зеркало из https://github.com/mozilla/gecko-dev.git
706 строки
30 KiB
C++
706 строки
30 KiB
C++
/*
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* Copyright (c) 2016, Alliance for Open Media. All rights reserved
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*
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* This source code is subject to the terms of the BSD 2 Clause License and
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* the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License
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* was not distributed with this source code in the LICENSE file, you can
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* obtain it at www.aomedia.org/license/software. If the Alliance for Open
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* Media Patent License 1.0 was not distributed with this source code in the
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* PATENTS file, you can obtain it at www.aomedia.org/license/patent.
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*/
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#include "test/av1_convolve_2d_test_util.h"
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#include "aom_ports/aom_timer.h"
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#include "av1/common/common_data.h"
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#include "av1/common/convolve.h"
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using ::testing::make_tuple;
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using ::testing::tuple;
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namespace libaom_test {
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const int kMaxSize = 128 + 32; // padding
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namespace AV1Convolve2D {
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::testing::internal::ParamGenerator<Convolve2DParam> BuildParams(
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convolve_2d_func filter, int has_subx, int has_suby) {
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return ::testing::Combine(::testing::Values(filter),
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::testing::Values(has_subx),
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::testing::Values(has_suby),
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::testing::Range(BLOCK_4X4, BLOCK_SIZES_ALL));
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}
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AV1Convolve2DSrTest::~AV1Convolve2DSrTest() {}
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void AV1Convolve2DSrTest::SetUp() {
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rnd_.Reset(ACMRandom::DeterministicSeed());
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}
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void AV1Convolve2DSrTest::TearDown() { libaom_test::ClearSystemState(); }
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void AV1Convolve2DSrTest::RunCheckOutput(convolve_2d_func test_impl) {
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const int w = kMaxSize, h = kMaxSize;
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const int has_subx = GET_PARAM(1);
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const int has_suby = GET_PARAM(2);
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const int block_idx = GET_PARAM(3);
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int hfilter, vfilter, subx, suby;
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uint8_t input[kMaxSize * kMaxSize];
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DECLARE_ALIGNED(32, uint8_t, output[MAX_SB_SQUARE]);
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DECLARE_ALIGNED(32, uint8_t, output2[MAX_SB_SQUARE]);
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for (int i = 0; i < h; ++i)
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for (int j = 0; j < w; ++j) input[i * w + j] = rnd_.Rand8();
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for (int i = 0; i < MAX_SB_SQUARE; ++i)
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output[i] = output2[i] = rnd_.Rand31();
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// Make sure that sizes 2xN and Nx2 are also tested for chroma.
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const int num_sizes =
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(block_size_wide[block_idx] == 4 || block_size_high[block_idx] == 4) ? 2
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: 1;
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for (int shift = 0; shift < num_sizes; ++shift) { // luma and chroma
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const int out_w = block_size_wide[block_idx] >> shift;
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const int out_h = block_size_high[block_idx] >> shift;
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for (hfilter = EIGHTTAP_REGULAR; hfilter < INTERP_FILTERS_ALL; ++hfilter) {
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for (vfilter = EIGHTTAP_REGULAR; vfilter < INTERP_FILTERS_ALL;
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++vfilter) {
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const InterpFilterParams *filter_params_x =
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av1_get_interp_filter_params_with_block_size((InterpFilter)hfilter,
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out_w);
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const InterpFilterParams *filter_params_y =
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av1_get_interp_filter_params_with_block_size((InterpFilter)vfilter,
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out_h);
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for (int do_average = 0; do_average < 1; ++do_average) {
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ConvolveParams conv_params1 =
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get_conv_params_no_round(do_average, 0, NULL, 0, 0, 8);
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ConvolveParams conv_params2 =
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get_conv_params_no_round(do_average, 0, NULL, 0, 0, 8);
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const int subx_range = has_subx ? 16 : 1;
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const int suby_range = has_suby ? 16 : 1;
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for (subx = 0; subx < subx_range; ++subx) {
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for (suby = 0; suby < suby_range; ++suby) {
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// Choose random locations within the source block
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const int offset_r = 3 + rnd_.PseudoUniform(h - out_h - 7);
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const int offset_c = 3 + rnd_.PseudoUniform(w - out_w - 7);
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av1_convolve_2d_sr_c(input + offset_r * w + offset_c, w, output,
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MAX_SB_SIZE, out_w, out_h, filter_params_x,
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filter_params_y, subx, suby, &conv_params1);
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test_impl(input + offset_r * w + offset_c, w, output2,
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MAX_SB_SIZE, out_w, out_h, filter_params_x,
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filter_params_y, subx, suby, &conv_params2);
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if (memcmp(output, output2, sizeof(output))) {
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for (int i = 0; i < MAX_SB_SIZE; ++i) {
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for (int j = 0; j < MAX_SB_SIZE; ++j) {
