Index: skia/ext/convolver_unittest.cc |
diff --git a/skia/ext/convolver_unittest.cc b/skia/ext/convolver_unittest.cc |
index c71a591b68ed2bccc63c9089a79a7465d66a7ded..a4405068d09f735f7846a5d722169ed561e701e6 100644 |
--- a/skia/ext/convolver_unittest.cc |
+++ b/skia/ext/convolver_unittest.cc |
@@ -212,31 +212,114 @@ TEST(Convolver, AddFilter) { |
ASSERT_EQ(0, filter_length); |
} |
-#if defined(THREAD_SANITIZER) |
-// Times out under ThreadSanitizer, http://crbug.com/134400. |
-#define MAYBE_SIMDVerification DISABLED_SIMDVerification |
-#else |
-#define MAYBE_SIMDVerification SIMDVerification |
-#endif |
-TEST(Convolver, MAYBE_SIMDVerification) { |
- int source_sizes[][2] = { |
- {1,1}, {1,2}, {1,3}, {1,4}, {1,5}, |
- {2,1}, {2,2}, {2,3}, {2,4}, {2,5}, |
- {3,1}, {3,2}, {3,3}, {3,4}, {3,5}, |
- {4,1}, {4,2}, {4,3}, {4,4}, {4,5}, |
-#ifdef NDEBUG |
- {1920, 1080}, |
- {720, 480}, |
- {1377, 523}, |
-#endif |
- {325, 241} |
-}; |
-#ifdef NDEBUG |
- int dest_sizes[][2] = { {1280, 1024}, {480, 270}, {177, 123} }; |
-#else |
- int dest_sizes[][2] = { {128, 102}, {48, 27}, {17, 13} }; |
-#endif |
+void VerifySIMD(unsigned int source_width, |
+ unsigned int source_height, |
+ unsigned int dest_width, |
+ unsigned int dest_height) { |
float filter[] = { 0.05f, -0.15f, 0.6f, 0.6f, -0.15f, 0.05f }; |
+ // Preparing convolve coefficients. |
+ ConvolutionFilter1D x_filter, y_filter; |
+ for (unsigned int p = 0; p < dest_width; ++p) { |
+ unsigned int offset = source_width * p / dest_width; |
+ EXPECT_LT(offset, source_width); |
+ x_filter.AddFilter(offset, filter, |
+ std::min<int>(arraysize(filter), |
+ source_width - offset)); |
+ } |
+ x_filter.PaddingForSIMD(); |
+ for (unsigned int p = 0; p < dest_height; ++p) { |
+ unsigned int offset = source_height * p / dest_height; |
+ y_filter.AddFilter(offset, filter, |
+ std::min<int>(arraysize(filter), |
+ source_height - offset)); |
+ } |
+ y_filter.PaddingForSIMD(); |
+ |
+ // Allocate input and output skia bitmap. |
+ SkBitmap source, result_c, result_sse; |
+ source.setConfig(SkBitmap::kARGB_8888_Config, |
+ source_width, source_height); |
+ source.allocPixels(); |
+ result_c.setConfig(SkBitmap::kARGB_8888_Config, |
+ dest_width, dest_height); |
+ result_c.allocPixels(); |
+ result_sse.setConfig(SkBitmap::kARGB_8888_Config, |
+ dest_width, dest_height); |
+ result_sse.allocPixels(); |
+ |
+ // Randomize source bitmap for testing. |
+ unsigned char* src_ptr = static_cast<unsigned char*>(source.getPixels()); |
+ for (int y = 0; y < source.height(); y++) { |
+ for (unsigned int x = 0; x < source.rowBytes(); x++) |
+ src_ptr[x] = rand() % 255; |
+ src_ptr += source.rowBytes(); |
+ } |
+ |
+ // Test both cases with different has_alpha. |
+ for (int alpha = 0; alpha < 2; alpha++) { |
+ // Convolve using C code. |
+ base::TimeTicks resize_start; |
+ base::TimeDelta delta_c, delta_sse; |
+ unsigned char* r1 = static_cast<unsigned char*>(result_c.getPixels()); |
+ unsigned char* r2 = static_cast<unsigned char*>(result_sse.getPixels()); |
+ |
+ resize_start = base::TimeTicks::Now(); |
+ BGRAConvolve2D(static_cast<const uint8*>(source.getPixels()), |
