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

Example 16 with LongFloatVectorStorage

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

the class MixedBinaryOutAllExecutor method apply.

private static Vector apply(CompLongFloatVector v1, LongDummyVector v2, Binary op) {
    LongFloatVector[] 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 LongFloatSortedVectorStorage) {
                resParts[i] = new LongFloatSparseVectorStorage(parts[i].getDim(), parts[i].getStorage().getIndices(), parts[i].getStorage().getValues());
            }
        }
    }
    long subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
    for (int i = 0; i < v1.getDim(); i++) {
        int pidx = (int) (i / subDim);
        long subidx = i % subDim;
        ((LongFloatVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), v2.get(i)));
    }
    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());
}

Example 17 with LongFloatVectorStorage

use of com.tencent.angel.ml.math2.storage.LongFloatVectorStorage 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());
}

Example 18 with LongFloatVectorStorage

use of com.tencent.angel.ml.math2.storage.LongFloatVectorStorage 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());
}

Example 19 with LongFloatVectorStorage

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

the class SimpleBinaryOutAllExecutor method apply.

public static Vector apply(LongFloatVector v1, LongDummyVector v2, Binary op) {
    LongFloatVector res;
    if (v1.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();
            for (int i = 0; i < v1.getDim(); i++) {
                if (v1Storage.hasKey(i)) {
                    newStorage.set(i, op.apply(v1.get(i), v2.get(i)));
                } else {
                    newStorage.set(i, op.apply(0.0f, v2.get(i)));
                }
            }
            res = new LongFloatVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), newStorage);
        }
    } else {
        // sorted
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            LongFloatVectorStorage newStorage = new LongFloatSparseVectorStorage(v1.getDim());
            LongFloatVectorStorage v1Storage = v1.getStorage();
            for (int i = 0; i < v1.getDim(); i++) {
                if (v1Storage.hasKey(i)) {
                    newStorage.set(i, op.apply(v1.get(i), v2.get(i)));
                } else {
                    newStorage.set(i, op.apply(0.0f, v2.get(i)));
                }
            }
            res = new LongFloatVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), newStorage);
        }
    }
    return res;
}

Example 20 with LongFloatVectorStorage

use of com.tencent.angel.ml.math2.storage.LongFloatVectorStorage 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;
}