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/*
* 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/hiprec_convolve_test_util.h"
#include "av1/common/restoration.h"
using std::tr1::tuple;
using std::tr1::make_tuple;
namespace libaom_test {
// Generate a random pair of filter kernels, using the ranges
// of possible values from the loop-restoration experiment
static void generate_kernels(ACMRandom *rnd, InterpKernel hkernel,
InterpKernel vkernel) {
hkernel[0] = hkernel[6] =
WIENER_FILT_TAP0_MINV +
rnd->PseudoUniform(WIENER_FILT_TAP0_MAXV + 1 - WIENER_FILT_TAP0_MINV);
hkernel[1] = hkernel[5] =
WIENER_FILT_TAP1_MINV +
rnd->PseudoUniform(WIENER_FILT_TAP1_MAXV + 1 - WIENER_FILT_TAP1_MINV);
hkernel[2] = hkernel[4] =
WIENER_FILT_TAP2_MINV +
rnd->PseudoUniform(WIENER_FILT_TAP2_MAXV + 1 - WIENER_FILT_TAP2_MINV);
hkernel[3] = -(hkernel[0] + hkernel[1] + hkernel[2]);
hkernel[7] = 0;
vkernel[0] = vkernel[6] =
WIENER_FILT_TAP0_MINV +
rnd->PseudoUniform(WIENER_FILT_TAP0_MAXV + 1 - WIENER_FILT_TAP0_MINV);
vkernel[1] = vkernel[5] =
WIENER_FILT_TAP1_MINV +
rnd->PseudoUniform(WIENER_FILT_TAP1_MAXV + 1 - WIENER_FILT_TAP1_MINV);
vkernel[2] = vkernel[4] =
WIENER_FILT_TAP2_MINV +
rnd->PseudoUniform(WIENER_FILT_TAP2_MAXV + 1 - WIENER_FILT_TAP2_MINV);
vkernel[3] = -(vkernel[0] + vkernel[1] + vkernel[2]);
vkernel[7] = 0;
}
namespace AV1HiprecConvolve {
::testing::internal::ParamGenerator<HiprecConvolveParam> BuildParams(
hiprec_convolve_func filter) {
const HiprecConvolveParam params[] = {
make_tuple(8, 8, 50000, filter), make_tuple(64, 64, 1000, filter),
make_tuple(32, 8, 10000, filter),
};
return ::testing::ValuesIn(params);
}
AV1HiprecConvolveTest::~AV1HiprecConvolveTest() {}
void AV1HiprecConvolveTest::SetUp() {
rnd_.Reset(ACMRandom::DeterministicSeed());
}
void AV1HiprecConvolveTest::TearDown() { libaom_test::ClearSystemState(); }
void AV1HiprecConvolveTest::RunCheckOutput(hiprec_convolve_func test_impl) {
const int w = 128, h = 128;
const int out_w = GET_PARAM(0), out_h = GET_PARAM(1);
const int num_iters = GET_PARAM(2);
int i, j;
uint8_t *input_ = new uint8_t[h * w];
uint8_t *input = input_;
// The convolve functions always write rows with widths that are multiples of
// 8.
// So to avoid a buffer overflow, we may need to pad rows to a multiple of 8.