+ static_cast<int>(source.rowBytes()), |
+ (alpha != 0), x_filter, y_filter, |
+ static_cast<int>(result_c.rowBytes()), r1, false); |
+ delta_c = base::TimeTicks::Now() - resize_start; |
+ |
+ resize_start = base::TimeTicks::Now(); |
+ // Convolve using SSE2 code |
+ BGRAConvolve2D(static_cast<const uint8*>(source.getPixels()), |
+ static_cast<int>(source.rowBytes()), |
+ (alpha != 0), x_filter, y_filter, |
+ static_cast<int>(result_sse.rowBytes()), r2, true); |
+ delta_sse = base::TimeTicks::Now() - resize_start; |
+ |
+ // Unfortunately I could not enable the performance check now. |
+ // Most bots use debug version, and there are great difference between |
+ // the code generation for intrinsic, etc. In release version speed |
+ // difference was 150%-200% depend on alpha channel presence; |
+ // while in debug version speed difference was 96%-120%. |
+ // TODO(jiesun): optimize further until we could enable this for |
+ // debug version too. |
+ // EXPECT_LE(delta_sse, delta_c); |
+ |
+ int64 c_us = delta_c.InMicroseconds(); |
+ int64 sse_us = delta_sse.InMicroseconds(); |
+ VLOG(1) << "from:" << source_width << "x" << source_height |
+ << " to:" << dest_width << "x" << dest_height |
+ << (alpha ? " with alpha" : " w/o alpha"); |
+ VLOG(1) << "c:" << c_us << " sse:" << sse_us; |
+ VLOG(1) << "ratio:" << static_cast<float>(c_us) / sse_us; |
+ |
+ // Comparing result. |
+ for (unsigned int i = 0; i < dest_height; i++) { |
+ EXPECT_FALSE(memcmp(r1, r2, dest_width * 4)); // RGBA always |
+ r1 += result_c.rowBytes(); |
+ r2 += result_sse.rowBytes(); |
+ } |
+ } |
+} |
+ |
+TEST(Convolver, VerifySIMDEdgeCases) { |
+ srand(static_cast<unsigned int>(time(0))); |
+ // Loop over all possible (small) image sizes |
+ for (unsigned int width = 1; width < 20; width++) { |
+ for (unsigned int height = 1; height < 20; height++) { |
+ VerifySIMD(width, height, 8, 8); |
+ VerifySIMD(8, 8, width, height); |
+ } |
+ } |
+} |
+ |
+// Verify that lage upscales/downscales produce the same result |
+// with and without SIMD. |
+TEST(Convolver, VerifySIMDPrecision) { |
+ int source_sizes[][2] = { {1920, 1080}, {1377, 523}, {325, 241} }; |
+ int dest_sizes[][2] = { {1280, 1024}, {177, 123} }; |
Stephen White
2014/02/25 21:13:59
I'm surprised these run in reasonable time in DEBU
hubbe
2014/02/25 21:59:18
A good chunk of time was spent comparing the image
|
srand(static_cast<unsigned int>(time(0))); |
@@ -247,94 +330,7 @@ TEST(Convolver, MAYBE_SIMDVerification) { |
for (unsigned int j = 0; j < arraysize(dest_sizes); ++j) { |
unsigned int dest_width = dest_sizes[j][0]; |
unsigned int dest_height = dest_sizes[j][1]; |
- |
- // Preparing convolve coefficients. |
- ConvolutionFilter1D x_filter, y_filter; |
- for (unsigned int p = 0; p < dest_width; ++p) { |
- unsigned int offset = source_width * p / dest_width; |
- EXPECT_LT(offset, source_width); |
- x_filter.AddFilter(offset, filter, |
- std::min<int>(arraysize(filter), |
- source_width - offset)); |
- } |
- x_filter.PaddingForSIMD(); |
- for (unsigned int p = 0; p < dest_height; ++p) { |
