dnn-layer-mathbinary-test: add unit test for subtraction

Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
This commit is contained in:
Guo, Yejun 2020-03-21 10:58:11 +08:00
parent ffa1561608
commit bbc64799dc
4 changed files with 180 additions and 0 deletions

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@ -2,3 +2,4 @@
/dnn-layer-depth2space-test
/dnn-layer-maximum-test
/dnn-layer-pad-test
/dnn-layer-mathbinary-test

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@ -1,6 +1,7 @@
DNNTESTPROGS += dnn-layer-pad
DNNTESTPROGS += dnn-layer-conv2d
DNNTESTPROGS += dnn-layer-depth2space
DNNTESTPROGS += dnn-layer-mathbinary
DNNTESTPROGS += dnn-layer-maximum
DNNTESTOBJS := $(DNNTESTOBJS:%=$(DNNTESTSDIR)%) $(DNNTESTPROGS:%=$(DNNTESTSDIR)/%-test.o)

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@ -0,0 +1,173 @@
/*
* 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, &params);
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, &params);
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, &params);
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;
}

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@ -13,6 +13,11 @@ fate-dnn-layer-depth2space: $(DNNTESTSDIR)/dnn-layer-depth2space-test$(EXESUF)
fate-dnn-layer-depth2space: CMD = run $(DNNTESTSDIR)/dnn-layer-depth2space-test$(EXESUF)
fate-dnn-layer-depth2space: CMP = null
FATE_DNN += fate-dnn-layer-mathbinary
fate-dnn-layer-mathbinary: $(DNNTESTSDIR)/dnn-layer-mathbinary-test$(EXESUF)
fate-dnn-layer-mathbinary: CMD = run $(DNNTESTSDIR)/dnn-layer-mathbinary-test$(EXESUF)
fate-dnn-layer-mathbinary: CMP = null
FATE_DNN += fate-dnn-layer-maximum
fate-dnn-layer-maximum: $(DNNTESTSDIR)/dnn-layer-maximum-test$(EXESUF)
fate-dnn-layer-maximum: CMD = run $(DNNTESTSDIR)/dnn-layer-maximum-test$(EXESUF)