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Example 61 with IntLongVector

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

the class MixedBinaryOutNonZAExecutor method apply.

private static Vector apply(CompIntLongVector v1, IntLongVector v2, Binary op) {
    IntLongVector[] parts = v1.getPartitions();
    Storage[] resParts = StorageSwitch.applyComp(v1, v2, op);
    if (v2.isDense()) {
        long[] v2Values = v2.getStorage().getValues();
        int base = 0, k = 0;
        for (IntLongVector part : parts) {
            IntLongVectorStorage resPart = (IntLongVectorStorage) resParts[k];
            long[] newValues = resPart.getValues();
            if (part.isDense()) {
                long[] partValue = part.getStorage().getValues();
                for (int i = 0; i < partValue.length; i++) {
                    int idx = i + base;
                    newValues[i] = op.apply(partValue[i], v2Values[idx]);
                }
            } 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<Int2LongMap.Entry> iter = part.getStorage().entryIterator();
                    while (iter.hasNext()) {
                        Int2LongMap.Entry entry = iter.next();
                        int idx = entry.getIntKey();
                        resPart.set(idx, op.apply(entry.getLongValue(), v2Values[idx + base]));
                    }
                } else {
                    for (int i = 0; i < newValues.length; 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 dim = part.getDim();
                    int[] resIndices = resPart.getIndices();
                    long[] resValues = resPart.getValues();
                    int[] partIndices = part.getStorage().getIndices();
                    long[] partValues = part.getStorage().getValues();
                    for (int i = 0; i < dim; i++) {
                        resIndices[i] = i;
                        resValues[i] = op.apply(0, v2Values[i + base]);
                    }
                    int size = part.size();
                    for (int i = 0; i < size; i++) {
                        int idx = partIndices[i];
                        resValues[idx] = op.apply(partValues[i], v2Values[idx + base]);
                    }
                } else {
                    if (part.size() < Constant.denseLoopThreshold * part.getDim()) {
                        int[] partIndices = part.getStorage().getIndices();
                        long[] partValues = part.getStorage().getValues();
                        for (int i = 0; i < part.getDim(); i++) {
                            newValues[i] = op.apply(0, v2Values[i + base]);
                        }
                        int size = part.size();
                        for (int i = 0; i < size; i++) {
                            int idx = partIndices[i];
                            newValues[idx] = op.apply(partValues[i], v2Values[idx + base]);
                        }
                    } else {
                        IntLongVectorStorage partStorage = part.getStorage();
                        for (int i = 0; i < newValues.length; i++) {
                            if (partStorage.hasKey(i)) {
                                newValues[i] = op.apply(partStorage.get(i), v2Values[i + base]);
                            } else {
                                newValues[i] = op.apply(0, v2Values[i + base]);
                            }
                        }
                    }
                }
            }
            base += part.getDim();
            k++;
        }
    } else {
        if (v2.isSparse()) {
            if (!op.isKeepStorage()) {
                for (int i = 0; i < parts.length; i++) {
                    if (parts[i].getStorage() instanceof IntLongSortedVectorStorage) {
                        resParts[i] = new IntLongSparseVectorStorage(parts[i].getDim(), parts[i].getStorage().getIndices(), parts[i].getStorage().getValues());
                    }
                }
            }
            int subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
            ObjectIterator<Int2LongMap.Entry> iter = v2.getStorage().entryIterator();
            while (iter.hasNext()) {
                Int2LongMap.Entry entry = iter.next();
                int gidx = entry.getIntKey();
                int pidx = (int) (gidx / subDim);
                int subidx = gidx % subDim;
                ((IntLongVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), entry.getLongValue()));
            }
        } else {
            // sorted
            if (!op.isKeepStorage()) {
                for (int i = 0; i < parts.length; i++) {
                    if (parts[i].getStorage() instanceof IntLongSortedVectorStorage) {
                        resParts[i] = new IntLongSparseVectorStorage(parts[i].getDim(), parts[i].getStorage().getIndices(), parts[i].getStorage().getValues());
                    }
                }
            }
            int subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
            int[] v2Indices = v2.getStorage().getIndices();
            long[] v2Values = v2.getStorage().getValues();
            for (int i = 0; i < v2Indices.length; i++) {
                int gidx = v2Indices[i];
                int pidx = (int) (gidx / subDim);
                int subidx = gidx % subDim;
                ((IntLongVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), v2Values[i]));
            }
        }
    }
    IntLongVector[] res = new IntLongVector[parts.length];
    int i = 0;
    for (IntLongVector part : parts) {
        res[i] = new IntLongVector(part.getMatrixId(), part.getRowId(), part.getClock(), part.getDim(), (IntLongVectorStorage) resParts[i]);
        i++;
    }
    return new CompIntLongVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), res, v1.getSubDim());
}
Also used : IntLongVector(com.tencent.angel.ml.math2.vector.IntLongVector) CompIntLongVector(com.tencent.angel.ml.math2.vector.CompIntLongVector) IntLongSortedVectorStorage(com.tencent.angel.ml.math2.storage.IntLongSortedVectorStorage) CompIntLongVector(com.tencent.angel.ml.math2.vector.CompIntLongVector) ObjectIterator(it.unimi.dsi.fastutil.objects.ObjectIterator) IntLongSparseVectorStorage(com.tencent.angel.ml.math2.storage.IntLongSparseVectorStorage) 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) IntLongVectorStorage(com.tencent.angel.ml.math2.storage.IntLongVectorStorage) Int2LongMap(it.unimi.dsi.fastutil.ints.Int2LongMap)

