Incremental Training for imagenet #1391
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| @@ -0,0 +1,147 @@ | ||
| package com.intel.analytics.zoo.common | ||
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| import com.intel.analytics.bigdl.optim.Trigger | ||
| import com.intel.analytics.bigdl.utils.{T, Table} | ||
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| /** | ||
| * A trigger specifies a timespot or several timespots during training, | ||
| * and a corresponding action will be taken when the timespot(s) | ||
| * is reached. | ||
| */ | ||
| trait ZooTrigger extends Trigger { | ||
| protected var zooState: Table = T() | ||
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| /** | ||
| * We also hold some training metrics to control trigger. | ||
| * @param zooState zoo state table | ||
| */ | ||
| private[zoo] def setZooState(zooState: Table): Unit = { | ||
| this.zooState = zooState | ||
| } | ||
| } | ||
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| /** | ||
| * A trigger that triggers an action when each epoch finishs. | ||
| * Could be used as trigger in setValidation and setCheckpoint | ||
| * in Optimizer, and also in TrainSummary.setSummaryTrigger. | ||
| */ | ||
| case class EveryEpoch() extends ZooTrigger{ | ||
| private var lastEpoch = -1 | ||
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| override def apply(state: Table): Boolean = { | ||
| if (lastEpoch == -1) { | ||
| lastEpoch = state[Int]("epoch") | ||
| false | ||
| } else { | ||
| if (state[Int]("epoch") <= lastEpoch) { | ||
| false | ||
| } else { | ||
| if (zooState.contains("numSlice") && zooState.contains("currentSlice") | ||
| && zooState[Int]("currentSlice") % zooState[Int]("numSlice") == 0) { | ||
| lastEpoch = state[Int]("epoch") | ||
| true | ||
| } else { | ||
| false | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } | ||
| /** | ||
| * A trigger that triggers an action every "n" iterations. | ||
| * Could be used as trigger in setValidation and setCheckpoint | ||
| * in Optimizer, and also in TrainSummary.setSummaryTrigger. | ||
| * | ||
| * @param interval - trigger interval "n" | ||
| */ | ||
| case class SeveralIteration(interval: Int) extends ZooTrigger{ | ||
| override def apply(state: Table): Boolean = { | ||
| val curIteration = state[Int]("neval") - 1 | ||
| curIteration != 0 && curIteration % interval == 0 | ||
| } | ||
| } | ||
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| /** | ||
| * A trigger that triggers an action when training reaches | ||
| * the number of epochs specified by "max". | ||
| * Usually used in Optimizer.setEndWhen. | ||
| * | ||
| * @param max the epoch when the action takes place | ||
| */ | ||
| case class MaxEpoch(max: Int) extends ZooTrigger{ | ||
| override def apply(state: Table): Boolean = { | ||
| state[Int]("epoch") > max | ||
| } | ||
| } | ||
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| /** | ||
| * A trigger that triggers an action when training reaches | ||
| * the number of iterations specified by "max". | ||
| * Usually used in Optimizer.setEndWhen. | ||
| * | ||
| * @param max the iteration when the action takes place | ||
| * | ||
| */ | ||
| case class MaxIteration(max: Int) extends ZooTrigger { | ||
| override def apply(state: Table): Boolean = { | ||
| state[Int]("neval") > max | ||
| } | ||
| } | ||
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| /** | ||
| * A trigger that triggers an action when validation score larger than "max" score | ||
| * @param max max score | ||
| */ | ||
| case class MaxScore(max: Float) extends ZooTrigger { | ||
| override def apply(state: Table): Boolean = { | ||
| state[Float]("score") > max | ||
| } | ||
| } | ||
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| /** | ||
| * A trigger that triggers an action when training loss less than "min" loss | ||
| * @param min min loss | ||
| */ | ||
| case class MinLoss(min: Float) extends ZooTrigger { | ||
| override def apply(state: Table): Boolean = { | ||
| state[Float]("Loss") < min | ||
| } | ||
| } | ||
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| /** | ||
| * A trigger contains other triggers and triggers when all of them trigger (logical AND) | ||
| * @param first first trigger | ||
| * @param others others triggers | ||
| */ | ||
| case class And(first : ZooTrigger, others : ZooTrigger*) extends ZooTrigger { | ||
| override def setZooState(zooState: Table): Unit = { | ||
| super.setZooState(zooState) | ||
| first.setZooState(zooState) | ||
| others.foreach{zt => | ||
| zt.setZooState(zooState) | ||
| } | ||
| } | ||
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| override def apply(state: Table): Boolean = { | ||
| first.apply(state) && others.forall(_.apply(state)) | ||
| } | ||
| } | ||
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| /** | ||
| * A trigger contains other triggers and triggers when any of them trigger (logical OR) | ||
| * @param first first trigger | ||
| * @param others others triggers | ||
| */ | ||
| case class Or(first : ZooTrigger, others : ZooTrigger*) extends ZooTrigger { | ||
| override def setZooState(zooState: Table): Unit = { | ||
| super.setZooState(zooState) | ||
| first.setZooState(zooState) | ||
| others.foreach{zt => | ||
| zt.setZooState(zooState) | ||
| } | ||
| } | ||
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| override def apply(state: Table): Boolean = { | ||
| first.apply(state) || others.exists(_.apply(state)) | ||
| } | ||
| } | ||
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If memoryType DRAM is used, the validation phase is ignored at the end of each epoch.
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fixed