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

Example 46 with LongFloatVectorStorage

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

the class StreamSerdeUtils method serializedLongFloatVectorLen.

public static int serializedLongFloatVectorLen(LongFloatVector vector) {
    int len = 0;
    LongFloatVectorStorage storage = vector.getStorage();
    if (storage.isSparse()) {
        len += serializedIntLen(SPARSE_STORAGE_TYPE);
        len += serializedIntLen(storage.size());
        len += storage.size() * (INT_LENGTH + FLOAT_LENGTH);
    } else if (storage.isSorted()) {
        len += serializedIntLen(SORTED_STORAGE_TYPE);
        len += serializedLongsLen(vector.getStorage().getIndices());
        len += serializedFloatsLen(vector.getStorage().getValues());
    } else {
        throw new UnsupportedOperationException("Unsupport storage type " + vector.getStorage().getClass());
    }
    return len;
}

Example 47 with LongFloatVectorStorage

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

the class SimpleBinaryOutNonZAExecutor method apply.

public static Vector apply(LongFloatVector v1, LongDummyVector v2, Binary op) {
    LongFloatVectorStorage newStorage = (LongFloatVectorStorage) StorageSwitch.apply(v1, v2, op);
    if (v1.isSparse()) {
        long[] v2Indices = v2.getIndices();
        if (((v1.size() + v2.size()) * Constant.intersectionCoeff > Constant.sparseDenseStorageThreshold * v1.getDim())) {
            float[] resValues = newStorage.getValues();
            ObjectIterator<Long2FloatMap.Entry> iter = v1.getStorage().entryIterator();
            while (iter.hasNext()) {
                Long2FloatMap.Entry entry = iter.next();
                newStorage.set(entry.getLongKey(), entry.getFloatValue());
            }
            for (long idx : v2Indices) {
                newStorage.set(idx, op.apply(v1.get(idx), 1));
            }
        } else {
            // to avoid multi-rehash
            int capacity = 1 << (32 - Integer.numberOfLeadingZeros((int) (v1.size() / 0.75)));
            if (v1.size() + v2.size() < 1.5 * capacity) {
                long size = v2.size();
                for (int i = 0; i < size; i++) {
                    long idx = v2Indices[i];
                    newStorage.set(idx, op.apply(v1.get(idx), 1));
                }
            } else {
                ObjectIterator<Long2FloatMap.Entry> iter1 = v1.getStorage().entryIterator();
                while (iter1.hasNext()) {
                    Long2FloatMap.Entry entry = iter1.next();
                    long idx = entry.getLongKey();
                    newStorage.set(idx, entry.getFloatValue());
                }
                long size = v2.size();
                for (int i = 0; i < size; i++) {
                    long idx = v2Indices[i];
                    newStorage.set(idx, op.apply(v1.get(idx), 1));
                }
            }
        }
    } else {
        // sorted
        long[] v1Indices = v1.getStorage().getIndices();
        long[] v2Indices = v2.getIndices();
        if (!op.isKeepStorage() && ((v1.size() + v2.size()) * Constant.intersectionCoeff > Constant.sortedDenseStorageThreshold * v1.getDim())) {
            float[] v1Values = v1.getStorage().getValues();
            long size = v1.size();
            for (int i = 0; i < size; i++) {
                newStorage.set(v1Indices[i], v1Values[i]);
            }
            size = v2.size();
            for (int i = 0; i < size; i++) {
                long idx = v2Indices[i];
                newStorage.set(idx, op.apply(newStorage.get(idx), 1));
            }
        } else {
            int v1Pointor = 0;
            int v2Pointor = 0;
            long size1 = v1.size();
            long size2 = v2.size();
            float[] v1Values = v1.getStorage().getValues();
            while (v1Pointor < size1 || v2Pointor < size2) {
                if ((v1Pointor < size1 && v2Pointor < size2) && v1Indices[v1Pointor] == v2Indices[v2Pointor]) {
                    newStorage.set(v1Indices[v1Pointor], op.apply(v1Values[v1Pointor], 1));
                    v1Pointor++;
                    v2Pointor++;
                } else if ((v1Pointor < size1 && v2Pointor < size2) && v1Indices[v1Pointor] < v2Indices[v2Pointor] || (v1Pointor < size1 && v2Pointor >= size2)) {
                    newStorage.set(v1Indices[v1Pointor], v1Values[v1Pointor]);
                    v1Pointor++;
                } else if (((v1Pointor < size1 && v2Pointor < size2) && v1Indices[v1Pointor] >= v2Indices[v2Pointor]) || (v1Pointor >= size1 && v2Pointor < size2)) {
                    newStorage.set(v2Indices[v2Pointor], op.apply(0, 1));
                    v2Pointor++;
                }
            }
        }
    }
    return new LongFloatVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), newStorage);
}

Example 48 with LongFloatVectorStorage

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

the class SimpleBinaryOutNonZAExecutor method apply.

