Examples with LongIntSortedVectorStorage com.tencent.angel.ml.math2.storage.LongIntSortedVectorStorage used on opensource projects

Example 6 with LongIntSortedVectorStorage

use of com.tencent.angel.ml.math2.storage.LongIntSortedVectorStorage in project angel by Tencent.

the class RangeRouterUtils method splitLongIntVector.

public static KeyValuePart[] splitLongIntVector(MatrixMeta matrixMeta, LongIntVector vector) {
    LongIntVectorStorage storage = vector.getStorage();
    if (storage.isSparse()) {
        // Get keys and values
        LongIntSparseVectorStorage sparseStorage = (LongIntSparseVectorStorage) storage;
        long[] keys = sparseStorage.getIndices();
        int[] values = sparseStorage.getValues();
        return split(matrixMeta, vector.getRowId(), keys, values, false);
    } else {
        // Key and value array pair
        LongIntSortedVectorStorage sortStorage = (LongIntSortedVectorStorage) storage;
        long[] keys = sortStorage.getIndices();
        int[] values = sortStorage.getValues();
        return split(matrixMeta, vector.getRowId(), keys, values, true);
    }
}

Example 7 with LongIntSortedVectorStorage

use of com.tencent.angel.ml.math2.storage.LongIntSortedVectorStorage in project angel by Tencent.

the class HashRouterUtils method splitLongIntVector.

public static void splitLongIntVector(KeyHash hasher, MatrixMeta matrixMeta, LongIntVector vector, KeyValuePart[] dataParts) {
    int dataPartNum = dataParts.length;
    int dataPartNumMinus1 = dataPartNum - 1;
    if (isPow2(dataPartNum)) {
        LongIntVectorStorage storage = vector.getStorage();
        if (storage.isSparse()) {
            // Use iterator
            LongIntSparseVectorStorage sparseStorage = (LongIntSparseVectorStorage) storage;
            ObjectIterator<Long2IntMap.Entry> iter = sparseStorage.entryIterator();
            while (iter.hasNext()) {
                Long2IntMap.Entry keyValue = iter.next();
                int partId = computeHashCode(hasher, keyValue.getLongKey()) & dataPartNumMinus1;
                ((HashLongKeysIntValuesPart) dataParts[partId]).add(keyValue.getLongKey(), keyValue.getIntValue());
            }
        } else {
            // Key and value array pair
            LongIntSortedVectorStorage sortStorage = (LongIntSortedVectorStorage) storage;
            long[] keys = sortStorage.getIndices();
            int[] values = sortStorage.getValues();
            for (int i = 0; i < keys.length; i++) {
                int partId = computeHashCode(hasher, keys[i]) & dataPartNumMinus1;
                ((HashLongKeysIntValuesPart) dataParts[partId]).add(keys[i], values[i]);
            }
        }
    } else {
        LongIntVectorStorage storage = vector.getStorage();
        if (storage.isSparse()) {
            // Use iterator
            LongIntSparseVectorStorage sparseStorage = (LongIntSparseVectorStorage) storage;
            ObjectIterator<Long2IntMap.Entry> iter = sparseStorage.entryIterator();
            while (iter.hasNext()) {
                Long2IntMap.Entry keyValue = iter.next();
                int partId = computeHashCode(hasher, keyValue.getLongKey()) % dataPartNum;
                ((HashLongKeysIntValuesPart) dataParts[partId]).add(keyValue.getLongKey(), keyValue.getIntValue());
            }
        } else {
            // Key and value array pair
            LongIntSortedVectorStorage sortStorage = (LongIntSortedVectorStorage) storage;
            long[] keys = sortStorage.getIndices();
            int[] values = sortStorage.getValues();
            for (int i = 0; i < keys.length; i++) {
                int partId = computeHashCode(hasher, keys[i]) % dataPartNum;
                ((HashLongKeysIntValuesPart) dataParts[partId]).add(keys[i], values[i]);
            }
        }
    }
}

Example 8 with LongIntSortedVectorStorage

use of com.tencent.angel.ml.math2.storage.LongIntSortedVectorStorage in project angel by Tencent.

the class MixedBinaryInAllExecutor method apply.

