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

Example 1 with CompIntLongVector

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

the class MixedBinaryOutNonZAExecutor method apply.

private static Vector apply(CompIntLongVector v1, IntDummyVector v2, Binary op) {
    IntLongVector[] 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 IntLongSortedVectorStorage) {
                resParts[i] = new IntLongSparseVectorStorage(parts[i].getDim(), parts[i].getStorage().getIndices(), parts[i].getStorage().getValues());
            }
        }
    }
    int subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
    int[] v2Indices = v2.getIndices();
    for (int i = 0; i < v2Indices.length; i++) {
        int gidx = v2Indices[i];
        int pidx = (int) (gidx / subDim);
        int subidx = gidx % subDim;
        ((IntLongVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), 1));
    }
    IntLongVector[] res = new IntLongVector[parts.length];
    int i = 0;
    for (IntLongVector part : parts) {
        res[i] = new IntLongVector(part.getMatrixId(), part.getRowId(), part.getClock(), part.getDim(), (IntLongVectorStorage) resParts[i]);
        i++;
    }
    return new CompIntLongVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), res, v1.getSubDim());
}

Example 2 with CompIntLongVector

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

the class VectorUtils method emptyLike.

private static ComponentVector emptyLike(ComponentVector v) {
    ComponentVector result;
    if (v instanceof CompIntDoubleVector) {
        IntDoubleVector[] parts = new IntDoubleVector[v.getNumPartitions()];
        IntDoubleVector[] refParts = ((CompIntDoubleVector) v).getPartitions();
        for (int i = 0; i < refParts.length; i++) {
            if (null != refParts[i]) {
                parts[i] = (IntDoubleVector) emptyLike((SimpleVector) refParts[i]);
            }
        }
        result = new CompIntDoubleVector(((CompIntDoubleVector) v).getMatrixId(), ((CompIntDoubleVector) v).getRowId(), ((CompIntDoubleVector) v).getClock(), ((CompIntDoubleVector) v).getDim(), parts, ((CompIntDoubleVector) v).getSubDim());
    } else if (v instanceof CompIntFloatVector) {
        IntFloatVector[] parts = new IntFloatVector[v.getNumPartitions()];
        IntFloatVector[] refParts = ((CompIntFloatVector) v).getPartitions();
        for (int i = 0; i < refParts.length; i++) {
            if (null != refParts[i]) {
                parts[i] = (IntFloatVector) emptyLike((SimpleVector) refParts[i]);
            }
        }
        result = new CompIntFloatVector(((CompIntFloatVector) v).getMatrixId(), ((CompIntFloatVector) v).getRowId(), ((CompIntFloatVector) v).getClock(), ((CompIntFloatVector) v).getDim(), parts, ((CompIntFloatVector) v).getSubDim());
    } else if (v instanceof CompIntLongVector) {
        IntLongVector[] parts = new IntLongVector[v.getNumPartitions()];
        IntLongVector[] refParts = ((CompIntLongVector) v).getPartitions();
        for (int i = 0; i < refParts.length; i++) {
            if (null != refParts[i]) {
                parts[i] = (IntLongVector) emptyLike((SimpleVector) refParts[i]);
            }
        }
        result = new CompIntLongVector(((CompIntLongVector) v).getMatrixId(), ((CompIntLongVector) v).getRowId(), ((CompIntLongVector) v).getClock(), ((CompIntLongVector) v).getDim(), parts, ((CompIntLongVector) v).getSubDim());
