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Unified Diff: skia/ext/convolver.cc

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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Index: skia/ext/convolver.cc
diff --git a/skia/ext/convolver.cc b/skia/ext/convolver.cc
index a42a9daf32a17a3a77602f89d841de997f2787de..b5841354756375c700a7ad74dc998fc8f99b7375 100644
--- a/skia/ext/convolver.cc
+++ b/skia/ext/convolver.cc
@@ -7,6 +7,10 @@
#include "skia/ext/convolver.h"
#include "third_party/skia/include/core/SkTypes.h"
+#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.
+#include <emmintrin.h>
+#endif
+
namespace skia {
namespace {
@@ -199,7 +203,7 @@ void ConvolveVertically(const ConvolutionFilter1D::Fixed* filter_values,
if (has_alpha) {
unsigned char alpha = ClampTo8(accum[3]);
- // Make sure the alpha channel doesn't come out larger than any of the
+ // Make sure the alpha channel doesn't come out smaller than any of the
// color channels. We use premultipled alpha channels, so this should
// never happen, but rounding errors will cause this from time to time.
// These "impossible" colors will cause overflows (and hence random pixel
@@ -219,6 +223,358 @@ void ConvolveVertically(const ConvolutionFilter1D::Fixed* filter_values,
}
}
+
+// Convolves horizontally along a single row. The row data is given in
+// |src_data| and continues for the num_values() of the filter.
+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.
+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
+ 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.
+ unsigned char* out_row) {
+#ifdef ARCH_CPU_X86_FAMILY
+ 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.
+
+ int filter_offset, filter_length;
+ __m128i zero = _mm_setzero_si128();
+ 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.
+ const ConvolutionFilter1D::Fixed* filter_values =
+ filter.FilterForValue(i, &filter_offset, &filter_length);
+
+ __m128i accum = _mm_setzero_si128();
+ 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.
+ // Four filter taps per iteration.
+ for (int j = 0; j < filter_length >> 2; ++j) {
+ // [16] xx xx xx xx c3 c2 c1 c0
+ __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_
+ // [16] xx xx xx xx c1 c1 c0 c0
+ __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
+ // [16] c1 c1 c1 c1 c0 c0 c0 c0
+ coeff16 = _mm_unpacklo_epi16(coeff16, coeff16);
+
+ // [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
+ __m128i src8 = _mm_loadu_si128((__m128i*)start);
+ // [16] a1 b1 g1 r1 a0 b0 g0 r0
+ __m128i src16 = _mm_unpacklo_epi8(src8, zero);
+ __m128i mul_hi = _mm_mulhi_epi16(src16, coeff16);
evannier 2011/02/14 23:45:13 Because of the many stalls these operations might
+ __m128i mul_lo = _mm_mullo_epi16(src16, coeff16);
+ // [32] a0*c0 b0*c0 g0*c0 r0*c0
+ __m128i t = _mm_unpacklo_epi16(mul_lo, mul_hi);
+ accum = _mm_add_epi32(accum, t);
+ // [32] a1*c1 b1*c1 g1*c1 r1*c1
+ t = _mm_unpackhi_epi16(mul_lo, mul_hi);
+ accum = _mm_add_epi32(accum, t);
+
+ // [16] xx xx xx xx c3 c3 c2 c2
+ coeff16 = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(3, 3, 2, 2));
+ // [16] c3 c3 c3 c3 c2 c2 c2 c2
+ coeff16 = _mm_unpacklo_epi16(coeff16, coeff16);
+ // [16] a3 g3 b3 r3 a2 g2 b2 r2
+ src16 = _mm_unpackhi_epi8(src8, zero);
+ mul_hi = _mm_mulhi_epi16(src16, coeff16);
+ mul_lo = _mm_mullo_epi16(src16, coeff16);
+ // [32] a2*c2 b2*c2 g2*c2 r2*c2
+ t = _mm_unpacklo_epi16(mul_lo, mul_hi);
+ accum = _mm_add_epi32(accum, t);
+ // [32] a3*c3 b3*c3 g3*c3 r3*c3
+ t = _mm_unpackhi_epi16(mul_lo, mul_hi);
+ accum = _mm_add_epi32(accum, t);
+
+ start += 16;
+ filter_values += 4;
+ }
+
+ // remaining
+ int r = filter_length&3;
+ if (r) {
+ // Note: filter_values must be pad to align_up(filter_offset, 8);
evannier 2011/02/14 23:45:13 padded
+ __m128i coeff = _mm_loadl_epi64((__m128i*)filter_values);
+ // Mask out extra filter taps.