Example 62 with IntLongVector

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

the class MixedBinaryOutNonZAExecutor method apply.

private static Vector apply(CompIntDoubleVector v1, IntLongVector v2, Binary op) {
    IntDoubleVector[] parts = v1.getPartitions();
    Storage[] resParts = StorageSwitch.applyComp(v1, v2, op);
    if (v2.isDense()) {
        long[] v2Values = v2.getStorage().getValues();
        int base = 0, k = 0;
        for (IntDoubleVector part : parts) {
            IntDoubleVectorStorage resPart = (IntDoubleVectorStorage) resParts[k];
            double[] newValues = resPart.getValues();
            if (part.isDense()) {
                double[] partValue = part.getStorage().getValues();
                for (int i = 0; i < partValue.length; i++) {
                    int idx = i + base;
                    newValues[i] = op.apply(partValue[i], v2Values[idx]);
                }
            } 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 < newValues.length; 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 dim = part.getDim();
                    int[] resIndices = resPart.getIndices();
                    double[] resValues = resPart.getValues();
                    int[] partIndices = part.getStorage().getIndices();
                    double[] partValues = part.getStorage().getValues();
                    for (int i = 0; i < dim; i++) {
                        resIndices[i] = i;
                        resValues[i] = op.apply(0, v2Values[i + base]);
                    }
                    int size = part.size();
                    for (int i = 0; i < size; i++) {
                        int idx = partIndices[i];
                        resValues[idx] = op.apply(partValues[i], v2Values[idx + base]);
                    }
                } else {
                    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++) {
                            newValues[i] = op.apply(0, v2Values[i + base]);
                        }
                        int size = part.size();
                        for (int i = 0; i < size; i++) {
                            int idx = partIndices[i];
                            newValues[idx] = op.apply(partValues[i], v2Values[idx + base]);
                        }
                    } else {
                        IntDoubleVectorStorage partStorage = part.getStorage();
                        for (int i = 0; i < newValues.length; i++) {
                            if (partStorage.hasKey(i)) {
                                newValues[i] = op.apply(partStorage.get(i), v2Values[i + base]);
                            } else {
                                newValues[i] = op.apply(0, v2Values[i + base]);
                            }
                        }
                    }
                }
            }
            base += part.getDim();
            k++;
        }
    } else {
        if (v2.isSparse()) {
            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();
            ObjectIterator<Int2LongMap.Entry> iter = v2.getStorage().entryIterator();
            while (iter.hasNext()) {
                Int2LongMap.Entry entry = iter.next();
                int gidx = entry.getIntKey();
                int pidx = (int) (gidx / subDim);
                int subidx = gidx % subDim;
                ((IntDoubleVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), entry.getLongValue()));
            }
        } else {
            // sorted
            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();
            int[] v2Indices = v2.getStorage().getIndices();
            long[] v2Values = v2.getStorage().getValues();
            for (int i = 0; i < v2Indices.length; i++) {
                int gidx = v2Indices[i];
                int pidx = (int) (gidx / subDim);
                int subidx = gidx % subDim;
                ((IntDoubleVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), v2Values[i]));
            }
        }
    }
    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) Int2LongMap(it.unimi.dsi.fastutil.ints.Int2LongMap) IntDoubleSortedVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleSortedVectorStorage) CompIntDoubleVector(com.tencent.angel.ml.math2.vector.CompIntDoubleVector)

