/* file: ReLUDenseBatch.java */
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* This software and the related documents are Intel copyrighted  materials,  and
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 //  Content:
 //     Java example of ReLU algorithm

package com.intel.daal.examples.math;

import com.intel.daal.algorithms.math.relu.*;
import com.intel.daal.data_management.data.NumericTable;
import com.intel.daal.data_management.data_source.DataSource;
import com.intel.daal.data_management.data_source.FileDataSource;
import com.intel.daal.examples.utils.Service;
import com.intel.daal.services.DaalContext;

class ReLUDenseBatch {
    private static final String dataset = "../data/batch/covcormoments_dense.csv";
    private static DaalContext context = new DaalContext();

    public static void main(String[] args) throws java.io.FileNotFoundException, java.io.IOException {
        /* Retrieve the input data */
        FileDataSource dataSource = new FileDataSource(context, dataset,

        NumericTable input = dataSource.getNumericTable();

        /* Create an algorithm */
        Batch reluAlgorithm = new Batch(context, Float.class, Method.defaultDense);

        /* Set an input object for the algorithm */
        reluAlgorithm.input.set(InputId.data, input);

        /* Compute ReLU function */
        Result result = reluAlgorithm.compute();

        /* Print the results of the algorithm */
        Service.printNumericTable("ReLU result (first 5 rows):", result.get(ResultId.value), 5);

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