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Example 21 with LongLongVector

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

the class MixedBinaryOutZAExecutor method apply.

private static Vector apply(CompLongLongVector v1, LongIntVector v2, Binary op) {
    LongLongVector[] 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)) {
                    ((LongLongVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), entry.getIntValue()));
                }
            }
        } else {
            long base = 0;
            for (int i = 0; i < parts.length; i++) {
                LongLongVector part = parts[i];
                LongLongVectorStorage resPart = (LongLongVectorStorage) resParts[i];
                if (part.isDense()) {
                    long[] partValues = part.getStorage().getValues();
                    long[] 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<Long2LongMap.Entry> piter = part.getStorage().entryIterator();
                    while (piter.hasNext()) {
                        Long2LongMap.Entry entry = piter.next();
                        long idx = entry.getLongKey();
                        if (v2.hasKey(idx + base)) {
                            resPart.set(idx, op.apply(entry.getLongValue(), v2.get(idx + base)));
                        }
                    }
                } else {
                    // sorted
                    if (op.isKeepStorage()) {
                        long[] partIndices = part.getStorage().getIndices();
                        long[] partValues = part.getStorage().getValues();
                        long[] resPartIndices = resPart.getIndices();
                        long[] 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();
                        long[] 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)) {
                    ((LongLongVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), v2Values[i]));
                }
            }
        } else {
            long base = 0;
            for (int i = 0; i < parts.length; i++) {
                LongLongVector part = parts[i];
                LongLongVectorStorage resPart = (LongLongVectorStorage) resParts[i];
                if (part.isDense()) {
                    long[] partValues = part.getStorage().getValues();
                    long[] 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<Long2LongMap.Entry> piter = part.getStorage().entryIterator();
                    while (piter.hasNext()) {
                        Long2LongMap.Entry entry = piter.next();
                        long idx = entry.getLongKey();
                        if (v2.hasKey(idx + base)) {
                            resPart.set(idx, op.apply(entry.getLongValue(), v2.get(idx + base)));
                        }
                    }
                } else {
                    // sorted
                    if (op.isKeepStorage()) {
                        long[] partIndices = part.getStorage().getIndices();
                        long[] partValues = part.getStorage().getValues();
                        long[] resPartIndices = resPart.getIndices();
                        long[] 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();
                        long[] 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();
            }
        }
    }
    LongLongVector[] res = new LongLongVector[parts.length];
    int i = 0;
    for (LongLongVector part : parts) {
        res[i] = new LongLongVector(part.getMatrixId(), part.getRowId(), part.getClock(), part.getDim(), (LongLongVectorStorage) resParts[i]);
        i++;
    }
    return new CompLongLongVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), res, v1.getSubDim());
}
Also used : CompLongLongVector(com.tencent.angel.ml.math2.vector.CompLongLongVector) CompLongLongVector(com.tencent.angel.ml.math2.vector.CompLongLongVector) LongLongVector(com.tencent.angel.ml.math2.vector.LongLongVector) Long2IntMap(it.unimi.dsi.fastutil.longs.Long2IntMap) ObjectIterator(it.unimi.dsi.fastutil.objects.ObjectIterator) Long2LongMap(it.unimi.dsi.fastutil.longs.Long2LongMap) 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) LongLongVectorStorage(com.tencent.angel.ml.math2.storage.LongLongVectorStorage)

Example 22 with LongLongVector

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

the class MixedBinaryOutZAExecutor method apply.

private static Vector apply(CompLongDoubleVector v1, LongLongVector v2, Binary op) {
    LongDoubleVector[] parts = v1.getPartitions();
    Storage[] resParts = StorageSwitch.applyComp(v1, v2, op);
    if (v2.isSparse()) {
        ObjectIterator<Long2LongMap.Entry> iter = v2.getStorage().entryIterator();
        if (v1.size() > v2.size()) {
            long subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
            while (iter.hasNext()) {
                Long2LongMap.Entry entry = iter.next();
                long idx = entry.getLongKey();
                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), entry.getLongValue()));
                }
            }
        } 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();
            }
        }
    } else {
        // sorted
        if (v1.size() > v2.size()) {
            long subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
            long[] v2Indices = v2.getStorage().getIndices();
            long[] 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)) {
                    ((LongDoubleVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), v2Values[i]));
                }
            }
        } 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) Long2LongMap(it.unimi.dsi.fastutil.longs.Long2LongMap) 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 23 with LongLongVector

