BasicOptimizer.scala:89 executed in 24.64 seconds (0.187 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: 113595909809800
Reset training subject: 113598616383100
Corrupt weights measurement
LBFGS Accumulation History: 0 points
Constructing line search parameters: GD+Trust
th(0)=-30.95422623467421;dx=-1.2310242672652892E-6
END: th(2.154434690031884)=-30.95422760063655; dx=-9.936700187184891E-7 evalInputDelta=1.3659623405715138E-6
Fitness changed from -30.982625224609396 to -30.982625224609396
Static Iteration Total: 13.6668; Orientation: 0.0394; Line Search: 5.4001
Iteration 1 failed. Error: -30.982625224609396
Previous Error: 0.0 -> -30.982625224609396
Retrying iteration 1
Reset training subject: 113609576814600
Corrupt weights measurement
LBFGS Accumulation History: 0 points
th(0)=-30.95422623467421;dx=-1.2304362091565184E-6
END: th(4.641588833612779)=-30.954231698523206; dx=-9.934300026351615E-7 evalInputDelta=5.463848996356546E-6
Fitness changed from -30.982625224609396 to -30.982625224609396
Static Iteration Total: 10.9754; Orientation: 0.0429; Line Search: 5.4634
Iteration 2 failed. Error: -30.982625224609396
Previous Error: 0.0 -> -30.982625224609396
Optimization terminated 2
Final threshold in iteration 2: -30.982625224609396 (> -Infinity) after 24.642s (< 5400.000s)

Returns

    -30.982625224609396