+ __m128i mask = _mm_set_epi16(0, 0, 0, 0, 0, r==3?-1:0, r>=2?-1:0, -1);
+ coeff = _mm_and_si128(coeff, mask);
+ __m128i coeff16 = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(1, 1, 0, 0));
+ coeff16 = _mm_unpacklo_epi16(coeff16, coeff16);
+
+ // 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.
+ __m128i src8 = _mm_loadu_si128((__m128i*)start);
+ __m128i src16 = _mm_unpacklo_epi8(src8, zero);
+ __m128i mul_hi = _mm_mulhi_epi16(src16, coeff16);
+ __m128i mul_lo = _mm_mullo_epi16(src16, coeff16);
+ __m128i t = _mm_unpacklo_epi16(mul_lo, mul_hi);
+ accum = _mm_add_epi32(accum, t);
+ t = _mm_unpackhi_epi16(mul_lo, mul_hi);
+ accum = _mm_add_epi32(accum, t);
+
+ src16 = _mm_unpackhi_epi8(src8, zero);
+ coeff16 = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(3, 3, 2, 2));
+ coeff16 = _mm_unpacklo_epi16(coeff16, coeff16);
+ mul_hi = _mm_mulhi_epi16(src16, coeff16);
+ mul_lo = _mm_mullo_epi16(src16, coeff16);
+ t = _mm_unpacklo_epi16(mul_lo, mul_hi);
+ accum = _mm_add_epi32(accum, t);
+ }
+
+ // shift right for fix point implementation before saturation.
+ accum = _mm_srai_epi32 (accum, ConvolutionFilter1D::kShiftBits);
+ accum = _mm_packs_epi32(accum, zero);
+ 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
+
+ *(reinterpret_cast<int*>(out_row)) = _mm_cvtsi128_si32(accum);
+ out_row += 4;
+ }
+#endif
+}
+
+// Convolves horizontally along four rows. The row data is given in
+// |src_data| and continues for the num_values() of the filter.
+template<bool has_alpha>
+void ConvolveHorizontally4_SSE2(const unsigned char* src_data[4],
+ const ConvolutionFilter1D& filter,
+ unsigned char* out_row[4]) {
+#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
+ int width = filter.num_values();
+
+ int filter_offset, filter_length;
+ __m128i zero = _mm_setzero_si128();
+
+ for (int i=0; i < width; i+=1) {
+ const ConvolutionFilter1D::Fixed* filter_values =
+ filter.FilterForValue(i, &filter_offset, &filter_length);
+
+ // four pixels in a column per iteration.
+ __m128i accum0 = _mm_setzero_si128();
+ __m128i accum1 = _mm_setzero_si128();
+ __m128i accum2 = _mm_setzero_si128();
+ __m128i accum3 = _mm_setzero_si128();
+ int start = (filter_offset<<2);
+ for (int j = 0; j < (filter_length >> 2); ++j) {
+ __m128i coeff, coeff16lo, coeff16hi;
+ // [16] xx xx xx xx c3 c2 c1 c0
+ coeff = _mm_loadl_epi64((__m128i*)filter_values);
+ // [16] xx xx xx xx c1 c1 c0 c0
+ coeff16lo = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(1, 1, 0, 0));
+ // [16] c1 c1 c1 c1 c0 c0 c0 c0
+ coeff16lo = _mm_unpacklo_epi16(coeff16lo, coeff16lo);
+ // [16] xx xx xx xx c3 c3 c2 c2
+ coeff16hi = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(3, 3, 2, 2));
+ // [16] c3 c3 c3 c3 c2 c2 c2 c2
+ coeff16hi = _mm_unpacklo_epi16(coeff16hi, coeff16hi);
+
+ __m128i src8, src16, mul_hi, mul_lo, t;
+
+#define ITERATION(src, accum) \
+ src8 = _mm_loadu_si128((__m128i*)(src)); \
+ src16 = _mm_unpacklo_epi8(src8, zero); \
