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Example 66 with ObjectIterator

use of it.unimi.dsi.fastutil.objects.ObjectIterator in project angel by Tencent.

the class MixedBinaryOutZAExecutor method apply.

private static Vector apply(CompLongDoubleVector v1, LongDummyVector v2, Binary op) {
    LongDoubleVector[] parts = v1.getPartitions();
    Storage[] resParts = StorageSwitch.applyComp(v1, v2, op);
    if (v1.size() > v2.size()) {
        long subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
        long[] v2Indices = v2.getIndices();
        for (int i = 0; i < v2Indices.length; i++) {
            long idx = v2Indices[i];
            int pidx = (int) (idx / subDim);
            long subidx = idx % subDim;
            if (parts[pidx].hasKey(subidx)) {
                ((LongDoubleVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), 1));
            }
        }
    } else {
        long base = 0;
        for (int i = 0; i < parts.length; i++) {
            LongDoubleVector part = parts[i];
            LongDoubleVectorStorage resPart = (LongDoubleVectorStorage) 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<Long2DoubleMap.Entry> piter = part.getStorage().entryIterator();
                while (piter.hasNext()) {
                    Long2DoubleMap.Entry entry = piter.next();
                    long idx = entry.getLongKey();
                    if (v2.hasKey(idx + base)) {
                        resPart.set(idx, op.apply(entry.getDoubleValue(), v2.get(idx + base)));
                    }
                }
            } else {
                // sorted
                if (op.isKeepStorage()) {
                    long[] partIndices = part.getStorage().getIndices();
                    double[] partValues = part.getStorage().getValues();
                    long[] resPartIndices = resPart.getIndices();
                    double[] resPartValues = resPart.getValues();
                    for (int j = 0; j < partIndices.length; j++) {
                        long idx = partIndices[j];
                        if (v2.hasKey(idx + base)) {
                            resPartIndices[j] = idx;
                            resPartValues[j] = op.apply(partValues[j], v2.get(idx + base));
                        }
                    }
                } else {
                    long[] partIndices = part.getStorage().getIndices();
                    double[] partValues = part.getStorage().getValues();
                    for (int j = 0; j < partIndices.length; j++) {
                        long idx = partIndices[j];
                        if (v2.hasKey(idx + base)) {
                            resPart.set(idx, op.apply(partValues[j], v2.get(idx + base)));
                        }
                    }
                }
            }
            base += part.getDim();
        }
    }
    LongDoubleVector[] res = new LongDoubleVector[parts.length];
    int i = 0;
    for (LongDoubleVector part : parts) {
        res[i] = new LongDoubleVector(part.getMatrixId(), part.getRowId(), part.getClock(), part.getDim(), (LongDoubleVectorStorage) resParts[i]);
        i++;
    }
    return new CompLongDoubleVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), res, v1.getSubDim());
}
Also used : Long2DoubleMap(it.unimi.dsi.fastutil.longs.Long2DoubleMap) LongDoubleVectorStorage(com.tencent.angel.ml.math2.storage.LongDoubleVectorStorage) ObjectIterator(it.unimi.dsi.fastutil.objects.ObjectIterator) CompLongDoubleVector(com.tencent.angel.ml.math2.vector.CompLongDoubleVector) 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) LongDoubleVector(com.tencent.angel.ml.math2.vector.LongDoubleVector) CompLongDoubleVector(com.tencent.angel.ml.math2.vector.CompLongDoubleVector)

Example 67 with ObjectIterator

use of it.unimi.dsi.fastutil.objects.ObjectIterator in project angel by Tencent.

the class MixedBinaryOutZAExecutor method apply.