Example 63 with IntLongVector

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

the class CompReduceExecutor method apply.

private static UnionEle apply(CompIntLongVector v, ReduceOP op, int start, int end) {
    UnionEle res = new UnionEle();
    IntLongVector[] parts = v.getPartitions();
    switch(op) {
        case Sum:
            for (int i = start; i <= end; i++) {
                res.setDouble1(res.getDouble1() + parts[i].sum());
            }
            break;
        case Avg:
            for (int i = start; i <= end; i++) {
                res.setDouble1(res.getDouble1() + parts[i].sum());
                res.setLong1(res.getLong1() + parts[i].getDim());
            }
            break;
        case Std:
            for (int i = start; i <= end; i++) {
                res.setDouble1(res.getDouble1() + parts[i].sum());
                double norm = parts[i].norm();
                res.setDouble2(res.getDouble2() + norm * norm);
                res.setLong1(res.getLong1() + parts[i].getDim());
            }
            break;
        case Norm:
            for (int i = start; i <= end; i++) {
                double norm = parts[i].norm();
                res.setDouble2(res.getDouble2() + norm * norm);
            }
            break;
        case Min:
            res.setDouble1(Double.MAX_VALUE);
            for (int i = start; i <= end; i++) {
                res.setDouble1(Math.min(res.getDouble1(), parts[i].min()));
            }
            break;
        case Max:
            res.setDouble1(Double.MIN_VALUE);
            for (int i = start; i <= end; i++) {
                res.setDouble1(Math.max(res.getDouble1(), parts[i].max()));
            }
            break;
        case Size:
            for (int i = start; i <= end; i++) {
                res.setLong1(res.getLong1() + parts[i].size());
            }
            break;
        case Numzeros:
            for (int i = start; i <= end; i++) {
                res.setLong1(res.getLong1() + parts[i].numZeros());
            }
            break;
    }
    return res;
}
Also used : CompIntLongVector(com.tencent.angel.ml.math2.vector.CompIntLongVector) IntLongVector(com.tencent.angel.ml.math2.vector.IntLongVector) UnionEle(com.tencent.angel.ml.math2.utils.UnionEle)

Example 64 with IntLongVector

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

the class UpdatePSFTest method testDenseLongUDF.

