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addapting more tests to gtest

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Shin
2016-03-31 16:48:02 +02:00
parent 5c1d1efcc0
commit e6a5882e58
4 changed files with 169 additions and 174 deletions
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70
tests/feedforward.cpp
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@@ -1,47 +1,43 @@
#include <NeuralNetwork/FeedForward/Network.h>
#include <cassert>
#include <iostream>
#include "gtest/gtest.h"
int main() {
{ // XOR problem
NeuralNetwork::FeedForward::Network n(2);
NeuralNetwork::ActivationFunction::Sigmoid a(-1);
NeuralNetwork::FeedForward::Layer &hidden=n.appendLayer(2,a);
NeuralNetwork::FeedForward::Layer &out = n.appendLayer(1,a);
TEST(FeedForward, XOR) {
NeuralNetwork::FeedForward::Network n(2);
NeuralNetwork::ActivationFunction::Sigmoid a(-1);
NeuralNetwork::FeedForward::Layer &hidden=n.appendLayer(2,a);
NeuralNetwork::FeedForward::Layer &out = n.appendLayer(1,a);
hidden[1].weight(n[0][0])=7;
hidden[1].weight(n[0][1])=-4.7;
hidden[1].weight(n[0][2])=-4.7;
hidden[1].weight(n[0][0])=7;
hidden[1].weight(n[0][1])=-4.7;
hidden[1].weight(n[0][2])=-4.7;
hidden[2].weight(n[0][0])=2.6;
hidden[2].weight(n[0][1])=-6.4;
hidden[2].weight(n[0][2])=-6.4;
hidden[2].weight(n[0][0])=2.6;
hidden[2].weight(n[0][1])=-6.4;
hidden[2].weight(n[0][2])=-6.4;
out[1].weight(hidden[0])=-4.5;
out[1].weight(hidden[1])=9.6;
out[1].weight(hidden[2])=-6.8;
out[1].weight(hidden[0])=-4.5;
out[1].weight(hidden[1])=9.6;
out[1].weight(hidden[2])=-6.8;
{
std::vector<float> ret =n.computeOutput({1,1});
assert(ret[0] < 0.5);
}
{
std::vector<float> ret =n.computeOutput({0,1});
assert(ret[0] > 0.5);
}
{
std::vector<float> ret =n.computeOutput({1,0});
assert(ret[0] > 0.5);
}
{
std::vector<float> ret =n.computeOutput({0,0});
assert(ret[0] < 0.5);
}
{
std::vector<float> ret =n.computeOutput({1,1});
ASSERT_LT(ret[0], 0.5);
}
}
{
std::vector<float> ret =n.computeOutput({0,1});
ASSERT_GT(ret[0], 0.5);
}
{
std::vector<float> ret =n.computeOutput({1,0});
ASSERT_GT(ret[0], 0.5);
}
{
std::vector<float> ret =n.computeOutput({0,0});
ASSERT_LT(ret[0], 0.5);
}
}