int output_n = ((out_w + 7) & ~7) * out_h;
uint8_t *output = new uint8_t[output_n];
uint8_t *output2 = new uint8_t[output_n];
// Generate random filter kernels
DECLARE_ALIGNED(16, InterpKernel, hkernel);
DECLARE_ALIGNED(16, InterpKernel, vkernel);
generate_kernels(&rnd_, hkernel, vkernel);
for (i = 0; i < h; ++i)
for (j = 0; j < w; ++j) input[i * w + j] = rnd_.Rand8();
for (i = 0; i < num_iters; ++i) {
// Choose random locations within the source block
int offset_r = 3 + rnd_.PseudoUniform(h - out_h - 7);
int offset_c = 3 + rnd_.PseudoUniform(w - out_w - 7);
aom_convolve8_add_src_hip_c(input + offset_r * w + offset_c, w, output,
out_w, hkernel, 16, vkernel, 16, out_w, out_h);
test_impl(input + offset_r * w + offset_c, w, output2, out_w, hkernel, 16,
vkernel, 16, out_w, out_h);
for (j = 0; j < out_w * out_h; ++j)
ASSERT_EQ(output[j], output2[j])
<< "Pixel mismatch at index " << j << " = (" << (j % out_w) << ", "
<< (j / out_w) << ") on iteration " << i;
}
delete[] input_;
delete[] output;
delete[] output2;
}
} // namespace AV1HiprecConvolve
#if CONFIG_HIGHBITDEPTH
namespace AV1HighbdHiprecConvolve {
::testing::internal::ParamGenerator<HighbdHiprecConvolveParam> BuildParams(
highbd_hiprec_convolve_func filter) {
const HighbdHiprecConvolveParam params[] = {
make_tuple(8, 8, 50000, 8, filter), make_tuple(64, 64, 1000, 8, filter),
make_tuple(32, 8, 10000, 8, filter), make_tuple(8, 8, 50000, 10, filter),
make_tuple(64, 64, 1000, 10, filter), make_tuple(32, 8, 10000, 10, filter),
make_tuple(8, 8, 50000, 12, filter), make_tuple(64, 64, 1000, 12, filter),
make_tuple(32, 8, 10000, 12, filter),
};
return ::testing::ValuesIn(params);
}
AV1HighbdHiprecConvolveTest::~AV1HighbdHiprecConvolveTest() {}
void AV1HighbdHiprecConvolveTest::SetUp() {
rnd_.Reset(ACMRandom::DeterministicSeed());
}
void AV1HighbdHiprecConvolveTest::TearDown() {
libaom_test::ClearSystemState();
}
void AV1HighbdHiprecConvolveTest::RunCheckOutput(
highbd_hiprec_convolve_func test_impl) {
const int w = 128, h = 128;
const int out_w = GET_PARAM(0), out_h = GET_PARAM(1);
const int num_iters = GET_PARAM(2);
const int bd = GET_PARAM(3);
int i, j;
uint16_t *input = new uint16_t[h * w];
// The convolve functions always write rows with widths that are multiples of
// 8.
// So to avoid a buffer overflow, we may need to pad rows to a multiple of 8.
int output_n = ((out_w + 7) & ~7) * out_h;
uint16_t *output = new uint16_t[output_n];
uint16_t *output2 = new uint16_t[output_n];
// Generate random filter kernels
DECLARE_ALIGNED(16, InterpKernel, hkernel);
DECLARE_ALIGNED(16, InterpKernel, vkernel);
generate_kernels(&rnd_, hkernel, vkernel);
for (i = 0; i < h; ++i)
for (j = 0; j < w; ++j) input[i * w + j] = rnd_.Rand16() & ((1 << bd) - 1);
uint8_t *input_ptr = CONVERT_TO_BYTEPTR(input);
uint8_t *output_ptr = CONVERT_TO_BYTEPTR(output);
uint8_t *output2_ptr = CONVERT_TO_BYTEPTR(output2);
for (i = 0; i < num_iters; ++i) {
// Choose random locations within the source block
int offset_r = 3 + rnd_.PseudoUniform(h - out_h - 7);
int offset_c = 3 + rnd_.PseudoUniform(w - out_w - 7);
aom_highbd_convolve8_add_src_hip_c(input_ptr + offset_r * w + offset_c, w,
output_ptr, out_w, hkernel, 16, vkernel,
16, out_w, out_h, bd);
test_impl(input_ptr + offset_r * w + offset_c, w, output2_ptr, out_w,
hkernel, 16, vkernel, 16, out_w, out_h, bd);
for (j = 0; j < out_w * out_h; ++j)
ASSERT_EQ(output[j], output2[j])
<< "Pixel mismatch at index " << j << " = (" << (j % out_w) << ", "
<< (j / out_w) << ") on iteration " << i;
}
delete[] input;
delete[] output;
delete[] output2;
}
} // namespace AV1HighbdHiprecConvolve
#endif // CONFIG_HIGHBITDEPTH
} // namespace libaom_test
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