Examples with ResultVariables org.apache.sysml.api.jmlc.ResultVariables used on opensource projects

Example 1 with ResultVariables

use of org.apache.sysml.api.jmlc.ResultVariables in project incubator-systemml by apache.

the class FrameCastingTest method execDMLScriptviaJMLC.

private static ArrayList<String[][]> execDMLScriptviaJMLC(String testname, String[][] F1, boolean modelReuse) throws IOException {
    Timing time = new Timing(true);
    ArrayList<String[][]> ret = new ArrayList<String[][]>();
    // establish connection to SystemML
    Connection conn = new Connection();
    try {
        // prepare input arguments
        HashMap<String, String> args = new HashMap<String, String>();
        args.put("$TRANSFORM_SPEC", "{ \"ids\": true ,\"recode\": [ 1, 2, 3] }");
        // read and precompile script
        String script = conn.readScript(SCRIPT_DIR + TEST_DIR + testname + ".dml");
        PreparedScript pstmt = conn.prepareScript(script, args, new String[] { "F1", "M" }, new String[] { "F2" }, false);
        if (modelReuse)
            pstmt.setFrame("F1", F1, true);
        // execute script multiple times
        for (int i = 0; i < nRuns; i++) {
            // bind input parameters
            if (!modelReuse)
                pstmt.setFrame("F1", F1);
            // execute script
            ResultVariables rs = pstmt.executeScript();
            // get output parameter
            String[][] Y = rs.getFrame("F2");
            // keep result for comparison
            ret.add(Y);
        }
    } catch (Exception ex) {
        ex.printStackTrace();
        throw new IOException(ex);
    } finally {
        IOUtilFunctions.closeSilently(conn);
    }
    System.out.println("JMLC scoring w/ " + nRuns + " runs in " + time.stop() + "ms.");
    return ret;
}

Example 2 with ResultVariables

use of org.apache.sysml.api.jmlc.ResultVariables in project incubator-systemml by apache.

the class FrameDecodeTest method execDMLScriptviaJMLC.

private static ArrayList<String[][]> execDMLScriptviaJMLC(String testname, String[][] F1, String[][] M, boolean modelReuse) throws IOException {
    Timing time = new Timing(true);
    ArrayList<String[][]> ret = new ArrayList<String[][]>();
    // establish connection to SystemML
    Connection conn = new Connection();
    try {
        // prepare input arguments
        HashMap<String, String> args = new HashMap<String, String>();
        args.put("$TRANSFORM_SPEC", "{ \"ids\": true ,\"recode\": [ 1, 2, 3] }");
        // read and precompile script
        String script = conn.readScript(SCRIPT_DIR + TEST_DIR + testname + ".dml");
        PreparedScript pstmt = conn.prepareScript(script, args, new String[] { "F1", "M" }, new String[] { "F2" }, false);
        if (modelReuse)
            pstmt.setFrame("M", M, true);
        // execute script multiple times
        for (int i = 0; i < nRuns; i++) {
            // bind input parameters
            if (!modelReuse)
                pstmt.setFrame("M", M);
            pstmt.setFrame("F1", F1);
            // execute script
            ResultVariables rs = pstmt.executeScript();
            // get output parameter
            String[][] Y = rs.getFrame("F2");
            // keep result for comparison
            ret.add(Y);
        }
    } catch (Exception ex) {
        ex.printStackTrace();
        throw new IOException(ex);
    } finally {
        IOUtilFunctions.closeSilently(conn);
    }
    System.out.println("JMLC scoring w/ " + nRuns + " runs in " + time.stop() + "ms.");
    return ret;
}

Example 3 with ResultVariables

use of org.apache.sysml.api.jmlc.ResultVariables in project incubator-systemml by apache.

the class FrameIndexingAppendTest method execDMLScriptviaJMLC.

private static ArrayList<String[][]> execDMLScriptviaJMLC(String testname, String[][] F1, String[][] M, boolean modelReuse) throws IOException {
    Timing time = new Timing(true);
    ArrayList<String[][]> ret = new ArrayList<String[][]>();
    // establish connection to SystemML
    Connection conn = new Connection();
    try {
        // prepare input arguments
        HashMap<String, String> args = new HashMap<String, String>();
        args.put("$TRANSFORM_SPEC1", "{ \"ids\": true ,\"recode\": [ 1, 2] }");
        args.put("$TRANSFORM_SPEC2", "{ \"ids\": true ,\"recode\": [ 1] }");
        // read and precompile script
        String script = conn.readScript(SCRIPT_DIR + TEST_DIR + testname + ".dml");
        PreparedScript pstmt = conn.prepareScript(script, args, new String[] { "F1", "M" }, new String[] { "F2" }, false);
        if (modelReuse)
            pstmt.setFrame("M", M, true);
        // execute script multiple times
        for (int i = 0; i < nRuns; i++) {
            // bind input parameters
            if (!modelReuse)
                pstmt.setFrame("M", M);
            pstmt.setFrame("F1", F1);
            // execute script
            ResultVariables rs = pstmt.executeScript();
            // get output parameter
            String[][] Y = rs.getFrame("F2");
            // keep result for comparison
            ret.add(Y);
        }
    } catch (Exception ex) {
        ex.printStackTrace();
        throw new IOException(ex);
    } finally {
        IOUtilFunctions.closeSilently(conn);
    }
    System.out.println("JMLC scoring w/ " + nRuns + " runs in " + time.stop() + "ms.");
    return ret;
}

