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);
}
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);
}
use of com.tencent.angel.ml.matrix.MatrixContext in project angel by Tencent.
the class AlgoMetricsTest method setup.
@Before
public void setup() throws Exception {
try {
// set basic configuration keys
Configuration conf = new Configuration();
conf.setBoolean("mapred.mapper.new-api", true);
conf.setBoolean(AngelConf.ANGEL_JOB_OUTPUT_PATH_DELETEONEXIST, true);
// 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(MetricTestTask.class);
Thread.sleep(5000);
task0Id = new TaskId(0);
task1Id = new TaskId(1);
} catch (Exception x) {
LOG.error("setup failed ", x);
throw x;
}
}
use of com.tencent.angel.ml.matrix.MatrixContext in project angel by Tencent.
the class AppTest method setup.
@Before
public void setup() throws Exception {
try {
// 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(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);
task0Id = new TaskId(0);
task1Id = new TaskId(1);
} catch (Exception x) {
LOG.error("setup failed ", x);
throw x;
}
}
use of com.tencent.angel.ml.matrix.MatrixContext in project angel by Tencent.
the class MasterRecoverTest method setup.
@Before
public void setup() throws Exception {
try {
// 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(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);
MatrixContext mMatrix2 = new MatrixContext();
mMatrix2.setName("w2");
mMatrix2.setRowNum(1);
mMatrix2.setColNum(100000);
mMatrix2.setMaxRowNumInBlock(1);
mMatrix2.setMaxColNumInBlock(50000);
mMatrix2.setRowType(RowType.T_DOUBLE_DENSE);
mMatrix2.set(MatrixConf.MATRIX_OPLOG_ENABLEFILTER, "false");
mMatrix2.set(MatrixConf.MATRIX_HOGWILD, "false");
mMatrix2.set(MatrixConf.MATRIX_AVERAGE, "false");
mMatrix2.set(MatrixConf.MATRIX_OPLOG_TYPE, "DENSE_DOUBLE");
angelClient.addMatrix(mMatrix2);
angelClient.startPSServer();
angelClient.run();
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);
} catch (Exception x) {
LOG.error("setup failed ", x);
throw x;
}
}
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