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Example 36 with IntDummyVector

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

the class MixedBinaryOutZAExecutor method apply.

private static Vector apply(CompIntDoubleVector v1, IntDummyVector v2, Binary op) {
    IntDoubleVector[] parts = v1.getPartitions();
    Storage[] resParts = StorageSwitch.applyComp(v1, v2, op);
    if (v1.size() > v2.size()) {
        int subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
        int[] v2Indices = v2.getIndices();
        for (int i = 0; i < v2Indices.length; i++) {
            int idx = v2Indices[i];
            int pidx = (int) (idx / subDim);
            int subidx = idx % subDim;
            if (parts[pidx].hasKey(subidx)) {
                ((IntDoubleVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), 1));
            }
        }
    } else {
        int base = 0;
        for (int i = 0; i < parts.length; i++) {
            IntDoubleVector part = parts[i];
            IntDoubleVectorStorage resPart = (IntDoubleVectorStorage) resParts[i];
            if (part.isDense()) {
                double[] partValues = part.getStorage().getValues();
                double[] resPartValues = resPart.getValues();
                for (int j = 0; j < partValues.length; j++) {
                    if (v2.hasKey(j + base)) {
                        resPartValues[j] = op.apply(partValues[j], v2.get(j + base));
                    }
                }
            } else if (part.isSparse()) {
                ObjectIterator<Int2DoubleMap.Entry> piter = part.getStorage().entryIterator();
                while (piter.hasNext()) {
                    Int2DoubleMap.Entry entry = piter.next();
                    int idx = entry.getIntKey();
                    if (v2.hasKey(idx + base)) {
                        resPart.set(idx, op.apply(entry.getDoubleValue(), v2.get(idx + base)));
                    }
                }
            } else {
                // sorted
                if (op.isKeepStorage()) {
                    int[] partIndices = part.getStorage().getIndices();
                    double[] partValues = part.getStorage().getValues();
                    int[] resPartIndices = resPart.getIndices();
                    double[] resPartValues = resPart.getValues();
                    for (int j = 0; j < partIndices.length; j++) {
                        int idx = partIndices[j];
                        if (v2.hasKey(idx + base)) {
                            resPartIndices[j] = idx;
                            resPartValues[j] = op.apply(partValues[j], v2.get(idx + base));
                        }
                    }
                } else {
                    int[] partIndices = part.getStorage().getIndices();
                    double[] partValues = part.getStorage().getValues();
                    for (int j = 0; j < partIndices.length; j++) {
                        int idx = partIndices[j];
                        if (v2.hasKey(idx + base)) {
                            resPart.set(idx, op.apply(partValues[j], v2.get(idx + base)));
                        }
                    }
                }
            }
            base += part.getDim();
        }
    }
    IntDoubleVector[] res = new IntDoubleVector[parts.length];
    int i = 0;
    for (IntDoubleVector part : parts) {
        res[i] = new IntDoubleVector(part.getMatrixId(), part.getRowId(), part.getClock(), part.getDim(), (IntDoubleVectorStorage) resParts[i]);
        i++;
    }
    return new CompIntDoubleVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), res, v1.getSubDim());
}
Also used : IntIntVectorStorage(com.tencent.angel.ml.math2.storage.IntIntVectorStorage) Storage(com.tencent.angel.ml.math2.storage.Storage) LongIntVectorStorage(com.tencent.angel.ml.math2.storage.LongIntVectorStorage) IntFloatVectorStorage(com.tencent.angel.ml.math2.storage.IntFloatVectorStorage) LongDoubleVectorStorage(com.tencent.angel.ml.math2.storage.LongDoubleVectorStorage) IntDoubleVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleVectorStorage) LongLongVectorStorage(com.tencent.angel.ml.math2.storage.LongLongVectorStorage) LongFloatVectorStorage(com.tencent.angel.ml.math2.storage.LongFloatVectorStorage) IntLongVectorStorage(com.tencent.angel.ml.math2.storage.IntLongVectorStorage) IntDoubleVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleVectorStorage) Int2DoubleMap(it.unimi.dsi.fastutil.ints.Int2DoubleMap) CompIntDoubleVector(com.tencent.angel.ml.math2.vector.CompIntDoubleVector) CompIntDoubleVector(com.tencent.angel.ml.math2.vector.CompIntDoubleVector) IntDoubleVector(com.tencent.angel.ml.math2.vector.IntDoubleVector) ObjectIterator(it.unimi.dsi.fastutil.objects.ObjectIterator)

Example 37 with IntDummyVector

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

the class MixedBinaryOutZAExecutor method apply.

