BasicOptimizer.scala:89 executed in 40.61 seconds (0.452 gc):

    val lineSearchInstance: LineSearchStrategy = lineSearchFactory
    val trainer = new IterativeTrainer(trainable)
    trainer.setOrientation(orientation())
    trainer.setMonitor(new TrainingMonitor() {
      override def clear(): Unit = trainingMonitor.clear()
  
      override def log(msg: String): Unit = {
        trainingMonitor.log(msg)
        BasicOptimizer.this.log(msg)
      }
  
      override def onStepFail(currentPoint: Step): Boolean = {
        BasicOptimizer.this.onStepFail(trainable.addRef().asInstanceOf[Trainable], currentPoint)
      }
  
      override def onStepComplete(currentPoint: Step): Unit = {
        if (0 < logEvery && (0 == currentPoint.iteration % logEvery || currentPoint.iteration < logEvery)) {
          val image = currentImage()
          timelineAnimation += image
          val caption = "Iteration " + currentPoint.iteration
          out.p(caption + "\n" + out.jpg(image, caption))
        }
        BasicOptimizer.this.onStepComplete(trainable.addRef().asInstanceOf[Trainable], currentPoint)
        trainingMonitor.onStepComplete(currentPoint)
        super.onStepComplete(currentPoint)
      }
    })
    trainer.setTimeout(trainingMinutes, TimeUnit.MINUTES)
    trainer.setMaxIterations(trainingIterations)
    trainer.setLineSearchFactory((_: CharSequence) => lineSearchInstance)
    trainer.setTerminateThreshold(java.lang.Double.NEGATIVE_INFINITY)
    val result = trainer.run.asInstanceOf[lang.Double]
    trainer.freeRef()
    result
Logging 
Reset training subject: 116040467769300
Reset training subject: 116043224893100
Adding measurement 2ce6c2ae to history. Total: 0
LBFGS Accumulation History: 1 points
Constructing line search parameters: GD+Trust
th(0)=-31.7578999674297;dx=-1.2506970200082636E-6
Armijo: th(2.154434690031884)=-31.7578999674297; dx=-9.190734988469457E-7 evalInputDelta=0.0
Armijo: th(1.077217345015942)=-31.7578999674297; dx=-9.191987552198854E-7 evalInputDelta=0.0
Armijo: th(0.3590724483386473)=-31.757898636034707; dx=-9.19277710757959E-7 evalInputDelta=-1.3313949942528325E-6
Armijo: th(0.08976811208466183)=-31.7578999674297; dx=-9.191930279363867E-7 evalInputDelta=0.0
Armijo: th(0.017953622416932366)=-31.7578999674297; dx=-9.188685297024516E-7 evalInputDelta=0.0
Armijo: th(0.002992270402822061)=-31.7578999674297; dx=-9.191477410158504E-7 evalInputDelta=0.0
END: th(4.2746720040315154E-4)=-31.7578999674297; dx=-9.190010271939094E-7 evalInputDelta=0.0
Fitness changed from -31.7578999674297 to -31.7578999674297
Static Iteration Total: 28.7767; Orientation: 0.0614; Line Search: 20.9028
Iteration 1 failed. Error: -31.7578999674297
Previous Error: 0.0 -> -31.7578999674297
Retrying iteration 1
Reset training subject: 116069244637400
Adding measurement 79891718 to history. Total: 0
LBFGS Accumulation History: 1 points
th(0)=-31.7578999674297;dx=-1.2504630258246102E-6
END: th(9.20950165399361E-4)=-31.7578999674297; dx=-9.194747038290355E-7 evalInputDelta=0.0
Fitness changed from -31.7578999674297 to -31.7578999674297
Static Iteration Total: 11.8328; Orientation: 0.0752; Line Search: 5.8140
Iteration 2 failed. Error: -31.7578999674297
Previous Error: 0.0 -> -31.7578999674297
Optimization terminated 2
Final threshold in iteration 2: -31.7578999674297 (> -Infinity) after 40.610s (< 5400.000s)

Returns

    -31.7578999674297