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layerTests.cpp
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layerTests.cpp
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//
// layerTests.cpp
//
//
// Created by Márton Szemenyei on 2018. 06. 01..
//
#include <iostream>
#include <fstream>
#include <cmath>
#include "Utils.h"
#include "RoboDNN.h"
float* loadTensor(std::string file, int32_t N)
{
std::ifstream ifile(file);
if (!ifile.is_open())
{
std::cout << "couldn't load " << file << std::endl;
return NULL;
}
float *tensor = new float[N];
loadweights_bin_float(ifile,N,tensor);
return tensor;
}
void compareTensors( float* in1, float* in2, int32_t N)
{
for (int32_t i = 0; i < N; i++) {
if( std::fabs(in1[i]-in2[i]) > (std::fabs(in1[i]) + std::fabs(in2[i]))*0.1 )
{
std::cout << "Failed at position " << i << " " << in1[i] << "," << in2[i] << std::endl;
//return;
}
}
std::cout << "Success" << std::endl;
}
int main()
{
// Data Sizes
int32_t FCISize = 32;
int32_t FCOSize = 16;
int32_t CISize = 32*32*4;
int32_t COSize = 32*32*8;
int32_t CSOSize = 32*32*2;
int32_t CPOSize = 16*16*4;
int32_t TCOSize = 64*64*8;
// Read Data
std::string tDir = "./tests/";
float *convIn = loadTensor(tDir + "dataC1.npy",CISize);
float *fcIn = loadTensor(tDir + "dataF.npy",FCISize);
// Read outputs and test nets
float *outTrue;
outTrue = loadTensor(tDir + "outFC.npy",FCOSize);
Network FCNet(tDir, "FC.cfg", "FC.npy");
compareTensors(outTrue, FCNet.forward(fcIn),FCOSize);
outTrue = loadTensor(tDir + "outAP.npy",CPOSize);
Network APNet(tDir, "AP.cfg", "AP.npy");
compareTensors(outTrue, APNet.forward(convIn),CPOSize);
outTrue = loadTensor(tDir + "outMP.npy",CPOSize);
Network MPNet(tDir, "MP.cfg", "MP.npy");
compareTensors(outTrue, MPNet.forward(convIn),CPOSize);
outTrue = loadTensor(tDir + "outBN.npy",CISize);
Network BNNet(tDir, "BN.cfg", "BN.npy");
compareTensors(outTrue, BNNet.forward(convIn),CISize);
outTrue = loadTensor(tDir + "outCat.npy",COSize);
Network CatNet(tDir, "Cat.cfg", "Cat.npy");
compareTensors(outTrue, CatNet.forward(convIn),COSize);
outTrue = loadTensor(tDir + "outShort.npy",CISize);
Network ShortNet(tDir, "Short.cfg", "Short.npy");
compareTensors(outTrue, ShortNet.forward(convIn),CISize);
outTrue = loadTensor(tDir + "outSM.npy",CISize);
Network SMNet(tDir, "SM.cfg", "SM.npy");
compareTensors(outTrue, SMNet.forward(convIn),CISize);
outTrue = loadTensor(tDir + "outReorg.npy",CISize);
Network ReorgNet(tDir, "Reorg.cfg", "Reorg.npy");
compareTensors(outTrue, ReorgNet.forward(convIn),CISize);
outTrue = loadTensor(tDir + "outTrC.npy",TCOSize);
Network TrCNet(tDir, "TrC.cfg", "TrC.npy");
compareTensors(outTrue, TrCNet.forward(convIn),TCOSize);
outTrue = loadTensor(tDir + "outC1.npy",COSize);
Network C1Net(tDir, "C1.cfg", "C1.npy");
compareTensors(outTrue, C1Net.forward(convIn),COSize);
outTrue = loadTensor(tDir + "outC2.npy",CSOSize);
Network C2Net(tDir, "C2.cfg", "C2.npy");
compareTensors(outTrue, C2Net.forward(convIn),CSOSize);
outTrue = loadTensor(tDir + "outC3.npy",COSize);
Network C3Net(tDir, "C3.cfg", "C3.npy");
compareTensors(outTrue, C3Net.forward(convIn),COSize);
outTrue = loadTensor(tDir + "outC4.npy",CSOSize);
Network C4Net(tDir, "C4.cfg", "C4.npy");
compareTensors(outTrue, C4Net.forward(convIn),CSOSize);
outTrue = loadTensor(tDir + "outC5.npy",COSize);
Network C5Net(tDir, "C5.cfg", "C5.npy");
compareTensors(outTrue, C5Net.forward(convIn),COSize);
outTrue = loadTensor(tDir + "outC6.npy",CSOSize);
Network C6Net(tDir, "C6.cfg", "C6.npy");
compareTensors(outTrue, C6Net.forward(convIn),CSOSize);
outTrue = loadTensor(tDir + "outC7.npy",COSize);
Network C7Net(tDir, "C7.cfg", "C7.npy");
compareTensors(outTrue, C7Net.forward(convIn),COSize);
outTrue = loadTensor(tDir + "outC8.npy",CSOSize);
Network C8Net(tDir, "C8.cfg", "C8.npy");
compareTensors(outTrue, C8Net.forward(convIn),CSOSize);
outTrue = loadTensor(tDir + "outC9.npy",COSize);
Network C9Net(tDir, "C9.cfg", "C9.npy");
compareTensors(outTrue, C9Net.forward(convIn),COSize);
outTrue = loadTensor(tDir + "outC10.npy",CSOSize);
Network C10Net(tDir, "C10.cfg", "C10.npy");
compareTensors(outTrue, C10Net.forward(convIn),CSOSize);
outTrue = loadTensor(tDir + "outC11.npy",COSize);
Network C11Net(tDir, "C11.cfg", "C11.npy");
compareTensors(outTrue, C11Net.forward(convIn),COSize);
outTrue = loadTensor(tDir + "outC12.npy",CSOSize);
Network C12Net(tDir, "C12.cfg", "C12.npy");
compareTensors(outTrue, C12Net.forward(convIn),CSOSize);
outTrue = loadTensor(tDir + "outC13.npy",COSize);
Network C13Net(tDir, "C13.cfg", "C13.npy");
compareTensors(outTrue, C13Net.forward(convIn),COSize);
return 0;
}