+ mul_hi = _mm_mulhi_epi16(src16, coeff16lo); \
+ mul_lo = _mm_mullo_epi16(src16, coeff16lo); \
+ t = _mm_unpacklo_epi16(mul_lo, mul_hi); \
+ accum = _mm_add_epi32(accum, t); \
+ t = _mm_unpackhi_epi16(mul_lo, mul_hi); \
+ accum = _mm_add_epi32(accum, t); \
+ src16 = _mm_unpackhi_epi8(src8, zero); \
+ mul_hi = _mm_mulhi_epi16(src16, coeff16hi); \
+ mul_lo = _mm_mullo_epi16(src16, coeff16hi); \
+ t = _mm_unpacklo_epi16(mul_lo, mul_hi); \
+ accum = _mm_add_epi32(accum, t); \
+ t = _mm_unpackhi_epi16(mul_lo, mul_hi); \
+ accum = _mm_add_epi32(accum, t)
+
+ ITERATION(src_data[0]+start, accum0);
+ ITERATION(src_data[1]+start, accum1);
+ ITERATION(src_data[2]+start, accum2);
+ ITERATION(src_data[3]+start, accum3);
+
+ start += 16;
+ filter_values += 4;
+ }
+
+ int r = filter_length&3;
+ if (r) {
+ // Note: filter_values must be pad to align_up(filter_offset, 8);
+ __m128i coeff = _mm_loadl_epi64((__m128i*)filter_values);
+ __m128i mask = _mm_set_epi16(0, 0, 0, 0, 0, r==3?-1:0, r>=2?-1:0, -1);
+ coeff = _mm_and_si128(coeff, mask);
+
+ __m128i coeff16lo = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(1, 1, 0, 0));
+ /* c1 c1 c1 c1 c0 c0 c0 c0 */
+ coeff16lo = _mm_unpacklo_epi16(coeff16lo, coeff16lo);
+ __m128i coeff16hi = _mm_shufflelo_epi16(coeff, _MM_SHUFFLE(3, 3, 2, 2));
+ coeff16hi = _mm_unpacklo_epi16(coeff16hi, coeff16hi);
+
+ __m128i src8, src16, mul_hi, mul_lo, t;
+
+ ITERATION(src_data[0]+start, accum0);
+ ITERATION(src_data[1]+start, accum1);
+ ITERATION(src_data[2]+start, accum2);
+ ITERATION(src_data[3]+start, accum3);
+ }
+
+ accum0 = _mm_srai_epi32 (accum0, ConvolutionFilter1D::kShiftBits);
+ accum0 = _mm_packs_epi32(accum0, zero);
+ accum0 = _mm_packus_epi16(accum0, zero);
+ accum1 = _mm_srai_epi32 (accum1, ConvolutionFilter1D::kShiftBits);
+ accum1 = _mm_packs_epi32(accum1, zero);
+ accum1 = _mm_packus_epi16(accum1, zero);
+ accum2 = _mm_srai_epi32 (accum2, ConvolutionFilter1D::kShiftBits);
+ accum2 = _mm_packs_epi32(accum2, zero);
+ accum2 = _mm_packus_epi16(accum2, zero);
+ accum3 = _mm_srai_epi32 (accum3, ConvolutionFilter1D::kShiftBits);
+ accum3 = _mm_packs_epi32(accum3, zero);
+ accum3 = _mm_packus_epi16(accum3, zero);
+
+ *(reinterpret_cast<int*>(out_row[0])) = _mm_cvtsi128_si32(accum0);
+ *(reinterpret_cast<int*>(out_row[1])) = _mm_cvtsi128_si32(accum1);
+ *(reinterpret_cast<int*>(out_row[2])) = _mm_cvtsi128_si32(accum2);
+ *(reinterpret_cast<int*>(out_row[3])) = _mm_cvtsi128_si32(accum3);
+
+ out_row[0] += 4;
+ out_row[1] += 4;
+ out_row[2] += 4;
+ out_row[3] += 4;
+ }
+#endif
+}
+
+template<bool has_alpha>
+void ConvolveVertically_SSE2(const ConvolutionFilter1D::Fixed* filter_values,
+ int filter_length,
+ unsigned char* const* source_data_rows,
+ int pixel_width,
+ unsigned char* out_row) {
+#ifdef ARCH_CPU_X86_FAMILY
+ int width = pixel_width & ~3;
+
+ __m128i zero = _mm_setzero_si128();
+ __m128i accum0, accum1, accum2, accum3, coeff16;
+ for (int i = 0; i < width; i += 4) { // Four pixels per iteration.