    } else if (v instanceof CompIntIntVector) {
        IntIntVector[] parts = new IntIntVector[v.getNumPartitions()];
        IntIntVector[] refParts = ((CompIntIntVector) v).getPartitions();
        for (int i = 0; i < refParts.length; i++) {
            if (null != refParts[i]) {
                parts[i] = (IntIntVector) emptyLike((SimpleVector) refParts[i]);
            }
        }
        result = new CompIntIntVector(((CompIntIntVector) v).getMatrixId(), ((CompIntIntVector) v).getRowId(), ((CompIntIntVector) v).getClock(), ((CompIntIntVector) v).getDim(), parts, ((CompIntIntVector) v).getSubDim());
    } else if (v instanceof CompLongDoubleVector) {
        LongDoubleVector[] parts = new LongDoubleVector[v.getNumPartitions()];
        LongDoubleVector[] refParts = ((CompLongDoubleVector) v).getPartitions();
        for (int i = 0; i < refParts.length; i++) {
            if (null != refParts[i]) {
                parts[i] = (LongDoubleVector) emptyLike((SimpleVector) refParts[i]);
            }
        }
        result = new CompLongDoubleVector(((CompLongDoubleVector) v).getMatrixId(), ((CompLongDoubleVector) v).getRowId(), ((CompLongDoubleVector) v).getClock(), ((CompLongDoubleVector) v).getDim(), parts, ((CompLongDoubleVector) v).getSubDim());
    } else if (v instanceof CompLongFloatVector) {
        LongFloatVector[] parts = new LongFloatVector[v.getNumPartitions()];
        LongFloatVector[] refParts = ((CompLongFloatVector) v).getPartitions();
        for (int i = 0; i < refParts.length; i++) {
            if (null != refParts[i]) {
                parts[i] = (LongFloatVector) emptyLike((SimpleVector) refParts[i]);
            }
        }
        result = new CompLongFloatVector(((CompLongFloatVector) v).getMatrixId(), ((CompLongFloatVector) v).getRowId(), ((CompLongFloatVector) v).getClock(), ((CompLongFloatVector) v).getDim(), parts, ((CompLongFloatVector) v).getSubDim());
    } else if (v instanceof CompLongLongVector) {
        LongLongVector[] parts = new LongLongVector[v.getNumPartitions()];
        LongLongVector[] refParts = ((CompLongLongVector) v).getPartitions();
        for (int i = 0; i < refParts.length; i++) {
            if (null != refParts[i]) {
                parts[i] = (LongLongVector) emptyLike((SimpleVector) refParts[i]);
            }
        }
        result = new CompLongLongVector(((CompLongLongVector) v).getMatrixId(), ((CompLongLongVector) v).getRowId(), ((CompLongLongVector) v).getClock(), ((CompLongLongVector) v).getDim(), parts, ((CompLongLongVector) v).getSubDim());
    } else if (v instanceof CompLongIntVector) {
        LongIntVector[] parts = new LongIntVector[v.getNumPartitions()];
        LongIntVector[] refParts = ((CompLongIntVector) v).getPartitions();
        for (int i = 0; i < refParts.length; i++) {
            if (null != refParts[i]) {
                parts[i] = (LongIntVector) emptyLike((SimpleVector) refParts[i]);
            }
        }
        result = new CompLongIntVector(((CompLongIntVector) v).getMatrixId(), ((CompLongIntVector) v).getRowId(), ((CompLongIntVector) v).getClock(), ((CompLongIntVector) v).getDim(), parts, ((CompLongIntVector) v).getSubDim());
    } else {
        throw new AngelException("The operation is not support!");
    }
    return result;
}