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int idx = i * MAX_SB_SIZE + j;
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ASSERT_EQ(output[idx], output2[idx])
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<< out_w << "x" << out_h << " Pixel mismatch at index "
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<< idx << " = (" << i << ", " << j
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<< "), sub pixel offset = (" << suby << ", " << subx
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<< ")";
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}
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}
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}
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}
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}
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}
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}
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}
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}
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}
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void AV1Convolve2DSrTest::RunSpeedTest(convolve_2d_func test_impl) {
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const int w = kMaxSize, h = kMaxSize;
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const int has_subx = GET_PARAM(1);
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const int has_suby = GET_PARAM(2);
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const int block_idx = GET_PARAM(3);
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uint8_t input[kMaxSize * kMaxSize];
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DECLARE_ALIGNED(32, uint8_t, output[MAX_SB_SQUARE]);
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for (int i = 0; i < h; ++i)
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for (int j = 0; j < w; ++j) input[i * w + j] = rnd_.Rand8();
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int hfilter = EIGHTTAP_REGULAR, vfilter = EIGHTTAP_REGULAR;
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int subx = 0, suby = 0;
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const int do_average = 0;
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ConvolveParams conv_params2 =
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get_conv_params_no_round(do_average, 0, NULL, 0, 0, 8);
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// Make sure that sizes 2xN and Nx2 are also tested for chroma.
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const int num_sizes =
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(block_size_wide[block_idx] == 4 || block_size_high[block_idx] == 4) ? 2
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: 1;
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for (int shift = 0; shift < num_sizes; ++shift) { // luma and chroma
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const int out_w = block_size_wide[block_idx] >> shift;
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const int out_h = block_size_high[block_idx] >> shift;
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const int num_loops = 1000000000 / (out_w + out_h);
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const InterpFilterParams *filter_params_x =
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av1_get_interp_filter_params_with_block_size((InterpFilter)hfilter,
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out_w);
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const InterpFilterParams *filter_params_y =
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av1_get_interp_filter_params_with_block_size((InterpFilter)vfilter,
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out_h);
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aom_usec_timer timer;
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aom_usec_timer_start(&timer);
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for (int i = 0; i < num_loops; ++i)
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test_impl(input, w, output, MAX_SB_SIZE, out_w, out_h, filter_params_x,
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filter_params_y, subx, suby, &conv_params2);
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aom_usec_timer_mark(&timer);
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const int elapsed_time = static_cast<int>(aom_usec_timer_elapsed(&timer));
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printf("%d,%d convolve %3dx%-3d: %7.2f us\n", has_subx, has_suby, out_w,
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out_h, 1000.0 * elapsed_time / num_loops);
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}
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}
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AV1JntConvolve2DTest::~AV1JntConvolve2DTest() {}
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void AV1JntConvolve2DTest::SetUp() {
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rnd_.Reset(ACMRandom::DeterministicSeed());
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}
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void AV1JntConvolve2DTest::TearDown() { libaom_test::ClearSystemState(); }
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void AV1JntConvolve2DTest::RunCheckOutput(convolve_2d_func test_impl) {
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const int w = kMaxSize, h = kMaxSize;
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const int has_subx = GET_PARAM(1);
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const int has_suby = GET_PARAM(2);
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const int block_idx = GET_PARAM(3);
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int hfilter, vfilter, subx, suby;
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uint8_t input[kMaxSize * kMaxSize];
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DECLARE_ALIGNED(32, CONV_BUF_TYPE, output1[MAX_SB_SQUARE]);
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DECLARE_ALIGNED(32, CONV_BUF_TYPE, output2[MAX_SB_SQUARE]);
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DECLARE_ALIGNED(16, uint8_t, output8_1[MAX_SB_SQUARE]);
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DECLARE_ALIGNED(16, uint8_t, output8_2[MAX_SB_SQUARE]);
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for (int i = 0; i < h; ++i)
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for (int j = 0; j < w; ++j) input[i * w + j] = rnd_.Rand8();
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for (int i = 0; i < MAX_SB_SQUARE; ++i) {
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output1[i] = output2[i] = rnd_.Rand16();
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output8_1[i] = output8_2[i] = rnd_.Rand8();
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}
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const int out_w = block_size_wide[block_idx];
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const int out_h = block_size_high[block_idx];
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for (hfilter = EIGHTTAP_REGULAR; hfilter < INTERP_FILTERS_ALL; ++hfilter) {
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for (vfilter = EIGHTTAP_REGULAR; vfilter < INTERP_FILTERS_ALL; ++vfilter) {
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const InterpFilterParams *filter_params_x =
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av1_get_interp_filter_params_with_block_size((InterpFilter)hfilter,
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out_w);
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const InterpFilterParams *filter_params_y =
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av1_get_interp_filter_params_with_block_size((InterpFilter)vfilter,
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out_h);
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for (int do_average = 0; do_average <= 1; ++do_average) {
