Examples with IntFloatVector com.tencent.angel.ml.math2.vector.IntFloatVector used on opensource projects

Example 71 with IntFloatVector

use of com.tencent.angel.ml.math2.vector.IntFloatVector in project angel by Tencent.

the class HashRouterUtils method split.

/**
 * Split keys by matrix partition
 *
 * @param matrixMeta matrix meta data
 * @param vector Matrix vector
 * @return partition key to key partition map
 */
public static KeyValuePart[] split(MatrixMeta matrixMeta, Vector vector) {
    KeyHash hasher = HasherFactory.getHasher(matrixMeta.getRouterHash());
    PartitionKey[] matrixParts = matrixMeta.getPartitionKeys();
    KeyValuePart[] dataParts = new KeyValuePart[matrixParts.length];
    int estSize = (int) (vector.getSize() / matrixMeta.getPartitionNum());
    for (int i = 0; i < dataParts.length; i++) {
        dataParts[i] = generateDataPart(vector.getRowId(), vector.getType(), estSize);
    }
    switch(vector.getType()) {
        case T_DOUBLE_DENSE:
        case T_DOUBLE_SPARSE:
            {
                splitIntDoubleVector(hasher, matrixMeta, (IntDoubleVector) vector, dataParts);
                break;
            }
        case T_FLOAT_DENSE:
        case T_FLOAT_SPARSE:
            {
                splitIntFloatVector(hasher, matrixMeta, (IntFloatVector) vector, dataParts);
                break;
            }
        case T_INT_DENSE:
        case T_INT_SPARSE:
            {
                splitIntIntVector(hasher, matrixMeta, (IntIntVector) vector, dataParts);
                break;
            }
        case T_LONG_DENSE:
        case T_LONG_SPARSE:
            {
                splitIntLongVector(hasher, matrixMeta, (IntLongVector) vector, dataParts);
                break;
            }
        case T_DOUBLE_SPARSE_LONGKEY:
            {
                splitLongDoubleVector(hasher, matrixMeta, (LongDoubleVector) vector, dataParts);
                break;
            }
        case T_FLOAT_SPARSE_LONGKEY:
            {
                splitLongFloatVector(hasher, matrixMeta, (LongFloatVector) vector, dataParts);
                break;
            }
        case T_INT_SPARSE_LONGKEY:
            {
                splitLongIntVector(hasher, matrixMeta, (LongIntVector) vector, dataParts);
                break;
            }
        case T_LONG_SPARSE_LONGKEY:
            {
                splitLongLongVector(hasher, matrixMeta, (LongLongVector) vector, dataParts);
                break;
            }
        default:
            {
                throw new UnsupportedOperationException("Unsupport vector type " + vector.getType());
            }
    }
    for (int i = 0; i < dataParts.length; i++) {
        if (dataParts[i] != null) {
            dataParts[i].setRowId(vector.getRowId());
        }
    }
    return dataParts;
}

Example 72 with IntFloatVector

use of com.tencent.angel.ml.math2.vector.IntFloatVector in project angel by Tencent.

the class RangeRouterUtils method splitIntFloatVector.

public static KeyValuePart[] splitIntFloatVector(MatrixMeta matrixMeta, IntFloatVector vector) {
    IntFloatVectorStorage storage = vector.getStorage();
    if (storage.isSparse()) {
        // Get keys and values
        IntFloatSparseVectorStorage sparseStorage = (IntFloatSparseVectorStorage) storage;
        int[] keys = sparseStorage.getIndices();
        float[] values = sparseStorage.getValues();
        return split(matrixMeta, vector.getRowId(), keys, values, false);
    } else if (storage.isDense()) {
        // Get values
        IntFloatDenseVectorStorage denseStorage = (IntFloatDenseVectorStorage) storage;
        float[] values = denseStorage.getValues();
        return split(matrixMeta, vector.getRowId(), values);
    } else {
        // Key and value array pair
        IntFloatSortedVectorStorage sortStorage = (IntFloatSortedVectorStorage) storage;
        int[] keys = sortStorage.getIndices();
        float[] values = sortStorage.getValues();
        return split(matrixMeta, vector.getRowId(), keys, values, true);
    }
}

Example 73 with IntFloatVector

use of com.tencent.angel.ml.math2.vector.IntFloatVector in project angel by Tencent.

the class PytorchPSFTask method run.