private static Vector apply(CompLongFloatVector v1, LongIntVector v2, Binary op) {
    LongFloatVector[] parts = v1.getPartitions();
    Storage[] resParts = StorageSwitch.applyComp(v1, v2, op);
    if (v2.isSparse()) {
        ObjectIterator<Long2IntMap.Entry> iter = v2.getStorage().entryIterator();
        if (v1.size() > v2.size()) {
            long subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
            while (iter.hasNext()) {
                Long2IntMap.Entry entry = iter.next();
                long idx = entry.getLongKey();
                int pidx = (int) (idx / subDim);
                long subidx = idx % subDim;
                if (parts[pidx].hasKey(subidx)) {
                    ((LongFloatVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), entry.getIntValue()));
                }
            }
        } else {
            long base = 0;
            for (int i = 0; i < parts.length; i++) {
                LongFloatVector part = parts[i];
                LongFloatVectorStorage resPart = (LongFloatVectorStorage) 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<Long2FloatMap.Entry> piter = part.getStorage().entryIterator();
                    while (piter.hasNext()) {
                        Long2FloatMap.Entry entry = piter.next();
                        long idx = entry.getLongKey();
                        if (v2.hasKey(idx + base)) {
                            resPart.set(idx, op.apply(entry.getFloatValue(), v2.get(idx + base)));
                        }
                    }
                } else {
                    // sorted
                    if (op.isKeepStorage()) {
                        long[] partIndices = part.getStorage().getIndices();
                        float[] partValues = part.getStorage().getValues();
                        long[] resPartIndices = resPart.getIndices();
                        float[] resPartValues = resPart.getValues();
                        for (int j = 0; j < partIndices.length; j++) {
                            long idx = partIndices[j];
                            if (v2.hasKey(idx + base)) {
                                resPartIndices[j] = idx;
                                resPartValues[j] = op.apply(partValues[j], v2.get(idx + base));
                            }
                        }
                    } else {
                        long[] partIndices = part.getStorage().getIndices();
                        float[] partValues = part.getStorage().getValues();
                        for (int j = 0; j < partIndices.length; j++) {
                            long idx = partIndices[j];
                            if (v2.hasKey(idx + base)) {
                                resPart.set(idx, op.apply(partValues[j], v2.get(idx + base)));
                            }
                        }
                    }
                }
                base += part.getDim();
            }
        }
    } else {
        // sorted
        if (v1.size() > v2.size()) {
            long subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
            long[] v2Indices = v2.getStorage().getIndices();
            int[] v2Values = v2.getStorage().getValues();
            for (int i = 0; i < v2Indices.length; i++) {
                long idx = v2Indices[i];
                int pidx = (int) (idx / subDim);
                long subidx = idx % subDim;
                if (parts[pidx].hasKey(subidx)) {
                    ((LongFloatVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), v2Values[i]));
                }
            }
        } else {
            long base = 0;
            for (int i = 0; i < parts.length; i++) {
                LongFloatVector part = parts[i];
                LongFloatVectorStorage resPart = (LongFloatVectorStorage) 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<Long2FloatMap.Entry> piter = part.getStorage().entryIterator();
                    while (piter.hasNext()) {
                        Long2FloatMap.Entry entry = piter.next();
                        long idx = entry.getLongKey();
                        if (v2.hasKey(idx + base)) {
                            resPart.set(idx, op.apply(entry.getFloatValue(), v2.get(idx + base)));
                        }
                    }
                } else {
                    // sorted
                    if (op.isKeepStorage()) {
                        long[] partIndices = part.getStorage().getIndices();
                        float[] partValues = part.getStorage().getValues();
                        long[] resPartIndices = resPart.getIndices();
                        float[] resPartValues = resPart.getValues();
                        for (int j = 0; j < partIndices.length; j++) {
                            long idx = partIndices[j];
                            if (v2.hasKey(idx + base)) {
                                resPartIndices[j] = idx;
                                resPartValues[j] = op.apply(partValues[j], v2.get(idx + base));
                            }
                        }
                    } else {
                        long[] partIndices = part.getStorage().getIndices();
                        float[] partValues = part.getStorage().getValues();
                        for (int j = 0; j < partIndices.length; j++) {
                            long idx = partIndices[j];
                            if (v2.hasKey(idx + base)) {
                                resPart.set(idx, op.apply(partValues[j], v2.get(idx + base)));
                            }
                        }
                    }
                }
                base += part.getDim();
            }
        }
    }
    LongFloatVector[] res = new LongFloatVector[parts.length];
    int i = 0;
    for (LongFloatVector part : parts) {
        res[i] = new LongFloatVector(part.getMatrixId(), part.getRowId(), part.getClock(), part.getDim(), (LongFloatVectorStorage) resParts[i]);
        i++;
    }
    return new CompLongFloatVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), res, v1.getSubDim());
}
Also used : LongFloatVectorStorage(com.tencent.angel.ml.math2.storage.LongFloatVectorStorage) Long2IntMap(it.unimi.dsi.fastutil.longs.Long2IntMap) LongFloatVector(com.tencent.angel.ml.math2.vector.LongFloatVector) CompLongFloatVector(com.tencent.angel.ml.math2.vector.CompLongFloatVector) ObjectIterator(it.unimi.dsi.fastutil.objects.ObjectIterator) CompLongFloatVector(com.tencent.angel.ml.math2.vector.CompLongFloatVector) 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) Long2FloatMap(it.unimi.dsi.fastutil.longs.Long2FloatMap)