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

the class MixedBinaryOutNonZAExecutor method apply.

private static Vector apply(CompLongLongVector v1, LongIntVector v2, Binary op) {
    LongLongVector[] parts = v1.getPartitions();
    Storage[] resParts = StorageSwitch.applyComp(v1, v2, op);
    if (v2.isSparse()) {
        if (!op.isKeepStorage()) {
            for (int i = 0; i < parts.length; i++) {
                if (parts[i].getStorage() instanceof LongLongSortedVectorStorage) {
                    resParts[i] = new LongLongSparseVectorStorage(parts[i].getDim(), parts[i].getStorage().getIndices(), parts[i].getStorage().getValues());
                }
            }
        }
        long subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
        ObjectIterator<Long2IntMap.Entry> iter = v2.getStorage().entryIterator();
        while (iter.hasNext()) {
            Long2IntMap.Entry entry = iter.next();
            long gidx = entry.getLongKey();
            int pidx = (int) (gidx / subDim);
            long subidx = gidx % subDim;
            ((LongLongVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), entry.getIntValue()));
        }
    } else {
        // sorted
        if (!op.isKeepStorage()) {
            for (int i = 0; i < parts.length; i++) {
                if (parts[i].getStorage() instanceof LongLongSortedVectorStorage) {
                    resParts[i] = new LongLongSparseVectorStorage(parts[i].getDim(), parts[i].getStorage().getIndices(), parts[i].getStorage().getValues());
                }
            }
        }
        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 gidx = v2Indices[i];
            int pidx = (int) (gidx / subDim);
            long subidx = gidx % subDim;
            ((LongLongVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), v2Values[i]));
        }
    }
    LongLongVector[] res = new LongLongVector[parts.length];
    int i = 0;
    for (LongLongVector part : parts) {
        res[i] = new LongLongVector(part.getMatrixId(), part.getRowId(), part.getClock(), part.getDim(), (LongLongVectorStorage) resParts[i]);
        i++;
    }
    return new CompLongLongVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), res, v1.getSubDim());
}
Also used : CompLongLongVector(com.tencent.angel.ml.math2.vector.CompLongLongVector) CompLongLongVector(com.tencent.angel.ml.math2.vector.CompLongLongVector) LongLongVector(com.tencent.angel.ml.math2.vector.LongLongVector) Long2IntMap(it.unimi.dsi.fastutil.longs.Long2IntMap) 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) LongLongSortedVectorStorage(com.tencent.angel.ml.math2.storage.LongLongSortedVectorStorage) LongLongSparseVectorStorage(com.tencent.angel.ml.math2.storage.LongLongSparseVectorStorage) LongLongVectorStorage(com.tencent.angel.ml.math2.storage.LongLongVectorStorage)

Example 24 with LongLongVector

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

the class SimpleBinaryOutAllExecutor method apply.

