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Example 21 with IntIntVector

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

the class MixedDotExecutor method apply.

private static double apply(CompIntFloatVector v1, IntIntVector v2) {
    double dotValue = 0.0;
    if (v2.isDense()) {
        int base = 0;
        int[] v2Values = v2.getStorage().getValues();
        for (IntFloatVector part : v1.getPartitions()) {
            if (part.isDense()) {
                float[] partValues = part.getStorage().getValues();
                for (int i = 0; i < partValues.length; i++) {
                    int idx = base + i;
                    dotValue += partValues[i] * v2Values[idx];
                }
            } else if (part.isSparse()) {
                ObjectIterator<Int2FloatMap.Entry> iter = part.getStorage().entryIterator();
                while (iter.hasNext()) {
                    Int2FloatMap.Entry entry = iter.next();
                    int idx = base + entry.getIntKey();
                    dotValue += entry.getFloatValue() * v2Values[idx];
                }
            } else {
                // isSorted
                int[] partIndices = part.getStorage().getIndices();
                float[] partValues = part.getStorage().getValues();
                for (int i = 0; i < partIndices.length; i++) {
                    int idx = base + partIndices[i];
                    dotValue += partValues[i] * v2Values[idx];
                }
            }
            base += part.getDim();
        }
    } else if (v2.isSparse()) {
        ObjectIterator<Int2IntMap.Entry> iter = v2.getStorage().entryIterator();
        while (iter.hasNext()) {
            Int2IntMap.Entry entry = iter.next();
            int idx = entry.getIntKey();
            dotValue += v1.get(idx) * entry.getIntValue();
        }
    } else if (v2.isSorted() && v1.size() > v2.size()) {
        // v2 is sorted
        int[] v2Indices = v2.getStorage().getIndices();
        int[] v2Values = v2.getStorage().getValues();
        for (int i = 0; i < v2Indices.length; i++) {
            int idx = v2Indices[i];
            dotValue += v1.get(idx) * v2Values[i];
        }
    } else {
        int base = 0;
        for (IntFloatVector part : v1.getPartitions()) {
            if (part.isDense()) {
                float[] partValues = part.getStorage().getValues();
                for (int i = 0; i < partValues.length; i++) {
                    int idx = base + i;
                    dotValue += partValues[i] * v2.get(idx);
                }
            } else if (part.isSparse()) {
                ObjectIterator<Int2FloatMap.Entry> iter = part.getStorage().entryIterator();
                while (iter.hasNext()) {
                    Int2FloatMap.Entry entry = iter.next();
                    int idx = base + entry.getIntKey();
                    dotValue += entry.getFloatValue() * v2.get(idx);
                }
            } else {
                // isSorted
                int[] partIndices = part.getStorage().getIndices();
                float[] partValues = part.getStorage().getValues();
                for (int i = 0; i < partIndices.length; i++) {
                    int idx = base + partIndices[i];
                    dotValue += partValues[i] * v2.get(idx);
                }
            }
            base += part.getDim();
        }
    }
    return dotValue;
}
Also used : Int2FloatMap(it.unimi.dsi.fastutil.ints.Int2FloatMap) CompIntFloatVector(com.tencent.angel.ml.math2.vector.CompIntFloatVector) IntFloatVector(com.tencent.angel.ml.math2.vector.IntFloatVector) Int2IntMap(it.unimi.dsi.fastutil.ints.Int2IntMap) ObjectIterator(it.unimi.dsi.fastutil.objects.ObjectIterator)

Example 22 with IntIntVector

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

the class MixedBinaryOutAllExecutor method apply.