private static Vector apply(CompLongIntVector v1, LongIntVector v2, Binary op) {
    LongIntVector[] parts = v1.getPartitions();
    Storage[] resParts = StorageSwitch.applyComp(v1, v2, op);
    if (!op.isKeepStorage()) {
        for (int i = 0; i < parts.length; i++) {
            if (parts[i].getStorage() instanceof LongIntSortedVectorStorage) {
                resParts[i] = new LongIntSparseVectorStorage(parts[i].getDim(), parts[i].getStorage().getIndices(), parts[i].getStorage().getValues());
            }
        }
    }
    long subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
    for (int i = 0; i < v1.getDim(); i++) {
        int pidx = (int) (i / subDim);
        long subidx = i % subDim;
        if (v2.getStorage().hasKey(i)) {
            ((LongIntVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), v2.get(i)));
        } else {
            ((LongIntVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), 0));
        }
    }
    LongIntVector[] res = new LongIntVector[parts.length];
    int i = 0;
    for (LongIntVector part : parts) {
        res[i] = new LongIntVector(part.getMatrixId(), part.getRowId(), part.getClock(), part.getDim(), (LongIntVectorStorage) resParts[i]);
        i++;
    }
    v1.setPartitions(res);
    return v1;
}

Example 9 with LongIntSortedVectorStorage

use of com.tencent.angel.ml.math2.storage.LongIntSortedVectorStorage in project angel by Tencent.

the class MixedBinaryInAllExecutor method apply.

private static Vector apply(CompLongIntVector v1, LongDummyVector v2, Binary op) {
    LongIntVector[] parts = v1.getPartitions();
    Storage[] resParts = StorageSwitch.applyComp(v1, v2, op);
    if (!op.isKeepStorage()) {
        for (int i = 0; i < parts.length; i++) {
            if (parts[i].getStorage() instanceof LongIntSortedVectorStorage) {
                resParts[i] = new LongIntSparseVectorStorage(parts[i].getDim(), parts[i].getStorage().getIndices(), parts[i].getStorage().getValues());
            }
        }
    }
    long subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
    for (int i = 0; i < v1.getDim(); i++) {
        int pidx = (int) (i / subDim);
        long subidx = i % subDim;
        ((LongIntVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), v2.get(i)));
    }
    LongIntVector[] res = new LongIntVector[parts.length];
    int i = 0;
    for (LongIntVector part : parts) {
        res[i] = new LongIntVector(part.getMatrixId(), part.getRowId(), part.getClock(), part.getDim(), (LongIntVectorStorage) resParts[i]);
        i++;
    }
    v1.setPartitions(res);
    return v1;
}

Example 10 with LongIntSortedVectorStorage

use of com.tencent.angel.ml.math2.storage.LongIntSortedVectorStorage in project angel by Tencent.

the class MixedBinaryOutNonZAExecutor method apply.

private static Vector apply(CompLongIntVector v1, LongDummyVector v2, Binary op) {
    LongIntVector[] parts = v1.getPartitions();
    Storage[] resParts = StorageSwitch.applyComp(v1, v2, op);
    if (!op.isKeepStorage()) {
        for (int i = 0; i < parts.length; i++) {
            if (parts[i].getStorage() instanceof LongIntSortedVectorStorage) {
                resParts[i] = new LongIntSparseVectorStorage(parts[i].getDim(), parts[i].getStorage().getIndices(), parts[i].getStorage().getValues());
            }
        }
    }
    long subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
    long[] v2Indices = v2.getIndices();
    for (int i = 0; i < v2Indices.length; i++) {
        long gidx = v2Indices[i];
        int pidx = (int) (gidx / subDim);
        long subidx = gidx % subDim;
        ((LongIntVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), 1));
    }
    LongIntVector[] res = new LongIntVector[parts.length];
    int i = 0;
    for (LongIntVector part : parts) {
        res[i] = new LongIntVector(part.getMatrixId(), part.getRowId(), part.getClock(), part.getDim(), (LongIntVectorStorage) resParts[i]);
        i++;
    }
    return new CompLongIntVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), res, v1.getSubDim());
}