+ accum0 = _mm_setzero_si128();
+ accum1 = _mm_setzero_si128();
+ accum2 = _mm_setzero_si128();
+ accum3 = _mm_setzero_si128();
+ for (int j = 0; j < filter_length; ++j) {
+ coeff16 = _mm_set1_epi16(filter_values[j]);
+
+ // aligned load due to row_buffer is 16 byte aligned.
+ // [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
+ __m128i src8 = _mm_loadu_si128((__m128i*)(&source_data_rows[j][i<<2]));
+ // [16] a1 b1 g1 r1 a0 b0 g0 r0
+ __m128i src16 = _mm_unpacklo_epi8(src8, zero);
+ __m128i mul_hi = _mm_mulhi_epi16(src16, coeff16);
+ __m128i mul_lo = _mm_mullo_epi16(src16, coeff16);
+ // [32] a0 b0 g0 r0
+ __m128i t = _mm_unpacklo_epi16(mul_lo, mul_hi);
+ accum0 = _mm_add_epi32(accum0, t);
+ // [32] a1 b1 g1 r1
+ t = _mm_unpackhi_epi16(mul_lo, mul_hi);
+ accum1 = _mm_add_epi32(accum1, t);
+ // [16] a3 b3 g3 r3 a2 b2 g2 r2
+ src16 = _mm_unpackhi_epi8(src8, zero);
+ mul_hi = _mm_mulhi_epi16(src16, coeff16);
+ mul_lo = _mm_mullo_epi16(src16, coeff16);
+ // [32] a2 b2 g2 r2
+ t = _mm_unpacklo_epi16(mul_lo, mul_hi);
+ accum2 = _mm_add_epi32(accum2, t);
+ // [32] a3 b3 g3 r3
+ t = _mm_unpackhi_epi16(mul_lo, mul_hi);
+ accum3 = _mm_add_epi32(accum3, t);
+ }
+
+ accum0 = _mm_srai_epi32 (accum0, ConvolutionFilter1D::kShiftBits);
+ accum1 = _mm_srai_epi32 (accum1, ConvolutionFilter1D::kShiftBits);
+ accum2 = _mm_srai_epi32 (accum2, ConvolutionFilter1D::kShiftBits);
+ accum3 = _mm_srai_epi32 (accum3, ConvolutionFilter1D::kShiftBits);
+ // [16] a1 b1 g1 r1 a0 b0 g0 r0
+ accum0 = _mm_packs_epi32(accum0, accum1);
+ // [16] a3 b3 g3 r3 a2 b2 g2 r2
+ accum2 = _mm_packs_epi32(accum2, accum3);
+ // [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
+ accum0 = _mm_packus_epi16(accum0, accum2);
+
+ if (has_alpha) {
+ // [8] xx a3 b3 g3 xx a2 b2 g2 xx a1 b1 g1 xx a0 b0 g0
+ __m128i a = _mm_srli_epi32(accum0, 8);
+ // [8] xx xx xx max3 xx xx xx max2 xx xx xx max1 xx xx xx max0
+ __m128i b = _mm_max_epu8(a, accum0); // Max of r and g.
+ // [8] xx xx a3 b3 xx xx a2 b2 xx xx a1 b1 xx xx a0 b0
+ a = _mm_srli_epi32(accum0, 16);
+ // [8] xx xx xx max3 xx xx xx max2 xx xx xx max1 xx xx xx max0
+ b = _mm_max_epu8(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 = _mm_slli_epi32(b, 24);
+ accum0 = _mm_max_epu8(b, accum0);
+ } else {
+ __m128i mask = _mm_set_epi32(0xff000000, 0xff000000,
+ 0xff000000, 0xff000000);
+ accum0 = _mm_or_si128(accum0, mask);
+ }
+ _mm_storeu_si128((__m128i*)out_row, accum0);
+ out_row += 16;
+ }
+
+ if (pixel_width & 3) {
+ accum0 = _mm_setzero_si128();
+ accum1 = _mm_setzero_si128();
+ accum2 = _mm_setzero_si128();
+ for (int j = 0; j < filter_length; ++j) {
+ coeff16 = _mm_set1_epi16(filter_values[j]);
+
+ // [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
+ __m128i src8 = _mm_loadu_si128((__m128i*)(&source_data_rows[j][width<<2]));
+ // [16] a1 b1 g1 r1 a0 b0 g0 r0
+ __m128i src16 = _mm_unpacklo_epi8(src8, zero);
+ __m128i mul_hi = _mm_mulhi_epi16(src16, coeff16);
+ __m128i mul_lo = _mm_mullo_epi16(src16, coeff16);
+ // [32] a0 b0 g0 r0