private static Vector apply(CompIntIntVector v1, IntDummyVector v2, Binary op) {
    IntIntVector[] parts = v1.getPartitions();
    Storage[] resParts = StorageSwitch.applyComp(v1, v2, op);
    if (!op.isKeepStorage()) {
        for (int i = 0; i < parts.length; i++) {
            if (parts[i].getStorage() instanceof IntIntSortedVectorStorage) {
                resParts[i] = new IntIntSparseVectorStorage(parts[i].getDim(), parts[i].getStorage().getIndices(), parts[i].getStorage().getValues());
            }
        }
    }
    int subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
    for (int i = 0; i < v1.getDim(); i++) {
        int pidx = (int) (i / subDim);
        int subidx = i % subDim;
        ((IntIntVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), v2.get(i)));
    }
    IntIntVector[] res = new IntIntVector[parts.length];
    int i = 0;
    for (IntIntVector part : parts) {
        res[i] = new IntIntVector(part.getMatrixId(), part.getRowId(), part.getClock(), part.getDim(), (IntIntVectorStorage) resParts[i]);
        i++;
    }
    return new CompIntIntVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), res, v1.getSubDim());
}
Also used : IntIntSortedVectorStorage(com.tencent.angel.ml.math2.storage.IntIntSortedVectorStorage) IntIntVectorStorage(com.tencent.angel.ml.math2.storage.IntIntVectorStorage) IntIntVectorStorage(com.tencent.angel.ml.math2.storage.IntIntVectorStorage) Storage(com.tencent.angel.ml.math2.storage.Storage) IntDoubleSparseVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleSparseVectorStorage) LongIntVectorStorage(com.tencent.angel.ml.math2.storage.LongIntVectorStorage) LongLongSparseVectorStorage(com.tencent.angel.ml.math2.storage.LongLongSparseVectorStorage) IntDoubleSortedVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleSortedVectorStorage) LongDoubleSparseVectorStorage(com.tencent.angel.ml.math2.storage.LongDoubleSparseVectorStorage) LongDoubleSortedVectorStorage(com.tencent.angel.ml.math2.storage.LongDoubleSortedVectorStorage) LongLongVectorStorage(com.tencent.angel.ml.math2.storage.LongLongVectorStorage) LongFloatVectorStorage(com.tencent.angel.ml.math2.storage.LongFloatVectorStorage) IntLongVectorStorage(com.tencent.angel.ml.math2.storage.IntLongVectorStorage) IntIntSortedVectorStorage(com.tencent.angel.ml.math2.storage.IntIntSortedVectorStorage) LongIntSortedVectorStorage(com.tencent.angel.ml.math2.storage.LongIntSortedVectorStorage) IntLongSortedVectorStorage(com.tencent.angel.ml.math2.storage.IntLongSortedVectorStorage) IntLongSparseVectorStorage(com.tencent.angel.ml.math2.storage.IntLongSparseVectorStorage) LongIntSparseVectorStorage(com.tencent.angel.ml.math2.storage.LongIntSparseVectorStorage) IntFloatVectorStorage(com.tencent.angel.ml.math2.storage.IntFloatVectorStorage) IntFloatSortedVectorStorage(com.tencent.angel.ml.math2.storage.IntFloatSortedVectorStorage) LongLongSortedVectorStorage(com.tencent.angel.ml.math2.storage.LongLongSortedVectorStorage) LongDoubleVectorStorage(com.tencent.angel.ml.math2.storage.LongDoubleVectorStorage) IntDoubleVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleVectorStorage) IntIntSparseVectorStorage(com.tencent.angel.ml.math2.storage.IntIntSparseVectorStorage) IntFloatSparseVectorStorage(com.tencent.angel.ml.math2.storage.IntFloatSparseVectorStorage) LongFloatSparseVectorStorage(com.tencent.angel.ml.math2.storage.LongFloatSparseVectorStorage) LongFloatSortedVectorStorage(com.tencent.angel.ml.math2.storage.LongFloatSortedVectorStorage) IntIntSparseVectorStorage(com.tencent.angel.ml.math2.storage.IntIntSparseVectorStorage) CompIntIntVector(com.tencent.angel.ml.math2.vector.CompIntIntVector) IntIntVector(com.tencent.angel.ml.math2.vector.IntIntVector) CompIntIntVector(com.tencent.angel.ml.math2.vector.CompIntIntVector)

Example 23 with IntIntVector

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

the class MixedBinaryOutAllExecutor method apply.