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ConvolveParams conv_params1 =
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get_conv_params_no_round(do_average, 0, output1, MAX_SB_SIZE, 1, 8);
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ConvolveParams conv_params2 =
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get_conv_params_no_round(do_average, 0, output2, MAX_SB_SIZE, 1, 8);
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// Test special case where jnt_comp_avg is not used
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conv_params1.use_jnt_comp_avg = 0;
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conv_params2.use_jnt_comp_avg = 0;
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const int subx_range = has_subx ? 16 : 1;
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const int suby_range = has_suby ? 16 : 1;
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for (subx = 0; subx < subx_range; ++subx) {
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for (suby = 0; suby < suby_range; ++suby) {
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// Choose random locations within the source block
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const int offset_r = 3 + rnd_.PseudoUniform(h - out_h - 7);
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const int offset_c = 3 + rnd_.PseudoUniform(w - out_w - 7);
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av1_jnt_convolve_2d_c(input + offset_r * w + offset_c, w, output8_1,
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MAX_SB_SIZE, out_w, out_h, filter_params_x,
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filter_params_y, subx, suby, &conv_params1);
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test_impl(input + offset_r * w + offset_c, w, output8_2,
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MAX_SB_SIZE, out_w, out_h, filter_params_x,
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filter_params_y, subx, suby, &conv_params2);
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for (int i = 0; i < out_h; ++i) {
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for (int j = 0; j < out_w; ++j) {
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int idx = i * MAX_SB_SIZE + j;
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ASSERT_EQ(output1[idx], output2[idx])
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<< "Mismatch at unit tests for av1_jnt_convolve_2d\n"
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<< out_w << "x" << out_h << " Pixel mismatch at index "
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<< idx << " = (" << i << ", " << j
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<< "), sub pixel offset = (" << suby << ", " << subx << ")";
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}
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}
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if (memcmp(output8_1, output8_2, sizeof(output8_1))) {
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for (int i = 0; i < MAX_SB_SIZE; ++i) {
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for (int j = 0; j < MAX_SB_SIZE; ++j) {
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int idx = i * MAX_SB_SIZE + j;
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ASSERT_EQ(output8_1[idx], output8_2[idx])
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<< out_w << "x" << out_h << " Pixel mismatch at index "
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<< idx << " = (" << i << ", " << j
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<< "), sub pixel offset = (" << suby << ", " << subx
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<< ")";
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}
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}
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}
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}
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}
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// Test different combination of fwd and bck offset weights
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for (int k = 0; k < 2; ++k) {
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for (int l = 0; l < 4; ++l) {
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conv_params1.use_jnt_comp_avg = 1;
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conv_params2.use_jnt_comp_avg = 1;
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conv_params1.fwd_offset = quant_dist_lookup_table[k][l][0];
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conv_params1.bck_offset = quant_dist_lookup_table[k][l][1];
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conv_params2.fwd_offset = quant_dist_lookup_table[k][l][0];
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conv_params2.bck_offset = quant_dist_lookup_table[k][l][1];
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for (subx = 0; subx < subx_range; ++subx) {
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for (suby = 0; suby < suby_range; ++suby) {
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// Choose random locations within the source block
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const int offset_r = 3 + rnd_.PseudoUniform(h - out_h - 7);
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const int offset_c = 3 + rnd_.PseudoUniform(w - out_w - 7);
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av1_jnt_convolve_2d_c(input + offset_r * w + offset_c, w,
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output8_1, MAX_SB_SIZE, out_w, out_h,
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filter_params_x, filter_params_y, subx,
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suby, &conv_params1);
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test_impl(input + offset_r * w + offset_c, w, output8_2,
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MAX_SB_SIZE, out_w, out_h, filter_params_x,
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filter_params_y, subx, suby, &conv_params2);
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for (int i = 0; i < out_h; ++i) {
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for (int j = 0; j < out_w; ++j) {
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int idx = i * MAX_SB_SIZE + j;
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ASSERT_EQ(output1[idx], output2[idx])
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<< "Mismatch at unit tests for "
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"av1_jnt_convolve_2d\n"
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<< out_w << "x" << out_h << " Pixel mismatch at index "
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<< idx << " = (" << i << ", " << j
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<< "), sub pixel offset = (" << suby << ", " << subx
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<< ")";
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}
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}
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if (memcmp(output8_1, output8_2, sizeof(output8_1))) {
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for (int i = 0; i < MAX_SB_SIZE; ++i) {
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for (int j = 0; j < MAX_SB_SIZE; ++j) {
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int idx = i * MAX_SB_SIZE + j;
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ASSERT_EQ(output8_1[idx], output8_2[idx])
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<< out_w << "x" << out_h
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<< " Pixel mismatch at index " << idx << " = (" << i
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<< ", " << j << "), sub pixel offset = (" << suby
