Examples with MatrixContext com.tencent.angel.ml.matrix.MatrixContext used on opensource projects

Example 31 with MatrixContext

use of com.tencent.angel.ml.matrix.MatrixContext in project angel by Tencent.

the class IncrementRowHashTest method setup.

@Before
public void setup() throws Exception {
    // set basic configuration keys
    Configuration conf = new Configuration();
    conf.setBoolean("mapred.mapper.new-api", true);
    conf.setBoolean(AngelConf.ANGEL_JOB_OUTPUT_PATH_DELETEONEXIST, true);
    conf.set(AngelConf.ANGEL_TASK_USER_TASKCLASS, DummyTask.class.getName());
    // use local deploy mode and dummy dataspliter
    conf.set(AngelConf.ANGEL_DEPLOY_MODE, "LOCAL");
    conf.setBoolean(AngelConf.ANGEL_AM_USE_DUMMY_DATASPLITER, true);
    conf.set(AngelConf.ANGEL_INPUTFORMAT_CLASS, CombineTextInputFormat.class.getName());
    conf.set(AngelConf.ANGEL_SAVE_MODEL_PATH, LOCAL_FS + TMP_PATH + "/out");
    conf.set(AngelConf.ANGEL_TRAIN_DATA_PATH, LOCAL_FS + TMP_PATH + "/in");
    conf.set(AngelConf.ANGEL_LOG_PATH, LOCAL_FS + TMP_PATH + "/log");
    conf.setInt(AngelConf.ANGEL_WORKERGROUP_NUMBER, 1);
    conf.setInt(AngelConf.ANGEL_PS_NUMBER, 1);
    conf.setInt(AngelConf.ANGEL_WORKER_TASK_NUMBER, 1);
    conf.setInt(AngelConf.ANGEL_MODEL_PARTITIONER_PARTITION_SIZE, 1000);
    conf.setInt(AngelConf.ANGEL_PSAGENT_CACHE_SYNC_TIMEINTERVAL_MS, 10);
    conf.setInt(AngelConf.ANGEL_WORKER_HEARTBEAT_INTERVAL_MS, 1000);
    conf.setInt(AngelConf.ANGEL_PS_HEARTBEAT_INTERVAL_MS, 1000);
    conf.setBoolean("use.new.split", true);
    conf.setInt(AngelConf.ANGEL_WORKER_MAX_ATTEMPTS, 1);
    conf.setInt(AngelConf.ANGEL_PS_MAX_ATTEMPTS, 1);
    // get a angel client
    angelClient = AngelClientFactory.get(conf);
    // add sparse double matrix
    MatrixContext sMat = new MatrixContext();
    sMat.setName(SPARSE_DOUBLE_MAT);
    sMat.setRowNum(1);
    sMat.setPartitionNum(partNum);
    sMat.setPartitionerClass(HashPartitioner.class);
    sMat.setRowType(RowType.T_DOUBLE_SPARSE);
    angelClient.addMatrix(sMat);
    // add sparse float matrix
    MatrixContext sfMat = new MatrixContext();
    sfMat.setName(SPARSE_FLOAT_MAT);
    sfMat.setRowNum(1);
    sfMat.setPartitionNum(partNum);
    sfMat.setPartitionerClass(HashPartitioner.class);
    sfMat.setRowType(RowType.T_FLOAT_SPARSE);
    angelClient.addMatrix(sfMat);
    // add sparse float matrix
    MatrixContext siMat = new MatrixContext();
    siMat.setName(SPARSE_INT_MAT);
    siMat.setRowNum(1);
    siMat.setPartitionNum(partNum);
    siMat.setPartitionerClass(HashPartitioner.class);
    siMat.setRowType(RowType.T_INT_SPARSE);
    angelClient.addMatrix(siMat);
    // add sparse long matrix
    MatrixContext slMat = new MatrixContext();
    slMat.setName(SPARSE_LONG_MAT);
    slMat.setRowNum(1);
    slMat.setPartitionNum(partNum);
    slMat.setPartitionerClass(HashPartitioner.class);
    slMat.setRowType(RowType.T_LONG_SPARSE);
    angelClient.addMatrix(slMat);
    // add sparse long-key double matrix
    MatrixContext dLongKeysMatrix = new MatrixContext();
    dLongKeysMatrix.setName(SPARSE_DOUBLE_LONG_MAT);
    dLongKeysMatrix.setRowNum(1);
    dLongKeysMatrix.setPartitionNum(partNum);
    dLongKeysMatrix.setPartitionerClass(HashPartitioner.class);
    dLongKeysMatrix.setRowType(RowType.T_DOUBLE_SPARSE_LONGKEY);
    angelClient.addMatrix(dLongKeysMatrix);
    // add sparse long-key float matrix
    MatrixContext slfMatrix = new MatrixContext();
    slfMatrix.setName(SPARSE_FLOAT_LONG_MAT);
    slfMatrix.setRowNum(1);
    slfMatrix.setPartitionNum(partNum);
    slfMatrix.setPartitionerClass(HashPartitioner.class);
    slfMatrix.setRowType(RowType.T_FLOAT_SPARSE_LONGKEY);
    angelClient.addMatrix(slfMatrix);
    // add sparse long-key int matrix
    MatrixContext sliMatrix = new MatrixContext();
    sliMatrix.setName(SPARSE_INT_LONG_MAT);
    sliMatrix.setRowNum(1);
    sliMatrix.setPartitionNum(partNum);
    sliMatrix.setPartitionerClass(HashPartitioner.class);
    sliMatrix.setRowType(RowType.T_INT_SPARSE_LONGKEY);
    angelClient.addMatrix(sliMatrix);
    // add sparse long-key long matrix
    MatrixContext sllMatrix = new MatrixContext();
    sllMatrix.setName(SPARSE_LONG_LONG_MAT);
    sllMatrix.setRowNum(1);
    sllMatrix.setPartitionNum(partNum);
    sllMatrix.setPartitionerClass(HashPartitioner.class);
    sllMatrix.setRowType(RowType.T_LONG_SPARSE_LONGKEY);
    angelClient.addMatrix(sllMatrix);
    // Start PS
    angelClient.startPSServer();
    // Start to run application
    angelClient.run();
    Thread.sleep(5000);
    psId = new ParameterServerId(0);
    psAttempt0Id = new PSAttemptId(psId, 0);
    WorkerGroupId workerGroupId = new WorkerGroupId(0);
    workerId = new WorkerId(workerGroupId, 0);
    workerAttempt0Id = new WorkerAttemptId(workerId, 0);
}

