MaxPool3DLayerDenseBatch.java

/* file: MaxPool3DLayerDenseBatch.java */
/*******************************************************************************
* Copyright 2014-2019 Intel Corporation.
*
* This software and the related documents are Intel copyrighted  materials,  and
* your use of  them is  governed by the  express license  under which  they were
* provided to you (License).  Unless the License provides otherwise, you may not
* use, modify, copy, publish, distribute,  disclose or transmit this software or
* the related documents without Intel's prior written permission.
*
* This software and the related documents  are provided as  is,  with no express
* or implied  warranties,  other  than those  that are  expressly stated  in the
* License.
*******************************************************************************/

/*
 //  Content:
 //  Java example of neural network forward and backward three-dimensional maximum pooling layers usage
 */

package com.intel.daal.examples.neural_networks;

import com.intel.daal.algorithms.neural_networks.layers.maximum_pooling3d.*;
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 MaxPool3DLayerDenseBatch {
    private static DaalContext context = new DaalContext();
    static float dataArray[] = {
        1,  2,  3,  4,
        5,  6,  7,  8,
        9, 10, 11, 12,
        13, 14, 15, 16,
        17, 18, 19, 20,
        21, 22, 23, 24
    };
    static long[] dims = {3, 2, 4};
    public static void main(String[] args) throws java.io.FileNotFoundException, java.io.IOException {
        /* Read datasetFileName from a file and create a tensor to store forward input data */
        HomogenTensor data = new HomogenTensor(context, dims, dataArray);
        long nDim = data.getDimensions().length;

        /* Print the input of the forward three-dimensional pooling */
        Service.printTensor3d("Forward maximum pooling layer input:", data, 0, 0);

        /* Create an algorithm to compute forward three-dimensional pooling results using default method */
        MaximumPooling3dForwardBatch maximumPooling3DLayerForward = new MaximumPooling3dForwardBatch(context, Float.class, MaximumPooling3dMethod.defaultDense, nDim);

        /* Set input objects for the forward three-dimensional pooling */
        maximumPooling3DLayerForward.input.set(ForwardInputId.data, data);

        /* Compute forward three-dimensional pooling results */
        MaximumPooling3dForwardResult forwardResult = maximumPooling3DLayerForward.compute();

        /* Print the results of the forward three-dimensional pooling */
        Service.printTensor3d("Forward maximum pooling layer result:", forwardResult.get(ForwardResultId.value), 0, 0);
        Service.printTensor3d("Forward maximum pooling layer selected indices:",
                            forwardResult.get(MaximumPooling3dLayerDataId.auxSelectedIndices), 0, 0);

        /* Create an algorithm to compute backward three-dimensional pooling results using default method */
        MaximumPooling3dBackwardBatch maximumPooling3DLayerBackward = new MaximumPooling3dBackwardBatch(context, Float.class, MaximumPooling3dMethod.defaultDense, nDim);

        /* Set input objects for the backward three-dimensional pooling */
        maximumPooling3DLayerBackward.input.set(BackwardInputId.inputGradient, forwardResult.get(ForwardResultId.value));
        maximumPooling3DLayerBackward.input.set(BackwardInputLayerDataId.inputFromForward,
                                                forwardResult.get(ForwardResultLayerDataId.resultForBackward));

        /* Compute backward three-dimensional pooling results */
        MaximumPooling3dBackwardResult backwardResult = maximumPooling3DLayerBackward.compute();

        /* Print the results of the backward three-dimensional pooling */
        Service.printTensor3d("Backward maximum pooling layer result:", backwardResult.get(BackwardResultId.gradient), 0, 0);

        context.dispose();
    }
}
For more complete information about compiler optimizations, see our Optimization Notice.
Select sticky button color: 
Orange (only for download buttons)