Examples with MatrixClient com.tencent.angel.psagent.matrix.MatrixClient used on opensource projects

Example 21 with MatrixClient

use of com.tencent.angel.psagent.matrix.MatrixClient in project angel by Tencent.

the class UpdateRowsHashTest method testDenseIntUDF.

public void testDenseIntUDF() throws Exception {
    Worker worker = LocalClusterContext.get().getWorker(workerAttempt0Id).getWorker();
    MatrixClient client1 = worker.getPSAgent().getMatrixClient(DENSE_INT_MAT, 0);
    int matrixW1Id = client1.getMatrixId();
    int[] index = genIndexs(feaNum, nnz);
    IntIntVector deltaVec = null;
    for (int rowId = 0; rowId < rowNum; rowId++) {
        deltaVec = new IntIntVector(feaNum, new IntIntDenseVectorStorage(feaNum));
        for (int i = 0; i < feaNum; i++) deltaVec.set(i, i);
        client1.update(rowId, deltaVec);
    }
    int[] rowIds = new int[rowNum];
    for (int i = 0; i < rowNum; i++) {
        rowIds[i] = i;
    }
    Vector[] rows = client1.get(rowIds, index);
    for (int i = 0; i < rowNum; i++) {
        for (int id : index) {
            Assert.assertEquals(((IntIntVector) rows[i]).get(id), deltaVec.get(id), zero);
        }
    }
    client1.zero();
    IntIntVector[] deltaVecs = new IntIntVector[rowNum];
    for (int rowId = 0; rowId < rowNum; rowId++) {
        deltaVec = VFactory.sparseIntVector(feaNum, index.length);
        for (int i = 0; i < index.length; i++) {
            deltaVec.set(index[i], index[i]);
        }
        deltaVecs[rowId] = deltaVec;
    }
    client1.update(rowIds, deltaVecs);
    rows = client1.get(rowIds, index);
    for (int i = 0; i < rowNum; i++) {
        for (int id : index) {
            Assert.assertEquals(((IntIntVector) rows[i]).get(id), deltaVecs[i].get(id), zero);
        }
    }
    client1.zero();
    for (int rowId = 0; rowId < rowNum; rowId++) {
        deltaVec = VFactory.sparseIntVector(feaNum, index.length);
        for (int i = 0; i < index.length; i++) {
            deltaVec.set(index[i], index[i]);
        }
        deltaVecs[rowId] = deltaVec;
    }
    client1.increment(rowIds, deltaVecs, true);
    rows = client1.get(rowIds, index);
    for (int i = 0; i < rowNum; i++) {
        for (int id : index) {
            Assert.assertEquals(((IntIntVector) rows[i]).get(id), deltaVecs[i].get(id), zero);
        }
    }
}

Example 22 with MatrixClient

use of com.tencent.angel.psagent.matrix.MatrixClient in project angel by Tencent.

the class UpdateRowsHashTest method testDenseLongUDF.

public void testDenseLongUDF() throws Exception {
    Worker worker = LocalClusterContext.get().getWorker(workerAttempt0Id).getWorker();
    MatrixClient client1 = worker.getPSAgent().getMatrixClient(DENSE_LONG_MAT, 0);
    int matrixW1Id = client1.getMatrixId();
    int[] index = genIndexs(feaNum, nnz);
    IntLongVector deltaVec = null;
    for (int rowId = 0; rowId < rowNum; rowId++) {
        deltaVec = new IntLongVector(feaNum, new IntLongDenseVectorStorage(feaNum));
        for (int i = 0; i < feaNum; i++) deltaVec.set(i, i);
        client1.update(rowId, deltaVec);
    }
    int[] rowIds = new int[rowNum];
    for (int i = 0; i < rowNum; i++) {
        rowIds[i] = i;
    }
    Vector[] rows = client1.get(rowIds, index);
    for (int i = 0; i < rowNum; i++) {
        for (int id : index) {
            Assert.assertEquals(((IntLongVector) rows[i]).get(id), deltaVec.get(id), zero);
        }
    }
    client1.zero();
    IntLongVector[] deltaVecs = new IntLongVector[rowNum];
    for (int rowId = 0; rowId < rowNum; rowId++) {
        deltaVec = VFactory.sparseLongVector(feaNum, index.length);
        for (int i = 0; i < index.length; i++) {
            deltaVec.set(index[i], index[i]);
        }
        deltaVecs[rowId] = deltaVec;
    }
    client1.update(rowIds, deltaVecs);
    rows = client1.get(rowIds, index);
    for (int i = 0; i < rowNum; i++) {
        for (int id : index) {
            Assert.assertEquals(((IntLongVector) rows[i]).get(id), deltaVecs[i].get(id), zero);
        }
    }
    client1.zero();
    for (int rowId = 0; rowId < rowNum; rowId++) {
        deltaVec = VFactory.sparseLongVector(feaNum, index.length);
        for (int i = 0; i < index.length; i++) {
            deltaVec.set(index[i], index[i]);
        }
        deltaVecs[rowId] = deltaVec;
    }
    client1.increment(rowIds, deltaVecs, true);
    rows = client1.get(rowIds, index);
    for (int i = 0; i < rowNum; i++) {
        for (int id : index) {
            Assert.assertEquals(((IntLongVector) rows[i]).get(id), deltaVecs[i].get(id), zero);
        }
    }
}