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<< ", " << subx << ")";
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}
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}
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}
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}
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}
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}
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}
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}
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}
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}
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}
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void AV1JntConvolve2DTest::RunSpeedTest(convolve_2d_func test_impl) {
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const int w = kMaxSize, h = kMaxSize;
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const int has_subx = GET_PARAM(1);
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const int has_suby = GET_PARAM(2);
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const int block_idx = GET_PARAM(3);
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int subx = 0, suby = 0;
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uint8_t input[kMaxSize * kMaxSize];
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DECLARE_ALIGNED(32, CONV_BUF_TYPE, output[MAX_SB_SQUARE]);
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DECLARE_ALIGNED(16, uint8_t, output8[MAX_SB_SQUARE]);
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int hfilter = EIGHTTAP_REGULAR, vfilter = EIGHTTAP_REGULAR;
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for (int i = 0; i < h; ++i)
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for (int j = 0; j < w; ++j) input[i * w + j] = rnd_.Rand8();
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for (int i = 0; i < MAX_SB_SQUARE; ++i) {
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output[i] = rnd_.Rand16();
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output8[i] = rnd_.Rand8();
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}
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const int out_w = block_size_wide[block_idx];
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const int out_h = block_size_high[block_idx];
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const int num_loops = 1000000000 / (out_w + out_h);
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const int do_average = 0;
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const InterpFilterParams *filter_params_x =
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av1_get_interp_filter_params_with_block_size((InterpFilter)hfilter,
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out_w);
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const InterpFilterParams *filter_params_y =
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av1_get_interp_filter_params_with_block_size((InterpFilter)vfilter,
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out_h);
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ConvolveParams conv_params =
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get_conv_params_no_round(do_average, 0, output, MAX_SB_SIZE, 1, 8);
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conv_params.use_jnt_comp_avg = 0;
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// Choose random locations within the source block
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const int offset_r = 3 + rnd_.PseudoUniform(h - out_h - 7);
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const int offset_c = 3 + rnd_.PseudoUniform(w - out_w - 7);
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aom_usec_timer timer;
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aom_usec_timer_start(&timer);
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for (int i = 0; i < num_loops; ++i)
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test_impl(input + offset_r * w + offset_c, w, output8, MAX_SB_SIZE, out_w,
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out_h, filter_params_x, filter_params_y, subx, suby,
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&conv_params);
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aom_usec_timer_mark(&timer);
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const int elapsed_time = static_cast<int>(aom_usec_timer_elapsed(&timer));
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printf("%d,%d convolve %3dx%-3d: %7.2f us\n", has_subx, has_suby, out_w,
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out_h, 1000.0 * elapsed_time / num_loops);
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}
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} // namespace AV1Convolve2D
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namespace AV1HighbdConvolve2D {
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::testing::internal::ParamGenerator<HighbdConvolve2DParam> BuildParams(
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highbd_convolve_2d_func filter, int has_subx, int has_suby) {
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return ::testing::Combine(
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::testing::Range(8, 13, 2), ::testing::Values(filter),
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::testing::Values(has_subx), ::testing::Values(has_suby),
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::testing::Range(BLOCK_4X4, BLOCK_SIZES_ALL));
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}
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AV1HighbdConvolve2DSrTest::~AV1HighbdConvolve2DSrTest() {}
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void AV1HighbdConvolve2DSrTest::SetUp() {
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rnd_.Reset(ACMRandom::DeterministicSeed());
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}
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void AV1HighbdConvolve2DSrTest::TearDown() { libaom_test::ClearSystemState(); }
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void AV1HighbdConvolve2DSrTest::RunSpeedTest(
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highbd_convolve_2d_func test_impl) {
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const int w = kMaxSize, h = kMaxSize;
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const int bd = GET_PARAM(0);
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const int has_subx = GET_PARAM(2);
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const int has_suby = GET_PARAM(3);
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const int block_idx = GET_PARAM(4);
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int hfilter, vfilter, subx, suby;
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uint16_t input[kMaxSize * kMaxSize];
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DECLARE_ALIGNED(32, uint16_t, output[MAX_SB_SQUARE]);
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for (int i = 0; i < h; ++i)
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for (int j = 0; j < w; ++j)
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input[i * w + j] = rnd_.Rand16() & ((1 << bd) - 1);
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hfilter = EIGHTTAP_REGULAR;
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vfilter = EIGHTTAP_REGULAR;
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int do_average = 0;
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const int offset_r = 3;
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const int offset_c = 3;
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subx = 0;
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|
suby = 0;
|
|
|
|
ConvolveParams conv_params =
|
|
get_conv_params_no_round(do_average, 0, NULL, 0, 0, bd);
|
|
|
|
// Make sure that sizes 2xN and Nx2 are also tested for chroma.