public static Vector apply(LongLongVector v1, LongLongVector v2, Binary op) {
    LongLongVector res;
    if (v1.isSparse() && v2.isSparse()) {
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            // multi-rehash
            LongLongVectorStorage newStorage = v1.getStorage().emptySparse((int) (v1.getDim()));
            LongLongVectorStorage v1Storage = v1.getStorage();
            LongLongVectorStorage v2Storage = v2.getStorage();
            for (int i = 0; i < v1.getDim(); i++) {
                if (v1Storage.hasKey(i) && v2Storage.hasKey(i)) {
                    newStorage.set(i, op.apply(v1.get(i), v2.get(i)));
                } else if (v1Storage.hasKey(i) && !v2Storage.hasKey(i)) {
                    newStorage.set(i, op.apply(v1.get(i), 0));
                } else if (!v1Storage.hasKey(i) && v2Storage.hasKey(i)) {
                    newStorage.set(i, op.apply(0, v2.get(i)));
                } else {
                    newStorage.set(i, op.apply(0, 0));
                }
            }
            res = new LongLongVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), newStorage);
        }
    } else if (v1.isSparse() && v2.isSorted()) {
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            LongLongVectorStorage newStorage = v1.getStorage().emptySparse((int) (v1.getDim()));
            LongLongVectorStorage v1Storage = v1.getStorage();
            LongLongVectorStorage v2Storage = v2.getStorage();
            for (int i = 0; i < v1.getDim(); i++) {
                if (v1Storage.hasKey(i) && v2Storage.hasKey(i)) {
                    newStorage.set(i, op.apply(v1.get(i), v2.get(i)));
                } else if (v1Storage.hasKey(i) && !v2Storage.hasKey(i)) {
                    newStorage.set(i, op.apply(v1.get(i), 0));
                } else if (!v1Storage.hasKey(i) && v2Storage.hasKey(i)) {
                    newStorage.set(i, op.apply(0, v2.get(i)));
                } else {
                    newStorage.set(i, op.apply(0, 0));
                }
            }
            res = new LongLongVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), newStorage);
        }
    } else if (v1.isSorted() && v2.isSparse()) {
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            LongLongVectorStorage newStorage = new LongLongSparseVectorStorage(v1.getDim());
            LongLongVectorStorage v1Storage = v1.getStorage();
            LongLongVectorStorage v2Storage = v2.getStorage();
            for (int i = 0; i < v1.getDim(); i++) {
                if (v1Storage.hasKey(i) && v2Storage.hasKey(i)) {
                    newStorage.set(i, op.apply(v1.get(i), v2.get(i)));
                } else if (v1Storage.hasKey(i) && !v2Storage.hasKey(i)) {
                    newStorage.set(i, op.apply(v1.get(i), 0));
                } else if (!v1Storage.hasKey(i) && v2Storage.hasKey(i)) {
                    newStorage.set(i, op.apply(0, v2.get(i)));
                } else {
                    newStorage.set(i, op.apply(0, 0));
                }
            }
            res = new LongLongVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), newStorage);
        }
    } else if (v1.isSorted() && v2.isSorted()) {
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            LongLongVectorStorage newStorage = v1.getStorage().emptySorted((int) (v1.getDim()));
            long[] resIndices = newStorage.getIndices();
            long[] resValues = newStorage.getValues();
            int v1Pointor = 0;
            int v2Pointor = 0;
            long size1 = v1.size();
            long size2 = v2.size();
            long[] v1Indices = v1.getStorage().getIndices();
            long[] v1Values = v1.getStorage().getValues();
            long[] v2Indices = v2.getStorage().getIndices();
            long[] 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;
                    }
                }
            }
            int globalPointor = 0;
            while (v1Pointor < size1 && v2Pointor < size2) {
                if (v1Indices[v1Pointor] == v2Indices[v2Pointor]) {
                    resIndices[globalPointor] = v1Indices[v1Pointor];
                    resValues[globalPointor] = op.apply(v1Values[v1Pointor], v2Values[v2Pointor]);
                    v1Pointor++;
                    v2Pointor++;
                    globalPointor++;
                } else if (v1Indices[v1Pointor] < v2Indices[v2Pointor]) {
                    resIndices[globalPointor] = v1Indices[v1Pointor];
                    resValues[globalPointor] = op.apply(v2Values[v2Pointor], 0);
                    v1Pointor++;
                    globalPointor++;
                } else {
                    // v1Indices[v1Pointor] > v2Indices[v2Pointor]
                    resIndices[globalPointor] = v2Indices[v2Pointor];
                    resValues[globalPointor] = op.apply(0, v2Values[v2Pointor]);
                    v2Pointor++;
                    globalPointor++;
                }
            }
            res = new LongLongVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), newStorage);
        }
    } else {
        throw new AngelException("The operation is not support!");
    }
    return res;
}
Also used : AngelException(com.tencent.angel.exception.AngelException) LongLongVector(com.tencent.angel.ml.math2.vector.LongLongVector) LongLongVectorStorage(com.tencent.angel.ml.math2.storage.LongLongVectorStorage) LongLongSparseVectorStorage(com.tencent.angel.ml.math2.storage.LongLongSparseVectorStorage)