public static Vector apply(LongFloatVector v1, LongIntVector v2, Binary op) {
    LongFloatVectorStorage newStorage = (LongFloatVectorStorage) StorageSwitch.apply(v1, v2, op);
    if (v1.isSparse() && v2.isSparse()) {
        long v1Size = v1.size();
        long v2Size = v2.size();
        if (v1Size >= v2Size * Constant.sparseThreshold && (v1Size + v2Size) * Constant.intersectionCoeff <= Constant.sparseDenseStorageThreshold * v1.dim()) {
            // we gauss the indices of v2 maybe is a subset of v1, or overlap is very large
            ObjectIterator<Long2IntMap.Entry> iter = v2.getStorage().entryIterator();
            while (iter.hasNext()) {
                Long2IntMap.Entry entry = iter.next();
                long idx = entry.getLongKey();
                newStorage.set(idx, op.apply(v1.get(idx), entry.getIntValue()));
            }
        } else if ((v1Size + v2Size) * Constant.intersectionCoeff >= Constant.sparseDenseStorageThreshold * v1.dim()) {
            // we gauss dense storage is more efficient
            ObjectIterator<Long2FloatMap.Entry> iter1 = v1.getStorage().entryIterator();
            while (iter1.hasNext()) {
                Long2FloatMap.Entry entry = iter1.next();
                long idx = entry.getLongKey();
                newStorage.set(idx, entry.getFloatValue());
            }
            ObjectIterator<Long2IntMap.Entry> iter2 = v2.getStorage().entryIterator();
            while (iter2.hasNext()) {
                Long2IntMap.Entry entry = iter2.next();
                long idx = entry.getLongKey();
                newStorage.set(idx, op.apply(v1.get(idx), entry.getIntValue()));
            }
        } else {
            // to avoid multi-rehash
            int capacity = 1 << (32 - Integer.numberOfLeadingZeros((int) (v1.size() / 0.75)));
            if (v1.size() + v2.size() <= 1.5 * capacity) {
                // no rehashor one onle rehash is required, nothing to optimization
                ObjectIterator<Long2IntMap.Entry> iter = v2.getStorage().entryIterator();
                while (iter.hasNext()) {
                    Long2IntMap.Entry entry = iter.next();
                    long idx = entry.getLongKey();
                    newStorage.set(idx, op.apply(v1.get(idx), entry.getIntValue()));
                }
            } else {
                // multi-rehash
                ObjectIterator<Long2FloatMap.Entry> iter1 = v1.getStorage().entryIterator();
                while (iter1.hasNext()) {
                    Long2FloatMap.Entry entry = iter1.next();
                    long idx = entry.getLongKey();
                    newStorage.set(idx, entry.getFloatValue());
                }
                ObjectIterator<Long2IntMap.Entry> iter2 = v2.getStorage().entryIterator();
                while (iter2.hasNext()) {
                    Long2IntMap.Entry entry = iter2.next();
                    long idx = entry.getLongKey();
                    newStorage.set(idx, op.apply(v1.get(idx), entry.getIntValue()));
                }
            }
        }
    } else if (v1.isSparse() && v2.isSorted()) {
        long v1Size = v1.size();
        long v2Size = v2.size();
        if (v1Size >= v2Size * Constant.sparseThreshold && (v1Size + v2Size) * Constant.intersectionCoeff <= Constant.sparseDenseStorageThreshold * v1.dim()) {
            // we gauss the indices of v2 maybe is a subset of v1, or overlap is very large
            long[] v2Indices = v2.getStorage().getIndices();
            int[] v2Values = v2.getStorage().getValues();
            for (int i = 0; i < v2.size(); i++) {
                long idx = v2Indices[i];
                newStorage.set(idx, op.apply(v1.get(idx), v2Values[i]));
            }
        } else if ((v1Size + v2Size) * Constant.intersectionCoeff >= Constant.sparseDenseStorageThreshold * v1.dim()) {
            ObjectIterator<Long2FloatMap.Entry> iter1 = v1.getStorage().entryIterator();
            while (iter1.hasNext()) {
                Long2FloatMap.Entry entry = iter1.next();
                long idx = entry.getLongKey();
                newStorage.set(idx, entry.getFloatValue());
            }
            long[] v2Indices = v2.getStorage().getIndices();
            int[] v2Values = v2.getStorage().getValues();
            long size = v2.size();
            for (int i = 0; i < size; i++) {
                long idx = v2Indices[i];
                newStorage.set(idx, op.apply(v1.get(idx), v2Values[i]));
            }
        } else {
            // to avoid multi-rehash
            int capacity = 1 << (32 - Integer.numberOfLeadingZeros((int) (v1.size() / 0.75)));
            if (v1.size() + v2.size() <= 1.5 * capacity) {
                long[] v2Indices = v2.getStorage().getIndices();
                int[] v2Values = v2.getStorage().getValues();
                for (int i = 0; i < v2.size(); i++) {
                    long idx = v2Indices[i];
                    newStorage.set(idx, op.apply(v1.get(idx), v2Values[i]));
                }
            } else {
                ObjectIterator<Long2FloatMap.Entry> iter1 = v1.getStorage().entryIterator();
                while (iter1.hasNext()) {
                    Long2FloatMap.Entry entry = iter1.next();
                    long idx = entry.getLongKey();
                    newStorage.set(idx, entry.getFloatValue());
                }
                long[] v2Indices = v2.getStorage().getIndices();
                int[] v2Values = v2.getStorage().getValues();
                long size = v2.size();
                for (int i = 0; i < size; i++) {
                    long idx = v2Indices[i];
                    newStorage.set(idx, op.apply(v1.get(idx), v2Values[i]));
                }
            }
        }
    } else if (v1.isSorted() && v2.isSparse()) {
        long v1Size = v1.size();
        long v2Size = v2.size();
        if ((v1Size + v2Size) * Constant.intersectionCoeff >= Constant.sortedDenseStorageThreshold * v1.dim()) {
            if (op.isKeepStorage()) {
                long[] v1Indices = v1.getStorage().getIndices();
                long[] idxiter = v2.getStorage().indexIterator().toLongArray();
                long[] indices = new long[(int) (v1Size + v2Size)];
                System.arraycopy(v1Indices, 0, indices, 0, (int) v1.size());
                System.arraycopy(idxiter, 0, indices, (int) v1.size(), (int) v2.size());
                LongAVLTreeSet avl = new LongAVLTreeSet(indices);
                LongBidirectionalIterator iter = avl.iterator();
                float[] values = new float[indices.length];
                int i = 0;
                while (iter.hasNext()) {
                    long idx = iter.nextLong();
                    indices[i] = idx;
                    values[i] = op.apply(v1.get(idx), v2.get(idx));
                    i++;
                }
                while (i < indices.length) {
                    indices[i] = 0;
                    i++;
                }
                newStorage = new LongFloatSortedVectorStorage(v1.getDim(), (int) avl.size(), indices, values);
            } else {
                long[] v1Indices = v1.getStorage().getIndices();
                float[] v1Values = v1.getStorage().getValues();
                long size = v1.size();
                for (int i = 0; i < size; i++) {
                    long idx = v1Indices[i];
                    newStorage.set(idx, v1Values[i]);
                }
                ObjectIterator<Long2IntMap.Entry> iter = v2.getStorage().entryIterator();
