BasicOptimizer.scala:89 executed in 39.13 seconds (0.387 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: 73375576468100
Reset training subject: 73378293490700
Adding measurement b2a55d1 to history. Total: 0
LBFGS Accumulation History: 1 points
Constructing line search parameters: GD+Trust
th(0)=-19.96474233112404;dx=-8.236774023036842E-7
Armijo: th(2.154434690031884)=-19.96474233112404; dx=-7.048849122631756E-7 evalInputDelta=0.0
Armijo: th(1.077217345015942)=-19.96474233112404; dx=-7.046681597181989E-7 evalInputDelta=0.0
Armijo: th(0.3590724483386473)=-19.96474233112404; dx=-7.048739210632939E-7 evalInputDelta=0.0
Armijo: th(0.08976811208466183)=-19.96474233112404; dx=-7.048117843272891E-7 evalInputDelta=0.0
Armijo: th(0.017953622416932366)=-19.96474233112404; dx=-7.048275129400296E-7 evalInputDelta=0.0
Armijo: th(0.002992270402822061)=-19.96474233112404; dx=-7.04892726999268E-7 evalInputDelta=0.0
END: th(4.2746720040315154E-4)=-19.96474233112404; dx=-7.048399230077269E-7 evalInputDelta=0.0
Fitness changed from -19.96474233112404 to -19.96474233112404
Static Iteration Total: 28.9041; Orientation: 0.0600; Line Search: 20.8282
Iteration 1 failed. Error: -19.96474233112404
Previous Error: 0.0 -> -19.96474233112404
Retrying iteration 1
Reset training subject: 73404480728200
Adding measurement 37c5a509 to history. Total: 0
LBFGS Accumulation History: 1 points
th(0)=-19.96474233112404;dx=-8.236794773482114E-7
END: th(9.20950165399361E-4)=-19.96474233112404; dx=-7.046961262432931E-7 evalInputDelta=0.0
Fitness changed from -19.96474233112404 to -19.96474233112404
Static Iteration Total: 10.2257; Orientation: 0.0589; Line Search: 5.0815
Iteration 2 failed. Error: -19.96474233112404
Previous Error: 0.0 -> -19.96474233112404
Optimization terminated 2
Final threshold in iteration 2: -19.96474233112404 (> -Infinity) after 39.131s (< 5400.000s)

Returns

    -19.96474233112404