private static Vector apply(CompIntFloatVector v1, IntDummyVector v2, Binary op) {
    IntFloatVector[] parts = v1.getPartitions();
    Storage[] resParts = StorageSwitch.applyComp(v1, v2, op);
    if (v1.size() > v2.size()) {
        int subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
        int[] v2Indices = v2.getIndices();
        for (int i = 0; i < v2Indices.length; i++) {
            int idx = v2Indices[i];
            int pidx = (int) (idx / subDim);
            int subidx = idx % subDim;
            if (parts[pidx].hasKey(subidx)) {
                ((IntFloatVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), 1));
            }
        }
    } else {
        int base = 0;
        for (int i = 0; i < parts.length; i++) {
            IntFloatVector part = parts[i];
            IntFloatVectorStorage resPart = (IntFloatVectorStorage) resParts[i];
            if (part.isDense()) {
                float[] partValues = part.getStorage().getValues();
                float[] resPartValues = resPart.getValues();
                for (int j = 0; j < partValues.length; j++) {
                    if (v2.hasKey(j + base)) {
                        resPartValues[j] = op.apply(partValues[j], v2.get(j + base));
                    }
                }
            } else if (part.isSparse()) {
                ObjectIterator<Int2FloatMap.Entry> piter = part.getStorage().entryIterator();
                while (piter.hasNext()) {
                    Int2FloatMap.Entry entry = piter.next();
                    int idx = entry.getIntKey();
                    if (v2.hasKey(idx + base)) {
                        resPart.set(idx, op.apply(entry.getFloatValue(), v2.get(idx + base)));
                    }
                }
            } else {
                // sorted
                if (op.isKeepStorage()) {
                    int[] partIndices = part.getStorage().getIndices();
                    float[] partValues = part.getStorage().getValues();
                    int[] resPartIndices = resPart.getIndices();
                    float[] resPartValues = resPart.getValues();
                    for (int j = 0; j < partIndices.length; j++) {
                        int idx = partIndices[j];
                        if (v2.hasKey(idx + base)) {
                            resPartIndices[j] = idx;
                            resPartValues[j] = op.apply(partValues[j], v2.get(idx + base));
                        }
                    }
                } else {
                    int[] partIndices = part.getStorage().getIndices();
                    float[] partValues = part.getStorage().getValues();
                    for (int j = 0; j < partIndices.length; j++) {
                        int idx = partIndices[j];
                        if (v2.hasKey(idx + base)) {
                            resPart.set(idx, op.apply(partValues[j], v2.get(idx + base)));
                        }
                    }
                }
            }
            base += part.getDim();
        }
    }
    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());
}
Also used : CompIntFloatVector(com.tencent.angel.ml.math2.vector.CompIntFloatVector) IntFloatVectorStorage(com.tencent.angel.ml.math2.storage.IntFloatVectorStorage) IntIntVectorStorage(com.tencent.angel.ml.math2.storage.IntIntVectorStorage) Storage(com.tencent.angel.ml.math2.storage.Storage) LongIntVectorStorage(com.tencent.angel.ml.math2.storage.LongIntVectorStorage) IntFloatVectorStorage(com.tencent.angel.ml.math2.storage.IntFloatVectorStorage) LongDoubleVectorStorage(com.tencent.angel.ml.math2.storage.LongDoubleVectorStorage) IntDoubleVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleVectorStorage) LongLongVectorStorage(com.tencent.angel.ml.math2.storage.LongLongVectorStorage) LongFloatVectorStorage(com.tencent.angel.ml.math2.storage.LongFloatVectorStorage) IntLongVectorStorage(com.tencent.angel.ml.math2.storage.IntLongVectorStorage) Int2FloatMap(it.unimi.dsi.fastutil.ints.Int2FloatMap) CompIntFloatVector(com.tencent.angel.ml.math2.vector.CompIntFloatVector) IntFloatVector(com.tencent.angel.ml.math2.vector.IntFloatVector) ObjectIterator(it.unimi.dsi.fastutil.objects.ObjectIterator)

Example 38 with IntDummyVector

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

the class SimpleBinaryOutNonZAExecutor method apply.