Example 23 with MatrixClient

use of com.tencent.angel.psagent.matrix.MatrixClient in project angel by Tencent.

the class UpdateRowsHashTest method testDenseDoubleUDF.

public void testDenseDoubleUDF() throws Exception {
    Worker worker = LocalClusterContext.get().getWorker(workerAttempt0Id).getWorker();
    MatrixClient client1 = worker.getPSAgent().getMatrixClient(DENSE_DOUBLE_MAT, 0);
    int[] index = genIndexs(feaNum, nnz);
    IntDoubleVector deltaVec = null;
    for (int rowId = 0; rowId < rowNum; rowId++) {
        deltaVec = new IntDoubleVector(feaNum, new IntDoubleDenseVectorStorage(feaNum));
        for (int i = 0; i < feaNum; i++) deltaVec.set(i, i);
        client1.update(rowId, deltaVec);
    }
    int[] rowIds = new int[rowNum];
    for (int i = 0; i < rowNum; i++) {
        rowIds[i] = i;
    }
    Vector[] rows = client1.get(rowIds, index);
    for (int i = 0; i < rowNum; i++) {
        for (int id : index) {
            Assert.assertEquals(((IntDoubleVector) rows[i]).get(id), deltaVec.get(id), zero);
        }
    }
    client1.zero();
    IntDoubleVector[] deltaVecs = new IntDoubleVector[rowNum];
    for (int rowId = 0; rowId < rowNum; rowId++) {
        deltaVec = new IntDoubleVector(feaNum, new IntDoubleSparseVectorStorage(feaNum));
        for (int i = 0; i < index.length; i++) {
            deltaVec.set(index[i], index[i]);
        }
        deltaVecs[rowId] = deltaVec;
    }
    client1.update(rowIds, deltaVecs);
    rows = client1.get(rowIds, index);
    for (int i = 0; i < rowNum; i++) {
        for (int id : index) {
            Assert.assertEquals(((IntDoubleVector) rows[i]).get(id), deltaVecs[i].get(id), zero);
        }
    }
    client1.zero();
    for (int rowId = 0; rowId < rowNum; rowId++) {
        deltaVec = new IntDoubleVector(feaNum, new IntDoubleSparseVectorStorage(feaNum));
        for (int i = 0; i < index.length; i++) {
            deltaVec.set(index[i], index[i]);
        }
        deltaVecs[rowId] = deltaVec;
    }
    client1.increment(rowIds, deltaVecs, true);
    rows = client1.get(rowIds, index);
    for (int i = 0; i < rowNum; i++) {
        for (int id : index) {
            Assert.assertEquals(((IntDoubleVector) rows[i]).get(id), deltaVecs[i].get(id), zero);
        }
    }
}

Example 24 with MatrixClient

use of com.tencent.angel.psagent.matrix.MatrixClient in project angel by Tencent.

the class UpdateRowsHashTest method testSparseFloatUDF.

