#include <ctime></ctime>

#include "layer.all.inc.cpp"

#include "layer.all.test.inc.cpp"

#include "train.digit.inc.cpp"

bool runTests() {

 if (!AllTest::test()) return false;

 return printf("success\n"), true;

}

int main() {

  srand(time(NULL));

  //return !runTests();

  //#define FILENAME "data/output/weights-digit.bin"

  #define FILENAME "data/output/weights-digit-conv.bin"

  printf("create neural network\n");

  //Layer l(                    nullptr, Layout(28, 28) );

  //(new LayerSimple<funcsigmoidexp>( l, Layout(256)   ))->filename = FILENAME "1";</funcsigmoidexp>

  //(new LayerSimple<funcsigmoidexp>( l, Layout(64)    ))->filename = FILENAME "2";</funcsigmoidexp>

  //(new LayerSimple<funcsigmoidexp>( l, Layout(10)    ))->filename = FILENAME "3";</funcsigmoidexp>

  Layer l(nullptr, Layout(28, 28));

  (new LayerConvShared<funcsigmoidexp>(l, Layout(11, 11, 16), Kernel(6, 2, 0)))->filename = FILENAME "1";</funcsigmoidexp>

  (new LayerSimple<funcsigmoidexp>(l, Layout(64)))->filename  = FILENAME "2";</funcsigmoidexp>

  (new LayerSimple<funcsigmoidexp>(l, Layout(10)))->filename  = FILENAME "3";</funcsigmoidexp>

  l.sumStat().print();

  printf("load training data\n");

  TrainerDigit t;

  if (!t.loadSymbolMap("data/symbols-data.bin")) return 1; // 28x28

  //printf("try load previously saved network\n"); l.load();

  printf("train\n");

  //t.configure(l, 0.5, 8, 70000, 0, 0, 0.00001).run();

  t.configure(l, 0.1, 8, 70000, 0, 0, 0.00001).run();

  return 0;

}