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

Example 6 with LongIntVectorStorage

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

the class LongIntVector method min.

public int min() {
    LongIntVectorStorage idstorage = (LongIntVectorStorage) storage;
    if (idstorage.size() == 0)
        return 0;
    int minval = Integer.MAX_VALUE;
    if (idstorage.isSparse()) {
        IntIterator iter = idstorage.valueIterator();
        while (iter.hasNext()) {
            int val = iter.nextInt();
            if (val < minval) {
                minval = val;
            }
        }
    } else {
        for (int val : idstorage.getValues()) {
            if (val < minval) {
                minval = val;
            }
        }
    }
    return minval;
}

Example 7 with LongIntVectorStorage

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

the class LongIntVector method average.

public double average() {
    LongIntVectorStorage dstorage = (LongIntVectorStorage) storage;
    if (dstorage.size() == 0)
        return 0;
    double sumval = 0.0;
    if (dstorage.isSparse()) {
        IntIterator iter = dstorage.valueIterator();
        while (iter.hasNext()) {
            sumval += iter.nextInt();
        }
    } else {
        for (double val : dstorage.getValues()) {
            sumval += val;
        }
    }
    sumval /= getDim();
    return sumval;
}

Example 8 with LongIntVectorStorage

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

the class ColumnFormat method saveLongIntRows.

private void saveLongIntRows(ServerPartition part, ServerRow[] rows, MatrixPartitionMeta partMeta, PSMatrixSaveContext saveContext, DataOutputStream output) throws IOException {
    Vector vec = ServerRowUtils.getVector((ServerLongIntRow) rows[0]);
    // int size = rows.size();
    long indexOffset = part.getPartitionKey().getStartCol();
    LongIntsCol col = new LongIntsCol(0, new int[rows.length]);
    if (vec instanceof IntIntVector) {
        IntIntVectorStorage storage = ((IntIntVector) vec).getStorage();
        long startCol = rows[0].getStartCol();
        long endCol = rows[0].getEndCol();
        if (storage.isDense()) {
            for (long i = startCol; i < endCol; i++) {
                col.colId = i;
                for (int j = 0; j < rows.length; j++) {
                    col.colElems[j] = ((ServerLongIntRow) (rows[j])).get(col.colId);
                }
                save(col, output);
            }
        } else {
            if (saveContext.sortFirst()) {
                int[] indices = storage.getIndices();
                Sort.quickSort(indices, 0, indices.length - 1);
                for (int i = 0; i < indices.length; i++) {
                    col.colId = indices[i] + indexOffset;
                    for (int j = 0; j < rows.length; j++) {
                        col.colElems[j] = ((ServerLongIntRow) (rows[j])).get(col.colId);
                    }
                    save(col, output);
                }
            } else {
                ObjectIterator<Int2IntMap.Entry> iter = storage.entryIterator();
                while (iter.hasNext()) {
                    col.colId = iter.next().getIntKey() + indexOffset;
                    for (int j = 0; j < rows.length; j++) {
                        col.colElems[j] = ((ServerLongIntRow) (rows[j])).get(col.colId);
                    }
                    save(col, output);
                }
            }
        }
    } else {
        LongIntVectorStorage storage = ((LongIntVector) vec).getStorage();
        if (saveContext.sortFirst()) {
            long[] indices = storage.getIndices();
            Sort.quickSort(indices, 0, indices.length - 1);
            for (int i = 0; i < indices.length; i++) {
                col.colId = indices[i] + indexOffset;
                for (int j = 0; j < rows.length; j++) {
                    col.colElems[j] = ((ServerLongIntRow) (rows[j])).get(col.colId);
                }
                save(col, output);
            }
        } else {
            ObjectIterator<Long2IntMap.Entry> iter = storage.entryIterator();
            while (iter.hasNext()) {
                col.colId = iter.next().getLongKey() + indexOffset;
                for (int j = 0; j < rows.length; j++) {
                    col.colElems[j] = ((ServerLongIntRow) (rows[j])).get(col.colId);
                }
                save(col, output);
            }
        }
    }
}

Example 9 with LongIntVectorStorage

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

the class SimpleBinaryInAllExecutor method apply.

public static Vector apply(LongIntVector v1, LongIntVector v2, Binary op) {
    if (v1.isSparse() && v2.isSparse()) {
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            // multi-rehash
            LongIntVectorStorage newStorage = v1.getStorage().emptySparse((int) (v1.getDim()));
            LongIntVectorStorage v1Storage = v1.getStorage();
            LongIntVectorStorage 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));
                }
            }
            v1.setStorage(newStorage);
        }
    } else if (v1.isSparse() && v2.isSorted()) {
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            LongIntVectorStorage newStorage = v1.getStorage().emptySparse((int) (v1.getDim()));
            LongIntVectorStorage v1Storage = v1.getStorage();
            LongIntVectorStorage 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));
                }
            }
            v1.setStorage(newStorage);
        }
    } else if (v1.isSorted() && v2.isSparse()) {
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            LongIntVectorStorage newStorage = new LongIntSparseVectorStorage(v1.getDim());
            LongIntVectorStorage v1Storage = v1.getStorage();
            LongIntVectorStorage 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));
                }
            }
            v1.setStorage(newStorage);
        }
    } else if (v1.isSorted() && v2.isSorted()) {
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            LongIntVectorStorage newStorage = v1.getStorage().emptySorted((int) (v1.getDim()));
            long[] resIndices = newStorage.getIndices();
            int[] resValues = newStorage.getValues();
            int v1Pointor = 0;
            int v2Pointor = 0;
            long size1 = v1.size();
            long size2 = v2.size();
            long[] v1Indices = v1.getStorage().getIndices();
            int[] v1Values = v1.getStorage().getValues();
            long[] 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;
                    }
                }
            }
            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++;
                }
            }
            v1.setStorage(newStorage);
        }
    } else {
        throw new AngelException("The operation is not support!");
    }
    return v1;
}

Example 10 with LongIntVectorStorage

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

the class MixedBinaryOutAllExecutor method apply.

private static Vector apply(CompLongIntVector v1, LongIntVector v2, Binary op) {
    LongIntVector[] 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 LongIntSortedVectorStorage) {
                resParts[i] = new LongIntSparseVectorStorage(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;
        if (v2.getStorage().hasKey(i)) {
            ((LongIntVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), v2.get(i)));
        } else {
            ((LongIntVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), 0));
        }
    }
    LongIntVector[] res = new LongIntVector[parts.length];
    int i = 0;
    for (LongIntVector part : parts) {
        res[i] = new LongIntVector(part.getMatrixId(), part.getRowId(), part.getClock(), part.getDim(), (LongIntVectorStorage) resParts[i]);
        i++;
    }
    return new CompLongIntVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), res, v1.getSubDim());
}