Example 32 with MatrixContext

use of com.tencent.angel.ml.matrix.MatrixContext in project angel by Tencent.

the class IndexGetRowHashTest method setup.

@Before
public void setup() throws Exception {
    // set basic configuration keys
    Configuration conf = new Configuration();
    conf.setBoolean("mapred.mapper.new-api", true);
    conf.setBoolean(AngelConf.ANGEL_JOB_OUTPUT_PATH_DELETEONEXIST, true);
    conf.set(AngelConf.ANGEL_TASK_USER_TASKCLASS, DummyTask.class.getName());
    // use local deploy mode and dummy dataspliter
    conf.set(AngelConf.ANGEL_DEPLOY_MODE, "LOCAL");
    conf.setBoolean(AngelConf.ANGEL_AM_USE_DUMMY_DATASPLITER, true);
    conf.set(AngelConf.ANGEL_INPUTFORMAT_CLASS, CombineTextInputFormat.class.getName());
    conf.set(AngelConf.ANGEL_SAVE_MODEL_PATH, LOCAL_FS + TMP_PATH + "/out");
    conf.set(AngelConf.ANGEL_TRAIN_DATA_PATH, LOCAL_FS + TMP_PATH + "/in");
    conf.set(AngelConf.ANGEL_LOG_PATH, LOCAL_FS + TMP_PATH + "/log");
    conf.setInt(AngelConf.ANGEL_WORKERGROUP_NUMBER, 1);
    conf.setInt(AngelConf.ANGEL_PS_NUMBER, 1);
    conf.setInt(AngelConf.ANGEL_WORKER_TASK_NUMBER, 1);
    conf.setInt(AngelConf.ANGEL_MODEL_PARTITIONER_PARTITION_SIZE, 100000);
    conf.setInt(AngelConf.ANGEL_PSAGENT_CACHE_SYNC_TIMEINTERVAL_MS, 10);
    conf.setInt(AngelConf.ANGEL_WORKER_HEARTBEAT_INTERVAL_MS, 1000);
    conf.setInt(AngelConf.ANGEL_PS_HEARTBEAT_INTERVAL_MS, 1000);
    conf.setInt(AngelConf.ANGEL_WORKER_MAX_ATTEMPTS, 1);
    conf.setInt(AngelConf.ANGEL_PS_MAX_ATTEMPTS, 1);
    // get a angel client
    angelClient = AngelClientFactory.get(conf);
    // add sparse double matrix
    MatrixContext sMat = new MatrixContext();
    sMat.setName(SPARSE_DOUBLE_MAT);
    sMat.setRowNum(1);
    sMat.setRowType(RowType.T_DOUBLE_SPARSE);
    sMat.setPartitionNum(partNum);
    sMat.setPartitionerClass(HashPartitioner.class);
    angelClient.addMatrix(sMat);
    // add sparse float matrix
    MatrixContext sfMat = new MatrixContext();
    sfMat.setName(SPARSE_FLOAT_MAT);
    sfMat.setRowNum(1);
    sfMat.setRowType(RowType.T_FLOAT_SPARSE);
    sfMat.setValidIndexNum(modelSize);
    sfMat.setPartitionNum(partNum);
    sfMat.setPartitionerClass(HashPartitioner.class);
    angelClient.addMatrix(sfMat);
    // add sparse float matrix
    MatrixContext siMat = new MatrixContext();
    siMat.setName(SPARSE_INT_MAT);
    siMat.setRowNum(1);
    siMat.setRowType(RowType.T_INT_SPARSE);
    siMat.setValidIndexNum(modelSize);