|
|
const int num_sizes =
|
|
(block_size_wide[block_idx] == 4 || block_size_high[block_idx] == 4) ? 2
|
|
: 1;
|
|
|
|
for (int shift = 0; shift < num_sizes; ++shift) { // luma and chroma
|
|
const int out_w = block_size_wide[block_idx] >> shift;
|
|
const int out_h = block_size_high[block_idx] >> shift;
|
|
const int num_loops = 1000000000 / (out_w + out_h);
|
|
|
|
const InterpFilterParams *filter_params_x =
|
|
av1_get_interp_filter_params_with_block_size((InterpFilter)hfilter,
|
|
out_w);
|
|
const InterpFilterParams *filter_params_y =
|
|
av1_get_interp_filter_params_with_block_size((InterpFilter)vfilter,
|
|
out_h);
|
|
|
|
aom_usec_timer timer;
|
|
aom_usec_timer_start(&timer);
|
|
for (int i = 0; i < num_loops; ++i)
|
|
test_impl(input + offset_r * w + offset_c, w, output, MAX_SB_SIZE, out_w,
|
|
out_h, filter_params_x, filter_params_y, subx, suby,
|
|
&conv_params, bd);
|
|
|
|
aom_usec_timer_mark(&timer);
|
|
const int elapsed_time = static_cast<int>(aom_usec_timer_elapsed(&timer));
|
|
printf("%d,%d convolve %3dx%-3d: %7.2f us\n", has_subx, has_suby, out_w,
|
|
out_h, 1000.0 * elapsed_time / num_loops);
|
|
}
|
|
}
|
|
|
|
void AV1HighbdConvolve2DSrTest::RunCheckOutput(
|
|
highbd_convolve_2d_func test_impl) {
|
|
const int w = kMaxSize, h = kMaxSize;
|
|
const int bd = GET_PARAM(0);
|
|
const int has_subx = GET_PARAM(2);
|
|
const int has_suby = GET_PARAM(3);
|
|
const int block_idx = GET_PARAM(4);
|
|
int hfilter, vfilter, subx, suby;
|
|
uint16_t input[kMaxSize * kMaxSize];
|
|
DECLARE_ALIGNED(32, uint16_t, output[MAX_SB_SQUARE]);
|
|
DECLARE_ALIGNED(32, uint16_t, output2[MAX_SB_SQUARE]);
|
|
|
|
for (int i = 0; i < h; ++i)
|
|
for (int j = 0; j < w; ++j)
|
|
input[i * w + j] = rnd_.Rand16() & ((1 << bd) - 1);
|
|
for (int i = 0; i < MAX_SB_SQUARE; ++i)
|
|
output[i] = output2[i] = rnd_.Rand31();
|
|
|
|
// Make sure that sizes 2xN and Nx2 are also tested for chroma.
