blob: e310b3e0c615ba8a311ea75a06f89c4a673fcced [file] [log] [blame]
// Copyright 2023 Google LLC
// Licensed under the Apache License, Version 2.0, see LICENSE for details.
// SPDX-License-Identifier: Apache-2.0
#include "tests/cv/gaussian.h"
#include <algorithm>
#include <cstdint>
#include "crt/kelvin.h"
#include "tests/cv/test_helper.h"
void gaussian_test() {
constexpr int num_cols = 640;
uint16_t input0_row[num_cols] __attribute__((aligned(64)));
uint16_t input1_row[num_cols] __attribute__((aligned(64)));
uint16_t input2_row[num_cols] __attribute__((aligned(64)));
uint16_t input3_row[num_cols] __attribute__((aligned(64)));
uint16_t input4_row[num_cols] __attribute__((aligned(64)));
uint16_t output_stripmined_row[num_cols] __attribute__((aligned(64))) = {0};
uint16_t output_row[num_cols] __attribute__((aligned(64))) = {0};
krand(num_cols, input0_row);
krand(num_cols, input1_row);
krand(num_cols, input2_row);
krand(num_cols, input3_row);
krand(num_cols, input4_row);
kelvin::cv::gaussian(num_cols, input0_row, input1_row, input2_row, input3_row,
input4_row, true /*is_stripmine*/,
output_stripmined_row);
kelvin::cv::gaussian(num_cols, input0_row, input1_row, input2_row, input3_row,
input4_row, false /*is_stripmine*/, output_row);
for (int i = 0; i < num_cols; ++i) {
uint32_t h[5];
for (int j = 0; j < 5; j++) {
int idx = std::min(num_cols - 1, std::max(0, i + j - 2));
uint32_t v = 0;
v += input0_row[idx];
v += input1_row[idx] * 4;
v += input2_row[idx] * 6;
v += input3_row[idx] * 4;
v += input4_row[idx];
h[j] = v;
}
const uint32_t k = h[0] + h[1] * 4 + h[2] * 6 + h[3] * 4 + h[4] + 128;
const uint16_t ref_value = k >> 8;
if (ref_value != output_stripmined_row[i]) {
printf("**error::stripmined gaussian[%d] %x %x\n", i, ref_value,
output_stripmined_row[i]);
exit(1);
}
if (ref_value != output_row[i]) {
printf("**error::gaussian[%d] %x %x\n", i, ref_value, output_row[i]);
exit(1);
}
}
}
int main() {
gaussian_test();
return 0;
}