+ __m128i t = _mm_unpacklo_epi16(mul_lo, mul_hi);
+ accum0 = _mm_add_epi32(accum0, t);
+ // [32] a1 b1 g1 r1
+ t = _mm_unpackhi_epi16(mul_lo, mul_hi);
+ accum1 = _mm_add_epi32(accum1, t);
+ // [16] a3 b3 g3 r3 a2 b2 g2 r2
+ src16 = _mm_unpackhi_epi8(src8, zero);
+ mul_hi = _mm_mulhi_epi16(src16, coeff16);
+ mul_lo = _mm_mullo_epi16(src16, coeff16);
+ // [32] a2 b2 g2 r2
+ t = _mm_unpacklo_epi16(mul_lo, mul_hi);
+ accum2 = _mm_add_epi32(accum2, t);
+ }
+
+ accum0 = _mm_srai_epi32 (accum0, ConvolutionFilter1D::kShiftBits);
+ accum1 = _mm_srai_epi32 (accum1, ConvolutionFilter1D::kShiftBits);
+ accum2 = _mm_srai_epi32 (accum2, ConvolutionFilter1D::kShiftBits);
+ // [16] a1 b1 g1 r1 a0 b0 g0 r0
+ accum0 = _mm_packs_epi32(accum0, accum1);
+ // [16] a3 b3 g3 r3 a2 b2 g2 r2
+ accum2 = _mm_packs_epi32(accum2, zero);
+ // [8] a3 b3 g3 r3 a2 b2 g2 r2 a1 b1 g1 r1 a0 b0 g0 r0
+ accum0 = _mm_packus_epi16(accum0, accum2);
+
+ if (has_alpha) {
+ // [8] xx a3 b3 g3 xx a2 b2 g2 xx a1 b1 g1 xx a0 b0 g0
+ __m128i a = _mm_srli_epi32(accum0, 8);
+ // [8] xx xx xx max3 xx xx xx max2 xx xx xx max1 xx xx xx max0
+ __m128i b = _mm_max_epu8(a, accum0); // Max of r and g.
+ // [8] xx xx a3 b3 xx xx a2 b2 xx xx a1 b1 xx xx a0 b0
+ a = _mm_srli_epi32(accum0, 16);
+ // [8] xx xx xx max3 xx xx xx max2 xx xx xx max1 xx xx xx max0
+ b = _mm_max_epu8(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 = _mm_slli_epi32(b, 24);
+ accum0 = _mm_max_epu8(b, accum0);
+ } else {
+ __m128i mask = _mm_set_epi32(0xff000000, 0xff000000,
+ 0xff000000, 0xff000000);
+ accum0 = _mm_or_si128(accum0, mask);
+ }
+
+ for (int i = width; i < pixel_width; ++i) {
+ *(reinterpret_cast<int*>(out_row)) = _mm_cvtsi128_si32(accum0);
+ accum0 = _mm_srli_si128(accum0, 4);
+ out_row += 4;
+ }
+ }
+#endif
+}
+
+
} // namespace
// ConvolutionFilter1D ---------------------------------------------------------
@@ -292,7 +648,8 @@ void BGRAConvolve2D(const unsigned char* source_data,
const ConvolutionFilter1D& filter_x,
const ConvolutionFilter1D& filter_y,
int output_byte_row_stride,
- unsigned char* output) {
+ unsigned char* output,
+ 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
int max_y_filter_size = filter_y.max_filter();
// The next row in the input that we will generate a horizontally
@@ -310,29 +667,82 @@ void BGRAConvolve2D(const unsigned char* source_data,
// a circular buffer of convolved rows and do vertical convolution as rows
// are available. This prevents us from having to store the entire
// intermediate image and helps cache coherency.
- CircularRowBuffer row_buffer(filter_x.num_values(), max_y_filter_size,
+ // We will need four extra rows to allow horizontal convolution could be done
+ // simultaneously.
+ int row_buffer_width = (filter_x.num_values() + 15) & ~0xF;
+ int row_buffer_height = max_y_filter_size + (use_sse2 ? 4 : 0);
+ CircularRowBuffer row_buffer(row_buffer_width,
+ row_buffer_height,
filter_offset);
// Loop over every possible output row, processing just enough horizontal
// convolutions to run each subsequent vertical convolution.