private static Vector apply(CompIntDoubleVector v1, IntIntVector v2, Binary op) {
    IntDoubleVector[] parts = v1.getPartitions();
    Storage[] resParts = StorageSwitch.applyComp(v1, v2, op);
    if (v2.isDense()) {
        int[] v2Values = v2.getStorage().getValues();
        int base = 0, k = 0;
        for (IntDoubleVector part : parts) {
            IntDoubleVectorStorage resPart = (IntDoubleVectorStorage) resParts[k];
            if (part.isDense()) {
                double[] partValue = part.getStorage().getValues();
                double[] resPartValues = resPart.getValues();
                for (int i = 0; i < partValue.length; i++) {
                    int idx = i;
                    resPartValues[i] = op.apply(partValue[i], v2Values[idx + base]);
                }
            } else if (part.isSparse()) {
                if (part.size() < Constant.denseLoopThreshold * part.getDim()) {
                    for (int i = 0; i < part.getDim(); i++) {
                        resPart.set(i, op.apply(0, v2Values[i + base]));
                    }
                    ObjectIterator<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 {
                    for (int i = 0; i < resPart.size(); i++) {
                        if (part.getStorage().hasKey(i)) {
                            resPart.set(i, op.apply(part.get(i), v2Values[i + base]));
                        } else {
                            resPart.set(i, op.apply(0, v2Values[i + base]));
                        }
                    }
                }
            } else {
                // sorted
                if (op.isKeepStorage()) {
                    int[] resPartIndices = resPart.getIndices();
                    double[] resPartValues = resPart.getValues();
                    if (part.size() < Constant.denseLoopThreshold * part.getDim()) {
                        int[] partIndices = part.getStorage().getIndices();
                        double[] partValues = part.getStorage().getValues();
                        for (int i = 0; i < part.getDim(); i++) {
                            resPartIndices[i] = i;
                            resPartValues[i] = op.apply(0, v2Values[i + base]);
                        }
                        int size = part.size();
                        for (int i = 0; i < size; i++) {
                            int idx = partIndices[i];
                            resPartValues[idx] = op.apply(partValues[i], v2Values[idx + base]);
                        }
                    } else {
                        IntDoubleVectorStorage partStorage = part.getStorage();
                        for (int i = 0; i < resPartValues.length; i++) {
                            if (partStorage.hasKey(i)) {
                                resPartIndices[i] = i;
                                resPartValues[i] = op.apply(partStorage.get(i), v2Values[i + base]);
                            } else {
                                resPartIndices[i] = i;
                                resPartValues[i] = op.apply(0, v2Values[i + base]);
                            }
                        }
                    }
                } else {
                    double[] resPartValues = resPart.getValues();
                    if (part.size() < Constant.denseLoopThreshold * part.getDim()) {
                        int[] partIndices = part.getStorage().getIndices();
                        double[] partValues = part.getStorage().getValues();
                        for (int i = 0; i < part.getDim(); i++) {
                            resPartValues[i] = op.apply(0, v2Values[i + base]);
                        }
                        int size = part.size();
                        for (int i = 0; i < size; i++) {
                            int idx = partIndices[i];
                            resPartValues[idx] = op.apply(partValues[i], v2Values[idx + base]);
                        }
                    } else {
                        IntDoubleVectorStorage partStorage = part.getStorage();
                        for (int i = 0; i < resPartValues.length; i++) {
                            if (partStorage.hasKey(i)) {
                                resPartValues[i] = op.apply(partStorage.get(i), v2Values[i + base]);
                            } else {
                                resPartValues[i] = op.apply(0, v2Values[i + base]);
                            }
                        }
                    }
                }
            }
            base += part.getDim();
            k++;
        }
    } else {
        if (!op.isKeepStorage()) {
            for (int i = 0; i < parts.length; i++) {
                if (parts[i].getStorage() instanceof IntDoubleSortedVectorStorage) {
                    resParts[i] = new IntDoubleSparseVectorStorage(parts[i].getDim(), parts[i].getStorage().getIndices(), parts[i].getStorage().getValues());
                }
            }
        }
        int subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
        for (int i = 0; i < v1.getDim(); i++) {
            int pidx = (int) (i / subDim);
            int subidx = i % subDim;
            if (v2.getStorage().hasKey(i)) {
                ((IntDoubleVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), v2.get(i)));
            } else {
                ((IntDoubleVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), 0));
            }
        }
    }
    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) IntDoubleSparseVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleSparseVectorStorage) IntIntVectorStorage(com.tencent.angel.ml.math2.storage.IntIntVectorStorage) Storage(com.tencent.angel.ml.math2.storage.Storage) IntDoubleSparseVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleSparseVectorStorage) LongIntVectorStorage(com.tencent.angel.ml.math2.storage.LongIntVectorStorage) LongLongSparseVectorStorage(com.tencent.angel.ml.math2.storage.LongLongSparseVectorStorage) IntDoubleSortedVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleSortedVectorStorage) LongDoubleSparseVectorStorage(com.tencent.angel.ml.math2.storage.LongDoubleSparseVectorStorage) LongDoubleSortedVectorStorage(com.tencent.angel.ml.math2.storage.LongDoubleSortedVectorStorage) LongLongVectorStorage(com.tencent.angel.ml.math2.storage.LongLongVectorStorage) LongFloatVectorStorage(com.tencent.angel.ml.math2.storage.LongFloatVectorStorage) IntLongVectorStorage(com.tencent.angel.ml.math2.storage.IntLongVectorStorage) IntIntSortedVectorStorage(com.tencent.angel.ml.math2.storage.IntIntSortedVectorStorage) LongIntSortedVectorStorage(com.tencent.angel.ml.math2.storage.LongIntSortedVectorStorage) IntLongSortedVectorStorage(com.tencent.angel.ml.math2.storage.IntLongSortedVectorStorage) IntLongSparseVectorStorage(com.tencent.angel.ml.math2.storage.IntLongSparseVectorStorage) LongIntSparseVectorStorage(com.tencent.angel.ml.math2.storage.LongIntSparseVectorStorage) IntFloatVectorStorage(com.tencent.angel.ml.math2.storage.IntFloatVectorStorage) IntFloatSortedVectorStorage(com.tencent.angel.ml.math2.storage.IntFloatSortedVectorStorage) LongLongSortedVectorStorage(com.tencent.angel.ml.math2.storage.LongLongSortedVectorStorage) LongDoubleVectorStorage(com.tencent.angel.ml.math2.storage.LongDoubleVectorStorage) IntDoubleVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleVectorStorage) IntIntSparseVectorStorage(com.tencent.angel.ml.math2.storage.IntIntSparseVectorStorage) IntFloatSparseVectorStorage(com.tencent.angel.ml.math2.storage.IntFloatSparseVectorStorage) LongFloatSparseVectorStorage(com.tencent.angel.ml.math2.storage.LongFloatSparseVectorStorage) LongFloatSortedVectorStorage(com.tencent.angel.ml.math2.storage.LongFloatSortedVectorStorage) IntDoubleVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleVectorStorage) IntDoubleSortedVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleSortedVectorStorage) CompIntDoubleVector(com.tencent.angel.ml.math2.vector.CompIntDoubleVector)