@Override
public void run(TaskContext taskContext) throws AngelException {
    int feaNum = taskContext.getConf().getInt("col", 100000000);
    int batchNNZ = taskContext.getConf().getInt("batch.nnz", 10000);
    int updateTime = 0;
    long startTs = System.currentTimeMillis();
    try {
        while (true) {
            int[] indices = genIndexs(feaNum, batchNNZ);
            IntFloatVector deltaVec = VFactory.sparseFloatVector(feaNum, batchNNZ);
            for (int i = 0; i < indices.length; i++) {
                deltaVec.set(indices[i], 1);
            }
            Vector[] updates = new Vector[1];
            updates[0] = deltaVec;
            MatrixClient client = taskContext.getMatrix("psf_test");
            client.asyncUpdate(new IncrementRows(new IncrementRowsParam(client.getMatrixId(), updates))).get();
            updateTime++;
            if (updateTime % 100 == 0) {
                LOG.info("update num = " + updateTime + ", avg update time=" + (System.currentTimeMillis() - startTs) / updateTime);
            }
        }
    } catch (Throwable ie) {
    }
}

Example 74 with IntFloatVector

use of com.tencent.angel.ml.math2.vector.IntFloatVector in project angel by Tencent.

the class InitNodeFeats method partitionUpdate.

@Override
public void partitionUpdate(PartitionUpdateParam partParam) {
    InitNodeFeatsPartParam param = (InitNodeFeatsPartParam) partParam;
    ServerLongAnyRow row = (ServerLongAnyRow) psContext.getMatrixStorageManager().getRow(param.getPartKey(), 0);
    long[] nodeIds = param.getNodeIds();
    IntFloatVector[] feats = param.getFeats();
    row.startWrite();
    try {
        for (int i = 0; i < nodeIds.length; i++) {
            Node node = (Node) row.get(nodeIds[i]);
            if (node == null) {
                node = new Node();
                row.set(nodeIds[i], node);
            }
            node.setFeats(feats[i]);
        }
    } finally {
        row.endWrite();
    }
}

Example 75 with IntFloatVector

use of com.tencent.angel.ml.math2.vector.IntFloatVector in project angel by Tencent.

the class MixedBinaryInAllExecutor method apply.

