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

Example 6 with ResultVariables

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

the class ReuseModelVariablesTest method execDMLScriptviaJMLC.

/**
	 * 
	 * @param X
	 * @return
	 * @throws DMLException
	 * @throws IOException
	 */
private ArrayList<double[][]> execDMLScriptviaJMLC(String testname, ArrayList<double[][]> X, boolean modelReuse) throws IOException {
    Timing time = new Timing(true);
    ArrayList<double[][]> ret = new ArrayList<double[][]>();
    //establish connection to SystemML
    Connection conn = new Connection();
    try {
        // For now, JMLC pipeline only allows dml
        boolean parsePyDML = false;
        //read and precompile script
        String script = conn.readScript(SCRIPT_DIR + TEST_DIR + testname + ".dml");
        PreparedScript pstmt = conn.prepareScript(script, new String[] { "X", "W" }, new String[] { "predicted_y" }, parsePyDML);
        //read model
        String modelData = conn.readScript(SCRIPT_DIR + TEST_DIR + MODEL_FILE);
        double[][] W = conn.convertToDoubleMatrix(modelData, rows, cols);
        if (modelReuse)
            pstmt.setMatrix("W", W, true);
        //execute script multiple times
        for (int i = 0; i < nRuns; i++) {
            //bind input parameters
            if (!modelReuse)
                pstmt.setMatrix("W", W);
            pstmt.setMatrix("X", X.get(i));
            //execute script
            ResultVariables rs = pstmt.executeScript();
            //get output parameter
            double[][] Y = rs.getMatrix("predicted_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;
}

Example 7 with ResultVariables

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

the class FrameEncodeTest method execDMLScriptviaJMLC.

/**
	 * 
	 * @param X
	 * @return
	 * @throws DMLException
	 * @throws IOException
	 */
private 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 8 with ResultVariables

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

the class FrameLeftIndexingTest method execDMLScriptviaJMLC.

/**
	 * 
	 * @param X
	 * @return
	 * @throws DMLException
	 * @throws IOException
	 */
private 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 9 with ResultVariables

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

the class SystemTMulticlassSVMScoreTest method execDMLScriptviaJMLC.

/**
	 * 
	 * @param X
	 * @return
	 * @throws DMLException
	 * @throws IOException
	 */
private ArrayList<double[][]> execDMLScriptviaJMLC(ArrayList<double[][]> X) throws IOException {
    Timing time = new Timing(true);
    ArrayList<double[][]> ret = new ArrayList<double[][]>();
    //establish connection to SystemML
    Connection conn = new Connection();
    try {
        // For now, JMLC pipeline only allows dml
        boolean parsePyDML = false;
        //read and precompile script
        String script = conn.readScript(SCRIPT_DIR + TEST_DIR + TEST_NAME + ".dml");
        PreparedScript pstmt = conn.prepareScript(script, new String[] { "X", "W" }, new String[] { "predicted_y" }, parsePyDML);
        //read model
        String modelData = conn.readScript(SCRIPT_DIR + TEST_DIR + MODEL_FILE);
        double[][] W = conn.convertToDoubleMatrix(modelData, rows, cols);
        //execute script multiple times
        for (int i = 0; i < nRuns; i++) {
            //bind input parameters
            pstmt.setMatrix("W", W);
            pstmt.setMatrix("X", X.get(i));
            //execute script
            ResultVariables rs = pstmt.executeScript();
            //get output parameter
            double[][] Y = rs.getMatrix("predicted_y");
            //keep result for comparison
            ret.add(Y);
        }
    } catch (Exception ex) {
        ex.printStackTrace();
        throw new IOException(ex);
    } finally {
        if (conn != null)
            conn.close();
    }
    System.out.println("JMLC scoring w/ " + nRuns + " runs in " + time.stop() + "ms.");
    return ret;
}