Code from BasicOptimizer.scala:75 executed in 46.17 seconds (0.000 gc):

    val lineSearchInstance: LineSearchStrategy = lineSearchFactory
    IterativeTrainer.wrap(trainable)
      .setOrientation(orientation())
      .setMonitor(new TrainingMonitor() {
        override def clear(): Unit = trainingMonitor.clear()
  
        override def log(msg: String): Unit = trainingMonitor.log(msg)
  
        override def onStepFail(currentPoint: Step): Boolean = {
          BasicOptimizer.this.onStepFail(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, currentPoint)
          trainingMonitor.onStepComplete(currentPoint)
          super.onStepComplete(currentPoint)
        }
      })
      .setTimeout(trainingMinutes, TimeUnit.MINUTES)
      .setMaxIterations(trainingIterations)
      .setLineSearchFactory((_: CharSequence) => lineSearchInstance)
      .setTerminateThreshold(java.lang.Double.NEGATIVE_INFINITY)
      .runAndFree
      .asInstanceOf[lang.Double]

Logging:

    Reset training subject: 876683430388
    THREADS = 64
    DEBUG_LIFECYCLE = false
    DOUBLE_CACHE_MODE = WEAK
    THREADS = 64
    SINGLE_THREADED = false
    BACKPROP_AGG_SIZE = 1
    Initialized CoreSettings = {
      "doubleCacheMode" : "WEAK",
      "backpropAggregationSize" : 1,
      "jvmThreads" : 64,
      "singleThreaded" : false
    }
    Forcing Single-GPU Mode
    Found 1 devices
    Device 0 - Tesla V100-SXM2-16GB
    Default Limit StackSize = 1024
    Default Limit FifoSize = 1048576
    Default Limit HeapSize = 8388608
    Default Limit SyncDepth = 2
    Default Limit PendingLaunch = 2048
    Configured Limit StackSize = 1024
    Configured Limit FifoSize = 8388608
    Configured Limit HeapSize = 4194304
    Configured Limit SyncDepth = 2
    Configured Limit PendingLaunch = 2048
    Reset training subject: 921529582476
    Adding measurement 74005309 to history. Total: 0
    LBFGS Accumulation History: 1 points
    Constructing line search parameters: GD+Trust
    th(0)=1.791542711025251;dx=9.486072108054707E-11 (ERROR: Starting derivative negative)
    Fitness changed from 0.46292706693497504 to 0.46292706693497504
    Static Iteration Total: 45.5477; Orientation: 0.0993; Line Search: 0.4623
    Iteration 1 failed. Error: 0.46292706693497504
    Previous Error: 0.0 -> 0.46292706693497504
    Retrying iteration 1
    Reset training subject: 922232402381
    Adding measurement 25328725 to history. Total: 0
    LBFGS Accumulation History: 1 points
    th(0)=1.791542711025251;dx=9.486072108054707E-11 (ERROR: Starting derivative negative)
    Fitness changed from 0.46292706693497504 to 0.46292706693497504
    Static Iteration Total: 0.6102; Orientation: 0.0734; Line Search: 0.4395
    Iteration 2 failed. Error: 0.46292706693497504
    Previous Error: 0.0 -> 0.46292706693497504
    Optimization terminated 2
    Final threshold in iteration 2: 0.46292706693497504 (> -Infinity) after 46.158s (< 3600.000s)
    

Returns:

    0.46292706693497504