Example 68 with ObjectIterator

use of it.unimi.dsi.fastutil.objects.ObjectIterator in project angel by Tencent.

the class MixedBinaryOutZAExecutor method apply.

private static Vector apply(CompIntFloatVector v1, IntLongVector v2, Binary op) {
    IntFloatVector[] parts = v1.getPartitions();
    Storage[] resParts = StorageSwitch.applyComp(v1, v2, op);
    if (v2.isDense()) {
        int base = 0;
        long[] v2Values = v2.getStorage().getValues();
        for (int i = 0; i < parts.length; i++) {
            IntFloatVector part = parts[i];
            IntFloatVectorStorage resPart = (IntFloatVectorStorage) resParts[i];
            if (part.isDense()) {
                float[] resPartValues = resPart.getValues();
                float[] partValues = part.getStorage().getValues();
                for (int j = 0; j < resPartValues.length; j++) {
                    resPartValues[j] = op.apply(partValues[j], v2Values[base + j]);
                }
            } else if (part.isSparse()) {
                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 {
                // sorted
                if (op.isKeepStorage()) {
                    int[] resPartIndices = resPart.getIndices();
                    float[] resPartValues = resPart.getValues();
                    int[] partIndices = part.getStorage().getIndices();
                    float[] partValues = part.getStorage().getValues();
                    for (int j = 0; j < partIndices.length; j++) {
                        int idx = partIndices[j];
                        resPartIndices[j] = idx;
                        resPartValues[j] = op.apply(partValues[j], v2Values[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];
                        resPart.set(idx, op.apply(partValues[j], v2Values[idx + base]));
                    }
                }
            }
            base += part.getDim();
        }
    } else if (v2.isSparse()) {
        ObjectIterator<Int2LongMap.Entry> iter = v2.getStorage().entryIterator();
        if (v1.size() > v2.size()) {
            int subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
            while (iter.hasNext()) {
                Int2LongMap.Entry entry = iter.next();
                int idx = entry.getIntKey();
                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), entry.getLongValue()));
                }
            }
        } 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();
            }
        }
    } else {
        // sorted
        if (v1.size() > v2.size()) {
            int subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
            int[] v2Indices = v2.getStorage().getIndices();
            long[] v2Values = v2.getStorage().getValues();
            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), v2Values[i]));
                }
            }
        } 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) IntFloatVector(com.tencent.angel.ml.math2.vector.IntFloatVector) ObjectIterator(it.unimi.dsi.fastutil.objects.ObjectIterator) 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) Int2LongMap(it.unimi.dsi.fastutil.ints.Int2LongMap)

Example 69 with ObjectIterator

use of it.unimi.dsi.fastutil.objects.ObjectIterator in project angel by Tencent.

the class MixedBinaryOutZAExecutor method apply.

private static Vector apply(CompIntDoubleVector v1, IntLongVector v2, Binary op) {
    IntDoubleVector[] parts = v1.getPartitions();
    Storage[] resParts = StorageSwitch.applyComp(v1, v2, op);
    if (v2.isDense()) {
        int base = 0;
        long[] v2Values = v2.getStorage().getValues();
        for (int i = 0; i < parts.length; i++) {
            IntDoubleVector part = parts[i];
            IntDoubleVectorStorage resPart = (IntDoubleVectorStorage) resParts[i];
            if (part.isDense()) {
                double[] resPartValues = resPart.getValues();
                double[] partValues = part.getStorage().getValues();
                for (int j = 0; j < resPartValues.length; j++) {
                    resPartValues[j] = op.apply(partValues[j], v2Values[base + j]);
                }
            } else if (part.isSparse()) {
                ObjectIterator<Int2DoubleMap.Entry> iter = part.getStorage().entryIterator();
                while (iter.hasNext()) {
                    Int2DoubleMap.Entry entry = iter.next();
                    int idx = entry.getIntKey();
                    resPart.set(idx, op.apply(entry.getDoubleValue(), v2Values[idx + base]));
                }
            } else {
                // sorted
                if (op.isKeepStorage()) {
                    int[] resPartIndices = resPart.getIndices();
                    double[] resPartValues = resPart.getValues();
                    int[] partIndices = part.getStorage().getIndices();
                    double[] partValues = part.getStorage().getValues();
                    for (int j = 0; j < partIndices.length; j++) {
                        int idx = partIndices[j];
                        resPartIndices[j] = idx;
                        resPartValues[j] = op.apply(partValues[j], v2Values[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];
                        resPart.set(idx, op.apply(partValues[j], v2Values[idx + base]));
                    }
                }
            }
            base += part.getDim();
        }
    } else if (v2.isSparse()) {
        ObjectIterator<Int2LongMap.Entry> iter = v2.getStorage().entryIterator();
        if (v1.size() > v2.size()) {
            int subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
            while (iter.hasNext()) {
                Int2LongMap.Entry entry = iter.next();
                int idx = entry.getIntKey();
                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), entry.getLongValue()));
                }
            }
        } 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();
            }
        }
    } else {
        // sorted
        if (v1.size() > v2.size()) {
            int subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
            int[] v2Indices = v2.getStorage().getIndices();
            long[] v2Values = v2.getStorage().getValues();
            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), v2Values[i]));
                }
            }
        } 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 : Int2DoubleMap(it.unimi.dsi.fastutil.ints.Int2DoubleMap) CompIntDoubleVector(com.tencent.angel.ml.math2.vector.CompIntDoubleVector) IntDoubleVector(com.tencent.angel.ml.math2.vector.IntDoubleVector) ObjectIterator(it.unimi.dsi.fastutil.objects.ObjectIterator) 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) Int2LongMap(it.unimi.dsi.fastutil.ints.Int2LongMap) CompIntDoubleVector(com.tencent.angel.ml.math2.vector.CompIntDoubleVector)