|
|
const int num_sizes =
|
|
(block_size_wide[block_idx] == 4 || block_size_high[block_idx] == 4) ? 2
|
|
: 1;
|
|
for (int shift = 0; shift < num_sizes; ++shift) { // luma and chroma
|
|
const int out_w = block_size_wide[block_idx] >> shift;
|
|
const int out_h = block_size_high[block_idx] >> shift;
|
|
for (hfilter = EIGHTTAP_REGULAR; hfilter < INTERP_FILTERS_ALL; ++hfilter) {
|
|
for (vfilter = EIGHTTAP_REGULAR; vfilter < INTERP_FILTERS_ALL;
|
|
++vfilter) {
|
|
const InterpFilterParams *filter_params_x =
|
|
av1_get_interp_filter_params_with_block_size((InterpFilter)hfilter,
|
|
out_w);
|
|
const InterpFilterParams *filter_params_y =
|
|
av1_get_interp_filter_params_with_block_size((InterpFilter)vfilter,
|
|
out_h);
|
|
for (int do_average = 0; do_average < 1; ++do_average) {
|
|
ConvolveParams conv_params1 =
|
|
get_conv_params_no_round(do_average, 0, NULL, 0, 0, bd);
|
|
ConvolveParams conv_params2 =
|
|
get_conv_params_no_round(do_average, 0, NULL, 0, 0, bd);
|
|
|
|
const int subx_range = has_subx ? 16 : 1;
|
|
const int suby_range = has_suby ? 16 : 1;
|
|
for (subx = 0; subx < subx_range; ++subx) {
|
|
for (suby = 0; suby < suby_range; ++suby) {
|
|
// Choose random locations within the source block
|
|
const int offset_r = 3 + rnd_.PseudoUniform(h - out_h - 7);
|
|
const int offset_c = 3 + rnd_.PseudoUniform(w - out_w - 7);
|
|
av1_highbd_convolve_2d_sr_c(input + offset_r * w + offset_c, w,
|
|
output, MAX_SB_SIZE, out_w, out_h,
|
|
filter_params_x, filter_params_y,
|
|
subx, suby, &conv_params1, bd);
|
|
test_impl(input + offset_r * w + offset_c, w, output2,
|
|
MAX_SB_SIZE, out_w, out_h, filter_params_x,
|
|
filter_params_y, subx, suby, &conv_params2, bd);
|
|
|
|
if (memcmp(output, output2, sizeof(output))) {
|
|
for (int i = 0; i < MAX_SB_SIZE; ++i) {
|
|
for (int j = 0; j < MAX_SB_SIZE; ++j) {
|
|
int idx = i * MAX_SB_SIZE + j;
|
|
ASSERT_EQ(output[idx], output2[idx])
|
|
<< out_w << "x" << out_h << " Pixel mismatch at index "
|
|
<< idx << " = (" << i << ", " << j
|
|
<< "), sub pixel offset = (" << suby << ", " << subx
|
|
<< ")";
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
AV1HighbdJntConvolve2DTest::~AV1HighbdJntConvolve2DTest() {}
|
|
void AV1HighbdJntConvolve2DTest::SetUp() {
|
|
rnd_.Reset(ACMRandom::DeterministicSeed());
|
|
}
|
|
|
|
void AV1HighbdJntConvolve2DTest::TearDown() { libaom_test::ClearSystemState(); }
|
|
|
|
void AV1HighbdJntConvolve2DTest::RunSpeedTest(
|
|
highbd_convolve_2d_func test_impl) {
|
|
const int w = kMaxSize, h = kMaxSize;
|
|
const int bd = GET_PARAM(0);
|
|
const int block_idx = GET_PARAM(4);
|
|
int hfilter, vfilter, subx, suby;
|
|
uint16_t input[kMaxSize * kMaxSize];
|
|
DECLARE_ALIGNED(32, CONV_BUF_TYPE, output[MAX_SB_SQUARE]);
|
|
DECLARE_ALIGNED(32, uint16_t, output16[MAX_SB_SQUARE]);
|
|
|
|
for (int i = 0; i < h; ++i)
|
|
for (int j = 0; j < w; ++j)
|
|
input[i * w + j] = rnd_.Rand16() & ((1 << bd) - 1);
|
|
for (int i = 0; i < MAX_SB_SQUARE; ++i) output[i] = rnd_.Rand16();
|
|
hfilter = EIGHTTAP_REGULAR;
|
|
vfilter = EIGHTTAP_REGULAR;
|
|
int do_average = 0;
|
|
const int out_w = block_size_wide[block_idx];
|
|
const int out_h = block_size_high[block_idx];
|
|
|
|
const InterpFilterParams *filter_params_x =
|
|
