return 0;
238 }
239 return 255;
240 }
241
242 // Convolves horizontally along a single row. The row data is given in
243 // |srcData| and continues for the numValues() of the filter.
244 void convolveHorizontally_arm(const unsigned char* srcData,
245 const SkConvolutionFilter1D& filter,
246 unsigned char* outRow,
247 bool hasAlpha) {
248 // Loop over each pixel on this row in the output image.
249 int numValues = filter.numValues();
250 for (int outX = 0; outX < numValues; outX++) {
251 // Get the filter that determines the current output pixel.
252 int filterOffset, filterLength;
253 const SkConvolutionFilter1D::ConvolutionFixed* filterValues =
254 filter.FilterForValue(outX, &filterOffset, &filterLength);
255
256 // Compute the first pixel in this row that the filter affects. It will
257 // touch |filterLength| pixels (4 bytes each) after this.
258 const unsigned char* rowToFilter = &srcData[filterOffset * 4];
259
260 // Apply the filter to the row to get the destination pixel in |accum|.
261 int accum[4] = {0};
262 for (int filterX = 0; filterX < filterLength; filterX++) {
263 SkConvolutionFilter1D::ConvolutionFixed curFilter = filterValues[fil terX];
264 accum[0] += curFilter * rowToFilter[filterX * 4 + 0];
265 accum[1] += curFilter * rowToFilter[filterX * 4 + 1];
266 accum[2] += curFilter * rowToFilter[filterX * 4 + 2];
267 if (hasAlpha) {
268 accum[3] += curFilter * rowToFilter[filterX * 4 + 3];
269 }
270 }
271
272 // Bring this value back in range. All of the filter scaling factors
273 // are in fixed point with kShiftBits bits of fractional part.
274 accum[0] >>= SkConvolutionFilter1D::kShiftBits;
275 accum[1] >>= SkConvolutionFilter1D::kShiftBits;
276 accum[2] >>= SkConvolutionFilter1D::kShiftBits;
277 if (hasAlpha) {
278 accum[3] >>= SkConvolutionFilter1D::kShiftBits;
279 }
280
281 // Store the new pixel.
282 outRow[outX * 4 + 0] = ClampTo8(accum[0]);
283 outRow[outX * 4 + 1] = ClampTo8(accum[1]);
284 outRow[outX * 4 + 2] = ClampTo8(accum[2]);
285 if (hasAlpha) {
286 outRow[outX * 4 + 3] = ClampTo8(accum[3]);
287 }
288 }
289 }
290
291 // Does vertical convolution to produce one output row. The filter values and
292 // length are given in the first two parameters. These are applied to each
293 // of the rows pointed to in the |sourceDataRows| array, with each row
294 // being |pixelWidth| wide.
295 //
296 // The output must have room for |pixelWidth * 4| bytes.
297 template<bool hasAlpha>
298 void convolveVertically_arm(const SkConvolutionFilter1D::ConvolutionFixed* f ilterValues,
299 int filterLength,
300 unsigned char* const* sourceDataRows,
301 int pixelWidth,
302 unsigned char* outRow) {
303 // We go through each column in the output and do a vertical convolution ,
304 // generating one output pixel each time.
305 for (int outX = 0; outX < pixelWidth; outX++) {
306 // Compute the number of bytes over in each row that the current col umn
307 // we're convolving starts at. The pixel will cover the next 4 bytes .
308 int byteOffset = outX * 4;
309
310 // Apply the filter to one column of pixels.
311 int accum[4] = {0};
312 for (int filterY = 0; filterY < filterLength; filterY++) {
313 SkConvolutionFilter1D::ConvolutionFixed curFilter = filterValues [filterY];
314 accum[0] += curFilter * sourceDataRows[filterY][byteOffset + 0];
315 accum[1] += curFilter * sourceDataRows[filterY][byteOffset + 1];
316 accum[2] += curFilter * sourceDataRows[filterY][byteOffset + 2];
317 if (hasAlpha) {
318 accum[3] += curFilter * sourceDataRows[filterY][byteOffset + 3];
319 }
320 }
321
322 // Bring this value back in range. All of the filter scaling factors
323 // are in fixed point with kShiftBits bits of precision.
324 accum[0] >>= SkConvolutionFilter1D::kShiftBits;
325 accum[1] >>= SkConvolutionFilter1D::kShiftBits;
326 accum[2] >>= SkConvolutionFilter1D::kShiftBits;
327 if (hasAlpha) {
328 accum[3] >>= SkConvolutionFilter1D::kShiftBits;
329 }
330
331 // Store the new pixel.