    siMat.setPartitionNum(partNum);
    siMat.setPartitionerClass(HashPartitioner.class);
    angelClient.addMatrix(siMat);
    // add sparse long matrix
    MatrixContext slMat = new MatrixContext();
    slMat.setName(SPARSE_LONG_MAT);
    slMat.setRowNum(1);
    slMat.setRowType(RowType.T_LONG_SPARSE);
    slMat.setValidIndexNum(modelSize);
    slMat.setPartitionNum(partNum);
    slMat.setPartitionerClass(HashPartitioner.class);
    angelClient.addMatrix(slMat);
    // add sparse long-key float matrix
    MatrixContext sldMatrix = new MatrixContext();
    sldMatrix.setName(SPARSE_DOUBLE_LONG_MAT);
    sldMatrix.setRowNum(1);
    sldMatrix.setRowType(RowType.T_DOUBLE_SPARSE_LONGKEY);
    sldMatrix.setValidIndexNum(modelSize);
    sldMatrix.setPartitionNum(partNum);
    sldMatrix.setPartitionerClass(HashPartitioner.class);
    angelClient.addMatrix(sldMatrix);
    // add sparse long-key float matrix
    MatrixContext slfMatrix = new MatrixContext();
    slfMatrix.setName(SPARSE_FLOAT_LONG_MAT);
    slfMatrix.setRowNum(1);
    slfMatrix.setRowType(RowType.T_FLOAT_SPARSE_LONGKEY);
    slfMatrix.setValidIndexNum(modelSize);
    slfMatrix.setPartitionNum(partNum);
    slfMatrix.setPartitionerClass(HashPartitioner.class);
    angelClient.addMatrix(slfMatrix);
    // add sparse long-key int matrix
    MatrixContext sliMatrix = new MatrixContext();
    sliMatrix.setName(SPARSE_INT_LONG_MAT);
    sliMatrix.setRowNum(1);
    sliMatrix.setRowType(RowType.T_INT_SPARSE_LONGKEY);
    sliMatrix.setValidIndexNum(modelSize);
    sliMatrix.setPartitionNum(partNum);
    sliMatrix.setPartitionerClass(HashPartitioner.class);
    angelClient.addMatrix(sliMatrix);
    // add sparse long-key long matrix
    MatrixContext sllMatrix = new MatrixContext();
    sllMatrix.setName(SPARSE_LONG_LONG_MAT);
    sllMatrix.setRowNum(1);
    sllMatrix.setRowType(RowType.T_LONG_SPARSE_LONGKEY);
    sllMatrix.setValidIndexNum(modelSize);
    sllMatrix.setPartitionNum(partNum);
    sllMatrix.setPartitionerClass(HashPartitioner.class);
    angelClient.addMatrix(sllMatrix);
    // Start PS
    angelClient.startPSServer();
    // Start to run application
    angelClient.run();
    Thread.sleep(5000);
    psId = new ParameterServerId(0);
    psAttempt0Id = new PSAttemptId(psId, 0);
    WorkerGroupId workerGroupId = new WorkerGroupId(0);
    workerId = new WorkerId(workerGroupId, 0);
    workerAttempt0Id = new WorkerAttemptId(workerId, 0);
}

