Examples with LongFloatVector com.tencent.angel.ml.math2.vector.LongFloatVector used on opensource projects

Example 41 with LongFloatVector

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

the class RangeRouterUtils method splitLongFloatVector.

public static KeyValuePart[] splitLongFloatVector(MatrixMeta matrixMeta, LongFloatVector vector) {
    LongFloatVectorStorage storage = vector.getStorage();
    if (storage.isSparse()) {
        // Get keys and values
        LongFloatSparseVectorStorage sparseStorage = (LongFloatSparseVectorStorage) storage;
        long[] keys = sparseStorage.getIndices();
        float[] values = sparseStorage.getValues();
        return split(matrixMeta, vector.getRowId(), keys, values, false);
    } else {
        // Key and value array pair
        LongFloatSortedVectorStorage sortStorage = (LongFloatSortedVectorStorage) storage;
        long[] keys = sortStorage.getIndices();
        float[] values = sortStorage.getValues();
        return split(matrixMeta, vector.getRowId(), keys, values, true);
    }
}

Example 42 with LongFloatVector

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

the class MixedBinaryInAllExecutor method apply.

private static Vector apply(CompLongFloatVector v1, LongFloatVector 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;
        if (v2.getStorage().hasKey(i)) {
            ((LongFloatVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), v2.get(i)));
        } else {
            ((LongFloatVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), 0));
        }
    }
    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++;
    }
    v1.setPartitions(res);
    return v1;
}

Example 43 with LongFloatVector

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

the class MixedBinaryInAllExecutor 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++;
    }
    v1.setPartitions(res);
    return v1;
}

Example 44 with LongFloatVector

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

the class DotMatrixExecutor method apply.

private static Matrix apply(BlasFloatMatrix mat1, boolean trans1, RBLongFloatMatrix mat2, boolean trans2) {
    if (trans1 && !trans2) {
        int outputRows = mat1.getNumCols();
        LongFloatVector[] rows = new LongFloatVector[outputRows];
        for (int i = 0; i < outputRows; i++) {
            Vector col = mat1.getCol(i);
            rows[i] = (LongFloatVector) mat2.transDot(col);
        }
        return MFactory.rbLongFloatMatrix(rows);
    } else if (!trans1 && !trans2) {
        int outputRows = mat1.getNumRows();
        LongFloatVector[] rows = new LongFloatVector[outputRows];
        for (int i = 0; i < outputRows; i++) {
            Vector row = mat1.getRow(i);
            rows[i] = (LongFloatVector) mat2.transDot(row);
        }
        return MFactory.rbLongFloatMatrix(rows);
    } else {
        throw new AngelException("the operation is not supported!");
    }
}

Example 45 with LongFloatVector

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

the class MixedBinaryInAllExecutor method apply.

private static Vector apply(CompLongDoubleVector v1, LongFloatVector v2, Binary op) {
    LongDoubleVector[] 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 LongDoubleSortedVectorStorage) {
                resParts[i] = new LongDoubleSparseVectorStorage(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)) {
            ((LongDoubleVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), v2.get(i)));
        } else {
            ((LongDoubleVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), 0));
        }
    }
    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++;
    }
    v1.setPartitions(res);
    return v1;
}