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

Example 16 with LongIntSparseVectorStorage

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

the class RBLongIntMatrix method initEmpty.

@Override
public void initEmpty(int idx) {
    if (null == rows[idx]) {
        LongIntSparseVectorStorage storage = new LongIntSparseVectorStorage((long) getDim());
        rows[idx] = new LongIntVector(matrixId, idx, clock, (long) getDim(), storage);
    }
}

Example 17 with LongIntSparseVectorStorage

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

the class SimpleBinaryOutAllExecutor method apply.

public static Vector apply(LongIntVector v1, LongDummyVector v2, Binary op) {
    LongIntVector res;
    if (v1.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();
            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, v2.get(i)));
                }
            }
            res = new LongIntVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), newStorage);
        }
    } else {
        // sorted
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            LongIntVectorStorage newStorage = new LongIntSparseVectorStorage(v1.getDim());
            LongIntVectorStorage 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, v2.get(i)));
                }
            }
            res = new LongIntVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), newStorage);
        }
    }
    return res;
}

Example 18 with LongIntSparseVectorStorage

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

the class SimpleBinaryInAllExecutor method apply.

public static Vector apply(LongIntVector v1, LongDummyVector v2, Binary op) {
    if (v1.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();
            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, v2.get(i)));
                }
            }
            v1.setStorage(newStorage);
        }
    } else {
        // sorted
        if (op.isKeepStorage()) {
            throw new AngelException("operation is not support!");
        } else {
            LongIntVectorStorage newStorage = new LongIntSparseVectorStorage(v1.getDim());
            LongIntVectorStorage 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, v2.get(i)));
                }
            }
            v1.setStorage(newStorage);
        }
    }
    return v1;
}

Example 19 with LongIntSparseVectorStorage

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

the class StreamSerdeUtils method deserializeLongIntVector.

private static LongIntVector deserializeLongIntVector(DataInputStream in, long dim) throws IOException {
    int storageType = deserializeInt(in);
    switch(storageType) {
        case SPARSE_STORAGE_TYPE:
            int len = deserializeInt(in);
            Long2IntOpenHashMap idToValueMap = new Long2IntOpenHashMap(len);
            for (int i = 0; i < len; i++) {
                idToValueMap.put(deserializeInt(in), deserializeInt(in));
            }
            return new LongIntVector((int) dim, new LongIntSparseVectorStorage((int) dim, idToValueMap));
        case SORTED_STORAGE_TYPE:
            return VFactory.sortedLongKeyIntVector((int) dim, deserializeLongs(in), deserializeInts(in));
        default:
            throw new UnsupportedOperationException("Unsupport storage type " + storageType);
    }
}

Example 20 with LongIntSparseVectorStorage

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

the class SimpleBinaryOutAllExecutor method apply.

public static Vector apply(LongIntVector v1, LongIntVector v2, Binary op) {
    LongIntVector res;
    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));
                }
            }
            res = new LongIntVector(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 {
            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));
                }
            }
            res = new LongIntVector(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 {
            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));
                }
            }
            res = new LongIntVector(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 {
            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++;
                }
            }
            res = new LongIntVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), newStorage);
        }
    } else {
        throw new AngelException("The operation is not support!");
    }
    return res;
}