Example 33 with MatrixContext

use of com.tencent.angel.ml.matrix.MatrixContext in project angel by Tencent.

the class SparseDoubleSubmit method submit.

@Override
public void submit(Configuration conf) throws Exception {
    conf.setBoolean(AngelConf.ANGEL_AM_USE_DUMMY_DATASPLITER, true);
    AngelClient angelClient = AngelClientFactory.get(conf);
    int blockCol = conf.getInt("blockcol", 5000000);
    MatrixContext context = new MatrixContext("sparse_double_test", 1, 2100000000, 1, blockCol);
    context.setRowType(RowType.T_DOUBLE_SPARSE);
    angelClient.addMatrix(context);
    angelClient.startPSServer();
    angelClient.run();
    angelClient.waitForCompletion();
    angelClient.stop(0);
}

Example 34 with MatrixContext

use of com.tencent.angel.ml.matrix.MatrixContext in project angel by Tencent.

the class RangePartitioner method main.

public static void main(String[] args) {
    MatrixContext matrix1 = new MatrixContext();
    matrix1.setRowNum(1);
    matrix1.setColNum(-1);
    matrix1.setMaxRowNumInBlock(1);
    matrix1.setMaxColNumInBlock(-1);
    matrix1.setValidIndexNum(252830411);
    matrix1.setRowType(RowType.T_FLOAT_SPARSE_LONGKEY);
    matrix1.setName("w1");
    matrix1.setIndexStart(Long.MIN_VALUE);
    matrix1.setIndexEnd(Long.MAX_VALUE);
    Configuration conf = new Configuration();
    RangePartitioner partitioner = new RangePartitioner();
    // partitioner.init(matrix1, conf);
    partitioner.getPartitions();
}

Example 35 with MatrixContext

use of com.tencent.angel.ml.matrix.MatrixContext in project angel by Tencent.

the class ModelContextUtils method createMatrixContext.

public static MatrixContext createMatrixContext(ModelContext context, String name, RowType rowType, Class<? extends IElement> elemClass, int rowNum) {
    if (rowType.isComplexValue() && elemClass == null) {
        throw new InvalidParameterException("Complex value type must set element class type");
    }
    MatrixContext mc = new MatrixContext();
    mc.setName(name);
    mc.setRowNum(rowNum);
    mc.setRowType(rowType);
    mc.setPartitionNum(context.getPartitionNum());
    mc.setValidIndexNum(context.getNodeNum());
    if (elemClass != null) {
        mc.setValueType(elemClass);
    }
    if (context.isUseHashPartition()) {
        mc.setPartitionerClass(HashPartitioner.class);
    } else {
        mc.setIndexStart(context.getMinNodeId());
        mc.setIndexEnd(context.getMaxNodeId());
        mc.setPartitionerClass(ColumnRangePartitioner.class);
        if (context.getPartitionNum() > 0) {
            mc.setMaxRowNumInBlock(1);
            mc.setMaxColNumInBlock((context.getMaxNodeId() - context.getMinNodeId()) / context.getPartitionNum());
        }
    }
    return mc;
}