Example 4 with ResultVariables

use of org.apache.sysml.api.jmlc.ResultVariables in project incubator-systemml by apache.

the class FrameReadMetaTest method runJMLCReadMetaTest.

private void runJMLCReadMetaTest(String testname, boolean modelReuse, boolean readFrame, boolean useSpec) throws IOException {
    String TEST_NAME = testname;
    TestConfiguration config = getTestConfiguration(TEST_NAME);
    loadTestConfiguration(config);
    // establish connection to SystemML
    Connection conn = new Connection();
    // read meta data frame
    String spec = MapReduceTool.readStringFromHDFSFile(SCRIPT_DIR + TEST_DIR + "tfmtd_example2/spec.json");
    FrameBlock M = readFrame ? DataConverter.convertToFrameBlock(conn.readStringFrame(SCRIPT_DIR + TEST_DIR + "tfmtd_frame_example/tfmtd_frame")) : conn.readTransformMetaDataFromFile(spec, SCRIPT_DIR + TEST_DIR + "tfmtd_example2/");
    try {
        // generate data based on recode maps
        HashMap<String, Long>[] RC = getRecodeMaps(spec, M);
        double[][] X = generateData(rows, cols, RC);
        String[][] F = null;
        // prepare input arguments
        HashMap<String, String> args = new HashMap<String, String>();
        args.put("$TRANSFORM_SPEC", spec);
        // read and precompile script
        String script = conn.readScript(SCRIPT_DIR + TEST_DIR + testname + ".dml");
        PreparedScript pstmt = conn.prepareScript(script, args, new String[] { "X", "M" }, new String[] { "F" }, false);
        if (modelReuse)
            pstmt.setFrame("M", M, true);
        // execute script multiple times (2 runs)
        for (int i = 0; i < 2; i++) {
            // bind input parameters
            if (!modelReuse)
                pstmt.setFrame("M", M, false);
            pstmt.setMatrix("X", X);
            // execute script
            ResultVariables rs = pstmt.executeScript();
            // get output parameter
            F = rs.getFrame("F");
        }
        // for all generated data, probe recode maps and compare versus output
        for (int i = 0; i < rows; i++) for (int j = 0; j < cols; j++) if (RC[j] != null) {
            Assert.assertEquals("Wrong result: " + F[i][j] + ".", Double.valueOf(X[i][j]), Double.valueOf(RC[j].get(F[i][j]).toString()));
        }
    } catch (Exception ex) {
        ex.printStackTrace();
        throw new IOException(ex);
    } finally {
        IOUtilFunctions.closeSilently(conn);
    }
}

Example 5 with ResultVariables

use of org.apache.sysml.api.jmlc.ResultVariables in project incubator-systemml by apache.

the class FrameTransformTest method execDMLScriptviaJMLC.

private static ArrayList<double[][]> execDMLScriptviaJMLC(String testname, String[][] X, String[][] M, boolean modelReuse) throws IOException {
    Timing time = new Timing(true);
    ArrayList<double[][]> ret = new ArrayList<double[][]>();
    // establish connection to SystemML
    Connection conn = new Connection();
    try {
        // prepare input arguments
        HashMap<String, String> args = new HashMap<String, String>();
        args.put("$TRANSFORM_SPEC", "{ \"ids\": true ,\"recode\": [ 1, 2, 3] }");
        // read and precompile script
        String script = conn.readScript(SCRIPT_DIR + TEST_DIR + testname + ".dml");
        PreparedScript pstmt = conn.prepareScript(script, args, new String[] { "X", "M" }, new String[] { "Y" }, false);
        if (modelReuse)
            pstmt.setFrame("M", M, true);
        // execute script multiple times
        for (int i = 0; i < nRuns; i++) {
            // bind input parameters
            if (!modelReuse)
                pstmt.setFrame("M", M);
            pstmt.setFrame("X", X);
            // execute script
            ResultVariables rs = pstmt.executeScript();
            // get output parameter
            double[][] Y = rs.getMatrix("Y");
            // keep result for comparison
            ret.add(Y);
        }
    } catch (Exception ex) {
        ex.printStackTrace();
        throw new IOException(ex);
    } finally {
        IOUtilFunctions.closeSilently(conn);
    }
    System.out.println("JMLC scoring w/ " + nRuns + " runs in " + time.stop() + "ms.");
    return ret;
}