#include "daal.h"
#include "service.h"
using namespace std;
using namespace daal;
using namespace daal::algorithms;
using namespace daal::algorithms::neural_networks::layers;
using namespace daal::data_management;
using namespace daal::services;
string datasetName = "../data/batch/layer.csv";
int main()
{
TensorPtr tensorData = readTensorFromCSV(datasetName);
elu::forward::Batch<> eluLayerForward;
eluLayerForward.input.set(forward::data, tensorData);
eluLayerForward.compute();
elu::forward::ResultPtr forwardResult = eluLayerForward.getResult();
printTensor(forwardResult->get(forward::value), "Forward ELU layer result (first 5 rows):", 5);
const Collection<size_t> &gDims = forwardResult->get(forward::value)->getDimensions();
TensorPtr tensorDataBack = TensorPtr(new HomogenTensor<>(gDims, Tensor::doAllocate, 1.0f));
elu::backward::Batch<> eluLayerBackward;
eluLayerBackward.input.set(backward::inputGradient, tensorDataBack);
eluLayerBackward.input.set(backward::inputFromForward, forwardResult->get(forward::resultForBackward));
eluLayerBackward.compute();
backward::ResultPtr backwardResult = eluLayerBackward.getResult();
printTensor(backwardResult->get(backward::gradient), "Backward ELU layer result (first 5 rows):", 5);
return 0;
}