public void testSparseFloatUDF() throws Exception {
    Worker worker = LocalClusterContext.get().getWorker(workerAttempt0Id).getWorker();
    MatrixClient client1 = worker.getPSAgent().getMatrixClient(SPARSE_FLOAT_MAT, 0);
    int[] index = genIndexs(feaNum, nnz);
    IntFloatVector deltaVec = null;
    for (int rowId = 0; rowId < rowNum; rowId++) {
        deltaVec = new IntFloatVector(feaNum, new IntFloatSparseVectorStorage(feaNum));
        for (int i = 0; i < index.length; i++) {
            deltaVec.set(index[i], index[i]);
        }
        client1.update(rowId, deltaVec);
    }
    int[] rowIds = new int[rowNum];
    for (int i = 0; i < rowNum; i++) {
        rowIds[i] = i;
    }
    Vector[] rows = client1.get(rowIds, index);
    for (int i = 0; i < rowNum; i++) {
        for (int id : index) {
            Assert.assertEquals(((IntFloatVector) rows[i]).get(id), deltaVec.get(id), zero);
        }
        Assert.assertTrue(index.length == ((IntFloatVector) rows[i]).size());
    }
    client1.zero();
    IntFloatVector[] deltaVecs = new IntFloatVector[rowNum];
    for (int rowId = 0; rowId < rowNum; rowId++) {
        deltaVec = VFactory.sparseFloatVector(feaNum, index.length);
        for (int i = 0; i < index.length; i++) {
            deltaVec.set(index[i], index[i]);
        }
        deltaVecs[rowId] = deltaVec;
    }
    client1.update(rowIds, deltaVecs);
    rows = client1.get(rowIds, index);
    for (int i = 0; i < rowNum; i++) {
        for (int id : index) {
            Assert.assertEquals(((IntFloatVector) rows[i]).get(id), deltaVecs[i].get(id), zero);
        }
    }
    client1.zero();
    for (int rowId = 0; rowId < rowNum; rowId++) {
        deltaVec = VFactory.sparseFloatVector(feaNum, index.length);
        for (int i = 0; i < index.length; i++) {
            deltaVec.set(index[i], index[i]);
        }
        deltaVecs[rowId] = deltaVec;
    }
    client1.increment(rowIds, deltaVecs, true);
    rows = client1.get(rowIds, index);
    for (int i = 0; i < rowNum; i++) {
        for (int id : index) {
            Assert.assertEquals(((IntFloatVector) rows[i]).get(id), deltaVecs[i].get(id), zero);
        }
    }
}

Example 25 with MatrixClient

use of com.tencent.angel.psagent.matrix.MatrixClient in project angel by Tencent.

the class UpdateRowsHashTest method testSparseDoubleUDF.

public void testSparseDoubleUDF() throws Exception {
    Worker worker = LocalClusterContext.get().getWorker(workerAttempt0Id).getWorker();
    MatrixClient client1 = worker.getPSAgent().getMatrixClient(SPARSE_DOUBLE_MAT, 0);
    int[] index = genIndexs(feaNum, nnz);
    IntDoubleVector deltaVec = null;
    for (int rowId = 0; rowId < rowNum; rowId++) {
        deltaVec = new IntDoubleVector(feaNum, new IntDoubleSparseVectorStorage(feaNum));
        for (int i = 0; i < index.length; i++) {
            deltaVec.set(index[i], index[i]);
        }
        client1.update(rowId, deltaVec);
    }
    int[] rowIds = new int[rowNum];
    for (int i = 0; i < rowNum; i++) {
        rowIds[i] = i;
    }
    Vector[] rows = client1.get(rowIds, index);
    for (int i = 0; i < rowNum; i++) {
        for (int id : index) {
            Assert.assertEquals(((IntDoubleVector) rows[i]).get(id), deltaVec.get(id), zero);
        }
    }
    client1.zero();
    IntDoubleVector[] deltaVecs = new IntDoubleVector[rowNum];
    for (int rowId = 0; rowId < rowNum; rowId++) {
        deltaVec = VFactory.sparseDoubleVector(feaNum, index.length);
        for (int i = 0; i < index.length; i++) {
            deltaVec.set(index[i], index[i]);
        }
        deltaVecs[rowId] = deltaVec;
    }
    client1.update(rowIds, deltaVecs);
    rows = client1.get(rowIds, index);
    for (int i = 0; i < rowNum; i++) {
        for (int id : index) {
            Assert.assertEquals(((IntDoubleVector) rows[i]).get(id), deltaVecs[i].get(id), zero);
        }
    }
    client1.zero();
    for (int rowId = 0; rowId < rowNum; rowId++) {
        deltaVec = new IntDoubleVector(feaNum, new IntDoubleSparseVectorStorage(feaNum));
        for (int i = 0; i < index.length; i++) {
            deltaVec.set(index[i], index[i]);
        }
        deltaVecs[rowId] = deltaVec;
    }
    client1.increment(rowIds, deltaVecs, true);
    rows = client1.get(rowIds, index);
    for (int i = 0; i < rowNum; i++) {
        for (int id : index) {
            Assert.assertEquals(((IntDoubleVector) rows[i]).get(id), deltaVecs[i].get(id), zero);
        }
    }
}