332 outRow[byteOffset + 0] = ClampTo8(accum[0]);
333 outRow[byteOffset + 1] = ClampTo8(accum[1]);
334 outRow[byteOffset + 2] = ClampTo8(accum[2]);
335 if (hasAlpha) {
336 unsigned char alpha = ClampTo8(accum[3]);
337
338 // Make sure the alpha channel doesn't come out smaller than any of the
339 // color channels. We use premultipled alpha channels, so this s hould
340 // never happen, but rounding errors will cause this from time t o time.
341 // These "impossible" colors will cause overflows (and hence ran dom pixel
342 // values) when the resulting bitmap is drawn to the screen.
343 //
344 // We only need to do this when generating the final output row (here).
345 int maxColorChannel = SkTMax(outRow[byteOffset + 0],
346 SkTMax(outRow[byteOffset + 1],
347 outRow[byteOffset + 2]));
348 if (alpha < maxColorChannel) {
349 outRow[byteOffset + 3] = maxColorChannel;
350 } else {
351 outRow[byteOffset + 3] = alpha;
352 }
353 } else {
354 // No alpha channel, the image is opaque.
355 outRow[byteOffset + 3] = 0xff;
356 }
357 }
358 }
359
360 void convolveVertically_arm(const SkConvolutionFilter1D::ConvolutionFixed* filte rValues,
361 int filterLength,
362 unsigned char* const* sourceDataRows,
363 int pixelWidth,
364 unsigned char* outRow,
365 bool sourceHasAlpha) {
366 if (sourceHasAlpha) {
367 convolveVertically_arm<true>(filterValues, filterLength,
368 sourceDataRows, pixelWidth,
369 outRow);
370 } else {
371 convolveVertically_arm<false>(filterValues, filterLength,
372 sourceDataRows, pixelWidth,
373 outRow);
374 }
375 }
376
377 // Convolves horizontally along four rows. The row data is given in
378 // |src_data| and continues for the num_values() of the filter.
379 // The algorithm is almost same as |ConvolveHorizontally_SSE2|. Please
380 // refer to that function for detailed comments.
381 void convolve4RowsHorizontally_arm(const unsigned char* src_data[4],
382 const SkConvolutionFilter1D& filter,
383 unsigned char* out_row[4]) {
384 }
385
386 ///////////////////////////
387
388 /* STOP REWRITING FUNCTIONS HERE, BUT DON'T FORGET TO EDIT THE
389 PLATFORM CONVOLUTION PROCS BELOW */
390
391 ///////////////////////////
392
393 void applySIMDPadding_arm(SkConvolutionFilter1D *filter) {
394 // Padding |paddingCount| of more dummy coefficients after the coefficients
395 // of last filter to prevent SIMD instructions which load 8 or 16 bytes
396 // together to access invalid memory areas. We are not trying to align the
397 // coefficients right now due to the opaqueness of <vector> implementation.
398 // This has to be done after all |AddFilter| calls.
399 for (int i = 0; i < 8; ++i) {
400 filter->addFilterValue(static_cast<SkConvolutionFilter1D::ConvolutionFix ed>(0));
401 }
402 }
403
222 void SkBitmapProcState::platformConvolutionProcs() { 404 void SkBitmapProcState::platformConvolutionProcs() {
223 // no specialization for ARM here yet. 405 if (sk_cpu_arm_has_neon()) {
224 } 406 fConvolutionProcs->fExtraHorizontalReads = 3;
407 fConvolutionProcs->fConvolveVertically = &convolveVertically_arm;
408
409 // next line is commented out because the four-row convolution function above is
410 // just a no-op. Please see the comment above its definition, and the S SE implementation
411 // in SkBitmapProcState_opts_SSE2.cpp for guidance on its semantics.
412 // leaving it as NULL will just cause the convolution system to not atte mpt
413 // to operate on four rows at once, which is correct but not performance -optimal.
414
415 // fConvolutionProcs->fConvolve4RowsHorizontally = &convolve4RowsHorizon tally_arm;
416
417 fConvolutionProcs->fConvolve4RowsHorizontally = NULL;
418
419 fConvolutionProcs->fConvolveHorizontally = &convolveHorizontally_arm;
420 fConvolutionProcs->fApplySIMDPadding = &applySIMDPadding_arm;
421 }
422 }
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