public static Vector apply(IntDoubleVector v1, IntDummyVector v2, Binary op) {
    IntDoubleVectorStorage newStorage = (IntDoubleVectorStorage) StorageSwitch.apply(v1, v2, op);
    if (v1.isDense()) {
        double[] resValues = newStorage.getValues();
        int[] v2Indices = v2.getIndices();
        for (int idx : v2Indices) {
            resValues[idx] = op.apply(resValues[idx], 1);
        }
    } else if (v1.isSparse()) {
        int[] v2Indices = v2.getIndices();
        if (((v1.size() + v2.size()) * Constant.intersectionCoeff > Constant.sparseDenseStorageThreshold * v1.getDim())) {
            double[] resValues = newStorage.getValues();
            ObjectIterator<Int2DoubleMap.Entry> iter = v1.getStorage().entryIterator();
            while (iter.hasNext()) {
                Int2DoubleMap.Entry entry = iter.next();
                newStorage.set(entry.getIntKey(), entry.getDoubleValue());
            }
            for (int 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) {
                int size = v2.size();
                for (int i = 0; i < size; i++) {
                    int idx = v2Indices[i];
                    newStorage.set(idx, op.apply(v1.get(idx), 1));
                }
            } else {
                ObjectIterator<Int2DoubleMap.Entry> iter1 = v1.getStorage().entryIterator();
                while (iter1.hasNext()) {
                    Int2DoubleMap.Entry entry = iter1.next();
                    int idx = entry.getIntKey();
                    newStorage.set(idx, entry.getDoubleValue());
                }
                int size = v2.size();
                for (int i = 0; i < size; i++) {
                    int idx = v2Indices[i];
                    newStorage.set(idx, op.apply(v1.get(idx), 1));
                }
            }
        }
    } else {
        // sorted
        int[] v1Indices = v1.getStorage().getIndices();
        int[] v2Indices = v2.getIndices();
        if (!op.isKeepStorage() && ((v1.size() + v2.size()) * Constant.intersectionCoeff > Constant.sortedDenseStorageThreshold * v1.getDim())) {
            double[] v1Values = v1.getStorage().getValues();
            int 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++) {
                int idx = v2Indices[i];
                newStorage.set(idx, op.apply(newStorage.get(idx), 1));
            }
        } else {
            int v1Pointor = 0;
            int v2Pointor = 0;
            int size1 = v1.size();
            int size2 = v2.size();
            double[] 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 IntDoubleVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), newStorage);
}
Also used : IntDoubleVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleVectorStorage) Int2DoubleMap(it.unimi.dsi.fastutil.ints.Int2DoubleMap) ObjectIterator(it.unimi.dsi.fastutil.objects.ObjectIterator) IntDoubleVector(com.tencent.angel.ml.math2.vector.IntDoubleVector)

Example 39 with IntDummyVector

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

the class SimpleBinaryOutNonZAExecutor method apply.

public static Vector apply(IntLongVector v1, IntDummyVector v2, Binary op) {
    IntLongVectorStorage newStorage = (IntLongVectorStorage) StorageSwitch.apply(v1, v2, op);
    if (v1.isDense()) {
        long[] resValues = newStorage.getValues();
        int[] v2Indices = v2.getIndices();
        for (int idx : v2Indices) {
            resValues[idx] = op.apply(resValues[idx], 1);
        }
    } else if (v1.isSparse()) {
        int[] v2Indices = v2.getIndices();
        if (((v1.size() + v2.size()) * Constant.intersectionCoeff > Constant.sparseDenseStorageThreshold * v1.getDim())) {
            long[] resValues = newStorage.getValues();
            ObjectIterator<Int2LongMap.Entry> iter = v1.getStorage().entryIterator();
            while (iter.hasNext()) {
                Int2LongMap.Entry entry = iter.next();
                newStorage.set(entry.getIntKey(), entry.getLongValue());
            }
            for (int 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) {
                int size = v2.size();
                for (int i = 0; i < size; i++) {
                    int idx = v2Indices[i];
                    newStorage.set(idx, op.apply(v1.get(idx), 1));
                }
            } else {
                ObjectIterator<Int2LongMap.Entry> iter1 = v1.getStorage().entryIterator();
                while (iter1.hasNext()) {
                    Int2LongMap.Entry entry = iter1.next();
                    int idx = entry.getIntKey();
                    newStorage.set(idx, entry.getLongValue());
                }
                int size = v2.size();
                for (int i = 0; i < size; i++) {
                    int idx = v2Indices[i];
                    newStorage.set(idx, op.apply(v1.get(idx), 1));
                }
            }
        }
    } else {
        // sorted
        int[] v1Indices = v1.getStorage().getIndices();
        int[] v2Indices = v2.getIndices();
        if (!op.isKeepStorage() && ((v1.size() + v2.size()) * Constant.intersectionCoeff > Constant.sortedDenseStorageThreshold * v1.getDim())) {
            long[] v1Values = v1.getStorage().getValues();
            int 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++) {
                int idx = v2Indices[i];
                newStorage.set(idx, op.apply(newStorage.get(idx), 1));
            }
        } else {
            int v1Pointor = 0;
            int v2Pointor = 0;
            int size1 = v1.size();
            int size2 = v2.size();
            long[] 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 IntLongVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), newStorage);
}
Also used : IntLongVector(com.tencent.angel.ml.math2.vector.IntLongVector) IntLongVectorStorage(com.tencent.angel.ml.math2.storage.IntLongVectorStorage) Int2LongMap(it.unimi.dsi.fastutil.ints.Int2LongMap) ObjectIterator(it.unimi.dsi.fastutil.objects.ObjectIterator)