- unsigned int offset = source_height * p / dest_height; |
- y_filter.AddFilter(offset, filter, |
- std::min<int>(arraysize(filter), |
- source_height - offset)); |
- } |
- y_filter.PaddingForSIMD(); |
- |
- // Allocate input and output skia bitmap. |
- SkBitmap source, result_c, result_sse; |
- source.setConfig(SkBitmap::kARGB_8888_Config, |
- source_width, source_height); |
- source.allocPixels(); |
- result_c.setConfig(SkBitmap::kARGB_8888_Config, |
- dest_width, dest_height); |
- result_c.allocPixels(); |
- result_sse.setConfig(SkBitmap::kARGB_8888_Config, |
- dest_width, dest_height); |
- result_sse.allocPixels(); |
- |
- // Randomize source bitmap for testing. |
- unsigned char* src_ptr = static_cast<unsigned char*>(source.getPixels()); |
- for (int y = 0; y < source.height(); y++) { |
- for (unsigned int x = 0; x < source.rowBytes(); x++) |
- src_ptr[x] = rand() % 255; |
- src_ptr += source.rowBytes(); |
- } |
- |
- // Test both cases with different has_alpha. |
- for (int alpha = 0; alpha < 2; alpha++) { |
- // Convolve using C code. |
- base::TimeTicks resize_start; |
- base::TimeDelta delta_c, delta_sse; |
- unsigned char* r1 = static_cast<unsigned char*>(result_c.getPixels()); |
- unsigned char* r2 = static_cast<unsigned char*>(result_sse.getPixels()); |
- |
- resize_start = base::TimeTicks::Now(); |
- BGRAConvolve2D(static_cast<const uint8*>(source.getPixels()), |
- static_cast<int>(source.rowBytes()), |
- (alpha != 0), x_filter, y_filter, |
- static_cast<int>(result_c.rowBytes()), r1, false); |
- delta_c = base::TimeTicks::Now() - resize_start; |
- |
- resize_start = base::TimeTicks::Now(); |
- // Convolve using SSE2 code |
- BGRAConvolve2D(static_cast<const uint8*>(source.getPixels()), |
- static_cast<int>(source.rowBytes()), |
- (alpha != 0), x_filter, y_filter, |
- static_cast<int>(result_sse.rowBytes()), r2, true); |
- delta_sse = base::TimeTicks::Now() - resize_start; |
- |
- // Unfortunately I could not enable the performance check now. |
- // Most bots use debug version, and there are great difference between |
- // the code generation for intrinsic, etc. In release version speed |
- // difference was 150%-200% depend on alpha channel presence; |
- // while in debug version speed difference was 96%-120%. |
- // TODO(jiesun): optimize further until we could enable this for |
- // debug version too. |
- // EXPECT_LE(delta_sse, delta_c); |
- |
- int64 c_us = delta_c.InMicroseconds(); |
- int64 sse_us = delta_sse.InMicroseconds(); |
- VLOG(1) << "from:" << source_width << "x" << source_height |
- << " to:" << dest_width << "x" << dest_height |
- << (alpha ? " with alpha" : " w/o alpha"); |
- VLOG(1) << "c:" << c_us << " sse:" << sse_us; |
- VLOG(1) << "ratio:" << static_cast<float>(c_us) / sse_us; |
- |
- // Comparing result. |
- for (unsigned int i = 0; i < dest_height; i++) { |
- for (unsigned int x = 0; x < dest_width * 4; x++) { // RGBA always. |
- EXPECT_EQ(r1[x], r2[x]); |
- } |
- r1 += result_c.rowBytes(); |
- r2 += result_sse.rowBytes(); |
- } |
- } |
+ VerifySIMD(source_width, source_height, dest_width, dest_height); |
} |
} |
} |