Iteration 1 Iteration 1

Iteration 2 Iteration 2

Iteration 3 Iteration 3

Iteration 4 Iteration 4

Iteration 5 Iteration 5

Iteration 10 Iteration 10

Iteration 15 Iteration 15

Iteration 20 Iteration 20

Iteration 25 Iteration 25

Iteration 30 Iteration 30

Code from BasicOptimizer.scala:75 executed in 969.69 seconds (11.066 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: 1238268224370300
    Reset training subject: 1238276518451300
    Adding measurement 2cd877d3 to history. Total: 0
    LBFGS Accumulation History: 1 points
    Constructing line search parameters: GD+Trust
    th(0)=5.205117886309122;dx=-2.719010423425431E-5
    New Minimum: 5.205117886309122 > 5.205092383771419
    WOLFE (weak): th(2.154434690031884)=5.205092383771419; dx=-2.7189748549900057E-5 evalInputDelta=2.5502537702948302E-5
    New Minimum: 5.205092383771419 > 5.205066642929145
    WOLFE (weak): th(4.308869380063768)=5.205066642929145; dx=-2.7189357309478432E-5 evalInputDelta=5.124337997663986E-5
    New Minimum: 5.205066642929145 > 5.204964352865067
    WOLFE (weak): th(12.926608140191302)=5.204964352865067; dx=-2.7188097794316283E-5 evalInputDelta=1.5353344405433234E-4
    New Minimum: 5.204964352865067 > 5.204503693247634
    WOLFE (weak): th(51.70643256076521)=5.204503693247634; dx=-2.71825311237346E-5 evalInputDelta=6.141930614873559E-4
    New Minimum: 5.204503693247634 > 5.202049254152205
    WOLFE (weak): th(258.53216280382605)=5.202049254152205; dx=-2.7146788361165978E-5 evalInputDelta=0.003068632156916884
    New Minimum: 5.202049254152205 > 5.1867859510899805
    WOLFE (weak): th(1551.1929768229563)=5.1867859510899805; dx=-2.6918719957407682E-5 evalInputDelta=0.018331935219141116
    New Minimum: 5.1867859510899805 > 5.08068212933535
    WOLFE (weak): th(10858.350837760694)=5.08068212933535; dx=-2.5290248889774574E-5 evalInputDelta=0.12443575697377174
    New Minimum: 5.08068212933535 > 4.426111800497832
    END: th(86866.80670208555)=4.426111800497832; dx=-1.5549082960849836E-5 evalInputDelta=0.7790060858112895
    Fitness changed from 5.205117886309122 to 4.426111800497832
    Iteration 1 complete. Error: 4.426111800497832 Total: 95.8969; Orientation: 0.0067; Line Search: 71.7182
    <a id="p-3"></a>Iteration 1
    <a id="p-2"></a>![Iteration 1](etc/6bb4dbf3-bb10-479f-9cc3-b3b513cbe7d3.jpg)
    
    Adding measurement 43b74979 to history. Total: 1
    LBFGS Accumulation History: 2 points
    th(0)=4.426111800497832;dx=-1.1357128408971209E-5
    New Minimum: 4

...skipping 23857 bytes...

    .5617
    Adding measurement 7552f05b to history. Total: 3
    Rejected: LBFGS Orientation magnitude: 2.786e+03, gradient 2.283e-04, dot -0.639; [883a6229-4963-4466-9892-d4bf226880c8 = 1.000/1.000e+00]
    Orientation rejected. Popping history element from 0.36364874464078417, 0.33440572342128616, 0.31613386786048514, 0.3040469686218245
    LBFGS Accumulation History: 3 points
    Removed measurement 6d387e9b to history. Total: 4
    th(0)=0.3040469686218245;dx=-5.211543363439924E-8
    Armijo: th(1.0445962524205731E7)=0.443290249530915; dx=3.125080992077395E-8 evalInputDelta=-0.1392432809090905
    Armijo: th(5222981.262102866)=0.3093152508401356; dx=5.427119326781353E-9 evalInputDelta=-0.0052682822183111044
    New Minimum: 0.3040469686218245 > 0.28645126106358454
    END: th(1740993.7540342885)=0.28645126106358454; dx=-2.7109663550388716E-8 evalInputDelta=0.01759570755823997
    Fitness changed from 0.3040469686218245 to 0.28645126106358454
    Iteration 29 complete. Error: 0.28645126106358454 Total: 40.3494; Orientation: 0.2011; Line Search: 32.0520
    Adding measurement 6b3da23f to history. Total: 3
    Rejected: LBFGS Orientation magnitude: 2.126e+03, gradient 1.730e-04, dot -0.828; [883a6229-4963-4466-9892-d4bf226880c8 = 1.000/1.000e+00]
    Orientation rejected. Popping history element from 0.33440572342128616, 0.31613386786048514, 0.3040469686218245, 0.28645126106358454
    LBFGS Accumulation History: 3 points
    Removed measurement 4f836d9 to history. Total: 4
    th(0)=0.28645126106358454;dx=-2.992353137124014E-8
    New Minimum: 0.28645126106358454 > 0.27125735093189224
    END: th(3750857.338820308)=0.27125735093189224; dx=-2.1284645366965528E-8 evalInputDelta=0.015193910131692301
    Fitness changed from 0.28645126106358454 to 0.27125735093189224
    Iteration 30 complete. Error: 0.27125735093189224 Total: 24.0912; Orientation: 0.2013; Line Search: 15.8350
    <a id="p-21"></a>Iteration 30
    <a id="p-20"></a>![Iteration 30](etc/6a89fa4a-cd9f-4a2f-99cf-629107641b9d.jpg)
    
    Final threshold in iteration 31: 0.27125735093189224 (> -Infinity) after 969.679s (< 3600.000s)
    

Returns:

    0.27125735093189224