av1_get_interp_filter_params_with_block_size((InterpFilter)hfilter,
|
|
out_w);
|
|
const InterpFilterParams *filter_params_y =
|
|
av1_get_interp_filter_params_with_block_size((InterpFilter)vfilter,
|
|
out_h);
|
|
|
|
ConvolveParams conv_params =
|
|
get_conv_params_no_round(do_average, 0, output, MAX_SB_SIZE, 1, bd);
|
|
|
|
// Test special case where jnt_comp_avg is not used
|
|
conv_params.use_jnt_comp_avg = 0;
|
|
|
|
subx = 0;
|
|
suby = 0;
|
|
// Choose random locations within the source block
|
|
const int offset_r = 3;
|
|
const int offset_c = 3;
|
|
|
|
const int num_loops = 1000000000 / (out_w + out_h);
|
|
aom_usec_timer timer;
|
|
aom_usec_timer_start(&timer);
|
|
for (int i = 0; i < num_loops; ++i)
|
|
test_impl(input + offset_r * w + offset_c, w, output16, MAX_SB_SIZE, out_w,
|
|
out_h, filter_params_x, filter_params_y, subx, suby, &conv_params,
|
|
bd);
|
|
|
|
aom_usec_timer_mark(&timer);
|
|
const int elapsed_time = static_cast<int>(aom_usec_timer_elapsed(&timer));
|
|
printf("convolve %3dx%-3d: %7.2f us\n", out_w, out_h,
|
|
1000.0 * elapsed_time / num_loops);
|
|
}
|
|
|
|
void AV1HighbdJntConvolve2DTest::RunCheckOutput(
|
|
highbd_convolve_2d_func test_impl) {
|
|
const int w = kMaxSize, h = kMaxSize;
|
|
const int bd = GET_PARAM(0);
|
|
const int has_subx = GET_PARAM(2);
|
|
const int has_suby = GET_PARAM(3);
|
|
const int block_idx = GET_PARAM(4);
|
|
int hfilter, vfilter, subx, suby;
|
|
uint16_t input[kMaxSize * kMaxSize];
|
|
DECLARE_ALIGNED(32, CONV_BUF_TYPE, output1[MAX_SB_SQUARE]);
|
|
DECLARE_ALIGNED(32, CONV_BUF_TYPE, output2[MAX_SB_SQUARE]);
|
|
DECLARE_ALIGNED(32, uint16_t, output16_1[MAX_SB_SQUARE]);
|
|
DECLARE_ALIGNED(32, uint16_t, output16_2[MAX_SB_SQUARE]);
|
|
|
|
for (int i = 0; i < h; ++i)
|
|
for (int j = 0; j < w; ++j)
|
|
input[i * w + j] = rnd_.Rand16() & ((1 << bd) - 1);
|
|
for (int i = 0; i < MAX_SB_SQUARE; ++i) {
|
|
output1[i] = output2[i] = rnd_.Rand16();
|
|
output16_1[i] = output16_2[i] = rnd_.Rand16();
|
|
}
|
|
|
|
const int out_w = block_size_wide[block_idx];
|
|
const int out_h = block_size_high[block_idx];
|
|
for (hfilter = EIGHTTAP_REGULAR; hfilter < INTERP_FILTERS_ALL; ++hfilter) {
|
|
for (vfilter = EIGHTTAP_REGULAR; vfilter < INTERP_FILTERS_ALL; ++vfilter) {
|
|
const InterpFilterParams *filter_params_x =
|
|
av1_get_interp_filter_params_with_block_size((InterpFilter)hfilter,
|
|
out_w);
|
|
const InterpFilterParams *filter_params_y =
|
|
av1_get_interp_filter_params_with_block_size((InterpFilter)vfilter,
|
|
out_h);
|
|
for (int do_average = 0; do_average <= 1; ++do_average) {
|
|
ConvolveParams conv_params1 = get_conv_params_no_round(
|
|
do_average, 0, output1, MAX_SB_SIZE, 1, bd);
|
|
ConvolveParams conv_params2 = get_conv_params_no_round(
|
|
do_average, 0, output2, MAX_SB_SIZE, 1, bd);
|
|
|
|
// Test special case where jnt_comp_avg is not used
|
|
conv_params1.use_jnt_comp_avg = 0;
|
|
conv_params2.use_jnt_comp_avg = 0;
|
|
|
|
const int subx_range = has_subx ? 16 : 1;
|
|
const int suby_range = has_suby ? 16 : 1;
|
|
for (subx = 0; subx < subx_range; ++subx) {
|
|
for (suby = 0; suby < suby_range; ++suby) {
|
|
// Choose random locations within the source block
|
|
const int offset_r = 3 + rnd_.PseudoUniform(h - out_h - 7);
|
|