Example 24 with IntIntVector

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

the class SimpleBinaryInAllExecutor method apply.

public static Vector apply(IntFloatVector v1, IntIntVector v2, Binary op) {
    if (v1.isDense() && v2.isDense()) {
        float[] resValues = v1.getStorage().getValues();
        int[] v2Values = v2.getStorage().getValues();
        for (int idx = 0; idx < resValues.length; idx++) {
            resValues[idx] = op.apply(resValues[idx], v2Values[idx]);
        }
    } else if (v1.isDense() && v2.isSparse()) {
        float[] resValues = v1.getStorage().getValues();
        if (v2.size() < Constant.denseLoopThreshold * v2.getDim()) {
            for (int i = 0; i < resValues.length; i++) {
                resValues[i] = op.apply(resValues[i], 0);
            }
            ObjectIterator<Int2IntMap.Entry> iter = v2.getStorage().entryIterator();
            while (iter.hasNext()) {
                Int2IntMap.Entry entry = iter.next();
                int idx = entry.getIntKey();
                resValues[idx] = op.apply(v1.get(idx), entry.getIntValue());
            }
        } else {
            IntIntVectorStorage v2Storage = v2.getStorage();
            for (int i = 0; i < resValues.length; i++) {
                if (v2Storage.hasKey(i)) {
                    resValues[i] = op.apply(resValues[i], v2.get(i));
                } else {
                    resValues[i] = op.apply(resValues[i], 0);
                }
            }
        }
    } else if (v1.isDense() && v2.isSorted()) {
        float[] resValues = v1.getStorage().getValues();
        if (v2.size() < Constant.denseLoopThreshold * v2.getDim()) {
            int[] v2Indices = v2.getStorage().getIndices();
            int[] v2Values = v2.getStorage().getValues();
            for (int i = 0; i < resValues.length; i++) {
                resValues[i] = op.apply(resValues[i], 0);
            }
            int size = v2.size();
            for (int i = 0; i < size; i++) {
                int idx = v2Indices[i];
                resValues[idx] = op.apply(v1.get(idx), v2Values[i]);
            }
        } else {
            IntIntVectorStorage v2Storage = v2.getStorage();
            for (int i = 0; i < resValues.length; i++) {
                if (v2Storage.hasKey(i)) {
                    resValues[i] = op.apply(resValues[i], v2.get(i));
                } else {
                    resValues[i] = op.apply(resValues[i], 0);
                }
            }
        }
    } else if (v1.isSparse() && v2.isDense()) {
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            IntFloatVectorStorage newStorage = v1.getStorage().emptyDense();
            float[] resValues = newStorage.getValues();
            int[] v2Values = v2.getStorage().getValues();
            if (v1.size() < Constant.denseLoopThreshold * v1.getDim()) {
                for (int i = 0; i < resValues.length; i++) {
                    resValues[i] = op.apply(0, v2Values[i]);
                }
                ObjectIterator<Int2FloatMap.Entry> iter = v1.getStorage().entryIterator();
                while (iter.hasNext()) {
                    Int2FloatMap.Entry entry = iter.next();
                    int idx = entry.getIntKey();
                    resValues[idx] = op.apply(entry.getFloatValue(), v2Values[idx]);
                }
            } else {
                for (int i = 0; i < resValues.length; i++) {
                    if (v1.getStorage().hasKey(i)) {
                        resValues[i] = op.apply(v1.get(i), v2Values[i]);
                    } else {
                        resValues[i] = op.apply(0, v2Values[i]);
                    }
                }
            }
            v1.setStorage(newStorage);
        }
    } else if (v1.isSorted() && v2.isDense()) {
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            IntFloatVectorStorage newStorage = v1.getStorage().emptyDense();
            float[] resValues = newStorage.getValues();
            int[] v2Values = v2.getStorage().getValues();
            if (v1.size() < Constant.denseLoopThreshold * v1.getDim()) {
                int[] v1Indices = v1.getStorage().getIndices();
                float[] v1Values = v1.getStorage().getValues();
                for (int i = 0; i < resValues.length; i++) {
                    resValues[i] = op.apply(0, v2Values[i]);
                }
                int size = v1.size();
                for (int i = 0; i < size; i++) {
                    int idx = v1Indices[i];
                    resValues[idx] = op.apply(v1Values[i], v2Values[idx]);
                }
            } else {
                IntFloatVectorStorage v1Storage = v1.getStorage();
                for (int i = 0; i < resValues.length; i++) {
                    if (v1Storage.hasKey(i)) {
                        resValues[i] = op.apply(v1.get(i), v2Values[i]);
                    } else {
                        resValues[i] = op.apply(0, v2Values[i]);
                    }
                }
            }
            v1.setStorage(newStorage);
        }
    } else if (v1.isSparse() && v2.isSparse()) {
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            IntFloatVectorStorage newStorage = v1.getStorage().emptyDense();
            float[] resValues = newStorage.getValues();
            ObjectIterator<Int2FloatMap.Entry> iter1 = v1.getStorage().entryIterator();
            while (iter1.hasNext()) {
                Int2FloatMap.Entry entry = iter1.next();
                int idx = entry.getIntKey();
                resValues[idx] = entry.getFloatValue();
            }
            if (v2.size() < Constant.denseLoopThreshold * v2.getDim()) {
                for (int i = 0; i < resValues.length; i++) {
                    resValues[i] = op.apply(resValues[i], 0);
                }
                ObjectIterator<Int2IntMap.Entry> iter = v2.getStorage().entryIterator();
                while (iter.hasNext()) {
                    Int2IntMap.Entry entry = iter.next();
