package com.intel.daal.examples.neural_networks;
import com.intel.daal.algorithms.neural_networks.layers.stochastic_pooling2d.*;
import com.intel.daal.algorithms.neural_networks.layers.ForwardResultId;
import com.intel.daal.algorithms.neural_networks.layers.ForwardResultLayerDataId;
import com.intel.daal.algorithms.neural_networks.layers.ForwardInputId;
import com.intel.daal.algorithms.neural_networks.layers.BackwardResultId;
import com.intel.daal.algorithms.neural_networks.layers.BackwardInputId;
import com.intel.daal.algorithms.neural_networks.layers.BackwardInputLayerDataId;
import com.intel.daal.data_management.data.Tensor;
import com.intel.daal.data_management.data.HomogenTensor;
import com.intel.daal.examples.utils.Service;
import com.intel.daal.services.DaalContext;
import com.intel.daal.data_management.data.NumericTable;
class StochPool2DLayerDenseBatch {
private static final String datasetFileName = "../data/batch/layer_non_negative.csv";
private static DaalContext context = new DaalContext();
public static void main(String[] args) throws java.io.FileNotFoundException, java.io.IOException {
Tensor data = Service.readTensorFromCSV(context, datasetFileName);
long nDim = data.getDimensions().length;
Service.printTensor("Forward two-dimensional stochastic pooling input (first 10 rows):", data, 10, 0);
StochasticPooling2dForwardBatch stochasticPooling2DLayerForward = new StochasticPooling2dForwardBatch(context, Float.class, StochasticPooling2dMethod.defaultDense, nDim);
stochasticPooling2DLayerForward.input.set(ForwardInputId.data, data);
StochasticPooling2dForwardResult forwardResult = stochasticPooling2DLayerForward.compute();
Service.printTensor("Forward two-dimensional stochastic pooling result (first 5 rows):", forwardResult.get(ForwardResultId.value), 5, 0);
Service.printTensor("Forward two-dimensional stochastic pooling layer selected indices (first 5 rows):",
forwardResult.get(StochasticPooling2dLayerDataId.auxSelectedIndices), 5, 0);
StochasticPooling2dBackwardBatch stochasticPooling2DLayerBackward = new StochasticPooling2dBackwardBatch(context, Float.class, StochasticPooling2dMethod.defaultDense, nDim);
stochasticPooling2DLayerBackward.input.set(BackwardInputId.inputGradient, forwardResult.get(ForwardResultId.value));
stochasticPooling2DLayerBackward.input.set(BackwardInputLayerDataId.inputFromForward,
forwardResult.get(ForwardResultLayerDataId.resultForBackward));
StochasticPooling2dBackwardResult backwardResult = stochasticPooling2DLayerBackward.compute();
Service.printTensor("Backward two-dimensional stochastic pooling result (first 10 rows):", backwardResult.get(BackwardResultId.gradient), 10, 0);
context.dispose();
}
}