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| -rw-r--r-- | third_party/aom/test/av1_convolve_2d_test_util.cc | 705 |
1 files changed, 705 insertions, 0 deletions
diff --git a/third_party/aom/test/av1_convolve_2d_test_util.cc b/third_party/aom/test/av1_convolve_2d_test_util.cc new file mode 100644 index 0000000000..409fd23e10 --- /dev/null +++ b/third_party/aom/test/av1_convolve_2d_test_util.cc @@ -0,0 +1,705 @@ +/* + * Copyright (c) 2016, Alliance for Open Media. All rights reserved + * + * This source code is subject to the terms of the BSD 2 Clause License and + * the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License + * was not distributed with this source code in the LICENSE file, you can + * obtain it at www.aomedia.org/license/software. If the Alliance for Open + * Media Patent License 1.0 was not distributed with this source code in the + * PATENTS file, you can obtain it at www.aomedia.org/license/patent. + */ + +#include "test/av1_convolve_2d_test_util.h" + +#include "aom_ports/aom_timer.h" +#include "av1/common/common_data.h" +#include "av1/common/convolve.h" + +using ::testing::make_tuple; +using ::testing::tuple; + +namespace libaom_test { + +const int kMaxSize = 128 + 32; // padding +namespace AV1Convolve2D { + +::testing::internal::ParamGenerator<Convolve2DParam> BuildParams( + convolve_2d_func filter, int has_subx, int has_suby) { + return ::testing::Combine(::testing::Values(filter), + ::testing::Values(has_subx), + ::testing::Values(has_suby), + ::testing::Range(BLOCK_4X4, BLOCK_SIZES_ALL)); +} + +AV1Convolve2DSrTest::~AV1Convolve2DSrTest() {} +void AV1Convolve2DSrTest::SetUp() { + rnd_.Reset(ACMRandom::DeterministicSeed()); +} + +void AV1Convolve2DSrTest::TearDown() { libaom_test::ClearSystemState(); } + +void AV1Convolve2DSrTest::RunCheckOutput(convolve_2d_func test_impl) { + const int w = kMaxSize, h = kMaxSize; + const int has_subx = GET_PARAM(1); + const int has_suby = GET_PARAM(2); + const int block_idx = GET_PARAM(3); + int hfilter, vfilter, subx, suby; + uint8_t input[kMaxSize * kMaxSize]; + DECLARE_ALIGNED(32, uint8_t, output[MAX_SB_SQUARE]); + DECLARE_ALIGNED(32, uint8_t, output2[MAX_SB_SQUARE]); + + for (int i = 0; i < h; ++i) + for (int j = 0; j < w; ++j) input[i * w + j] = rnd_.Rand8(); + 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, 8); + ConvolveParams conv_params2 = + get_conv_params_no_round(do_average, 0, NULL, 0, 0, 8); + + 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_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); + 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); + + 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 + << ")"; + } + } + } + } + } + } + } + } + } +} + +void AV1Convolve2DSrTest::RunSpeedTest(convolve_2d_func test_impl) { + const int w = kMaxSize, h = kMaxSize; + const int has_subx = GET_PARAM(1); + const int has_suby = GET_PARAM(2); + const int block_idx = GET_PARAM(3); + + uint8_t input[kMaxSize * kMaxSize]; + DECLARE_ALIGNED(32, uint8_t, output[MAX_SB_SQUARE]); + + for (int i = 0; i < h; ++i) + for (int j = 0; j < w; ++j) input[i * w + j] = rnd_.Rand8(); + + int hfilter = EIGHTTAP_REGULAR, vfilter = EIGHTTAP_REGULAR; + int subx = 0, suby = 0; + + const int do_average = 0; + ConvolveParams conv_params2 = + get_conv_params_no_round(do_average, 0, NULL, 0, 0, 8); + + // 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, w, output, MAX_SB_SIZE, out_w, out_h, filter_params_x, + filter_params_y, subx, suby, &conv_params2); + + 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); + } +} + +AV1JntConvolve2DTest::~AV1JntConvolve2DTest() {} +void AV1JntConvolve2DTest::SetUp() { + rnd_.Reset(ACMRandom::DeterministicSeed()); +} + +void AV1JntConvolve2DTest::TearDown() { libaom_test::ClearSystemState(); } + +void AV1JntConvolve2DTest::RunCheckOutput(convolve_2d_func test_impl) { + const int w = kMaxSize, h = kMaxSize; + const int has_subx = GET_PARAM(1); + const int has_suby = GET_PARAM(2); + const int block_idx = GET_PARAM(3); + int hfilter, vfilter, subx, suby; + uint8_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(16, uint8_t, output8_1[MAX_SB_SQUARE]); + DECLARE_ALIGNED(16, uint8_t, output8_2[MAX_SB_SQUARE]); + + for (int i = 0; i < h; ++i) + for (int j = 0; j < w; ++j) input[i * w + j] = rnd_.Rand8(); + for (int i = 0; i < MAX_SB_SQUARE; ++i) { + output1[i] = output2[i] = rnd_.Rand16(); + output8_1[i] = output8_2[i] = rnd_.Rand8(); + } + + 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, 8); + ConvolveParams conv_params2 = + get_conv_params_no_round(do_average, 0, output2, MAX_SB_SIZE, 1, 8); + + // 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_jnt_convolve_2d_c(input + offset_r * w + offset_c, w, output8_1, + MAX_SB_SIZE, out_w, out_h, filter_params_x, + filter_params_y, subx, suby, &conv_params1); + test_impl(input + offset_r * w + offset_c, w, output8_2, + MAX_SB_SIZE, out_w, out_h, filter_params_x, + filter_params_y, subx, suby, &conv_params2); + + 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]) + << "Mismatch at unit tests for av1_jnt_convolve_2d\n" + << out_w << "x" << out_h << " Pixel mismatch at index " + << idx << " = (" << i << ", " << j + << "), sub pixel offset = (" << suby << ", " << subx << ")"; + } + } + + if (memcmp(output8_1, output8_2, sizeof(output8_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(output8_1[idx], output8_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]; + + 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_jnt_convolve_2d_c(input + offset_r * w + offset_c, w, + output8_1, MAX_SB_SIZE, out_w, out_h, + filter_params_x, filter_params_y, subx, + suby, &conv_params1); + test_impl(input + offset_r * w + offset_c, w, output8_2, + MAX_SB_SIZE, out_w, out_h, filter_params_x, + filter_params_y, subx, suby, &conv_params2); + + 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]) + << "Mismatch at unit tests for " + "av1_jnt_convolve_2d\n" + << out_w << "x" << out_h << " Pixel mismatch at index " + << idx << " = (" << i << ", " << j + << "), sub pixel offset = (" << suby << ", " << subx + << ")"; + } + } + if (memcmp(output8_1, output8_2, sizeof(output8_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(output8_1[idx], output8_2[idx]) + << out_w << "x" << out_h + << " Pixel mismatch at index " << idx << " = (" << i + << ", " << j << "), sub pixel offset = (" << suby + << ", " << subx << ")"; + } + } + } + } + } + } + } + } + } + } +} + +void AV1JntConvolve2DTest::RunSpeedTest(convolve_2d_func test_impl) { + const int w = kMaxSize, h = kMaxSize; + const int has_subx = GET_PARAM(1); + const int has_suby = GET_PARAM(2); + const int block_idx = GET_PARAM(3); + + int subx = 0, suby = 0; + uint8_t input[kMaxSize * kMaxSize]; + DECLARE_ALIGNED(32, CONV_BUF_TYPE, output[MAX_SB_SQUARE]); + DECLARE_ALIGNED(16, uint8_t, output8[MAX_SB_SQUARE]); + int hfilter = EIGHTTAP_REGULAR, vfilter = EIGHTTAP_REGULAR; + for (int i = 0; i < h; ++i) + for (int j = 0; j < w; ++j) input[i * w + j] = rnd_.Rand8(); + for (int i = 0; i < MAX_SB_SQUARE; ++i) { + output[i] = rnd_.Rand16(); + output8[i] = rnd_.Rand8(); + } + + const int out_w = block_size_wide[block_idx]; + const int out_h = block_size_high[block_idx]; + const int num_loops = 1000000000 / (out_w + out_h); + const int do_average = 0; + + 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, 8); + + conv_params.use_jnt_comp_avg = 0; + + // 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); + + 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, output8, MAX_SB_SIZE, out_w, + out_h, filter_params_x, filter_params_y, subx, suby, + &conv_params); + + 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); +} +} // namespace AV1Convolve2D + +namespace AV1HighbdConvolve2D { +::testing::internal::ParamGenerator<HighbdConvolve2DParam> BuildParams( + highbd_convolve_2d_func filter, int has_subx, int has_suby) { + return ::testing::Combine( + ::testing::Range(8, 13, 2), ::testing::Values(filter), + ::testing::Values(has_subx), ::testing::Values(has_suby), + ::testing::Range(BLOCK_4X4, BLOCK_SIZES_ALL)); +} + +AV1HighbdConvolve2DSrTest::~AV1HighbdConvolve2DSrTest() {} +void AV1HighbdConvolve2DSrTest::SetUp() { + rnd_.Reset(ACMRandom::DeterministicSeed()); +} + +void AV1HighbdConvolve2DSrTest::TearDown() { libaom_test::ClearSystemState(); } + +void AV1HighbdConvolve2DSrTest::RunSpeedTest( + 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]); + + for (int i = 0; i < h; ++i) + for (int j = 0; j < w; ++j) + input[i * w + j] = rnd_.Rand16() & ((1 << bd) - 1); + + hfilter = EIGHTTAP_REGULAR; + vfilter = EIGHTTAP_REGULAR; + int do_average = 0; + + const int offset_r = 3; + const int offset_c = 3; + subx = 0; + 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 |