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Use UnitTest-Cpp library for testing

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Ilusha 2024-03-15 16:03:33 +03:00 • committed by Ilya Shurupov
parent 79d018ffb4
commit b8bcf58a29
53 changed files with 1046 additions and 1383 deletions
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45
DataAnalysis/tests/Tests.cpp
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@ -1,39 +1,40 @@
#include "NewPlacement.hpp"
#include "UnitTest++/UnitTest++.h"
#include "FCNN.hpp"
#include "Testing.hpp"
#include "Utils.hpp"
#include <cstdio>
using namespace tp;
void test() {
Buffer<halni> layers = { 100, 70, 50, 30, 20 };
Buffer<halnf> input(layers.first());
Buffer<halnf> outputExpected(layers.last());
Buffer<halnf> output(layers.last());
SUITE(FCNN) {
TEST(Basic) {
Buffer<halni> layers = { 100, 70, 50, 30, 20 };
Buffer<halnf> input(layers.first());
Buffer<halnf> outputExpected(layers.last());
Buffer<halnf> output(layers.last());
for (auto inputVal : Range(layers.first())) {
input[inputVal] = (halnf) randomFloat() * 100;
}
for (auto inputVal : Range(layers.first())) {
input[inputVal] = (halnf) randomFloat() * 100;
}
for (auto outIdx : Range(layers.last())) {
outputExpected[outIdx] = (halnf) randomFloat();
}
for (auto outIdx : Range(layers.last())) {
outputExpected[outIdx] = (halnf) randomFloat();
}
FCNN nn(layers);
halnf steppingValue = 100;
FCNN nn(layers);
halnf steppingValue = 100;
for (auto i : Range(50)) {
for (auto i : Range(50)) {
nn.evaluate(input, output);
nn.evaluate(input, output);
nn.calcGrad(outputExpected);
nn.applyGrad(steppingValue);
nn.calcGrad(outputExpected);
nn.applyGrad(steppingValue);
printf("Loss %f \n", nn.calcCost(outputExpected));
printf("Loss %f \n", nn.calcCost(outputExpected));
}
}
}
@ -45,9 +46,9 @@ int main() {
return 1;
}
test();
bool res = UnitTest::RunAllTests();
testModule.deinitialize();
return 0;
return res;
}