content: /*
   * Tencent is pleased to support the open source community by making Angel available.
   *
   * Copyright (C) 2017-2018 THL A29 Limited, a Tencent company. All rights reserved.
   *
   * Licensed 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
   *
   * https://opensource.org/licenses/Apache-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 com.tencent.angel.spark.ml.psf.optim;
  
  import com.tencent.angel.PartitionKey;
  import com.tencent.angel.ml.math2.vector.Vector;
  import com.tencent.angel.ml.matrix.psf.update.base.PartitionUpdateParam;
  import com.tencent.angel.ml.matrix.psf.update.update.IncrementRowsParam;
  import com.tencent.angel.psagent.matrix.oplog.cache.RowUpdateSplit;
  import com.tencent.angel.psagent.matrix.oplog.cache.RowUpdateSplitUtils;
  
  import java.util.ArrayList;
  import java.util.HashMap;
  import java.util.List;
  import java.util.Map;
  
  public class AsyncOptimParam extends IncrementRowsParam {
  
    private double[] doubles;
    private int[] ints;
  
    public AsyncOptimParam(int matrixId, Vector[] updates, double[] doubles, int[] ints) {
      super(matrixId, updates);
      this.doubles = doubles;
      this.ints = ints;
    }
  
    @Override
    public List<PartitionUpdateParam> split() {
      // split updates
      Map<PartitionKey, List<RowUpdateSplit>> partToSplits = new HashMap<>(getPartsNum(matrixId));
      for (int i = 0; i < updates.length; i++) {
        if (updates[i] != null) {
          mergeRowUpdateSplits(RowUpdateSplitUtils.split(updates[i],
            getParts(matrixId, updates[i].getRowId())), partToSplits);
        }
      }
  
      // shuffle update splits
      shuffleSplits(partToSplits);
  
      // generate part update splits
      List<PartitionUpdateParam> partParams = new ArrayList<>(partToSplits.size());
      for (Map.Entry<PartitionKey, List<RowUpdateSplit>> partEntry: partToSplits.entrySet()) {
        // set split context: partition key, use int key for long key vector or net
        adapt(partEntry.getKey(), partEntry.getValue());
        partParams.add(new PartAsyncOptimParam(matrixId, partEntry.getKey(), partEntry.getValue(), doubles, ints));
      }
  
      return partParams;
    }
  }
  