                while (iter.hasNext()) {
                    Long2IntMap.Entry entry = iter.next();
                    long idx = entry.getLongKey();
                    newStorage.set(idx, op.apply(newStorage.get(idx), entry.getIntValue()));
                }
            }
        } else {
            if (op.isKeepStorage()) {
                long[] v1Indices = v1.getStorage().getIndices();
                long[] idxiter = v2.getStorage().indexIterator().toLongArray();
                long[] indices = new long[(int) (v1Size + v2Size)];
                System.arraycopy(v1Indices, 0, indices, 0, (int) v1.size());
                System.arraycopy(idxiter, 0, indices, (int) v1.size(), (int) v2.size());
                LongAVLTreeSet avl = new LongAVLTreeSet(indices);
                LongBidirectionalIterator iter = avl.iterator();
                float[] values = new float[indices.length];
                int i = 0;
                while (iter.hasNext()) {
                    long idx = iter.nextLong();
                    indices[i] = idx;
                    values[i] = op.apply(v1.get(idx), v2.get(idx));
                    i++;
                }
                while (i < indices.length) {
                    indices[i] = 0;
                    i++;
                }
                newStorage = new LongFloatSortedVectorStorage(v1.getDim(), (int) avl.size(), indices, values);
            } else {
                long[] v1Indices = v1.getStorage().getIndices();
                float[] v1Values = v1.getStorage().getValues();
                long size = v1.size();
                for (int i = 0; i < size; i++) {
                    long idx = v1Indices[i];
                    newStorage.set(idx, v1Values[i]);
                }
                ObjectIterator<Long2IntMap.Entry> iter = v2.getStorage().entryIterator();
                while (iter.hasNext()) {
                    Long2IntMap.Entry entry = iter.next();
                    long idx = entry.getLongKey();
                    newStorage.set(idx, op.apply(newStorage.get(idx), entry.getIntValue()));
                }
            }
        }
    } else if (v1.isSorted() && v2.isSorted()) {
        int v1Pointor = 0;
        int v2Pointor = 0;
        long size1 = v1.size();
        long size2 = v2.size();
        long[] v1Indices = v1.getStorage().getIndices();
        float[] v1Values = v1.getStorage().getValues();
        long[] v2Indices = v2.getStorage().getIndices();
        int[] v2Values = v2.getStorage().getValues();
        if ((size1 + size2) * Constant.intersectionCoeff >= Constant.sortedDenseStorageThreshold * v1.dim()) {
            if (op.isKeepStorage()) {
                // sorted
                long[] resIndices = newStorage.getIndices();
                float[] resValues = newStorage.getValues();
                int global = 0;
                while (v1Pointor < size1 && v2Pointor < size2) {
                    if (v1Indices[v1Pointor] == v2Indices[v2Pointor]) {
                        resIndices[global] = v1Indices[v1Pointor];
                        resValues[global] = op.apply(v1Values[v1Pointor], v2Values[v2Pointor]);
                        global++;
                        v1Pointor++;
                        v2Pointor++;
                    } else if (v1Indices[v1Pointor] < v2Indices[v2Pointor]) {
                        resIndices[global] = v1Indices[v1Pointor];
                        resValues[global] = v1Values[v1Pointor];
                        global++;
                        v1Pointor++;
                    } else {
                        // v1Indices[v1Pointor] > v2Indices[v2Pointor]
                        resIndices[global] = v2Indices[v2Pointor];
                        resValues[global] = op.apply(0, v2Values[v2Pointor]);
                        global++;
                        v2Pointor++;
                    }
                }
            } else {
                // dense
                while (v1Pointor < size1 || v2Pointor < size2) {
                    if ((v1Pointor < size1 && v2Pointor < size2) && v1Indices[v1Pointor] == v2Indices[v2Pointor]) {
                        newStorage.set(v1Indices[v1Pointor], op.apply(v1Values[v1Pointor], v2Values[v2Pointor]));
                        v1Pointor++;
                        v2Pointor++;
                    } else if ((v1Pointor < size1 && v2Pointor < size2) && v1Indices[v1Pointor] < v2Indices[v2Pointor] || (v1Pointor < size1 && v2Pointor >= size2)) {
                        newStorage.set(v1Indices[v1Pointor], v1Values[v1Pointor]);
                        v1Pointor++;
                    } else if (((v1Pointor < size1 && v2Pointor < size2) && v1Indices[v1Pointor] >= v2Indices[v2Pointor]) || (v1Pointor >= size1 && v2Pointor < size2)) {
                        newStorage.set(v2Indices[v2Pointor], op.apply(0, v2Values[v2Pointor]));
                        v2Pointor++;
                    }
                }
            }
        } else {
            if (op.isKeepStorage()) {
                long[] resIndices = newStorage.getIndices();
                float[] resValues = newStorage.getValues();
                int globalPointor = 0;
                while (v1Pointor < size1 && v2Pointor < size2) {
                    if (v1Indices[v1Pointor] == v2Indices[v2Pointor]) {
                        resIndices[globalPointor] = v1Indices[v1Pointor];
                        resValues[globalPointor] = op.apply(v1Values[v1Pointor], v2Values[v2Pointor]);
                        v1Pointor++;
                        v2Pointor++;
                        globalPointor++;
                    } else if (v1Indices[v1Pointor] < v2Indices[v2Pointor]) {
                        resIndices[globalPointor] = v1Indices[v1Pointor];
                        resValues[globalPointor] = v1Values[v1Pointor];
                        v1Pointor++;
                        globalPointor++;
                    } else {
                        // v1Indices[v1Pointor] > v2Indices[v2Pointor]
                        resIndices[globalPointor] = v2Indices[v2Pointor];
                        resValues[globalPointor] = op.apply(0, v2Values[v2Pointor]);
                        v2Pointor++;
                        globalPointor++;
                    }
                }
            } else {
                while (v1Pointor < size1 || v2Pointor < size2) {
                    if ((v1Pointor < size1 && v2Pointor < size2) && v1Indices[v1Pointor] == v2Indices[v2Pointor]) {
                        newStorage.set(v1Indices[v1Pointor], op.apply(v1Values[v1Pointor], v2Values[v2Pointor]));
                        v1Pointor++;
                        v2Pointor++;
                    } else if ((v1Pointor < size1 && v2Pointor < size2) && v1Indices[v1Pointor] < v2Indices[v2Pointor] || (v1Pointor < size1 && v2Pointor >= size2)) {
                        newStorage.set(v1Indices[v1Pointor], v1Values[v1Pointor]);
                        v1Pointor++;
                    } else if (((v1Pointor < size1 && v2Pointor < size2) && v1Indices[v1Pointor] >= v2Indices[v2Pointor]) || (v1Pointor >= size1 && v2Pointor < size2)) {
                        newStorage.set(v2Indices[v2Pointor], op.apply(0, v2Values[v2Pointor]));
                        v2Pointor++;
                    }
                }
            }
        }
    } else {
        throw new AngelException("The operation is not support!");
    }
    return new LongFloatVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), newStorage);
}