                    int idx = entry.getIntKey();
                    if (v1.getStorage().hasKey(idx)) {
                        resValues[idx] = op.apply(v1.get(idx), entry.getIntValue());
                    }
                }
            } else {
                IntIntVectorStorage v2Storage = v2.getStorage();
                for (int i = 0; i < resValues.length; i++) {
                    if (v2Storage.hasKey(i)) {
                        resValues[i] = op.apply(resValues[i], v2.get(i));
                    } else {
                        resValues[i] = op.apply(resValues[i], 0);
                    }
                }
            }
            v1.setStorage(newStorage);
        }
    } else if (v1.isSparse() && v2.isSorted()) {
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            IntFloatVectorStorage newStorage = v1.getStorage().emptyDense();
            float[] resValues = newStorage.getValues();
            ObjectIterator<Int2FloatMap.Entry> iter1 = v1.getStorage().entryIterator();
            while (iter1.hasNext()) {
                Int2FloatMap.Entry entry = iter1.next();
                int idx = entry.getIntKey();
                resValues[idx] = entry.getFloatValue();
            }
            if (v2.size() < Constant.denseLoopThreshold * v2.getDim()) {
                int[] v2Indices = v2.getStorage().getIndices();
                int[] v2Values = v2.getStorage().getValues();
                for (int i = 0; i < resValues.length; i++) {
                    resValues[i] = op.apply(resValues[i], 0);
                }
                int size = v2.size();
                for (int i = 0; i < size; i++) {
                    int idx = v2Indices[i];
                    if (v1.getStorage().hasKey(idx)) {
                        resValues[idx] = op.apply(v1.get(idx), v2Values[i]);
                    }
                }
            } else {
                IntIntVectorStorage v2Storage = v2.getStorage();
                for (int i = 0; i < resValues.length; i++) {
                    if (v2Storage.hasKey(i)) {
                        resValues[i] = op.apply(resValues[i], v2.get(i));
                    } else {
                        resValues[i] = op.apply(resValues[i], 0);
                    }
                }
            }
            v1.setStorage(newStorage);
        }
    } else if (v1.isSorted() && v2.isSparse()) {
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            IntFloatVectorStorage newStorage = v1.getStorage().emptyDense();
            float[] resValues = newStorage.getValues();
            int[] v1Indices = v1.getStorage().getIndices();
            float[] v1Values = v1.getStorage().getValues();
            int size = v1.size();
            for (int i = 0; i < size; i++) {
                int idx = v1Indices[i];
                resValues[idx] = v1Values[i];
            }
            if (v2.size() < Constant.denseLoopThreshold * v2.getDim()) {
                for (int i = 0; i < resValues.length; i++) {
                    resValues[i] = op.apply(resValues[i], 0);
                }
                ObjectIterator<Int2IntMap.Entry> iter = v2.getStorage().entryIterator();
                while (iter.hasNext()) {
                    Int2IntMap.Entry entry = iter.next();
                    int idx = entry.getIntKey();
                    if (v1.getStorage().hasKey(idx)) {
                        resValues[idx] = op.apply(v1.get(idx), entry.getIntValue());
                    }
                }
            } else {
                IntIntVectorStorage v2Storage = v2.getStorage();
                for (int i = 0; i < resValues.length; i++) {
                    if (v2Storage.hasKey(i)) {
                        resValues[i] = op.apply(resValues[i], v2.get(i));
                    } else {
                        resValues[i] = op.apply(resValues[i], 0);
                    }
                }
            }
            v1.setStorage(newStorage);
        }
    } else if (v1.isSorted() && v2.isSorted()) {
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            IntFloatVectorStorage newStorage = v1.getStorage().emptyDense();
            float[] resValues = newStorage.getValues();
            int v1Pointor = 0;
            int v2Pointor = 0;
            int size1 = v1.size();
            int size2 = v2.size();
            int[] v1Indices = v1.getStorage().getIndices();
            float[] v1Values = v1.getStorage().getValues();
            int[] v2Indices = v2.getStorage().getIndices();
            int[] v2Values = v2.getStorage().getValues();
            if (!op.isCompare()) {
                for (int i = 0; i < resValues.length; i++) {
                    resValues[i] = Float.NaN;
                }
            }
            while (v1Pointor < size1 && v2Pointor < size2) {
                if (v1Indices[v1Pointor] == v2Indices[v2Pointor]) {
                    resValues[v1Indices[v1Pointor]] = op.apply(v1Values[v1Pointor], v2Values[v2Pointor]);
                    v1Pointor++;
                    v2Pointor++;
                } else if (v1Indices[v1Pointor] < v2Indices[v2Pointor]) {
                    resValues[v1Indices[v1Pointor]] = op.apply(v1Values[v1Pointor], 0);
                    v1Pointor++;
                } else {
                    // v1Indices[v1Pointor] > v2Indices[v2Pointor]
                    resValues[v2Indices[v2Pointor]] = op.apply(0, v2Values[v2Pointor]);
                    v2Pointor++;
                }
            }
            v1.setStorage(newStorage);
        }
    } else {
        throw new AngelException("The operation is not support!");
    }
    return v1;
}
Also used : AngelException(com.tencent.angel.exception.AngelException) IntIntVectorStorage(com.tencent.angel.ml.math2.storage.IntIntVectorStorage) IntFloatVectorStorage(com.tencent.angel.ml.math2.storage.IntFloatVectorStorage) Int2FloatMap(it.unimi.dsi.fastutil.ints.Int2FloatMap) Int2IntMap(it.unimi.dsi.fastutil.ints.Int2IntMap) ObjectIterator(it.unimi.dsi.fastutil.objects.ObjectIterator)

