com.tencent.angel.ml.matrix.psf.aggr.Amax.scala Maven / Gradle / Ivy

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/*
 * 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.ml.matrix.psf.aggr


import com.tencent.angel.ml.math2.storage.{DoubleVectorStorage, FloatVectorStorage, IntVectorStorage, LongVectorStorage}
import com.tencent.angel.ml.matrix.psf.aggr.enhance.UnaryAggrFunc
import com.tencent.angel.ps.storage.vector.ServerRow

/**
  * `Amax` will aggregate the maximum absolute value of the `rowId` row in `matrixId` matrix.
  * For example, if the content of `rowId` row in `matrixId` matrix is [0.3, -11.0, 2.0, 10.1],
  * the aggregate result of `Amax` is 11.0 .
  */
class Amax(matrixId: Int, rowId: Int) extends UnaryAggrFunc(matrixId, rowId) {
  def this() = this(-1, -1)

  override protected def processRow(row: ServerRow): Double = {
    row.getSplit.getStorage match {
      case s: DoubleVectorStorage => s.getValues.map(math.abs).max
      case s: FloatVectorStorage => s.getValues.map(math.abs).max
      case s: LongVectorStorage => s.getValues.map(math.abs).max
      case s: IntVectorStorage => s.getValues.map(math.abs).max
    }
  }

  override protected def mergeInit: Double = 0.0

  override protected def mergeOp(a: Double, b: Double): Double = math.max(a, b)

}