Example 70 with ObjectIterator

use of it.unimi.dsi.fastutil.objects.ObjectIterator in project angel by Tencent.

the class MixedBinaryOutZAExecutor method apply.

private static Vector apply(CompLongFloatVector v1, LongFloatVector v2, Binary op) {
    LongFloatVector[] parts = v1.getPartitions();
    Storage[] resParts = StorageSwitch.applyComp(v1, v2, op);
    if (v2.isSparse()) {
        ObjectIterator<Long2FloatMap.Entry> iter = v2.getStorage().entryIterator();
        if (v1.size() > v2.size()) {
            long subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
            while (iter.hasNext()) {
                Long2FloatMap.Entry entry = iter.next();
                long idx = entry.getLongKey();
                int pidx = (int) (idx / subDim);
                long subidx = idx % subDim;
                if (parts[pidx].hasKey(subidx)) {
                    ((LongFloatVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), entry.getFloatValue()));
                }
            }
        } else {
            long base = 0;
            for (int i = 0; i < parts.length; i++) {
                LongFloatVector part = parts[i];
                LongFloatVectorStorage resPart = (LongFloatVectorStorage) 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<Long2FloatMap.Entry> piter = part.getStorage().entryIterator();
                    while (piter.hasNext()) {
                        Long2FloatMap.Entry entry = piter.next();
                        long idx = entry.getLongKey();
                        if (v2.hasKey(idx + base)) {
                            resPart.set(idx, op.apply(entry.getFloatValue(), v2.get(idx + base)));
                        }
                    }
                } else {
                    // sorted
                    if (op.isKeepStorage()) {
                        long[] partIndices = part.getStorage().getIndices();
                        float[] partValues = part.getStorage().getValues();
                        long[] resPartIndices = resPart.getIndices();
                        float[] resPartValues = resPart.getValues();
                        for (int j = 0; j < partIndices.length; j++) {
                            long idx = partIndices[j];
                            if (v2.hasKey(idx + base)) {
                                resPartIndices[j] = idx;
                                resPartValues[j] = op.apply(partValues[j], v2.get(idx + base));
                            }
                        }
                    } else {
                        long[] partIndices = part.getStorage().getIndices();
                        float[] partValues = part.getStorage().getValues();
                        for (int j = 0; j < partIndices.length; j++) {
                            long idx = partIndices[j];
                            if (v2.hasKey(idx + base)) {
                                resPart.set(idx, op.apply(partValues[j], v2.get(idx + base)));
                            }
                        }
                    }
                }
                base += part.getDim();
            }
        }
    } else {
        // sorted
        if (v1.size() > v2.size()) {
            long subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
            long[] v2Indices = v2.getStorage().getIndices();
            float[] v2Values = v2.getStorage().getValues();
            for (int i = 0; i < v2Indices.length; i++) {
                long idx = v2Indices[i];
                int pidx = (int) (idx / subDim);
                long subidx = idx % subDim;
                if (parts[pidx].hasKey(subidx)) {
                    ((LongFloatVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), v2Values[i]));
                }
            }
        } else {
            long base = 0;
            for (int i = 0; i < parts.length; i++) {
                LongFloatVector part = parts[i];
                LongFloatVectorStorage resPart = (LongFloatVectorStorage) 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<Long2FloatMap.Entry> piter = part.getStorage().entryIterator();
                    while (piter.hasNext()) {
                        Long2FloatMap.Entry entry = piter.next();
                        long idx = entry.getLongKey();
                        if (v2.hasKey(idx + base)) {
                            resPart.set(idx, op.apply(entry.getFloatValue(), v2.get(idx + base)));
                        }
                    }
                } else {
                    // sorted
                    if (op.isKeepStorage()) {
                        long[] partIndices = part.getStorage().getIndices();
                        float[] partValues = part.getStorage().getValues();
                        long[] resPartIndices = resPart.getIndices();
                        float[] resPartValues = resPart.getValues();
                        for (int j = 0; j < partIndices.length; j++) {
                            long idx = partIndices[j];
                            if (v2.hasKey(idx + base)) {
                                resPartIndices[j] = idx;
                                resPartValues[j] = op.apply(partValues[j], v2.get(idx + base));
                            }
                        }
                    } else {
                        long[] partIndices = part.getStorage().getIndices();
                        float[] partValues = part.getStorage().getValues();
                        for (int j = 0; j < partIndices.length; j++) {
                            long idx = partIndices[j];
                            if (v2.hasKey(idx + base)) {
                                resPart.set(idx, op.apply(partValues[j], v2.get(idx + base)));
                            }
                        }
                    }
                }
                base += part.getDim();
            }
        }
    }
    LongFloatVector[] res = new LongFloatVector[parts.length];
    int i = 0;
    for (LongFloatVector part : parts) {
        res[i] = new LongFloatVector(part.getMatrixId(), part.getRowId(), part.getClock(), part.getDim(), (LongFloatVectorStorage) resParts[i]);
        i++;
    }
    return new CompLongFloatVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), res, v1.getSubDim());
}
Also used : LongFloatVectorStorage(com.tencent.angel.ml.math2.storage.LongFloatVectorStorage) LongFloatVector(com.tencent.angel.ml.math2.vector.LongFloatVector) CompLongFloatVector(com.tencent.angel.ml.math2.vector.CompLongFloatVector) ObjectIterator(it.unimi.dsi.fastutil.objects.ObjectIterator) CompLongFloatVector(com.tencent.angel.ml.math2.vector.CompLongFloatVector) 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) Long2FloatMap(it.unimi.dsi.fastutil.longs.Long2FloatMap)