SkASSERT(output_byte_row_stride >= filter_x.num_values() * 4);
int num_output_rows = filter_y.num_values();
+
+ int last_filter_offset, last_filter_length;
+ filter_y.FilterForValue(num_output_rows-1, &last_filter_offset,
+ &last_filter_length);
+
for (int out_y = 0; out_y < num_output_rows; out_y++) {
filter_values = filter_y.FilterForValue(out_y,
&filter_offset, &filter_length);
// Generate output rows until we have enough to run the current filter.
- while (next_x_row < filter_offset + filter_length) {
- if (source_has_alpha) {
- ConvolveHorizontally<true>(
- &source_data[next_x_row * source_byte_row_stride],
- filter_x, row_buffer.AdvanceRow());
- } else {
- ConvolveHorizontally<false>(
- &source_data[next_x_row * source_byte_row_stride],
- filter_x, row_buffer.AdvanceRow());
+ if (use_sse2) {
+ while (next_x_row < filter_offset + filter_length) {
+ if (next_x_row + 3 < last_filter_offset + last_filter_length - 1) {
+ //if (0) {
fbarchard 2011/02/15 23:16:45 remove if you're done with this
+ const unsigned char* src[4];
+ unsigned char* out_row[4];
+ for (int i=0; i<4; i++) {
+ src[i] = &source_data[(next_x_row+i) * source_byte_row_stride];
+ out_row[i] = row_buffer.AdvanceRow();
+ }
+ if (source_has_alpha)
+ ConvolveHorizontally4_SSE2<true>(src, filter_x, out_row);
+ else
+ ConvolveHorizontally4_SSE2<false>(src, filter_x, out_row);
+ next_x_row+=4;
+ } else {
+ // For the last row, SSE2 load possibly to access data beyond the
+ // image area. therefore we use C version here. Hacking into skia
+ // is not something in my mind.
+ if (next_x_row == last_filter_offset + last_filter_length - 1 ) {
+ if (source_has_alpha)
+ ConvolveHorizontally<true>(
+ &source_data[next_x_row * source_byte_row_stride],
+ filter_x, row_buffer.AdvanceRow());
+ else
+ ConvolveHorizontally<false>(
+ &source_data[next_x_row * source_byte_row_stride],
+ filter_x, row_buffer.AdvanceRow());
+ } else {
+ if (source_has_alpha)
+ ConvolveHorizontally_SSE2<true>(
+ &source_data[next_x_row * source_byte_row_stride],
+ filter_x, row_buffer.AdvanceRow());
+ else
+ ConvolveHorizontally_SSE2<false>(
+ &source_data[next_x_row * source_byte_row_stride],
+ filter_x, row_buffer.AdvanceRow());
+ }
+ next_x_row++;
+ }
+ }
+ } else {
+ while (next_x_row < filter_offset + filter_length) {
+ if (source_has_alpha) {
+ ConvolveHorizontally<true>(
+ &source_data[next_x_row * source_byte_row_stride],
+ filter_x, row_buffer.AdvanceRow());
+ } else {
+ ConvolveHorizontally<false>(
+ &source_data[next_x_row * source_byte_row_stride],
+ filter_x, row_buffer.AdvanceRow());
+ }
+ next_x_row++;
}
- next_x_row++;
}
// Compute where in the output image this row of final data will go.
@@ -349,13 +759,25 @@ void BGRAConvolve2D(const unsigned char* source_data,
&rows_to_convolve[filter_offset - first_row_in_circular_buffer];
if (source_has_alpha) {
- ConvolveVertically<true>(filter_values, filter_length,
- first_row_for_filter,
- filter_x.num_values(), cur_output_row);
+ if (use_sse2) {
+ ConvolveVertically_SSE2<true>(filter_values, filter_length,
+ first_row_for_filter,
+ filter_x.num_values(), cur_output_row);
+ } else {
+ ConvolveVertically<true>(filter_values, filter_length,
+ first_row_for_filter,
+ filter_x.num_values(), cur_output_row);
+ }
} else {
- ConvolveVertically<false>(filter_values, filter_length,
- first_row_for_filter,
- filter_x.num_values(), cur_output_row);
+ if (use_sse2) {
+ ConvolveVertically_SSE2<false>(filter_values, filter_length,
+ first_row_for_filter,
+ filter_x.num_values(), cur_output_row);
+ } else {
+ ConvolveVertically<false>(filter_values, filter_length,
+ first_row_for_filter,
+ filter_x.num_values(), cur_output_row);
+ }
}
}
}
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