use of org.apache.sysml.api.jmlc.PreparedScript in project incubator-systemml by apache.
the class JMLCParfor2ForCompileTest method runJMLCParFor2ForTest.
private void runJMLCParFor2ForTest(boolean par) throws IOException {
try {
Connection conn = !par ? new Connection() : new Connection(ConfigType.PARALLEL_LOCAL_OR_REMOTE_PARFOR);
String script = " X = rand(rows=10, cols=10);" + "R = matrix(0, rows=10, cols=1)" + "parfor(i in 1:nrow(X))" + " R[i,] = sum(X[i,])" + "print(sum(R))";
DMLScript.STATISTICS = true;
Statistics.reset();
PreparedScript pscript = conn.prepareScript(script, new String[] {}, new String[] {}, false);
pscript.executeScript();
conn.close();
} catch (Exception ex) {
Assert.fail("JMLC parfor test failed: " + ex.getMessage());
}
// check for existing or non-existing parfor
Assert.assertTrue(Statistics.getParforOptCount() == (par ? 1 : 0));
}
use of org.apache.sysml.api.jmlc.PreparedScript in project incubator-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);
}
}
use of org.apache.sysml.api.jmlc.PreparedScript in project incubator-systemml by apache.
the class FrameEncodeTest 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("$TRANSFORM_SPEC", "{ \"ids\": true ,\"recode\": [ 1, 2, 3] }");
// read and precompile script
String script = conn.readScript(SCRIPT_DIR + TEST_DIR + testname + ".dml");
PreparedScript pstmt = conn.prepareScript(script, args, new String[] { "F1", "M" }, new String[] { "F2" }, false);
if (modelReuse)
pstmt.setFrame("F1", F1, true);
// execute script multiple times
for (int i = 0; i < nRuns; i++) {
// bind input parameters
if (!modelReuse)
pstmt.setFrame("F1", F1);
// execute script
ResultVariables rs = pstmt.executeScript();
// get output parameter
String[][] Y = rs.getFrame("F2");
// keep result for comparison
ret.add(Y);
}
} catch (Exception ex) {
ex.printStackTrace();
throw new IOException(ex);
} finally {
IOUtilFunctions.closeSilently(conn);
}
System.out.println("JMLC scoring w/ " + nRuns + " runs in " + time.stop() + "ms.");
return ret;
}
use of org.apache.sysml.api.jmlc.PreparedScript in project incubator-systemml by apache.
the class FrameLeftIndexingTest method execDMLScriptviaJMLC.
private static ArrayList<String[][]> execDMLScriptviaJMLC(String testname, String[][] F1, String[][] M, boolean modelReuse) throws IOException {
Timing time = new Timing(true);
ArrayList<String[][]> ret = new ArrayList<String[][]>();
// establish connection to SystemML
Connection conn = new Connection();
try {
// prepare input arguments
HashMap<String, String> args = new HashMap<String, String>();
args.put("$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;
}
use of org.apache.sysml.api.jmlc.PreparedScript in project incubator-systemml by apache.
the class InputToStringTest method testMatrixtoString.
@Test
public void testMatrixtoString() throws DMLException {
try (Connection conn = new Connection()) {
PreparedScript pscript = conn.prepareScript("m = read(\"tmp\", data_type=\"matrix\"); print(toString(m));", new String[] { "m" }, new String[] {});
pscript.setMatrix("m", MatrixBlock.randOperations(7, 3, 1.0, 0, 1, "uniform", 7), false);
pscript.executeScript();
}
}
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