Example usage for java.nio DoubleBuffer allocate

Introduction

In this page you can find the example usage for java.nio DoubleBuffer allocate.

Prototype

public static DoubleBuffer allocate(int capacity) 

Source Link

Document

Creates a double buffer based on a newly allocated double array.

Usage

From source file:edu.iu.daal_pca.Service.java

public static void printClassificationResult(NumericTable groundTruth, NumericTable classificationResults,
        String header1, String header2, String message, int nMaxRows) {
    int nCols = (int) groundTruth.getNumberOfColumns();
    int nRows = Math.min((int) groundTruth.getNumberOfRows(), nMaxRows);

    DoubleBuffer dataGroundTruth = DoubleBuffer.allocate(nCols * nRows);
    dataGroundTruth = groundTruth.getBlockOfRows(0, nRows, dataGroundTruth);

    DoubleBuffer dataClassificationResults = DoubleBuffer.allocate(nCols * nRows);
    dataClassificationResults = classificationResults.getBlockOfRows(0, nRows, dataClassificationResults);

    System.out.println(message);/*  ww w  .  j a v  a  2  s  .co  m*/
    System.out.println(header1 + "\t" + header2);
    for (int i = 0; i < nRows; i++) {
        for (int j = 0; j < 1; j++) {
            System.out.format("%+.0f\t\t%+.0f\n", dataGroundTruth.get(i * nCols + j),
                    dataClassificationResults.get(i * nCols + j));
        }
    }
}

---

From source file:edu.iu.daal_pca.Service.java

public static void printNumericTable(String header, NumericTable nt, long nPrintedRows, long nPrintedCols) {
    long nNtCols = nt.getNumberOfColumns();
    long nNtRows = nt.getNumberOfRows();
    long nRows = nNtRows;
    long nCols = nNtCols;

    if (nPrintedRows > 0) {
        nRows = Math.min(nNtRows, nPrintedRows);
    }/*w  w  w. j av a  2  s. co m*/

    DoubleBuffer result = DoubleBuffer.allocate((int) (nNtCols * nRows));
    result = nt.getBlockOfRows(0, nRows, result);

    if (nPrintedCols > 0) {
        nCols = Math.min(nNtCols, nPrintedCols);
    }

    StringBuilder builder = new StringBuilder();
    builder.append(header);
    builder.append("\n");
    for (long i = 0; i < nRows; i++) {
        for (long j = 0; j < nCols; j++) {
            String tmp = String.format("%-6.3f ", result.get((int) (i * nNtCols + j)));
            builder.append(tmp);
        }
        builder.append("\n");
    }
    System.out.println(builder.toString());
    // LOG.info(builder.toString());
}

---

From source file:edu.iu.daal_pca.Service.java

public static void printTensor(String header, Tensor dataTensor, int nPrintedRows, int nPrintedCols) {
    long[] dims = dataTensor.getDimensions();
    int nRows = (int) dims[0];
    if (nPrintedRows == 0 || nRows < nPrintedRows)
        nPrintedRows = nRows;/*from w w  w.  j a v  a2 s  . co m*/

    int nCols = 1;
    for (int i = 1; i < dims.length; i++) {
        nCols *= dims[i];
    }
    DoubleBuffer result = DoubleBuffer.allocate(nRows * nCols);
    long[] fixed = {};
    result = dataTensor.getSubtensor(fixed, 0, nPrintedRows, result);

    if (nPrintedCols == 0 || nCols < nPrintedCols) {
        nPrintedCols = nCols;
    }

    StringBuilder builder = new StringBuilder();
    builder.append(header);
    builder.append("\n");
    for (long i = 0; i < nPrintedRows; i++) {
        for (long j = 0; j < nPrintedCols; j++) {
            String tmp = String.format("%-6.3f   ", result.get((int) (i * nCols + j)));
            builder.append(tmp);
        }
        builder.append("\n");
    }
    System.out.println(builder.toString());
}