Example 25 with LongLongVector

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

the class SimpleBinaryOutAllExecutor method apply.

public static Vector apply(LongFloatVector v1, LongLongVector v2, Binary op) {
    LongFloatVector res;
    if (v1.isSparse() && v2.isSparse()) {
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            // multi-rehash
            LongFloatVectorStorage newStorage = v1.getStorage().emptySparse((int) (v1.getDim()));
            LongFloatVectorStorage v1Storage = v1.getStorage();
            LongLongVectorStorage v2Storage = v2.getStorage();
            for (int i = 0; i < v1.getDim(); i++) {
                if (v1Storage.hasKey(i) && v2Storage.hasKey(i)) {
                    newStorage.set(i, op.apply(v1.get(i), v2.get(i)));
                } else if (v1Storage.hasKey(i) && !v2Storage.hasKey(i)) {
                    newStorage.set(i, op.apply(v1.get(i), 0));
                } else if (!v1Storage.hasKey(i) && v2Storage.hasKey(i)) {
                    newStorage.set(i, op.apply(0, v2.get(i)));
                } else {
                    newStorage.set(i, op.apply(0.0f, 0));
                }
            }
            res = new LongFloatVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), newStorage);
        }
    } else if (v1.isSparse() && v2.isSorted()) {
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            LongFloatVectorStorage newStorage = v1.getStorage().emptySparse((int) (v1.getDim()));
            LongFloatVectorStorage v1Storage = v1.getStorage();
            LongLongVectorStorage v2Storage = v2.getStorage();
            for (int i = 0; i < v1.getDim(); i++) {
                if (v1Storage.hasKey(i) && v2Storage.hasKey(i)) {
                    newStorage.set(i, op.apply(v1.get(i), v2.get(i)));
                } else if (v1Storage.hasKey(i) && !v2Storage.hasKey(i)) {
                    newStorage.set(i, op.apply(v1.get(i), 0));
                } else if (!v1Storage.hasKey(i) && v2Storage.hasKey(i)) {
                    newStorage.set(i, op.apply(0, v2.get(i)));
                } else {
                    newStorage.set(i, op.apply(0.0f, 0));
                }
            }
            res = new LongFloatVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), newStorage);
        }
    } else if (v1.isSorted() && v2.isSparse()) {
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            LongFloatVectorStorage newStorage = new LongFloatSparseVectorStorage(v1.getDim());
            LongFloatVectorStorage v1Storage = v1.getStorage();
            LongLongVectorStorage v2Storage = v2.getStorage();
            for (int i = 0; i < v1.getDim(); i++) {
                if (v1Storage.hasKey(i) && v2Storage.hasKey(i)) {
                    newStorage.set(i, op.apply(v1.get(i), v2.get(i)));
                } else if (v1Storage.hasKey(i) && !v2Storage.hasKey(i)) {
                    newStorage.set(i, op.apply(v1.get(i), 0));
                } else if (!v1Storage.hasKey(i) && v2Storage.hasKey(i)) {
                    newStorage.set(i, op.apply(0, v2.get(i)));
                } else {
                    newStorage.set(i, op.apply(0.0f, 0));
                }
            }
            res = new LongFloatVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), newStorage);
        }
    } else if (v1.isSorted() && v2.isSorted()) {
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            LongFloatVectorStorage newStorage = v1.getStorage().emptySorted((int) (v1.getDim()));
            long[] resIndices = newStorage.getIndices();
            float[] resValues = newStorage.getValues();
            int v1Pointor = 0;
            int v2Pointor = 0;
            long size1 = v1.size();
            long size2 = v2.size();
            long[] v1Indices = v1.getStorage().getIndices();
            float[] v1Values = v1.getStorage().getValues();
            long[] v2Indices = v2.getStorage().getIndices();
            long[] v2Values = v2.getStorage().getValues();
            if (!op.isCompare()) {
                for (int i = 0; i < resValues.length; i++) {
                    resValues[i] = Float.NaN;
                }
            }
            int globalPointor = 0;
            while (v1Pointor < size1 && v2Pointor < size2) {
                if (v1Indices[v1Pointor] == v2Indices[v2Pointor]) {
                    resIndices[globalPointor] = v1Indices[v1Pointor];
                    resValues[globalPointor] = op.apply(v1Values[v1Pointor], v2Values[v2Pointor]);
                    v1Pointor++;
                    v2Pointor++;
                    globalPointor++;
                } else if (v1Indices[v1Pointor] < v2Indices[v2Pointor]) {
                    resIndices[globalPointor] = v1Indices[v1Pointor];
                    resValues[globalPointor] = op.apply(v2Values[v2Pointor], 0);
                    v1Pointor++;
                    globalPointor++;
                } else {
                    // v1Indices[v1Pointor] > v2Indices[v2Pointor]
                    resIndices[globalPointor] = v2Indices[v2Pointor];
                    resValues[globalPointor] = op.apply(0, v2Values[v2Pointor]);
                    v2Pointor++;
                    globalPointor++;
                }
            }
            res = new LongFloatVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), newStorage);
        }
    } else {
        throw new AngelException("The operation is not support!");
    }
    return res;
}
Also used : AngelException(com.tencent.angel.exception.AngelException) LongFloatVectorStorage(com.tencent.angel.ml.math2.storage.LongFloatVectorStorage) LongFloatVector(com.tencent.angel.ml.math2.vector.LongFloatVector) LongLongVectorStorage(com.tencent.angel.ml.math2.storage.LongLongVectorStorage) LongFloatSparseVectorStorage(com.tencent.angel.ml.math2.storage.LongFloatSparseVectorStorage)