Example 49 with LongFloatVectorStorage

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

the class SimpleBinaryOutNonZAExecutor method apply.

public static Vector apply(LongFloatVector v1, LongLongVector v2, Binary op) {
    LongFloatVectorStorage newStorage = (LongFloatVectorStorage) StorageSwitch.apply(v1, v2, op);
    if (v1.isSparse() && v2.isSparse()) {
        long v1Size = v1.size();
        long v2Size = v2.size();
        if (v1Size >= v2Size * Constant.sparseThreshold && (v1Size + v2Size) * Constant.intersectionCoeff <= Constant.sparseDenseStorageThreshold * v1.dim()) {
            // we gauss the indices of v2 maybe is a subset of v1, or overlap is very large
            ObjectIterator<Long2LongMap.Entry> iter = v2.getStorage().entryIterator();
            while (iter.hasNext()) {
                Long2LongMap.Entry entry = iter.next();
                long idx = entry.getLongKey();
                newStorage.set(idx, op.apply(v1.get(idx), entry.getLongValue()));
            }
        } else if ((v1Size + v2Size) * Constant.intersectionCoeff >= Constant.sparseDenseStorageThreshold * v1.dim()) {
            // we gauss dense storage is more efficient
            ObjectIterator<Long2FloatMap.Entry> iter1 = v1.getStorage().entryIterator();
            while (iter1.hasNext()) {
                Long2FloatMap.Entry entry = iter1.next();
                long idx = entry.getLongKey();
                newStorage.set(idx, entry.getFloatValue());
            }
            ObjectIterator<Long2LongMap.Entry> iter2 = v2.getStorage().entryIterator();
            while (iter2.hasNext()) {
                Long2LongMap.Entry entry = iter2.next();
                long idx = entry.getLongKey();
                newStorage.set(idx, op.apply(v1.get(idx), entry.getLongValue()));
            }
        } else {
            // to avoid multi-rehash
            int capacity = 1 << (32 - Integer.numberOfLeadingZeros((int) (v1.size() / 0.75)));
            if (v1.size() + v2.size() <= 1.5 * capacity) {
                // no rehashor one onle rehash is required, nothing to optimization
                ObjectIterator<Long2LongMap.Entry> iter = v2.getStorage().entryIterator();
                while (iter.hasNext()) {
                    Long2LongMap.Entry entry = iter.next();
                    long idx = entry.getLongKey();
                    newStorage.set(idx, op.apply(v1.get(idx), entry.getLongValue()));
                }
            } else {
                // multi-rehash
                ObjectIterator<Long2FloatMap.Entry> iter1 = v1.getStorage().entryIterator();
                while (iter1.hasNext()) {
                    Long2FloatMap.Entry entry = iter1.next();
                    long idx = entry.getLongKey();
                    newStorage.set(idx, entry.getFloatValue());
                }
                ObjectIterator<Long2LongMap.Entry> iter2 = v2.getStorage().entryIterator();
                while (iter2.hasNext()) {
                    Long2LongMap.Entry entry = iter2.next();
                    long idx = entry.getLongKey();
                    newStorage.set(idx, op.apply(v1.get(idx), entry.getLongValue()));
                }
            }
        }
    } else if (v1.isSparse() && v2.isSorted()) {
        long v1Size = v1.size();
        long v2Size = v2.size();
        if (v1Size >= v2Size * Constant.sparseThreshold && (v1Size + v2Size) * Constant.intersectionCoeff <= Constant.sparseDenseStorageThreshold * v1.dim()) {
            // we gauss the indices of v2 maybe is a subset of v1, or overlap is very large
            long[] v2Indices = v2.getStorage().getIndices();
            long[] v2Values = v2.getStorage().getValues();
            for (int i = 0; i < v2.size(); i++) {
                long idx = v2Indices[i];
                newStorage.set(idx, op.apply(v1.get(idx), v2Values[i]));
            }
        } else if ((v1Size + v2Size) * Constant.intersectionCoeff >= Constant.sparseDenseStorageThreshold * v1.dim()) {
            ObjectIterator<Long2FloatMap.Entry> iter1 = v1.getStorage().entryIterator();
            while (iter1.hasNext()) {
                Long2FloatMap.Entry entry = iter1.next();
                long idx = entry.getLongKey();
                newStorage.set(idx, entry.getFloatValue());
            }
            long[] v2Indices = v2.getStorage().getIndices();
            long[] v2Values = v2.getStorage().getValues();
            long size = v2.size();
            for (int i = 0; i < size; i++) {
                long idx = v2Indices[i];
                newStorage.set(idx, op.apply(v1.get(idx), v2Values[i]));
            }
        } else {
            // to avoid multi-rehash
            int capacity = 1 << (32 - Integer.numberOfLeadingZeros((int) (v1.size() / 0.75)));
            if (v1.size() + v2.size() <= 1.5 * capacity) {
                long[] v2Indices = v2.getStorage().getIndices();
                long[] v2Values = v2.getStorage().getValues();
                for (int i = 0; i < v2.size(); i++) {
                    long idx = v2Indices[i];
                    newStorage.set(idx, op.apply(v1.get(idx), v2Values[i]));
                }
            } else {
                ObjectIterator<Long2FloatMap.Entry> iter1 = v1.getStorage().entryIterator();
                while (iter1.hasNext()) {
                    Long2FloatMap.Entry entry = iter1.next();
                    long idx = entry.getLongKey();
                    newStorage.set(idx, entry.getFloatValue());
                }
                long[] v2Indices = v2.getStorage().getIndices();
                long[] v2Values = v2.getStorage().getValues();
                long size = v2.size();
                for (int i = 0; i < size; i++) {
                    long idx = v2Indices[i];
                    newStorage.set(idx, op.apply(v1.get(idx), v2Values[i]));
                }
            }
        }
    } else if (v1.isSorted() && v2.isSparse()) {
        long v1Size = v1.size();
        long v2Size = v2.size();
        if ((v1Size + v2Size) * Constant.intersectionCoeff >= Constant.sortedDenseStorageThreshold * v1.dim()) {
            if (op.isKeepStorage()) {
                long[] v1Indices = v1.getStorage().getIndices();
                long[] idxiter = v2.getStorage().indexIterator().toLongArray();
                long[] indices = new long[(int) (v1Size + v2Size)];
                System.arraycopy(v1Indices, 0, indices, 0, (int) v1.size());
                System.arraycopy(idxiter, 0, indices, (int) v1.size(), (int) v2.size());
                LongAVLTreeSet avl = new LongAVLTreeSet(indices);
                LongBidirectionalIterator iter = avl.iterator();
                float[] values = new float[indices.length];
                int i = 0;
                while (iter.hasNext()) {
                    long idx = iter.nextLong();
                    indices[i] = idx;
                    values[i] = op.apply(v1.get(idx), v2.get(idx));
                    i++;
                }
                while (i < indices.length) {
                    indices[i] = 0;
                    i++;
                }
                newStorage = new LongFloatSortedVectorStorage(v1.getDim(), (int) avl.size(), indices, values);
            } else {
                long[] v1Indices = v1.getStorage().getIndices();
                float[] v1Values = v1.getStorage().getValues();
                long size = v1.size();
                for (int i = 0; i < size; i++) {
                    long idx = v1Indices[i];
                    newStorage.set(idx, v1Values[i]);
                }