---

From source file:edu.iu.daal_pca.Service.java

public static void printTensors(String header1, String header2, String message, Tensor dataTensor1,
        Tensor dataTensor2, int nPrintedRows) {
    long[] dims1 = dataTensor1.getDimensions();
    int nRows1 = (int) dims1[0];
    if (nPrintedRows == 0 || nRows1 < nPrintedRows)
        nPrintedRows = nRows1;/*  ww w  .  j  a  va2s .  com*/

    int nCols1 = 1;
    for (int i = 1; i < dims1.length; i++) {
        nCols1 *= dims1[i];
    }

    long[] dims2 = dataTensor2.getDimensions();
    int nRows2 = (int) dims2[0];
    if (nPrintedRows == 0 || nRows2 < nPrintedRows)
        nPrintedRows = nRows2;

    int nCols2 = 1;
    for (int i = 1; i < dims2.length; i++) {
        nCols2 *= dims2[i];
    }

    long[] fixed = {};

    DoubleBuffer result1 = DoubleBuffer.allocate(nRows1 * nCols1);
    result1 = dataTensor1.getSubtensor(fixed, 0, nPrintedRows, result1);

    DoubleBuffer result2 = DoubleBuffer.allocate(nRows2 * nCols2);
    result2 = dataTensor2.getSubtensor(fixed, 0, nPrintedRows, result2);

    StringBuilder builder = new StringBuilder();
    builder.append(message);
    builder.append("\n");
    builder.append(header1 + "\t" + header2 + "\n");
    for (long i = 0; i < nPrintedRows; i++) {
        for (long j = 0; j < nCols1; j++) {
            String tmp = String.format("%-6.3f   ", result1.get((int) (i * nCols1 + j)));
            builder.append(tmp);
        }
        builder.append("\t");
        for (long j = 0; j < nCols2; j++) {
            String tmp = String.format("%-6.3f   ", result2.get((int) (i * nCols2 + j)));
            builder.append(tmp);
        }
        builder.append("\n");
    }
    System.out.println(builder.toString());
}

---

From source file:edu.iu.daal_pca.Service.java

public static Tensor readTensorFromCSV(DaalContext context, String datasetFileName) {
    FileDataSource dataSource = new FileDataSource(context, datasetFileName,
            DataSource.DictionaryCreationFlag.DoDictionaryFromContext,
            DataSource.NumericTableAllocationFlag.DoAllocateNumericTable);
    dataSource.loadDataBlock();//from   w w  w  . j  a  va  2 s.co  m
    NumericTable nt = dataSource.getNumericTable();
    int nRows = (int) nt.getNumberOfRows();
    int nCols = (int) nt.getNumberOfColumns();
    if (nCols > 1) {
        long[] dims = { nRows, nCols };
        float[] data = new float[nRows * nCols];
        DoubleBuffer buffer = DoubleBuffer.allocate(nRows * nCols);
        buffer = nt.getBlockOfRows(0, nRows, buffer);
        for (int i = 0; i < nRows * nCols; i++) {
            data[i] = (float) buffer.get(i);
        }

        return new HomogenTensor(context, dims, data);
    } else {
        long[] dims = { nRows };
        float[] data = new float[nRows];
        DoubleBuffer buffer = DoubleBuffer.allocate(nRows);
        buffer = nt.getBlockOfRows(0, nRows, buffer);
        for (int i = 0; i < nRows; i++) {
            data[i] = (float) buffer.get(i);
        }

        return new HomogenTensor(context, dims, data);
    }
}

---

From source file:ummisco.gama.opengl.vaoGenerator.GeomMathUtils.java

static public DoubleBuffer getDoubleBuffer(final Matrix4d matrix) {
    final DoubleBuffer result = DoubleBuffer.allocate(16);
    result.put(0, matrix.m00);//from   ww w  .j a v  a  2s .c o m
    result.put(1, matrix.m01);
    result.put(2, matrix.m02);
    result.put(3, matrix.m03);
    result.put(4, matrix.m10);
    result.put(5, matrix.m11);
    result.put(6, matrix.m12);
    result.put(7, matrix.m13);
    result.put(8, matrix.m20);
    result.put(9, matrix.m21);
    result.put(10, matrix.m22);
    result.put(11, matrix.m23);
    result.put(12, matrix.m30);
    result.put(13, matrix.m31);
    result.put(14, matrix.m32);
    result.put(15, matrix.m33);
    return result;
}

---

• «
• 1
• 2
• 3
• »