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

Example 31 with Connection

use of org.apache.sysml.api.jmlc.Connection in project systemml by apache.

the class JMLCInputOutputTest method testScalarOutputScalarObject.

@Test
public void testScalarOutputScalarObject() throws DMLException {
    Connection conn = new Connection();
    String str = "outDouble = 1.23;\nwrite(outDouble, './tmp/outDouble');";
    PreparedScript script = conn.prepareScript(str, new String[] {}, new String[] { "outDouble" }, false);
    ScalarObject so = script.executeScript().getScalarObject("outDouble");
    double result = so.getDoubleValue();
    Assert.assertEquals(1.23, result, 0);
    conn.close();
}

Example 32 with Connection

use of org.apache.sysml.api.jmlc.Connection in project 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 33 with Connection

use of org.apache.sysml.api.jmlc.Connection in project systemml by apache.

the class ReuseModelVariablesTest method execDMLScriptviaJMLC.

private static 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 34 with Connection

use of org.apache.sysml.api.jmlc.Connection in project systemml by apache.

the class APICodegenTest method runMLContextParforDatasetTest.

private void runMLContextParforDatasetTest(boolean jmlc) {
    try {
        double[][] X = getRandomMatrix(rows, cols, -10, 10, sparsity, 76543);
        MatrixBlock mX = DataConverter.convertToMatrixBlock(X);
        String s = "X = read(\"/tmp\");" + "R = colSums(X/rowSums(X));" + "write(R, \"tmp2\")";
        // execute scripts
        if (jmlc) {
            DMLScript.STATISTICS = true;
            Connection conn = new Connection(ConfigType.CODEGEN_ENABLED, ConfigType.ALLOW_DYN_RECOMPILATION);
            PreparedScript pscript = conn.prepareScript(s, new String[] { "X" }, new String[] { "R" }, false);
            pscript.setMatrix("X", mX, false);
            pscript.executeScript();
            conn.close();
            System.out.println(Statistics.display());
        } else {
            SparkConf conf = SparkExecutionContext.createSystemMLSparkConf().setAppName("MLContextTest").setMaster("local");
            JavaSparkContext sc = new JavaSparkContext(conf);
            MLContext ml = new MLContext(sc);
            ml.setConfigProperty(DMLConfig.CODEGEN, "true");
            ml.setStatistics(true);
            Script script = dml(s).in("X", mX).out("R");
            ml.execute(script);
            ml.resetConfig();
            sc.stop();
            ml.close();
        }
        // check for generated operator
        Assert.assertTrue(heavyHittersContainsSubString("spoofRA"));
    } catch (Exception ex) {
        throw new RuntimeException(ex);
    }
}

Example 35 with Connection

use of org.apache.sysml.api.jmlc.Connection 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;
}