Example 40 with IntDummyVector

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

the class SimpleBinaryOutAllExecutor method apply.

public static Vector apply(IntIntVector v1, IntDummyVector v2, Binary op) {
    IntIntVector res;
    if (v1.isDense()) {
        res = v1.copy();
        int[] resValues = res.getStorage().getValues();
        for (int i = 0; i < v1.getDim(); i++) {
            resValues[i] = op.apply(resValues[i], v2.get(i));
        }
    } else if (v1.isSparse()) {
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            IntIntVectorStorage newStorage = v1.getStorage().emptyDense();
            int[] resValues = newStorage.getValues();
            ObjectIterator<Int2IntMap.Entry> iter1 = v1.getStorage().entryIterator();
            while (iter1.hasNext()) {
                Int2IntMap.Entry entry = iter1.next();
                int idx = entry.getIntKey();
                resValues[idx] = entry.getIntValue();
            }
            for (int i = 0; i < v1.getDim(); i++) {
                resValues[i] = op.apply(resValues[i], v2.get(i));
            }
            res = new IntIntVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), newStorage);
        }
    } else {
        // sorted
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            IntIntVectorStorage newStorage = v1.getStorage().emptyDense();
            int[] resValues = newStorage.getValues();
            int[] v1Indices = v1.getStorage().getIndices();
            int[] v1Values = v1.getStorage().getValues();
            int size = v1.size();
            for (int i = 0; i < size; i++) {
                int idx = v1Indices[i];
                resValues[idx] = v1Values[i];
            }
            for (int i = 0; i < v1.getDim(); i++) {
                resValues[i] = op.apply(resValues[i], v2.get(i));
            }
            res = new IntIntVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), newStorage);
        }
    }
    return res;
}
Also used : AngelException(com.tencent.angel.exception.AngelException) IntIntVectorStorage(com.tencent.angel.ml.math2.storage.IntIntVectorStorage) IntIntVector(com.tencent.angel.ml.math2.vector.IntIntVector) Int2IntMap(it.unimi.dsi.fastutil.ints.Int2IntMap) ObjectIterator(it.unimi.dsi.fastutil.objects.ObjectIterator)

Aggregations

IntDoubleVectorStorage (com.tencent.angel.ml.math2.storage.IntDoubleVectorStorage)26 IntFloatVectorStorage (com.tencent.angel.ml.math2.storage.IntFloatVectorStorage)26 IntIntVectorStorage (com.tencent.angel.ml.math2.storage.IntIntVectorStorage)26 IntLongVectorStorage (com.tencent.angel.ml.math2.storage.IntLongVectorStorage)26 LongDoubleVectorStorage (com.tencent.angel.ml.math2.storage.LongDoubleVectorStorage)24 LongFloatVectorStorage (com.tencent.angel.ml.math2.storage.LongFloatVectorStorage)24 LongIntVectorStorage (com.tencent.angel.ml.math2.storage.LongIntVectorStorage)24 LongLongVectorStorage (com.tencent.angel.ml.math2.storage.LongLongVectorStorage)24 Storage (com.tencent.angel.ml.math2.storage.Storage)24 ObjectIterator (it.unimi.dsi.fastutil.objects.ObjectIterator)18 IntDoubleSortedVectorStorage (com.tencent.angel.ml.math2.storage.IntDoubleSortedVectorStorage)16 IntDoubleSparseVectorStorage (com.tencent.angel.ml.math2.storage.IntDoubleSparseVectorStorage)16 IntFloatSortedVectorStorage (com.tencent.angel.ml.math2.storage.IntFloatSortedVectorStorage)16 IntFloatSparseVectorStorage (com.tencent.angel.ml.math2.storage.IntFloatSparseVectorStorage)16 IntIntSortedVectorStorage (com.tencent.angel.ml.math2.storage.IntIntSortedVectorStorage)16 IntIntSparseVectorStorage (com.tencent.angel.ml.math2.storage.IntIntSparseVectorStorage)16 IntLongSortedVectorStorage (com.tencent.angel.ml.math2.storage.IntLongSortedVectorStorage)16 IntLongSparseVectorStorage (com.tencent.angel.ml.math2.storage.IntLongSparseVectorStorage)16 LongDoubleSortedVectorStorage (com.tencent.angel.ml.math2.storage.LongDoubleSortedVectorStorage)16 LongDoubleSparseVectorStorage (com.tencent.angel.ml.math2.storage.LongDoubleSparseVectorStorage)16