                ObjectIterator<Long2LongMap.Entry> iter = v2.getStorage().entryIterator();
                while (iter.hasNext()) {
                    Long2LongMap.Entry entry = iter.next();
                    long idx = entry.getLongKey();
                    newStorage.set(idx, op.apply(newStorage.get(idx), entry.getLongValue()));
                }
            }
        } else {
            if (op.isKeepStorage()) {
                long[] v1Indices = v1.getStorage().getIndices();
                long[] idxiter = v2.getStorage().indexIterator().toLongArray();
                long[] indices = new long[(int) (v1Size + v2Size)];
                System.arraycopy(v1Indices, 0, indices, 0, (int) v1.size());
                System.arraycopy(idxiter, 0, indices, (int) v1.size(), (int) v2.size());
                LongAVLTreeSet avl = new LongAVLTreeSet(indices);
                LongBidirectionalIterator iter = avl.iterator();
                float[] values = new float[indices.length];
                int i = 0;
                while (iter.hasNext()) {
                    long idx = iter.nextLong();
                    indices[i] = idx;
                    values[i] = op.apply(v1.get(idx), v2.get(idx));
                    i++;
                }
                while (i < indices.length) {
                    indices[i] = 0;
                    i++;
                }
                newStorage = new LongFloatSortedVectorStorage(v1.getDim(), (int) avl.size(), indices, values);
            } else {
                long[] v1Indices = v1.getStorage().getIndices();
                float[] v1Values = v1.getStorage().getValues();
                long size = v1.size();
                for (int i = 0; i < size; i++) {
                    long idx = v1Indices[i];
                    newStorage.set(idx, v1Values[i]);
                }
                ObjectIterator<Long2LongMap.Entry> iter = v2.getStorage().entryIterator();
                while (iter.hasNext()) {
                    Long2LongMap.Entry entry = iter.next();
                    long idx = entry.getLongKey();
                    newStorage.set(idx, op.apply(newStorage.get(idx), entry.getLongValue()));
                }
            }
        }
    } else if (v1.isSorted() && v2.isSorted()) {
        int v1Pointor = 0;
        int v2Pointor = 0;
        long size1 = v1.size();
        long size2 = v2.size();
        long[] v1Indices = v1.getStorage().getIndices();
        float[] v1Values = v1.getStorage().getValues();
        long[] v2Indices = v2.getStorage().getIndices();
        long[] v2Values = v2.getStorage().getValues();
        if ((size1 + size2) * Constant.intersectionCoeff >= Constant.sortedDenseStorageThreshold * v1.dim()) {
            if (op.isKeepStorage()) {
                // sorted
                long[] resIndices = newStorage.getIndices();
                float[] resValues = newStorage.getValues();
                int global = 0;
                while (v1Pointor < size1 && v2Pointor < size2) {
                    if (v1Indices[v1Pointor] == v2Indices[v2Pointor]) {
                        resIndices[global] = v1Indices[v1Pointor];
                        resValues[global] = op.apply(v1Values[v1Pointor], v2Values[v2Pointor]);
                        global++;
                        v1Pointor++;
                        v2Pointor++;
                    } else if (v1Indices[v1Pointor] < v2Indices[v2Pointor]) {
                        resIndices[global] = v1Indices[v1Pointor];
                        resValues[global] = v1Values[v1Pointor];
                        global++;
                        v1Pointor++;
                    } else {
                        // v1Indices[v1Pointor] > v2Indices[v2Pointor]
                        resIndices[global] = v2Indices[v2Pointor];
                        resValues[global] = op.apply(0, v2Values[v2Pointor]);
                        global++;
                        v2Pointor++;
                    }
                }
            } else {
                // dense
                while (v1Pointor < size1 || v2Pointor < size2) {
                    if ((v1Pointor < size1 && v2Pointor < size2) && v1Indices[v1Pointor] == v2Indices[v2Pointor]) {
                        newStorage.set(v1Indices[v1Pointor], op.apply(v1Values[v1Pointor], v2Values[v2Pointor]));
                        v1Pointor++;
                        v2Pointor++;
                    } else if ((v1Pointor < size1 && v2Pointor < size2) && v1Indices[v1Pointor] < v2Indices[v2Pointor] || (v1Pointor < size1 && v2Pointor >= size2)) {
                        newStorage.set(v1Indices[v1Pointor], v1Values[v1Pointor]);
                        v1Pointor++;
                    } else if (((v1Pointor < size1 && v2Pointor < size2) && v1Indices[v1Pointor] >= v2Indices[v2Pointor]) || (v1Pointor >= size1 && v2Pointor < size2)) {
                        newStorage.set(v2Indices[v2Pointor], op.apply(0, v2Values[v2Pointor]));
                        v2Pointor++;
                    }
                }
            }
        } else {
            if (op.isKeepStorage()) {
                long[] resIndices = newStorage.getIndices();
                float[] resValues = newStorage.getValues();
                int globalPointor = 0;
                while (v1Pointor < size1 && v2Pointor < size2) {
                    if (v1Indices[v1Pointor] == v2Indices[v2Pointor]) {
                        resIndices[globalPointor] = v1Indices[v1Pointor];
                        resValues[globalPointor] = op.apply(v1Values[v1Pointor], v2Values[v2Pointor]);
                        v1Pointor++;
                        v2Pointor++;
                        globalPointor++;
                    } else if (v1Indices[v1Pointor] < v2Indices[v2Pointor]) {
                        resIndices[globalPointor] = v1Indices[v1Pointor];
                        resValues[globalPointor] = v1Values[v1Pointor];
                        v1Pointor++;
                        globalPointor++;
                    } else {
                        // v1Indices[v1Pointor] > v2Indices[v2Pointor]
                        resIndices[globalPointor] = v2Indices[v2Pointor];
                        resValues[globalPointor] = op.apply(0, v2Values[v2Pointor]);
                        v2Pointor++;
                        globalPointor++;
                    }
                }
            } else {
                while (v1Pointor < size1 || v2Pointor < size2) {
                    if ((v1Pointor < size1 && v2Pointor < size2) && v1Indices[v1Pointor] == v2Indices[v2Pointor]) {
                        newStorage.set(v1Indices[v1Pointor], op.apply(v1Values[v1Pointor], v2Values[v2Pointor]));
                        v1Pointor++;
                        v2Pointor++;
                    } else if ((v1Pointor < size1 && v2Pointor < size2) && v1Indices[v1Pointor] < v2Indices[v2Pointor] || (v1Pointor < size1 && v2Pointor >= size2)) {
                        newStorage.set(v1Indices[v1Pointor], v1Values[v1Pointor]);
                        v1Pointor++;
                    } else if (((v1Pointor < size1 && v2Pointor < size2) && v1Indices[v1Pointor] >= v2Indices[v2Pointor]) || (v1Pointor >= size1 && v2Pointor < size2)) {
                        newStorage.set(v2Indices[v2Pointor], op.apply(0, v2Values[v2Pointor]));
                        v2Pointor++;
                    }
                }
            }
        }
    } else {
        throw new AngelException("The operation is not support!");
    }
    return new LongFloatVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), newStorage);
}

