convolve8 sse2 test
This experiment shows that when frame size is 64x64 vpx_highbd_convolve8_sse2 and vpx_convolve8_sse2's speed are similar. However when frame size becomes 1024x1024 vpx_highbd_convolve8_sse2 is around 50% slower than vpx_convolve8_sse2 we think the bottleneck is from memory IO VP10ConvolveTest.vpx_highbd_convolve8_sse2_speed_8_64 VP10ConvolveTest.vpx_highbd_convolve8_sse2_speed_8_64 (17 ms) VP10ConvolveTest.vpx_highbd_convolve8_sse2_speed_16_64 VP10ConvolveTest.vpx_highbd_convolve8_sse2_speed_16_64 (42 ms) VP10ConvolveTest.vpx_highbd_convolve8_sse2_speed_32_64 VP10ConvolveTest.vpx_highbd_convolve8_sse2_speed_32_64 (139 ms) VP10ConvolveTest.vpx_highbd_convolve8_sse2_speed_64_64 VP10ConvolveTest.vpx_highbd_convolve8_sse2_speed_64_64 (499 ms) VP10ConvolveTest.vpx_convolve8_sse2_speed_l_8_64 VP10ConvolveTest.vpx_convolve8_sse2_speed_l_8_64 (16 ms) VP10ConvolveTest.vpx_convolve8_sse2_speed_l_16_64 VP10ConvolveTest.vpx_convolve8_sse2_speed_l_16_64 (40 ms) VP10ConvolveTest.vpx_convolve8_sse2_speed_l_32_64 VP10ConvolveTest.vpx_convolve8_sse2_speed_l_32_64 (130 ms) VP10ConvolveTest.vpx_convolve8_sse2_speed_l_64_64 VP10ConvolveTest.vpx_convolve8_sse2_speed_l_64_64 (485 ms) VP10ConvolveTest.vpx_highbd_convolve8_sse2_speed_8_1024 VP10ConvolveTest.vpx_highbd_convolve8_sse2_speed_8_1024 (32 ms) VP10ConvolveTest.vpx_highbd_convolve8_sse2_speed_16_1024 VP10ConvolveTest.vpx_highbd_convolve8_sse2_speed_16_1024 (61 ms) VP10ConvolveTest.vpx_highbd_convolve8_sse2_speed_32_1024 VP10ConvolveTest.vpx_highbd_convolve8_sse2_speed_32_1024 (196 ms) VP10ConvolveTest.vpx_highbd_convolve8_sse2_speed_64_1024 VP10ConvolveTest.vpx_highbd_convolve8_sse2_speed_64_1024 (694 ms) VP10ConvolveTest.vpx_convolve8_sse2_speed_l_8_1024 VP10ConvolveTest.vpx_convolve8_sse2_speed_l_8_1024 (21 ms) VP10ConvolveTest.vpx_convolve8_sse2_speed_l_16_1024 VP10ConvolveTest.vpx_convolve8_sse2_speed_l_16_1024 (44 ms) VP10ConvolveTest.vpx_convolve8_sse2_speed_l_32_1024 VP10ConvolveTest.vpx_convolve8_sse2_speed_l_32_1024 (138 ms) VP10ConvolveTest.vpx_convolve8_sse2_speed_l_64_1024 VP10ConvolveTest.vpx_convolve8_sse2_speed_l_64_1024 (491 ms) Change-Id: I3131a031e0380e8eae748cfcccc6cbb961d05943
This commit is contained in:
Angie Chiang
Родитель
961668c91c
Коммит
8878fa4f9a
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@ -5,6 +5,7 @@
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#include "vp10/common/filter.h"
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#include "vp10/common/vp10_convolve.h"
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#include "vpx_dsp/vpx_dsp_common.h"
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#include "vpx_ports/mem.h"
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using libvpx_test::ACMRandom;
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@ -247,4 +248,132 @@ TEST(VP10ConvolveTest, vp10_highbd_convolve_avg) {
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EXPECT_EQ(dst[0], ROUND_POWER_OF_TWO(dst0[0] + dst1[0], 1));
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}
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#endif // CONFIG_VP9_HIGHBITDEPTH
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#define CONVOLVE_SPEED_TEST 0
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#if CONVOLVE_SPEED_TEST
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#define highbd_convolve_speed(func, block_size, frame_size) \
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TEST(VP10ConvolveTest, func##_speed_##block_size##_##frame_size) { \
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ACMRandom rnd(ACMRandom::DeterministicSeed()); \
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INTERP_FILTER interp_filter = EIGHTTAP; \
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InterpFilterParams filter_params = \
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vp10_get_interp_filter_params(interp_filter); \
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ptrdiff_t filter_size = filter_params.tap; \
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int filter_center = filter_size / 2 - 1; \
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DECLARE_ALIGNED(16, uint16_t, \
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src[(frame_size + 7) * (frame_size + 7)]) = {0}; \
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int src_stride = frame_size + 7; \
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DECLARE_ALIGNED(16, uint16_t, dst[frame_size * frame_size]) = {0}; \
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int dst_stride = frame_size; \
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int x_step_q4 = 16; \
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int y_step_q4 = 16; \
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int subpel_x_q4 = 8; \
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int subpel_y_q4 = 6; \
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int bd = 10; \
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\
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int w = block_size; \
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int h = block_size; \
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\
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const int16_t* filter_x = \
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vp10_get_interp_filter_kernel(filter_params, subpel_x_q4); \
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const int16_t* filter_y = \
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vp10_get_interp_filter_kernel(filter_params, subpel_y_q4); \
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\
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for (int i = 0; i < src_stride * src_stride; i++) { \
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src[i] = rnd.Rand16() % (1 << bd); \
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} \
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\
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int offset = filter_center * src_stride + filter_center; \
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int row_offset = 0; \
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int col_offset = 0; \
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for (int i = 0; i < 100000; i++) { \
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int src_total_offset = offset + col_offset * src_stride + row_offset; \
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int dst_total_offset = col_offset * dst_stride + row_offset; \
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func(CONVERT_TO_BYTEPTR(src + src_total_offset), src_stride, \
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CONVERT_TO_BYTEPTR(dst + dst_total_offset), dst_stride, filter_x, \
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x_step_q4, filter_y, y_step_q4, w, h, bd); \
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if (offset + w + w < frame_size) { \
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row_offset += w; \