Aggregations

LongLongVectorStorage (com.tencent.angel.ml.math2.storage.LongLongVectorStorage)45 LongLongVector (com.tencent.angel.ml.math2.vector.LongLongVector)36 LongDoubleVectorStorage (com.tencent.angel.ml.math2.storage.LongDoubleVectorStorage)33 LongFloatVectorStorage (com.tencent.angel.ml.math2.storage.LongFloatVectorStorage)33 LongIntVectorStorage (com.tencent.angel.ml.math2.storage.LongIntVectorStorage)32 LongLongSparseVectorStorage (com.tencent.angel.ml.math2.storage.LongLongSparseVectorStorage)31 IntDoubleVectorStorage (com.tencent.angel.ml.math2.storage.IntDoubleVectorStorage)30 IntFloatVectorStorage (com.tencent.angel.ml.math2.storage.IntFloatVectorStorage)30 IntIntVectorStorage (com.tencent.angel.ml.math2.storage.IntIntVectorStorage)30 IntLongVectorStorage (com.tencent.angel.ml.math2.storage.IntLongVectorStorage)30 Storage (com.tencent.angel.ml.math2.storage.Storage)30 LongLongSortedVectorStorage (com.tencent.angel.ml.math2.storage.LongLongSortedVectorStorage)24 Long2LongMap (it.unimi.dsi.fastutil.longs.Long2LongMap)23 LongDoubleSparseVectorStorage (com.tencent.angel.ml.math2.storage.LongDoubleSparseVectorStorage)22 LongFloatSparseVectorStorage (com.tencent.angel.ml.math2.storage.LongFloatSparseVectorStorage)22 CompLongLongVector (com.tencent.angel.ml.math2.vector.CompLongLongVector)22 LongDoubleSortedVectorStorage (com.tencent.angel.ml.math2.storage.LongDoubleSortedVectorStorage)21 LongFloatSortedVectorStorage (com.tencent.angel.ml.math2.storage.LongFloatSortedVectorStorage)21 IntDoubleSortedVectorStorage (com.tencent.angel.ml.math2.storage.IntDoubleSortedVectorStorage)20 IntDoubleSparseVectorStorage (com.tencent.angel.ml.math2.storage.IntDoubleSparseVectorStorage)20