public void testDenseLongUDF() throws Exception {
    Worker worker = LocalClusterContext.get().getWorker(workerAttempt0Id).getWorker();
    MatrixClient client1 = worker.getPSAgent().getMatrixClient(DENSE_LONG_MAT, 0);
    int matrixW1Id = client1.getMatrixId();
    int[] index = genIndexs(feaNum, nnz);
    IntLongVector deltaVec = new IntLongVector(feaNum, new IntLongDenseVectorStorage(feaNum));
    for (int i = 0; i < feaNum; i++) {
        deltaVec.set(i, i);
    }
    deltaVec.setRowId(0);
    Vector[] updates = new Vector[1];
    updates[0] = deltaVec;
    client1.asyncUpdate(new IncrementRows(new IncrementRowsParam(matrixW1Id, updates))).get();
    IntLongVector row = (IntLongVector) client1.getRow(0);
    for (int id : index) {
        // System.out.println("id=" + id + ", value=" + row.get(id));
        Assert.assertEquals(row.get(id), deltaVec.get(id));
    }
    Assert.assertTrue(feaNum == row.size());
}
Also used : IntLongVector(com.tencent.angel.ml.math2.vector.IntLongVector) IncrementRowsParam(com.tencent.angel.ml.matrix.psf.update.update.IncrementRowsParam) IncrementRows(com.tencent.angel.ml.matrix.psf.update.update.IncrementRows) Worker(com.tencent.angel.worker.Worker) MatrixClient(com.tencent.angel.psagent.matrix.MatrixClient) IntLongDenseVectorStorage(com.tencent.angel.ml.math2.storage.IntLongDenseVectorStorage) IntLongVector(com.tencent.angel.ml.math2.vector.IntLongVector) LongIntVector(com.tencent.angel.ml.math2.vector.LongIntVector) Vector(com.tencent.angel.ml.math2.vector.Vector) LongFloatVector(com.tencent.angel.ml.math2.vector.LongFloatVector) IntDoubleVector(com.tencent.angel.ml.math2.vector.IntDoubleVector) IntFloatVector(com.tencent.angel.ml.math2.vector.IntFloatVector) LongDoubleVector(com.tencent.angel.ml.math2.vector.LongDoubleVector) LongLongVector(com.tencent.angel.ml.math2.vector.LongLongVector) IntIntVector(com.tencent.angel.ml.math2.vector.IntIntVector)

Example 65 with IntLongVector

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

the class RBIntLongMatrix method diag.

@Override
public Vector diag() {
    long[] resArr = new long[rows.length];
    for (int i = 0; i < rows.length; i++) {
        if (null == rows[i]) {
            resArr[i] = 0;
        } else {
            resArr[i] = rows[i].get(i);
        }
    }
    IntLongDenseVectorStorage storage = new IntLongDenseVectorStorage(resArr);
    return new IntLongVector(getMatrixId(), 0, getClock(), resArr.length, storage);
}
Also used : IntLongVector(com.tencent.angel.ml.math2.vector.IntLongVector) IntLongDenseVectorStorage(com.tencent.angel.ml.math2.storage.IntLongDenseVectorStorage)

Aggregations

ObjectIterator (it.unimi.dsi.fastutil.objects.ObjectIterator)55 Int2LongMap (it.unimi.dsi.fastutil.ints.Int2LongMap)52 IntLongVector (com.tencent.angel.ml.math2.vector.IntLongVector)47 IntLongVectorStorage (com.tencent.angel.ml.math2.storage.IntLongVectorStorage)45 IntDoubleVectorStorage (com.tencent.angel.ml.math2.storage.IntDoubleVectorStorage)33 IntFloatVectorStorage (com.tencent.angel.ml.math2.storage.IntFloatVectorStorage)33 IntIntVectorStorage (com.tencent.angel.ml.math2.storage.IntIntVectorStorage)32 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 IntLongSparseVectorStorage (com.tencent.angel.ml.math2.storage.IntLongSparseVectorStorage)25 CompIntLongVector (com.tencent.angel.ml.math2.vector.CompIntLongVector)25 IntLongSortedVectorStorage (com.tencent.angel.ml.math2.storage.IntLongSortedVectorStorage)24 IntDoubleSortedVectorStorage (com.tencent.angel.ml.math2.storage.IntDoubleSortedVectorStorage)21 IntFloatSortedVectorStorage (com.tencent.angel.ml.math2.storage.IntFloatSortedVectorStorage)21 IntDoubleSparseVectorStorage (com.tencent.angel.ml.math2.storage.IntDoubleSparseVectorStorage)20 IntFloatSparseVectorStorage (com.tencent.angel.ml.math2.storage.IntFloatSparseVectorStorage)20 IntIntSortedVectorStorage (com.tencent.angel.ml.math2.storage.IntIntSortedVectorStorage)20