private static Vector apply(CompIntFloatVector v1, IntFloatVector v2, Binary op) {
    IntFloatVector[] parts = v1.getPartitions();
    Storage[] resParts = StorageSwitch.applyComp(v1, v2, op);
    if (v2.isDense()) {
        float[] v2Values = v2.getStorage().getValues();
        int base = 0, k = 0;
        for (IntFloatVector part : parts) {
            IntFloatVectorStorage resPart = (IntFloatVectorStorage) resParts[k];
            if (part.isDense()) {
                float[] partValue = part.getStorage().getValues();
                float[] resPartValues = resPart.getValues();
                for (int i = 0; i < partValue.length; i++) {
                    int idx = i + base;
                    resPartValues[i] = op.apply(partValue[i], v2Values[idx]);
                }
            } else if (part.isSparse()) {
                float[] resPartValues = resPart.getValues();
                if (part.size() < Constant.denseLoopThreshold * part.getDim()) {
                    for (int i = 0; i < part.getDim(); i++) {
                        resPart.set(i, op.apply(0, v2Values[i + base]));
                    }
                    ObjectIterator<Int2FloatMap.Entry> iter = part.getStorage().entryIterator();
                    while (iter.hasNext()) {
                        Int2FloatMap.Entry entry = iter.next();
                        int idx = entry.getIntKey();
                        resPart.set(idx, op.apply(entry.getFloatValue(), v2Values[idx + base]));
                    }
                } else {
                    for (int i = 0; i < resPartValues.length; i++) {
                        if (part.getStorage().hasKey(i)) {
                            resPart.set(i, op.apply(part.get(i), v2Values[i + base]));
                        } else {
                            resPart.set(i, op.apply(0, v2Values[i + base]));
                        }
                    }
                }
            } else {
                // sorted
                int[] resPartIndices = resPart.getIndices();
                float[] resPartValues = resPart.getValues();
                if (op.isKeepStorage()) {
                    if (part.size() < Constant.denseLoopThreshold * part.getDim()) {
                        int[] partIndices = part.getStorage().getIndices();
                        float[] partValues = part.getStorage().getValues();
                        for (int i = 0; i < part.getDim(); i++) {
                            resPartIndices[i] = i;
                            resPartValues[i] = op.apply(0, v2Values[i + base]);
                        }
                        int size = part.size();
                        for (int i = 0; i < size; i++) {
                            int idx = partIndices[i];
                            resPartValues[idx] = op.apply(partValues[i], v2Values[idx + base]);
                        }
                    } else {
                        IntFloatVectorStorage partStorage = part.getStorage();
                        for (int i = 0; i < resPartValues.length; i++) {
                            if (partStorage.hasKey(i)) {
                                resPartIndices[i] = i;
                                resPartValues[i] = op.apply(partStorage.get(i), v2Values[i + base]);
                            } else {
                                resPartIndices[i] = i;
                                resPartValues[i] = op.apply(0, v2Values[i + base]);
                            }
                        }
                    }
                } else {
                    if (part.size() < Constant.denseLoopThreshold * part.getDim()) {
                        int[] partIndices = part.getStorage().getIndices();
                        float[] partValues = part.getStorage().getValues();
                        for (int i = 0; i < part.getDim(); i++) {
                            resPartValues[i] = op.apply(0, v2Values[i + base]);
                        }
                        int size = part.size();
                        for (int i = 0; i < size; i++) {
                            int idx = partIndices[i];
                            resPartValues[idx] = op.apply(partValues[i], v2Values[idx + base]);
                        }
                    } else {
                        IntFloatVectorStorage partStorage = part.getStorage();
                        for (int i = 0; i < resPartValues.length; i++) {
                            if (partStorage.hasKey(i)) {
                                resPartValues[i] = op.apply(partStorage.get(i), v2Values[i + base]);
                            } else {
                                resPartValues[i] = op.apply(0, v2Values[i + base]);
                            }
                        }
                    }
                }
            }
            base += part.getDim();
            k++;
        }
    } else {
        if (!op.isKeepStorage()) {
            for (int i = 0; i < parts.length; i++) {
                if (parts[i].getStorage() instanceof IntFloatSortedVectorStorage) {
                    resParts[i] = new IntFloatSparseVectorStorage(parts[i].getDim(), parts[i].getStorage().getIndices(), parts[i].getStorage().getValues());
                }
            }
        }
        int subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
        for (int i = 0; i < v1.getDim(); i++) {
            int pidx = (int) (i / subDim);
            int subidx = i % subDim;
            if (v2.getStorage().hasKey(i)) {
                ((IntFloatVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), v2.get(i)));
            } else {
                ((IntFloatVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), 0));
            }
        }
    }
    IntFloatVector[] res = new IntFloatVector[parts.length];
    int i = 0;
    for (IntFloatVector part : parts) {
        res[i] = new IntFloatVector(part.getMatrixId(), part.getRowId(), part.getClock(), part.getDim(), (IntFloatVectorStorage) resParts[i]);
        i++;
    }
    v1.setPartitions(res);
    return v1;
}