Example 50 with LongFloatVectorStorage

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

the class SimpleBinaryOutNonZAExecutor method apply.

public static Vector apply(LongFloatVector v1, LongFloatVector v2, Binary op) {
    LongFloatVectorStorage newStorage = (LongFloatVectorStorage) StorageSwitch.apply(v1, v2, op);
    if (v1.isSparse() && v2.isSparse()) {
        long v1Size = v1.size();
        long v2Size = v2.size();
        if (v1Size >= v2Size * Constant.sparseThreshold && (v1Size + v2Size) * Constant.intersectionCoeff <= Constant.sparseDenseStorageThreshold * v1.dim()) {
            // we gauss the indices of v2 maybe is a subset of v1, or overlap is very large
            ObjectIterator<Long2FloatMap.Entry> iter = v2.getStorage().entryIterator();
            while (iter.hasNext()) {
                Long2FloatMap.Entry entry = iter.next();
                long idx = entry.getLongKey();
                newStorage.set(idx, op.apply(v1.get(idx), entry.getFloatValue()));
            }
        } else if ((v1Size + v2Size) * Constant.intersectionCoeff >= Constant.sparseDenseStorageThreshold * v1.dim()) {
            // we gauss dense storage is more efficient
            ObjectIterator<Long2FloatMap.Entry> iter1 = v1.getStorage().entryIterator();
            while (iter1.hasNext()) {
                Long2FloatMap.Entry entry = iter1.next();
                long idx = entry.getLongKey();
                newStorage.set(idx, entry.getFloatValue());
            }
            ObjectIterator<Long2FloatMap.Entry> iter2 = v2.getStorage().entryIterator();
            while (iter2.hasNext()) {
                Long2FloatMap.Entry entry = iter2.next();
                long idx = entry.getLongKey();
                newStorage.set(idx, op.apply(v1.get(idx), entry.getFloatValue()));
            }
        } else {
            // to avoid multi-rehash
            int capacity = 1 << (32 - Integer.numberOfLeadingZeros((int) (v1.size() / 0.75)));
            if (v1.size() + v2.size() <= 1.5 * capacity) {
                // no rehashor one onle rehash is required, nothing to optimization
                ObjectIterator<Long2FloatMap.Entry> iter = v2.getStorage().entryIterator();
                while (iter.hasNext()) {
                    Long2FloatMap.Entry entry = iter.next();
                    long idx = entry.getLongKey();
                    newStorage.set(idx, op.apply(v1.get(idx), entry.getFloatValue()));
                }
            } else {
                // multi-rehash
                ObjectIterator<Long2FloatMap.Entry> iter1 = v1.getStorage().entryIterator();
                while (iter1.hasNext()) {
                    Long2FloatMap.Entry entry = iter1.next();
                    long idx = entry.getLongKey();
                    newStorage.set(idx, entry.getFloatValue());
                }
                ObjectIterator<Long2FloatMap.Entry> iter2 = v2.getStorage().entryIterator();
                while (iter2.hasNext()) {
                    Long2FloatMap.Entry entry = iter2.next();
                    long idx = entry.getLongKey();
                    newStorage.set(idx, op.apply(v1.get(idx), entry.getFloatValue()));
                }
            }
        }
    } else if (v1.isSparse() && v2.isSorted()) {
        long v1Size = v1.size();
        long v2Size = v2.size();
        if (v1Size >= v2Size * Constant.sparseThreshold && (v1Size + v2Size) * Constant.intersectionCoeff <= Constant.sparseDenseStorageThreshold * v1.dim()) {
            // we gauss the indices of v2 maybe is a subset of v1, or overlap is very large
            long[] v2Indices = v2.getStorage().getIndices();
            float[] v2Values = v2.getStorage().getValues();
            for (int i = 0; i < v2.size(); i++) {
                long idx = v2Indices[i];
                newStorage.set(idx, op.apply(v1.get(idx), v2Values[i]));
            }
        } else if ((v1Size + v2Size) * Constant.intersectionCoeff >= Constant.sparseDenseStorageThreshold * v1.dim()) {
            ObjectIterator<Long2FloatMap.Entry> iter1 = v1.getStorage().entryIterator();
            while (iter1.hasNext()) {
                Long2FloatMap.Entry entry = iter1.next();
                long idx = entry.getLongKey();
                newStorage.set(idx, entry.getFloatValue());
            }
            long[] v2Indices = v2.getStorage().getIndices();
            float[] v2Values = v2.getStorage().getValues();
            long size = v2.size();
            for (int i = 0; i < size; i++) {
                long idx = v2Indices[i];
                newStorage.set(idx, op.apply(v1.get(idx), v2Values[i]));
            }
        } else {
            // to avoid multi-rehash
            int capacity = 1 << (32 - Integer.numberOfLeadingZeros((int) (v1.size() / 0.75)));
            if (v1.size() + v2.size() <= 1.5 * capacity) {
                long[] v2Indices = v2.getStorage().getIndices();
                float[] v2Values = v2.getStorage().getValues();
                for (int i = 0; i < v2.size(); i++) {
                    long idx = v2Indices[i];
