Examples of org.encog.util.concurrency.DetermineWorkload

org.encog.util.concurrency.DetermineWorkload
Used by several Encog training methods to break up a workload. Can also be used to determine the number of threads to use. If zero threads are specified, Encog will query the processor count and determine the best number of threads to use.

      EngineArray.fill(this.flatSpot, 0.0);
    }
    
    
    // setup workers
    final DetermineWorkload determine = new DetermineWorkload(
        this.numThreads, (int) this.indexable.getRecordCount());


    this.workers = new GradientWorker[determine.getThreadCount()];


    int index = 0;


    // handle CPU
    for (final IntRange r : determine.calculateWorkers()) {
      this.workers[index++] = new GradientWorker(this.network.clone(),
          this, this.indexable.openAdditional(), r.getLow(),
          r.getHigh(), this.flatSpot, this.ef);
    }

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    this.hessianMatrix = new Matrix(weightCount,weightCount);
    this.hessian = this.hessianMatrix.getData();
    
    // create worker(s)
    final DetermineWorkload determine = new DetermineWorkload(
        this.numThreads, (int) this.training.getRecordCount());


    this.workers = new ChainRuleWorker[determine.getThreadCount()];


    int index = 0;


    // handle CPU
    for (final IntRange r : determine.calculateWorkers()) {
      this.workers[index++] = new ChainRuleWorker(this.flat.clone(),
          this.training.openAdditional(), r.getLow(),
          r.getHigh());
    }

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    // online training.
    if (this.batchSize != 0) {
      this.numThreads = 1;
    }


    final DetermineWorkload determine = new DetermineWorkload(
        this.numThreads, (int) this.indexable.getRecordCount());


    int actualThreadCount = determine.getThreadCount();


    this.workers = new GradientWorker[actualThreadCount];


    int index = 0;


    for (final IntRange r : determine.calculateWorkers()) {
      this.workers[index++] = new GradientWorker(
          this.currentFlatNetwork.clone(), this,
          this.indexable.openAdditional(), r.getLow(), r.getHigh(),
          this.flatSpot, this.ef);
    }

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Related Classes of org.encog.util.concurrency.DetermineWorkload

org.encog.EncogError

org.encog.mathutil.IntRange

org.encog.mathutil.matrices.hessian.HessianCR

org.encog.neural.flat.train.prop.TrainFlatNetworkProp

org.encog.neural.networks.training.propagation.Propagation

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