BasicOptimizer.scala:89 executed in 26.18 seconds (0.292 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: 116589984309700
Reset training subject: 116593024423500
Corrupt weights measurement
LBFGS Accumulation History: 0 points
Constructing line search parameters: GD+Trust
th(0)=-29.556319060731106;dx=-1.3351728388229212E-6
END: th(2.154434690031884)=-29.55632192186588; dx=-1.0861535282890776E-6 evalInputDelta=2.861134774434504E-6
Fitness changed from -29.56783002610368 to -29.56783002610368
Static Iteration Total: 14.5768; Orientation: 0.0435; Line Search: 5.8453
Iteration 1 failed. Error: -29.56783002610368
Previous Error: 0.0 -> -29.56783002610368
Retrying iteration 1
Reset training subject: 116604561351600
Corrupt weights measurement
LBFGS Accumulation History: 0 points
th(0)=-29.556319060731106;dx=-1.3344894467220462E-6
END: th(4.641588833612779)=-29.556323352433164; dx=-1.0862337267311047E-6 evalInputDelta=4.291702058623059E-6
Fitness changed from -29.56783002610368 to -29.56783002610368
Static Iteration Total: 11.6052; Orientation: 0.0445; Line Search: 5.7226
Iteration 2 failed. Error: -29.56783002610368
Previous Error: 0.0 -> -29.56783002610368
Optimization terminated 2
Final threshold in iteration 2: -29.56783002610368 (> -Infinity) after 26.182s (< 5400.000s)

Returns

    -29.56783002610368