com.tencent.angel.sona.ml.param.shared.HasParallelism.scala Maven / Gradle / Ivy
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* 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
*
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package com.tencent.angel.sona.ml.param.shared
import com.tencent.angel.sona.ml.param.{IntParam, ParamValidators, Params}
import scala.concurrent.ExecutionContext
import org.apache.spark.util.ThreadUtil
/**
* Trait to define a level of parallelism for algorithms that are able to use
* multithreaded execution, and provide a thread-pool based execution context.
*/
private[angel] trait HasParallelism extends Params {
/**
* The number of threads to use when running parallel algorithms.
* Default is 1 for serial execution
*
* @group expertParam
*/
val parallelism = new IntParam(this, "parallelism",
"the number of threads to use when running parallel algorithms", ParamValidators.gtEq(1))
setDefault(parallelism -> 1)
/** @group expertGetParam */
def getParallelism: Int = $(parallelism)
/**
* Create a new execution context with a thread-pool that has a maximum number of threads
* set to the value of [[parallelism]]. If this param is set to 1, a same-thread executor
* will be used to run in serial.
*/
private[angel] def getExecutionContext: ExecutionContext = {
getParallelism match {
case 1 =>
ThreadUtil.sameThread
case n =>
ExecutionContext.fromExecutorService(ThreadUtil
.newDaemonCachedThreadPool(s"${this.getClass.getSimpleName}-thread-pool", n))
}
}
}
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