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NumRec Fixes

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IlyaShurupov 2023-10-25 20:41:48 +03:00 • committed by Ilya Shurupov
parent 90ce453b60
commit 4804e51ad7
5 changed files with 181 additions and 148 deletions
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46
DataAnalysis/tests/Tests.cpp
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@ -1,49 +1,45 @@
#include "NewPlacement.hpp"
#include "FullyConnectedNN.hpp"
#include "FCNN.hpp"
#include "Testing.hpp"
#include "Utils.hpp"
#include <stdio.h>
#include <cstdio>
static bool init(const tp::ModuleManifest* self) {
tp::gTesting.setRootName(self->getName());
return true;
}
using namespace tp;
void test() {
using namespace tp;
Buffer<halni> layers = { 100, 70, 50, 30, 20 };
Buffer<halnf> input(layers.first());
Buffer<halnf> outputExpected(layers.last());
Buffer<halnf> output(layers.last());
Buffer<halni> layers = { 4, 4, 3, 2 };
Buffer<halnf> input = { (halnf) randomFloat() * 100, (halnf) randomFloat() * 100, (halnf) randomFloat() * 100, (halnf) randomFloat() * 100 };
Buffer<halnf> outputExpected = { (halnf) randomFloat(), (halnf) randomFloat() };
for (auto inputVal : Range(layers.first())) {
input[inputVal] = (halnf) randomFloat() * 100;
}
FullyConnectedNN nn;
Buffer<halnf> output(2);
for (auto outIdx : Range(layers.last())) {
outputExpected[outIdx] = (halnf) randomFloat();
}
nn.initializeRandom(layers);
// nn.mLayers.last().neurons.first().weights = { 0.35, 0.35, 0.35, 0.35 };
// nn.mLayers.last().neurons.first().bias = 0.9;
// nn.mLayers.last().neurons.last().weights = { -0.35, -0.35, -0.35, -0.35 };
// nn.mLayers.last().neurons.last().bias = -3.9;
FCNN nn(layers);
halnf steppingValue = 100;
for (auto i : Range(50)) {
nn.evaluate(input, output);
auto lossBefore = nn.calcCost(outputExpected);
nn.calcGrad(outputExpected);
nn.applyGrad(0.1);
printf("Loss %f \n", lossBefore);
nn.applyGrad(steppingValue);
printf("Loss %f \n", nn.calcCost(outputExpected));
}
}
int main() {
tp::ModuleManifest* deps[] = { &tp::gModuleDataAnalysis, &tp::gModuleUtils, nullptr };
tp::ModuleManifest testModule("DataAnalysisTest", init, nullptr, deps);
tp::ModuleManifest testModule("DataAnalysisTest", nullptr, nullptr, deps);
if (!testModule.initialize()) {
return 1;