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

Example 46 with MatrixContext

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

the class GetNodeFeatsTest2 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, "file:///F:\\test\\model_1");
    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.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 float matrix
    MatrixContext siMat = new MatrixContext();
    siMat.setName(NODE);
    siMat.setRowType(RowType.T_ANY_LONGKEY_SPARSE);
    siMat.setRowNum(1);
    siMat.setColNum(10);
    siMat.setMaxColNumInBlock(5);
    siMat.setMaxRowNumInBlock(1);
    // siMat.setValidIndexNum(100);
    // siMat.setColNum(10000000000L);
    siMat.setValueType(Node.class);
    // siMat.setPartitionStorageClass(LongElementMapStorage.class);
    // siMat.setPartitionClass(CSRPartition.class);
    angelClient.addMatrix(siMat);
    // 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 47 with MatrixContext

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

the class IndexGetFuncTest 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, 2);
    // get a angel client
    angelClient = AngelClientFactory.get(conf);
    // add dense double matrix
    MatrixContext dMat = new MatrixContext();
    dMat.setName(DENSE_DOUBLE_MAT);
    dMat.setRowNum(1);
    dMat.setColNum(feaNum);
    dMat.setMaxColNumInBlock(feaNum / 3);
    dMat.setRowType(RowType.T_DOUBLE_DENSE);
    angelClient.addMatrix(dMat);
    // add sparse double matrix
    MatrixContext sMat = new MatrixContext();
    sMat.setName(SPARSE_DOUBLE_MAT);
    sMat.setRowNum(1);
    sMat.setColNum(feaNum);
    sMat.setMaxColNumInBlock(feaNum / 3);
    sMat.setRowType(RowType.T_DOUBLE_SPARSE);
    angelClient.addMatrix(sMat);
    // add component sparse double matrix
    MatrixContext sCompMat = new MatrixContext();
    sCompMat.setName(SPARSE_DOUBLE_MAT_COMP);
    sCompMat.setRowNum(1);
    sCompMat.setColNum(feaNum);
    sCompMat.setMaxColNumInBlock(feaNum / 3);
    sCompMat.setRowType(RowType.T_DOUBLE_SPARSE_COMPONENT);
    angelClient.addMatrix(sCompMat);
    // add sparse long-key double matrix
    MatrixContext dLongKeysMatrix = new MatrixContext();
    dLongKeysMatrix.setName(SPARSE_DOUBLE_LONG_MAT);
    dLongKeysMatrix.setRowNum(1);
    dLongKeysMatrix.setColNum(feaNum);
    dLongKeysMatrix.setMaxColNumInBlock(feaNum / 3);
    dLongKeysMatrix.setRowType(RowType.T_DOUBLE_SPARSE_LONGKEY);
    angelClient.addMatrix(dLongKeysMatrix);
    // add component long-key sparse double matrix
    MatrixContext dLongKeysCompMatrix = new MatrixContext();
    dLongKeysCompMatrix.setName(SPARSE_DOUBLE_LONG_MAT_COMP);
    dLongKeysCompMatrix.setRowNum(1);
    dLongKeysCompMatrix.setColNum(feaNum);
    dLongKeysCompMatrix.setMaxColNumInBlock(feaNum / 3);
    dLongKeysCompMatrix.setRowType(RowType.T_DOUBLE_SPARSE_LONGKEY_COMPONENT);
    angelClient.addMatrix(dLongKeysCompMatrix);
    // add dense float matrix
    MatrixContext dfMat = new MatrixContext();
    dfMat.setName(DENSE_FLOAT_MAT);
    dfMat.setRowNum(1);
    dfMat.setColNum(feaNum);
    dfMat.setMaxColNumInBlock(feaNum / 3);
    dfMat.setRowType(RowType.T_FLOAT_DENSE);
    angelClient.addMatrix(dfMat);
    // add sparse float matrix
    MatrixContext sfMat = new MatrixContext();
    sfMat.setName(SPARSE_FLOAT_MAT);
    sfMat.setRowNum(1);
    sfMat.setColNum(feaNum);
    sfMat.setMaxColNumInBlock(feaNum / 3);
    sfMat.setRowType(RowType.T_FLOAT_SPARSE);
    angelClient.addMatrix(sfMat);
    // add component sparse float matrix
    MatrixContext sfCompMat = new MatrixContext();
    sfCompMat.setName(SPARSE_FLOAT_MAT_COMP);
    sfCompMat.setRowNum(1);
    sfCompMat.setColNum(feaNum);
    sfCompMat.setMaxColNumInBlock(feaNum / 3);
    sfCompMat.setRowType(RowType.T_FLOAT_SPARSE_COMPONENT);
    angelClient.addMatrix(sfCompMat);
    // add dense float matrix
    MatrixContext diMat = new MatrixContext();
    diMat.setName(DENSE_INT_MAT);
    diMat.setRowNum(1);
    diMat.setColNum(feaNum);
    diMat.setMaxColNumInBlock(feaNum / 3);
    diMat.setRowType(RowType.T_INT_DENSE);
    angelClient.addMatrix(diMat);
    // add sparse float matrix
    MatrixContext siMat = new MatrixContext();
    siMat.setName(SPARSE_INT_MAT);
    siMat.setRowNum(1);
    siMat.setColNum(feaNum);
    siMat.setMaxColNumInBlock(feaNum / 3);
    siMat.setRowType(RowType.T_INT_SPARSE);
    angelClient.addMatrix(siMat);
    // add component sparse float matrix
    MatrixContext siCompMat = new MatrixContext();
    siCompMat.setName(SPARSE_INT_MAT_COMP);
    siCompMat.setRowNum(1);
    siCompMat.setColNum(feaNum);
    siCompMat.setMaxColNumInBlock(feaNum / 3);
    siCompMat.setRowType(RowType.T_INT_SPARSE_COMPONENT);
    angelClient.addMatrix(siCompMat);
    // 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 48 with MatrixContext

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

the class ServerPartitionTest method testWriteTo.