Example 3 with CompIntLongVector

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

the class RBCompIntLongMatrix method initEmpty.

@Override
public void initEmpty(int idx) {
    int numComp = (int) ((getDim() + subDim - 1) / subDim);
    if (null == rows[idx]) {
        IntLongVector[] tmpParts = new IntLongVector[numComp];
        for (int i = 0; i < numComp; i++) {
            IntLongSparseVectorStorage storage = new IntLongSparseVectorStorage(subDim);
            tmpParts[i] = new IntLongVector(matrixId, idx, clock, (int) getDim(), storage);
        }
        CompIntLongVector tmpVect = new CompIntLongVector(matrixId, idx, clock, (int) getDim(), tmpParts, subDim);
        rows[idx] = tmpVect;
    }
}

Example 4 with CompIntLongVector

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

the class MixedBinaryOutAllExecutor method apply.

private static Vector apply(CompIntLongVector v1, IntLongVector v2, Binary op) {
    IntLongVector[] parts = v1.getPartitions();
    Storage[] resParts = StorageSwitch.applyComp(v1, v2, op);
    if (v2.isDense()) {
        long[] v2Values = v2.getStorage().getValues();
        int base = 0, k = 0;
        for (IntLongVector part : parts) {
            IntLongVectorStorage resPart = (IntLongVectorStorage) resParts[k];
            if (part.isDense()) {
                long[] partValue = part.getStorage().getValues();
                long[] resPartValues = resPart.getValues();
                for (int i = 0; i < partValue.length; i++) {
                    int idx = i;
                    resPartValues[i] = op.apply(partValue[i], v2Values[idx + base]);
                }
            } else if (part.isSparse()) {
                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<Int2LongMap.Entry> iter = part.getStorage().entryIterator();
                    while (iter.hasNext()) {
                        Int2LongMap.Entry entry = iter.next();
                        int idx = entry.getIntKey();
                        resPart.set(idx, op.apply(entry.getLongValue(), v2Values[idx + base]));
                    }
                } else {
                    for (int i = 0; i < resPart.size(); 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
                if (op.isKeepStorage()) {
                    int[] resPartIndices = resPart.getIndices();
                    long[] resPartValues = resPart.getValues();
                    if (part.size() < Constant.denseLoopThreshold * part.getDim()) {
                        int[] partIndices = part.getStorage().getIndices();
                        long[] 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 {
                        IntLongVectorStorage 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 {
                    long[] resPartValues = resPart.getValues();
                    if (part.size() < Constant.denseLoopThreshold * part.getDim()) {
                        int[] partIndices = part.getStorage().getIndices();
                        long[] 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 {
                        IntLongVectorStorage 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 IntLongSortedVectorStorage) {
                    resParts[i] = new IntLongSparseVectorStorage(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)) {
                ((IntLongVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), v2.get(i)));
            } else {
                ((IntLongVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), 0));
            }
        }
    }
    IntLongVector[] res = new IntLongVector[parts.length];
    int i = 0;
    for (IntLongVector part : parts) {
        res[i] = new IntLongVector(part.getMatrixId(), part.getRowId(), part.getClock(), part.getDim(), (IntLongVectorStorage) resParts[i]);
        i++;
    }
    return new CompIntLongVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), res, v1.getSubDim());
}

Example 5 with CompIntLongVector

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

the class MixedDotExecutor method apply.

private static double apply(CompIntLongVector v1, IntIntVector v2) {
    double dotValue = 0.0;
    if (v2.isDense()) {
        int base = 0;
        int[] v2Values = v2.getStorage().getValues();
        for (IntLongVector part : v1.getPartitions()) {
            if (part.isDense()) {
                long[] partValues = part.getStorage().getValues();
                for (int i = 0; i < partValues.length; i++) {
                    int idx = base + i;
                    dotValue += partValues[i] * v2Values[idx];
                }
            } else if (part.isSparse()) {
                ObjectIterator<Int2LongMap.Entry> iter = part.getStorage().entryIterator();
                while (iter.hasNext()) {
                    Int2LongMap.Entry entry = iter.next();
                    int idx = base + entry.getIntKey();
                    dotValue += entry.getLongValue() * v2Values[idx];
                }
            } else {
                // isSorted
                int[] partIndices = part.getStorage().getIndices();
                long[] partValues = part.getStorage().getValues();
                for (int i = 0; i < partIndices.length; i++) {
                    int idx = base + partIndices[i];
                    dotValue += partValues[i] * v2Values[idx];
                }
            }
            base += part.getDim();
        }
    } else if (v2.isSparse()) {
        ObjectIterator<Int2IntMap.Entry> iter = v2.getStorage().entryIterator();
        while (iter.hasNext()) {
            Int2IntMap.Entry entry = iter.next();
            int idx = entry.getIntKey();
            dotValue += v1.get(idx) * entry.getIntValue();
        }
    } else if (v2.isSorted() && v1.size() > v2.size()) {
        // v2 is sorted
        int[] v2Indices = v2.getStorage().getIndices();
        int[] v2Values = v2.getStorage().getValues();
        for (int i = 0; i < v2Indices.length; i++) {
            int idx = v2Indices[i];
            dotValue += v1.get(idx) * v2Values[i];
        }
    } else {
        int base = 0;
        for (IntLongVector part : v1.getPartitions()) {
            if (part.isDense()) {
                long[] partValues = part.getStorage().getValues();
                for (int i = 0; i < partValues.length; i++) {
                    int idx = base + i;
                    dotValue += partValues[i] * v2.get(idx);
                }
            } else if (part.isSparse()) {
                ObjectIterator<Int2LongMap.Entry> iter = part.getStorage().entryIterator();
                while (iter.hasNext()) {
                    Int2LongMap.Entry entry = iter.next();
                    int idx = base + entry.getIntKey();
                    dotValue += entry.getLongValue() * v2.get(idx);
                }
            } else {
                // isSorted
                int[] partIndices = part.getStorage().getIndices();
                long[] partValues = part.getStorage().getValues();
                for (int i = 0; i < partIndices.length; i++) {
                    int idx = base + partIndices[i];
                    dotValue += partValues[i] * v2.get(idx);
                }
            }
            base += part.getDim();
        }
    }
    return dotValue;
}