                    newStorage.set(idx, op.apply(v1.get(idx), v2Values[i]));
                }
            } else {
                ObjectIterator<Long2FloatMap.Entry> iter1 = v1.getStorage().entryIterator();
                while (iter1.hasNext()) {
                    Long2FloatMap.Entry entry = iter1.next();
                    long idx = entry.getLongKey();
                    newStorage.set(idx, entry.getFloatValue());
                }
                long[] v2Indices = v2.getStorage().getIndices();
                float[] v2Values = v2.getStorage().getValues();
                long size = v2.size();
                for (int i = 0; i < size; i++) {
                    long idx = v2Indices[i];
                    newStorage.set(idx, op.apply(v1.get(idx), v2Values[i]));
                }
            }
        }
    } else if (v1.isSorted() && v2.isSparse()) {
        long v1Size = v1.size();
        long v2Size = v2.size();
        if ((v1Size + v2Size) * Constant.intersectionCoeff >= Constant.sortedDenseStorageThreshold * v1.dim()) {
            if (op.isKeepStorage()) {
                long[] v1Indices = v1.getStorage().getIndices();
                long[] idxiter = v2.getStorage().indexIterator().toLongArray();
                long[] indices = new long[(int) (v1Size + v2Size)];
                System.arraycopy(v1Indices, 0, indices, 0, (int) v1.size());
                System.arraycopy(idxiter, 0, indices, (int) v1.size(), (int) v2.size());
                LongAVLTreeSet avl = new LongAVLTreeSet(indices);
                LongBidirectionalIterator iter = avl.iterator();
                float[] values = new float[indices.length];
                int i = 0;
                while (iter.hasNext()) {
                    long idx = iter.nextLong();
                    indices[i] = idx;
                    values[i] = op.apply(v1.get(idx), v2.get(idx));
                    i++;
                }
                while (i < indices.length) {
                    indices[i] = 0;
                    i++;
                }
                newStorage = new LongFloatSortedVectorStorage(v1.getDim(), (int) avl.size(), indices, values);
            } else {
                long[] v1Indices = v1.getStorage().getIndices();
                float[] v1Values = v1.getStorage().getValues();
                long size = v1.size();
                for (int i = 0; i < size; i++) {
                    long idx = v1Indices[i];
                    newStorage.set(idx, v1Values[i]);
                }
                ObjectIterator<Long2FloatMap.Entry> iter = v2.getStorage().entryIterator();
                while (iter.hasNext()) {
                    Long2FloatMap.Entry entry = iter.next();
                    long idx = entry.getLongKey();
                    newStorage.set(idx, op.apply(newStorage.get(idx), entry.getFloatValue()));
                }
            }
        } else {
            if (op.isKeepStorage()) {
                long[] v1Indices = v1.getStorage().getIndices();
                long[] idxiter = v2.getStorage().indexIterator().toLongArray();
                long[] indices = new long[(int) (v1Size + v2Size)];
                System.arraycopy(v1Indices, 0, indices, 0, (int) v1.size());
                System.arraycopy(idxiter, 0, indices, (int) v1.size(), (int) v2.size());
                LongAVLTreeSet avl = new LongAVLTreeSet(indices);
                LongBidirectionalIterator iter = avl.iterator();
                float[] values = new float[indices.length];
                int i = 0;
                while (iter.hasNext()) {
                    long idx = iter.nextLong();
                    indices[i] = idx;
                    values[i] = op.apply(v1.get(idx), v2.get(idx));
                    i++;
                }
                while (i < indices.length) {
                    indices[i] = 0;
                    i++;
                }
                newStorage = new LongFloatSortedVectorStorage(v1.getDim(), (int) avl.size(), indices, values);
            } else {
                long[] v1Indices = v1.getStorage().getIndices();
                float[] v1Values = v1.getStorage().getValues();
                long size = v1.size();
                for (int i = 0; i < size; i++) {
                    long idx = v1Indices[i];
                    newStorage.set(idx, v1Values[i]);
                }
                ObjectIterator<Long2FloatMap.Entry> iter = v2.getStorage().entryIterator();
                while (iter.hasNext()) {
                    Long2FloatMap.Entry entry = iter.next();
                    long idx = entry.getLongKey();
                    newStorage.set(idx, op.apply(newStorage.get(idx), entry.getFloatValue()));
                }
            }
        }
    } else if (v1.isSorted() && v2.isSorted()) {
        int v1Pointor = 0;
        int v2Pointor = 0;
        long size1 = v1.size();
        long size2 = v2.size();
        long[] v1Indices = v1.getStorage().getIndices();
        float[] v1Values = v1.getStorage().getValues();
