mirror of
https://github.com/FFmpeg/FFmpeg.git
synced 2024-12-23 12:43:46 +02:00
174 lines
4.5 KiB
C
174 lines
4.5 KiB
C
|
/*
|
||
|
* Copyright (c) 2020
|
||
|
*
|
||
|
* This file is part of FFmpeg.
|
||
|
*
|
||
|
* FFmpeg is free software; you can redistribute it and/or
|
||
|
* modify it under the terms of the GNU Lesser General Public
|
||
|
* License as published by the Free Software Foundation; either
|
||
|
* version 2.1 of the License, or (at your option) any later version.
|
||
|
*
|
||
|
* FFmpeg is distributed in the hope that it will be useful,
|
||
|
* but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||
|
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
|
||
|
* Lesser General Public License for more details.
|
||
|
*
|
||
|
* You should have received a copy of the GNU Lesser General Public
|
||
|
* License along with FFmpeg; if not, write to the Free Software
|
||
|
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
|
||
|
*/
|
||
|
|
||
|
#include <stdio.h>
|
||
|
#include <string.h>
|
||
|
#include <math.h>
|
||
|
#include "libavfilter/dnn/dnn_backend_native_layer_mathbinary.h"
|
||
|
|
||
|
#define EPSON 0.00001
|
||
|
|
||
|
static int test_sub_broadcast_input0(void)
|
||
|
{
|
||
|
DnnLayerMathBinaryParams params;
|
||
|
DnnOperand operands[2];
|
||
|
int32_t input_indexes[1];
|
||
|
float input[1*1*2*3] = {
|
||
|
-3, 2.5, 2, -2.1, 7.8, 100
|
||
|
};
|
||
|
float *output;
|
||
|
|
||
|
params.bin_op = DMBO_SUB;
|
||
|
params.input0_broadcast = 1;
|
||
|
params.input1_broadcast = 0;
|
||
|
params.v = 7.28;
|
||
|
|
||
|
operands[0].data = input;
|
||
|
operands[0].dims[0] = 1;
|
||
|
operands[0].dims[1] = 1;
|
||
|
operands[0].dims[2] = 2;
|
||
|
operands[0].dims[3] = 3;
|
||
|
operands[1].data = NULL;
|
||
|
|
||
|
input_indexes[0] = 0;
|
||
|
dnn_execute_layer_math_binary(operands, input_indexes, 1, ¶ms);
|
||
|
|
||
|
output = operands[1].data;
|
||
|
for (int i = 0; i < sizeof(input) / sizeof(float); i++) {
|
||
|
float expected_output = params.v - input[i];
|
||
|
if (fabs(output[i] - expected_output) > EPSON) {
|
||
|
printf("at index %d, output: %f, expected_output: %f\n", i, output[i], expected_output);
|
||
|
av_freep(&output);
|
||
|
return 1;
|
||
|
}
|
||
|
}
|
||
|
|
||
|
av_freep(&output);
|
||
|
return 0;
|
||
|
}
|
||
|
|
||
|
static int test_sub_broadcast_input1(void)
|
||
|
{
|
||
|
DnnLayerMathBinaryParams params;
|
||
|
DnnOperand operands[2];
|
||
|
int32_t input_indexes[1];
|
||
|
float input[1*1*2*3] = {
|
||
|
-3, 2.5, 2, -2.1, 7.8, 100
|
||
|
};
|
||
|
float *output;
|
||
|
|
||
|
params.bin_op = DMBO_SUB;
|
||
|
params.input0_broadcast = 0;
|
||
|
params.input1_broadcast = 1;
|
||
|
params.v = 7.28;
|
||
|
|
||
|
operands[0].data = input;
|
||
|
operands[0].dims[0] = 1;
|
||
|
operands[0].dims[1] = 1;
|
||
|
operands[0].dims[2] = 2;
|
||
|
operands[0].dims[3] = 3;
|
||
|
operands[1].data = NULL;
|
||
|
|
||
|
input_indexes[0] = 0;
|
||
|
dnn_execute_layer_math_binary(operands, input_indexes, 1, ¶ms);
|
||
|
|
||
|
output = operands[1].data;
|
||
|
for (int i = 0; i < sizeof(input) / sizeof(float); i++) {
|
||
|
float expected_output = input[i] - params.v;
|
||
|
if (fabs(output[i] - expected_output) > EPSON) {
|
||
|
printf("at index %d, output: %f, expected_output: %f\n", i, output[i], expected_output);
|
||
|
av_freep(&output);
|
||
|
return 1;
|
||
|
}
|
||
|
}
|
||
|
|
||
|
av_freep(&output);
|
||
|
return 0;
|
||
|
}
|
||
|
|
||
|
static int test_sub_no_broadcast(void)
|
||
|
{
|
||
|
DnnLayerMathBinaryParams params;
|
||
|
DnnOperand operands[3];
|
||
|
int32_t input_indexes[2];
|
||
|
float input0[1*1*2*3] = {
|
||
|
-3, 2.5, 2, -2.1, 7.8, 100
|
||
|
};
|
||
|
float input1[1*1*2*3] = {
|
||
|
-1, 2, 3, -21, 8, 10.0
|
||
|
};
|
||
|
float *output;
|
||
|
|
||
|
params.bin_op = DMBO_SUB;
|
||
|
params.input0_broadcast = 0;
|
||
|
params.input1_broadcast = 0;
|
||
|
|
||
|
operands[0].data = input0;
|
||
|
operands[0].dims[0] = 1;
|
||
|
operands[0].dims[1] = 1;
|
||
|
operands[0].dims[2] = 2;
|
||
|
operands[0].dims[3] = 3;
|
||
|
operands[1].data = input1;
|
||
|
operands[1].dims[0] = 1;
|
||
|
operands[1].dims[1] = 1;
|
||
|
operands[1].dims[2] = 2;
|
||
|
operands[1].dims[3] = 3;
|
||
|
operands[2].data = NULL;
|
||
|
|
||
|
input_indexes[0] = 0;
|
||
|
input_indexes[1] = 1;
|
||
|
dnn_execute_layer_math_binary(operands, input_indexes, 2, ¶ms);
|
||
|
|
||
|
output = operands[2].data;
|
||
|
for (int i = 0; i < sizeof(input0) / sizeof(float); i++) {
|
||
|
float expected_output = input0[i] - input1[i];
|
||
|
if (fabs(output[i] - expected_output) > EPSON) {
|
||
|
printf("at index %d, output: %f, expected_output: %f\n", i, output[i], expected_output);
|
||
|
av_freep(&output);
|
||
|
return 1;
|
||
|
}
|
||
|
}
|
||
|
|
||
|
av_freep(&output);
|
||
|
return 0;
|
||
|
}
|
||
|
|
||
|
static int test_sub(void)
|
||
|
{
|
||
|
if (test_sub_broadcast_input0())
|
||
|
return 1;
|
||
|
|
||
|
if (test_sub_broadcast_input1())
|
||
|
return 1;
|
||
|
|
||
|
if (test_sub_no_broadcast())
|
||
|
return 1;
|
||
|
|
||
|
return 0;
|
||
|
}
|
||
|
|
||
|
int main(int argc, char **argv)
|
||
|
{
|
||
|
if (test_sub())
|
||
|
return 1;
|
||
|
|
||
|
return 0;
|
||
|
}
|