const int offset_c = 3 + rnd_.PseudoUniform(w - out_w - 7);
|
|
av1_highbd_jnt_convolve_2d_c(input + offset_r * w + offset_c, w,
|
|
output16_1, MAX_SB_SIZE, out_w, out_h,
|
|
filter_params_x, filter_params_y, subx,
|
|
suby, &conv_params1, bd);
|
|
test_impl(input + offset_r * w + offset_c, w, output16_2,
|
|
MAX_SB_SIZE, out_w, out_h, filter_params_x,
|
|
filter_params_y, subx, suby, &conv_params2, bd);
|
|
|
|
for (int i = 0; i < out_h; ++i) {
|
|
for (int j = 0; j < out_w; ++j) {
|
|
int idx = i * MAX_SB_SIZE + j;
|
|
ASSERT_EQ(output1[idx], output2[idx])
|
|
<< out_w << "x" << out_h << " Pixel mismatch at index "
|
|
<< idx << " = (" << i << ", " << j
|
|
<< "), sub pixel offset = (" << suby << ", " << subx << ")";
|
|
}
|
|
}
|
|
|
|
if (memcmp(output16_1, output16_2, sizeof(output16_1))) {
|
|
for (int i = 0; i < MAX_SB_SIZE; ++i) {
|
|
for (int j = 0; j < MAX_SB_SIZE; ++j) {
|
|
int idx = i * MAX_SB_SIZE + j;
|
|
ASSERT_EQ(output16_1[idx], output16_2[idx])
|
|
<< out_w << "x" << out_h << " Pixel mismatch at index "
|
|
<< idx << " = (" << i << ", " << j
|
|
<< "), sub pixel offset = (" << suby << ", " << subx
|
|
<< ")";
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
// Test different combination of fwd and bck offset weights
|
|
for (int k = 0; k < 2; ++k) {
|
|
for (int l = 0; l < 4; ++l) {
|
|
conv_params1.use_jnt_comp_avg = 1;
|
|
conv_params2.use_jnt_comp_avg = 1;
|
|
conv_params1.fwd_offset = quant_dist_lookup_table[k][l][0];
|
|
conv_params1.bck_offset = quant_dist_lookup_table[k][l][1];
|
|
conv_params2.fwd_offset = quant_dist_lookup_table[k][l][0];
|
|
conv_params2.bck_offset = quant_dist_lookup_table[k][l][1];
|
|
|
|
const int subx_range = has_subx ? 16 : 1;
|
|
const int suby_range = has_suby ? 16 : 1;
|
|
for (subx = 0; subx < subx_range; ++subx) {
|
|
for (suby = 0; suby < suby_range; ++suby) {
|
|
// Choose random locations within the source block
|
|
const int offset_r = 3 + rnd_.PseudoUniform(h - out_h - 7);
|
|
const int offset_c = 3 + rnd_.PseudoUniform(w - out_w - 7);
|
|
av1_highbd_jnt_convolve_2d_c(
|
|
input + offset_r * w + offset_c, w, output16_1, MAX_SB_SIZE,
|
|
out_w, out_h, filter_params_x, filter_params_y, subx, suby,
|
|
&conv_params1, bd);
|
|
test_impl(input + offset_r * w + offset_c, w, output16_2,
|
|
MAX_SB_SIZE, out_w, out_h, filter_params_x,
|
|
filter_params_y, subx, suby, &conv_params2, bd);
|
|
|
|
for (int i = 0; i < out_h; ++i) {
|
|
for (int j = 0; j < out_w; ++j) {
|
|
int idx = i * MAX_SB_SIZE + j;
|
|
ASSERT_EQ(output1[idx], output2[idx])
|
|
<< out_w << "x" << out_h << " Pixel mismatch at index "
|
|
<< idx << " = (" << i << ", " << j
|
|
<< "), sub pixel offset = (" << suby << ", " << subx
|
|
<< ")";
|
|
}
|
|
}
|
|
|
|
if (memcmp(output16_1, output16_2, sizeof(output16_1))) {
|
|
for (int i = 0; i < MAX_SB_SIZE; ++i) {
|
|
for (int j = 0; j < MAX_SB_SIZE; ++j) {
|
|
int idx = i * MAX_SB_SIZE + j;
|
|
ASSERT_EQ(output16_1[idx], output16_2[idx])
|
|
<< out_w << "x" << out_h
|
|
<< " Pixel mismatch at index " << idx << " = (" << i
|
|
<< ", " << j << "), sub pixel offset = (" << suby
|
|
<< ", " << subx << ")";
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
} // namespace AV1HighbdConvolve2D
|
|
} // namespace libaom_test
|