#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);
tanh::forward::Batch<> tanhLayerForward;
tanhLayerForward.input.set(forward::data, tensorData);
tanhLayerForward.compute();
forward::ResultPtr forwardResult = tanhLayerForward.getResult();
printTensor(forwardResult->get(forward::value), "Forward tanh layer result (first 5 rows):", 5);
const Collection<size_t> &gDims = forwardResult->get(forward::value)->getDimensions();
TensorPtr tensorDataBack = TensorPtr(new HomogenTensor<>(gDims, Tensor::doAllocate, 0.01f));
tanh::backward::Batch<> tanhLayerBackward;
tanhLayerBackward.input.set(backward::inputGradient, tensorDataBack);
tanhLayerBackward.input.set(backward::inputFromForward, forwardResult->get(forward::resultForBackward));
tanhLayerBackward.compute();
backward::ResultPtr backwardResult = tanhLayerBackward.getResult();
printTensor(backwardResult->get(backward::gradient), "Backward tanh layer result (first 5 rows):", 5);
return 0;
}