Example 25 with IntIntVector

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

the class SimpleBinaryInAllExecutor method apply.

public static Vector apply(IntLongVector v1, IntIntVector v2, Binary op) {
    if (v1.isDense() && v2.isDense()) {
        long[] resValues = v1.getStorage().getValues();
        int[] v2Values = v2.getStorage().getValues();
        for (int idx = 0; idx < resValues.length; idx++) {
            resValues[idx] = op.apply(resValues[idx], v2Values[idx]);
        }
    } else if (v1.isDense() && v2.isSparse()) {
        long[] resValues = v1.getStorage().getValues();
        if (v2.size() < Constant.denseLoopThreshold * v2.getDim()) {
            for (int i = 0; i < resValues.length; i++) {
                resValues[i] = op.apply(resValues[i], 0);
            }
            ObjectIterator<Int2IntMap.Entry> iter = v2.getStorage().entryIterator();
            while (iter.hasNext()) {
                Int2IntMap.Entry entry = iter.next();
                int idx = entry.getIntKey();
                resValues[idx] = op.apply(v1.get(idx), entry.getIntValue());
            }
        } else {
            IntIntVectorStorage v2Storage = v2.getStorage();
            for (int i = 0; i < resValues.length; i++) {
                if (v2Storage.hasKey(i)) {
                    resValues[i] = op.apply(resValues[i], v2.get(i));
                } else {
                    resValues[i] = op.apply(resValues[i], 0);
                }
            }
        }
    } else if (v1.isDense() && v2.isSorted()) {
        long[] resValues = v1.getStorage().getValues();
        if (v2.size() < Constant.denseLoopThreshold * v2.getDim()) {
            int[] v2Indices = v2.getStorage().getIndices();
            int[] v2Values = v2.getStorage().getValues();
            for (int i = 0; i < resValues.length; i++) {
                resValues[i] = op.apply(resValues[i], 0);
            }
            int size = v2.size();
            for (int i = 0; i < size; i++) {
                int idx = v2Indices[i];
                resValues[idx] = op.apply(v1.get(idx), v2Values[i]);
            }
        } else {
            IntIntVectorStorage v2Storage = v2.getStorage();
            for (int i = 0; i < resValues.length; i++) {
                if (v2Storage.hasKey(i)) {
                    resValues[i] = op.apply(resValues[i], v2.get(i));
                } else {
                    resValues[i] = op.apply(resValues[i], 0);
                }
            }
        }
    } else if (v1.isSparse() && v2.isDense()) {
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            IntLongVectorStorage newStorage = v1.getStorage().emptyDense();
            long[] resValues = newStorage.getValues();
            int[] v2Values = v2.getStorage().getValues();
            if (v1.size() < Constant.denseLoopThreshold * v1.getDim()) {
                for (int i = 0; i < resValues.length; i++) {
                    resValues[i] = op.apply(0, v2Values[i]);
                }
                ObjectIterator<Int2LongMap.Entry> iter = v1.getStorage().entryIterator();
                while (iter.hasNext()) {
                    Int2LongMap.Entry entry = iter.next();
                    int idx = entry.getIntKey();
                    resValues[idx] = op.apply(entry.getLongValue(), v2Values[idx]);
                }
            } else {
                for (int i = 0; i < resValues.length; i++) {
                    if (v1.getStorage().hasKey(i)) {
                        resValues[i] = op.apply(v1.get(i), v2Values[i]);
                    } else {
                        resValues[i] = op.apply(0, v2Values[i]);
                    }
                }
            }
            v1.setStorage(newStorage);
        }
    } else if (v1.isSorted() && v2.isDense()) {
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            IntLongVectorStorage newStorage = v1.getStorage().emptyDense();
            long[] resValues = newStorage.getValues();
            int[] v2Values = v2.getStorage().getValues();
            if (v1.size() < Constant.denseLoopThreshold * v1.getDim()) {
                int[] v1Indices = v1.getStorage().getIndices();
                long[] v1Values = v1.getStorage().getValues();
                for (int i = 0; i < resValues.length; i++) {
                    resValues[i] = op.apply(0, v2Values[i]);
                }
                int size = v1.size();
                for (int i = 0; i < size; i++) {
                    int idx = v1Indices[i];
                    resValues[idx] = op.apply(v1Values[i], v2Values[idx]);
                }
            } else {
                IntLongVectorStorage v1Storage = v1.getStorage();
                for (int i = 0; i < resValues.length; i++) {
                    if (v1Storage.hasKey(i)) {
                        resValues[i] = op.apply(v1.get(i), v2Values[i]);
                    } else {
                        resValues[i] = op.apply(0, v2Values[i]);
                    }
                }
            }
            v1.setStorage(newStorage);
        }
    } else if (v1.isSparse() && v2.isSparse()) {
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            IntLongVectorStorage newStorage = v1.getStorage().emptyDense();
            long[] resValues = newStorage.getValues();
            ObjectIterator<Int2LongMap.Entry> iter1 = v1.getStorage().entryIterator();
            while (iter1.hasNext()) {
                Int2LongMap.Entry entry = iter1.next();
                int idx = entry.getIntKey();
                resValues[idx] = entry.getLongValue();
            }
            if (v2.size() < Constant.denseLoopThreshold * v2.getDim()) {
                for (int i = 0; i < resValues.length; i++) {
                    resValues[i] = op.apply(resValues[i], 0);
                }
                ObjectIterator<Int2IntMap.Entry> iter = v2.getStorage().entryIterator();
                while (iter.hasNext()) {
                    Int2IntMap.Entry entry = iter.next();
                    int idx = entry.getIntKey();