Aggregations

ObjectIterator (it.unimi.dsi.fastutil.objects.ObjectIterator)254 IntDoubleVectorStorage (com.tencent.angel.ml.math2.storage.IntDoubleVectorStorage)115 IntFloatVectorStorage (com.tencent.angel.ml.math2.storage.IntFloatVectorStorage)114 IntLongVectorStorage (com.tencent.angel.ml.math2.storage.IntLongVectorStorage)111 IntIntVectorStorage (com.tencent.angel.ml.math2.storage.IntIntVectorStorage)110 AngelException (com.tencent.angel.exception.AngelException)100 LongDoubleVectorStorage (com.tencent.angel.ml.math2.storage.LongDoubleVectorStorage)100 LongFloatVectorStorage (com.tencent.angel.ml.math2.storage.LongFloatVectorStorage)99 LongLongVectorStorage (com.tencent.angel.ml.math2.storage.LongLongVectorStorage)98 LongIntVectorStorage (com.tencent.angel.ml.math2.storage.LongIntVectorStorage)97 Storage (com.tencent.angel.ml.math2.storage.Storage)96 Int2FloatMap (it.unimi.dsi.fastutil.ints.Int2FloatMap)62 Int2LongMap (it.unimi.dsi.fastutil.ints.Int2LongMap)57 Int2DoubleMap (it.unimi.dsi.fastutil.ints.Int2DoubleMap)56 Int2IntMap (it.unimi.dsi.fastutil.ints.Int2IntMap)55 IntDoubleVector (com.tencent.angel.ml.math2.vector.IntDoubleVector)47 IntDoubleSortedVectorStorage (com.tencent.angel.ml.math2.storage.IntDoubleSortedVectorStorage)44 LongDoubleSortedVectorStorage (com.tencent.angel.ml.math2.storage.LongDoubleSortedVectorStorage)44 IntFloatSortedVectorStorage (com.tencent.angel.ml.math2.storage.IntFloatSortedVectorStorage)43 LongFloatSortedVectorStorage (com.tencent.angel.ml.math2.storage.LongFloatSortedVectorStorage)43