@Test
public void testWriteTo() throws Exception {
    // set basic configuration keys
    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, 2);
    // get a angel client
    angelClient = AngelClientFactory.get(conf);
    // add matrix
    MatrixContext mMatrix = new MatrixContext();
    mMatrix.setName("w1");
    mMatrix.setRowNum(1);
    mMatrix.setColNum(100000);
    mMatrix.setMaxRowNumInBlock(1);
    mMatrix.setMaxColNumInBlock(50000);
    mMatrix.setRowType(RowType.T_INT_DENSE);
    mMatrix.set(MatrixConf.MATRIX_OPLOG_ENABLEFILTER, "false");
    mMatrix.set(MatrixConf.MATRIX_HOGWILD, "true");
    mMatrix.set(MatrixConf.MATRIX_AVERAGE, "false");
    mMatrix.set(MatrixConf.MATRIX_OPLOG_TYPE, "DENSE_INT");
    angelClient.addMatrix(mMatrix);
    angelClient.startPSServer();
    angelClient.runTask(DummyTask.class);
    Thread.sleep(5000);
    group0Id = new WorkerGroupId(0);
    worker0Id = new WorkerId(group0Id, 0);
    worker0Attempt0Id = new WorkerAttemptId(worker0Id, 0);
    task0Id = new TaskId(0);
    task1Id = new TaskId(1);
    psId = new ParameterServerId(0);
    psAttempt0Id = new PSAttemptId(psId, 0);
    DataOutputStream out = new DataOutputStream(new FileOutputStream("data"));
    ByteBuf buf = Unpooled.buffer(16);
    buf.writeDouble(0.00);
    buf.writeDouble(1.00);
    buf.writeDouble(-1.00);
    buf.writeDouble(-2.00);
    buf.writeDouble(-5.00);
    buf.writeDouble(-6.00);
    buf.writeDouble(-7.00);
    buf.writeDouble(-8.00);
    serverPartition.getRow(6).update(RowType.T_DOUBLE_DENSE, buf, 8);
    serverPartition.save(out);
    out.close();
    DataInputStream in = new DataInputStream(new FileInputStream("data"));
    PartitionKey partitionKeyNew = new PartitionKey(2, 1, 1, 2, 8, 10);
    ServerPartition serverPartitionNew = new ServerPartition(partitionKeyNew, RowType.T_DOUBLE_DENSE);
    serverPartitionNew.init();
    assertNotEquals(((ServerDenseDoubleRow) serverPartition.getRow(6)).getData(), ((ServerDenseDoubleRow) serverPartitionNew.getRow(6)).getData());
    serverPartitionNew.load(in);
    in.close();
    assertEquals(((ServerDenseDoubleRow) serverPartition.getRow(6)).getData(), ((ServerDenseDoubleRow) serverPartitionNew.getRow(6)).getData());
    angelClient.stop();
}

Example 49 with MatrixContext

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

the class MatrixOpLogTest 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, 2);
    // get a angel client
    angelClient = AngelClientFactory.get(conf);
    // add matrix
    MatrixContext mMatrix = new MatrixContext();
    mMatrix.setName("w1");
    mMatrix.setRowNum(100);
    mMatrix.setColNum(100000);
    mMatrix.setMaxRowNumInBlock(10);
    mMatrix.setMaxColNumInBlock(50000);
    mMatrix.setRowType(RowType.T_INT_DENSE);
    mMatrix.set(MatrixConf.MATRIX_OPLOG_ENABLEFILTER, "false");
    mMatrix.set(MatrixConf.MATRIX_HOGWILD, "true");
    mMatrix.set(MatrixConf.MATRIX_AVERAGE, "false");
    mMatrix.set(MatrixConf.MATRIX_OPLOG_TYPE, "DENSE_INT");
    angelClient.addMatrix(mMatrix);
    angelClient.startPSServer();
    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 50 with MatrixContext

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

the class GetValueOfIndexSubmmiter method submit.

@Override
public void submit(Configuration conf) throws Exception {
    AngelClient client = AngelClientFactory.get(conf);
    int feaNum = conf.getInt(MLConf.ML_FEATURE_NUM(), MLConf.DEFAULT_ML_FEATURE_NUM());
    MatrixContext dMat = new MatrixContext(DENSE_DOUBLE_MAT, 1, feaNum, -1, -1);
    dMat.setRowType(RowType.T_DOUBLE_DENSE);
    dMat.set(MatrixConf.MATRIX_AVERAGE, "true");
    MatrixContext sMat = new MatrixContext(SPARSE_DOUBLE_MAT, 1, feaNum, -1, -1);
    sMat.setRowType(RowType.T_DOUBLE_SPARSE);
    sMat.set(MatrixConf.MATRIX_AVERAGE, "true");
    MatrixContext lMat = new MatrixContext(LONG_SPARSE_DOUBLE_MAT, 1, feaNum, -1, -1);
    lMat.setRowType(RowType.T_DOUBLE_SPARSE_LONGKEY);
    lMat.set(MatrixConf.MATRIX_AVERAGE, "true");
    client.addMatrix(dMat);
    client.addMatrix(sMat);
    client.addMatrix(lMat);
    client.startPSServer();
    client.run();
    client.waitForCompletion();
    client.stop(0);
}