                    if (v1.getStorage().hasKey(idx)) {
                        resValues[idx] = op.apply(v1.get(idx), entry.getIntValue());
                    }
                }
            } else {
                IntIntVectorStorage v2Storage = v2.getStorage();
                for (int i = 0; i < resValues.length; i++) {
                    if (v2Storage.hasKey(i)) {
                        resValues[i] = op.apply(resValues[i], v2.get(i));
                    } else {
                        resValues[i] = op.apply(resValues[i], 0);
                    }
                }
            }
            v1.setStorage(newStorage);
        }
    } else if (v1.isSparse() && v2.isSorted()) {
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            IntLongVectorStorage newStorage = v1.getStorage().emptyDense();
            long[] resValues = newStorage.getValues();
            ObjectIterator<Int2LongMap.Entry> iter1 = v1.getStorage().entryIterator();
            while (iter1.hasNext()) {
                Int2LongMap.Entry entry = iter1.next();
                int idx = entry.getIntKey();
                resValues[idx] = entry.getLongValue();
            }
            if (v2.size() < Constant.denseLoopThreshold * v2.getDim()) {
                int[] v2Indices = v2.getStorage().getIndices();
                int[] v2Values = v2.getStorage().getValues();
                for (int i = 0; i < resValues.length; i++) {
                    resValues[i] = op.apply(resValues[i], 0);
                }
                int size = v2.size();
                for (int i = 0; i < size; i++) {
                    int idx = v2Indices[i];
                    if (v1.getStorage().hasKey(idx)) {
                        resValues[idx] = op.apply(v1.get(idx), v2Values[i]);
                    }
                }
            } else {
                IntIntVectorStorage v2Storage = v2.getStorage();
                for (int i = 0; i < resValues.length; i++) {
                    if (v2Storage.hasKey(i)) {
                        resValues[i] = op.apply(resValues[i], v2.get(i));
                    } else {
                        resValues[i] = op.apply(resValues[i], 0);
                    }
                }
            }
            v1.setStorage(newStorage);
        }
    } else if (v1.isSorted() && v2.isSparse()) {
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            IntLongVectorStorage newStorage = v1.getStorage().emptyDense();
            long[] resValues = newStorage.getValues();
            int[] v1Indices = v1.getStorage().getIndices();
            long[] v1Values = v1.getStorage().getValues();
            int size = v1.size();
            for (int i = 0; i < size; i++) {
                int idx = v1Indices[i];
                resValues[idx] = v1Values[i];
            }
            if (v2.size() < Constant.denseLoopThreshold * v2.getDim()) {
                for (int i = 0; i < resValues.length; i++) {
                    resValues[i] = op.apply(resValues[i], 0);
                }
                ObjectIterator<Int2IntMap.Entry> iter = v2.getStorage().entryIterator();
                while (iter.hasNext()) {
                    Int2IntMap.Entry entry = iter.next();
                    int idx = entry.getIntKey();
                    if (v1.getStorage().hasKey(idx)) {
                        resValues[idx] = op.apply(v1.get(idx), entry.getIntValue());
                    }
                }
            } else {
                IntIntVectorStorage v2Storage = v2.getStorage();
                for (int i = 0; i < resValues.length; i++) {
                    if (v2Storage.hasKey(i)) {
                        resValues[i] = op.apply(resValues[i], v2.get(i));
                    } else {
                        resValues[i] = op.apply(resValues[i], 0);
                    }
                }
            }
            v1.setStorage(newStorage);
        }
    } else if (v1.isSorted() && v2.isSorted()) {
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            IntLongVectorStorage newStorage = v1.getStorage().emptyDense();
            long[] resValues = newStorage.getValues();
            int v1Pointor = 0;
            int v2Pointor = 0;
            int size1 = v1.size();
            int size2 = v2.size();
            int[] v1Indices = v1.getStorage().getIndices();
            long[] v1Values = v1.getStorage().getValues();
            int[] v2Indices = v2.getStorage().getIndices();
            int[] v2Values = v2.getStorage().getValues();
            if (!op.isCompare()) {
                if (size1 != v1.getDim() && size2 != v2.getDim()) {
                    for (int i = 0; i < v1.getDim(); i++) {
                        resValues[i] = 0 / 0;
                    }
                }
            }
            while (v1Pointor < size1 && v2Pointor < size2) {
                if (v1Indices[v1Pointor] == v2Indices[v2Pointor]) {
                    resValues[v1Indices[v1Pointor]] = op.apply(v1Values[v1Pointor], v2Values[v2Pointor]);
                    v1Pointor++;
                    v2Pointor++;
                } else if (v1Indices[v1Pointor] < v2Indices[v2Pointor]) {
                    resValues[v1Indices[v1Pointor]] = op.apply(v1Values[v1Pointor], 0);
                    v1Pointor++;
                } else {
                    // v1Indices[v1Pointor] > v2Indices[v2Pointor]
                    resValues[v2Indices[v2Pointor]] = op.apply(0, v2Values[v2Pointor]);
                    v2Pointor++;
                }
            }
            v1.setStorage(newStorage);
        }
    } else {
        throw new AngelException("The operation is not support!");
    }
    return v1;
}
Also used : AngelException(com.tencent.angel.exception.AngelException) IntIntVectorStorage(com.tencent.angel.ml.math2.storage.IntIntVectorStorage) IntLongVectorStorage(com.tencent.angel.ml.math2.storage.IntLongVectorStorage) Int2LongMap(it.unimi.dsi.fastutil.ints.Int2LongMap) Int2IntMap(it.unimi.dsi.fastutil.ints.Int2IntMap) ObjectIterator(it.unimi.dsi.fastutil.objects.ObjectIterator)