        long[] v2Indices = v2.getStorage().getIndices();
        float[] v2Values = v2.getStorage().getValues();
        if ((size1 + size2) * Constant.intersectionCoeff >= Constant.sortedDenseStorageThreshold * v1.dim()) {
            if (op.isKeepStorage()) {
                // sorted
                long[] resIndices = newStorage.getIndices();
                float[] resValues = newStorage.getValues();
                int global = 0;
                while (v1Pointor < size1 && v2Pointor < size2) {
                    if (v1Indices[v1Pointor] == v2Indices[v2Pointor]) {
                        resIndices[global] = v1Indices[v1Pointor];
                        resValues[global] = op.apply(v1Values[v1Pointor], v2Values[v2Pointor]);
                        global++;
                        v1Pointor++;
                        v2Pointor++;
                    } else if (v1Indices[v1Pointor] < v2Indices[v2Pointor]) {
                        resIndices[global] = v1Indices[v1Pointor];
                        resValues[global] = v1Values[v1Pointor];
                        global++;
                        v1Pointor++;
                    } else {
                        // v1Indices[v1Pointor] > v2Indices[v2Pointor]
                        resIndices[global] = v2Indices[v2Pointor];
                        resValues[global] = op.apply(0, v2Values[v2Pointor]);
                        global++;
                        v2Pointor++;
                    }
                }
            } else {
                // dense
                while (v1Pointor < size1 || v2Pointor < size2) {
                    if ((v1Pointor < size1 && v2Pointor < size2) && v1Indices[v1Pointor] == v2Indices[v2Pointor]) {
                        newStorage.set(v1Indices[v1Pointor], op.apply(v1Values[v1Pointor], v2Values[v2Pointor]));
                        v1Pointor++;
                        v2Pointor++;
                    } else if ((v1Pointor < size1 && v2Pointor < size2) && v1Indices[v1Pointor] < v2Indices[v2Pointor] || (v1Pointor < size1 && v2Pointor >= size2)) {
                        newStorage.set(v1Indices[v1Pointor], v1Values[v1Pointor]);
                        v1Pointor++;
                    } else if (((v1Pointor < size1 && v2Pointor < size2) && v1Indices[v1Pointor] >= v2Indices[v2Pointor]) || (v1Pointor >= size1 && v2Pointor < size2)) {
                        newStorage.set(v2Indices[v2Pointor], op.apply(0, v2Values[v2Pointor]));
                        v2Pointor++;
                    }
                }
            }
        } else {
            if (op.isKeepStorage()) {
                long[] resIndices = newStorage.getIndices();
                float[] resValues = newStorage.getValues();
                int globalPointor = 0;
                while (v1Pointor < size1 && v2Pointor < size2) {
                    if (v1Indices[v1Pointor] == v2Indices[v2Pointor]) {
                        resIndices[globalPointor] = v1Indices[v1Pointor];
                        resValues[globalPointor] = op.apply(v1Values[v1Pointor], v2Values[v2Pointor]);
                        v1Pointor++;
                        v2Pointor++;
                        globalPointor++;
                    } else if (v1Indices[v1Pointor] < v2Indices[v2Pointor]) {
                        resIndices[globalPointor] = v1Indices[v1Pointor];
                        resValues[globalPointor] = v1Values[v1Pointor];
                        v1Pointor++;
                        globalPointor++;
                    } else {
                        // v1Indices[v1Pointor] > v2Indices[v2Pointor]
                        resIndices[globalPointor] = v2Indices[v2Pointor];
                        resValues[globalPointor] = op.apply(0, v2Values[v2Pointor]);
                        v2Pointor++;
                        globalPointor++;
                    }
                }
            } else {
                while (v1Pointor < size1 || v2Pointor < size2) {
                    if ((v1Pointor < size1 && v2Pointor < size2) && v1Indices[v1Pointor] == v2Indices[v2Pointor]) {
                        newStorage.set(v1Indices[v1Pointor], op.apply(v1Values[v1Pointor], v2Values[v2Pointor]));
                        v1Pointor++;
                        v2Pointor++;
                    } else if ((v1Pointor < size1 && v2Pointor < size2) && v1Indices[v1Pointor] < v2Indices[v2Pointor] || (v1Pointor < size1 && v2Pointor >= size2)) {
                        newStorage.set(v1Indices[v1Pointor], v1Values[v1Pointor]);
                        v1Pointor++;
                    } else if (((v1Pointor < size1 && v2Pointor < size2) && v1Indices[v1Pointor] >= v2Indices[v2Pointor]) || (v1Pointor >= size1 && v2Pointor < size2)) {
                        newStorage.set(v2Indices[v2Pointor], op.apply(0, v2Values[v2Pointor]));
                        v2Pointor++;
                    }
                }
            }
        }
    } else {
        throw new AngelException("The operation is not support!");
    }
    return new LongFloatVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), newStorage);
}