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} else { \
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row_offset = 0; \
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col_offset += h; \
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} \
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if (col_offset + h >= frame_size) { \
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col_offset = 0; \
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} \
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} \
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}
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#define lowbd_convolve_speed(func, block_size, frame_size) \
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TEST(VP10ConvolveTest, func##_speed_l_##block_size##_##frame_size) { \
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ACMRandom rnd(ACMRandom::DeterministicSeed()); \
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INTERP_FILTER interp_filter = EIGHTTAP; \
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InterpFilterParams filter_params = \
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vp10_get_interp_filter_params(interp_filter); \
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ptrdiff_t filter_size = filter_params.tap; \
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int filter_center = filter_size / 2 - 1; \
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DECLARE_ALIGNED(16, uint8_t, src[(frame_size + 7) * (frame_size + 7)]); \
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int src_stride = frame_size + 7; \
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DECLARE_ALIGNED(16, uint8_t, dst[frame_size * frame_size]); \
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int dst_stride = frame_size; \
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int x_step_q4 = 16; \
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int y_step_q4 = 16; \
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int subpel_x_q4 = 8; \
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int subpel_y_q4 = 6; \
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int bd = 8; \
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\
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int w = block_size; \
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int h = block_size; \
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\
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const int16_t* filter_x = \
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vp10_get_interp_filter_kernel(filter_params, subpel_x_q4); \
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const int16_t* filter_y = \
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vp10_get_interp_filter_kernel(filter_params, subpel_y_q4); \
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\
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for (int i = 0; i < src_stride * src_stride; i++) { \
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src[i] = rnd.Rand16() % (1 << bd); \
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} \
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\
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int offset = filter_center * src_stride + filter_center; \
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int row_offset = 0; \
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int col_offset = 0; \
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for (int i = 0; i < 100000; i++) { \
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func(src + offset, src_stride, dst, dst_stride, filter_x, x_step_q4, \
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filter_y, y_step_q4, w, h); \
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if (offset + w + w < frame_size) { \
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row_offset += w; \
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} else { \
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row_offset = 0; \
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col_offset += h; \
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} \
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if (col_offset + h >= frame_size) { \
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col_offset = 0; \
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} \
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} \
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}
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// This experiment shows that when frame size is 64x64
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// vpx_highbd_convolve8_sse2 and vpx_convolve8_sse2's speed are similar.
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// However when frame size becomes 1024x1024
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// vpx_highbd_convolve8_sse2 is around 50% slower than vpx_convolve8_sse2
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// we think the bottleneck is from memory IO
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highbd_convolve_speed(vpx_highbd_convolve8_sse2, 8, 64);
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highbd_convolve_speed(vpx_highbd_convolve8_sse2, 16, 64);
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highbd_convolve_speed(vpx_highbd_convolve8_sse2, 32, 64);
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highbd_convolve_speed(vpx_highbd_convolve8_sse2, 64, 64);
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lowbd_convolve_speed(vpx_convolve8_sse2, 8, 64);
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lowbd_convolve_speed(vpx_convolve8_sse2, 16, 64);
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lowbd_convolve_speed(vpx_convolve8_sse2, 32, 64);
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lowbd_convolve_speed(vpx_convolve8_sse2, 64, 64);
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highbd_convolve_speed(vpx_highbd_convolve8_sse2, 8, 1024);
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highbd_convolve_speed(vpx_highbd_convolve8_sse2, 16, 1024);
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highbd_convolve_speed(vpx_highbd_convolve8_sse2, 32, 1024);
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highbd_convolve_speed(vpx_highbd_convolve8_sse2, 64, 1024);
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lowbd_convolve_speed(vpx_convolve8_sse2, 8, 1024);
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lowbd_convolve_speed(vpx_convolve8_sse2, 16, 1024);
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lowbd_convolve_speed(vpx_convolve8_sse2, 32, 1024);
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lowbd_convolve_speed(vpx_convolve8_sse2, 64, 1024);
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#endif // CONVOLVE_SPEED_TEST
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} // namespace
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