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

Example 21 with IntFloatSparseVectorStorage

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

the class MixedBinaryOutNonZAExecutor method apply.

private static Vector apply(CompIntFloatVector v1, IntDummyVector v2, Binary op) {
    IntFloatVector[] 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 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();
    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;
        ((IntFloatVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), 1));
    }
    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++;
    }
    return new CompIntFloatVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), res, v1.getSubDim());
}

Example 22 with IntFloatSparseVectorStorage

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

the class MixedBinaryInNonZAExecutor method apply.

private static Vector apply(CompIntFloatVector v1, IntIntVector v2, Binary op) {
    IntFloatVector[] parts = v1.getPartitions();
    Storage[] resParts = StorageSwitch.applyComp(v1, v2, op);
    if (v2.isDense()) {
        int[] v2Values = v2.getStorage().getValues();
        int base = 0, k = 0;
        for (IntFloatVector part : parts) {
            IntFloatVectorStorage resPart = (IntFloatVectorStorage) resParts[k];
            float[] newValues = resPart.getValues();
            if (part.isDense()) {
                float[] partValue = part.getStorage().getValues();
                for (int i = 0; i < partValue.length; i++) {
                    int idx = i + base;
                    newValues[i] = op.apply(partValue[i], v2Values[idx]);
                }
            } 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<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 < newValues.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
                if (op.isKeepStorage()) {
                    int dim = part.getDim();
                    int[] resIndices = resPart.getIndices();
                    float[] resValues = resPart.getValues();
                    int[] partIndices = part.getStorage().getIndices();
                    float[] partValues = part.getStorage().getValues();
                    for (int i = 0; i < dim; i++) {
                        resIndices[i] = i;
                        resValues[i] = op.apply(0, v2Values[i]);
                    }
                    int size = v1.size();
                    for (int i = 0; i < size; i++) {
                        int idx = partIndices[i];
                        resValues[idx] = op.apply(partValues[i], v2Values[idx + 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++) {
                            newValues[i] = op.apply(0, v2Values[i + base]);
                        }
                        int size = part.size();
                        for (int i = 0; i < size; i++) {
                            int idx = partIndices[i];
                            newValues[idx] = op.apply(partValues[i], v2Values[idx + base]);
                        }
                    } else {
                        IntFloatVectorStorage partStorage = part.getStorage();
                        for (int i = 0; i < newValues.length; i++) {
                            if (partStorage.hasKey(i)) {
                                newValues[i] = op.apply(partStorage.get(i), v2Values[i + base]);
                            } else {
                                newValues[i] = op.apply(0, v2Values[i + base]);
                            }
                        }
                    }
                }
            }
            base += part.getDim();
            k++;
        }
    } else if (v2.isSparse()) {
        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();
        ObjectIterator<Int2IntMap.Entry> iter = v2.getStorage().entryIterator();
        while (iter.hasNext()) {
            Int2IntMap.Entry entry = iter.next();
            int gidx = entry.getIntKey();
            int pidx = (int) (gidx / subDim);
            int subidx = gidx % subDim;
            ((IntFloatVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), entry.getIntValue()));
        }
    } else {
        // sorted
        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();
        int[] v2Indices = v2.getStorage().getIndices();
        int[] v2Values = v2.getStorage().getValues();
        for (int i = 0; i < v2Indices.length; i++) {
            int gidx = v2Indices[i];
            int pidx = (int) (gidx / subDim);
            int subidx = gidx % subDim;
            ((IntFloatVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), v2Values[i]));
        }
    }
    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;
}

Example 23 with IntFloatSparseVectorStorage

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

the class CompIntFloatRowUpdateSplit method serialize.

@Override
public void serialize(ByteBuf buf) {
    super.serialize(buf);
    IntFloatVectorStorage storage = split.getStorage();
    if (storage instanceof IntFloatSparseVectorStorage) {
        buf.writeInt(storage.size());
        ObjectIterator<Int2FloatMap.Entry> iter = storage.entryIterator();
        Int2FloatMap.Entry entry;
        while (iter.hasNext()) {
            entry = iter.next();
            buf.writeInt(entry.getIntKey());
            buf.writeFloat(entry.getFloatValue());
        }
    } else if (storage instanceof IntFloatSortedVectorStorage) {
        buf.writeInt(storage.size());
        int[] indices = storage.getIndices();
        float[] values = storage.getValues();
        for (int i = 0; i < indices.length; i++) {
            buf.writeInt(indices[i]);
            buf.writeFloat(values[i]);
        }
    } else if (storage instanceof IntFloatDenseVectorStorage) {
        float[] values = storage.getValues();
        int writeSize = values.length < maxItemNum ? values.length : maxItemNum;
        buf.writeInt(writeSize);
        for (int i = 0; i < writeSize; i++) {
            buf.writeFloat(values[i]);
        }
    } else {
        throw new UnsupportedOperationException("unsupport split for storage " + storage.getClass().getName());
    }
}

Example 24 with IntFloatSparseVectorStorage

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

the class RBIntFloatMatrix method initEmpty.

@Override
public void initEmpty(int idx) {
    if (null == rows[idx]) {
        IntFloatSparseVectorStorage storage = new IntFloatSparseVectorStorage((int) getDim());
        rows[idx] = new IntFloatVector(matrixId, idx, clock, (int) getDim(), storage);
    }
}

Example 25 with IntFloatSparseVectorStorage

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

the class CooIntFloatMatrix method getCol.

@Override
public Vector getCol(int idx) {
    IntArrayList cols = new IntArrayList();
    FloatArrayList data = new FloatArrayList();
    for (int i = 0; i < colIndices.length; i++) {
        if (colIndices[i] == idx) {
            cols.add(rowIndices[i]);
            data.add(values[i]);
        }
    }
    IntFloatSparseVectorStorage storage = new IntFloatSparseVectorStorage(shape[0], cols.toIntArray(), data.toFloatArray());
    return new IntFloatVector(getMatrixId(), 0, getClock(), shape[0], storage);
}