| /* |
| * Licensed to the Apache Software Foundation (ASF) under one |
| * or more contributor license agreements. See the NOTICE file |
| * distributed with this work for additional information |
| * regarding copyright ownership. The ASF licenses this file |
| * to you under the Apache License, Version 2.0 (the |
| * "License"); you may not use this file except in compliance |
| * with the License. You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, |
| * software distributed under the License is distributed on an |
| * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| * KIND, either express or implied. See the License for the |
| * specific language governing permissions and limitations |
| * under the License. |
| */ |
| |
| package org.apache.sysds.runtime.controlprogram.paramserv.dp; |
| |
| import static org.apache.sysds.runtime.controlprogram.paramserv.ParamservUtils.SEED; |
| |
| import java.util.List; |
| import java.util.stream.Collectors; |
| import java.util.stream.IntStream; |
| |
| import org.apache.sysds.runtime.controlprogram.caching.MatrixObject; |
| import org.apache.sysds.runtime.controlprogram.paramserv.ParamservUtils; |
| import org.apache.sysds.runtime.instructions.InstructionUtils; |
| import org.apache.sysds.runtime.matrix.data.MatrixBlock; |
| |
| /** |
| * Data partitioner Disjoint_Random: |
| * for each worker, use a permutation multiply P[beg:end,] %*% X, |
| * where P is constructed for example with P=table(seq(1,nrow(X)),sample(nrow(X), nrow(X))), |
| * i.e., sampling without replacement to ensure disjointness. |
| */ |
| public class DRLocalScheme extends DataPartitionLocalScheme { |
| |
| private static List<MatrixBlock> partition(int k, MatrixBlock mb, MatrixBlock permutation) { |
| int batchSize = (int) Math.ceil((double) mb.getNumRows() / k); |
| return IntStream.range(0, k).mapToObj(i -> { |
| int begin = i * batchSize; |
| int end = Math.min((i + 1) * batchSize, mb.getNumRows()); |
| MatrixBlock slicedPerm = permutation.slice(begin, end - 1); |
| return slicedPerm.aggregateBinaryOperations(slicedPerm, mb, new MatrixBlock(), InstructionUtils.getMatMultOperator(k)); |
| }).collect(Collectors.toList()); |
| } |
| |
| private static List<MatrixObject> internalDoPartitioning(int k, MatrixBlock mb, MatrixBlock permutation) { |
| return partition(k, mb, permutation).stream().map(ParamservUtils::newMatrixObject).collect(Collectors.toList()); |
| } |
| |
| @Override |
| public Result doPartitioning(int workersNum, MatrixBlock features, MatrixBlock labels) { |
| // Generate a single permutation matrix (workers use slices) |
| MatrixBlock permutation = ParamservUtils.generatePermutation(features.getNumRows(), SEED); |
| List<MatrixObject> pfs = internalDoPartitioning(workersNum, features, permutation); |
| List<MatrixObject> pls = internalDoPartitioning(workersNum, labels, permutation); |
| return new Result(pfs, pls); |
| } |
| } |