BasicOptimizer.scala:89 executed in 23.15 seconds (0.256 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

Reset training subject: 33941395346100
Reset training subject: 33944066993700
Corrupt weights measurement
LBFGS Accumulation History: 0 points
Constructing line search parameters: GD+Trust
th(0)=-70.22171695125822;dx=-4.786620416319607E-6
END: th(2.154434690031884)=-70.22172913370618; dx=-3.953207727157294E-6 evalInputDelta=1.2182447960640275E-5
Fitness changed from -70.2250061354627 to -70.2250061354627
Static Iteration Total: 12.7804; Orientation: 0.0379; Line Search: 4.9856
Iteration 1 failed. Error: -70.2250061354627
Previous Error: 0.0 -> -70.2250061354627
Retrying iteration 1
Reset training subject: 33954175901400
Corrupt weights measurement
LBFGS Accumulation History: 0 points
th(0)=-70.22171695125822;dx=-4.78608956184589E-6
END: th(4.641588833612779)=-70.22173644317394; dx=-3.953140957130308E-6 evalInputDelta=1.9491915722369413E-5
Fitness changed from -70.2250061354627 to -70.2250061354627
Static Iteration Total: 10.3700; Orientation: 0.0373; Line Search: 5.2222
Iteration 2 failed. Error: -70.2250061354627
Previous Error: 0.0 -> -70.2250061354627
Optimization terminated 2
Final threshold in iteration 2: -70.2250061354627 (> -Infinity) after 23.152s (< 5400.000s)

Returns

    -70.2250061354627