Aggregations

ObjectIterator (it.unimi.dsi.fastutil.objects.ObjectIterator)55 Int2IntMap (it.unimi.dsi.fastutil.ints.Int2IntMap)50 IntIntVectorStorage (com.tencent.angel.ml.math2.storage.IntIntVectorStorage)44 IntIntVector (com.tencent.angel.ml.math2.vector.IntIntVector)43 IntDoubleVectorStorage (com.tencent.angel.ml.math2.storage.IntDoubleVectorStorage)33 IntFloatVectorStorage (com.tencent.angel.ml.math2.storage.IntFloatVectorStorage)33 IntLongVectorStorage (com.tencent.angel.ml.math2.storage.IntLongVectorStorage)33 LongDoubleVectorStorage (com.tencent.angel.ml.math2.storage.LongDoubleVectorStorage)30 LongFloatVectorStorage (com.tencent.angel.ml.math2.storage.LongFloatVectorStorage)30 LongIntVectorStorage (com.tencent.angel.ml.math2.storage.LongIntVectorStorage)30 LongLongVectorStorage (com.tencent.angel.ml.math2.storage.LongLongVectorStorage)30 Storage (com.tencent.angel.ml.math2.storage.Storage)30 IntIntSparseVectorStorage (com.tencent.angel.ml.math2.storage.IntIntSparseVectorStorage)25 IntIntSortedVectorStorage (com.tencent.angel.ml.math2.storage.IntIntSortedVectorStorage)23 IntDoubleSortedVectorStorage (com.tencent.angel.ml.math2.storage.IntDoubleSortedVectorStorage)21 IntFloatSortedVectorStorage (com.tencent.angel.ml.math2.storage.IntFloatSortedVectorStorage)21 IntLongSortedVectorStorage (com.tencent.angel.ml.math2.storage.IntLongSortedVectorStorage)21 IntDoubleSparseVectorStorage (com.tencent.angel.ml.math2.storage.IntDoubleSparseVectorStorage)20 IntFloatSparseVectorStorage (com.tencent.angel.ml.math2.storage.IntFloatSparseVectorStorage)20 IntLongSparseVectorStorage (com.tencent.angel.ml.math2.storage.IntLongSparseVectorStorage)20