Code from BasicOptimizer.scala:75 executed in 1946.58 seconds (16.325 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]
Reset training subject: 694009318016400
Reset training subject: 694032647752600
Adding measurement 711bed2b to history. Total: 0
LBFGS Accumulation History: 1 points
Constructing line search parameters: GD+Trust
th(0)=7.0285908579826355;dx=-1.6962641238484913E-5
New Minimum: 7.0285908579826355 > 7.028573252260685
WOLFE (weak): th(2.154434690031884)=7.028573252260685; dx=-1.6947598431809277E-5 evalInputDelta=1.7605721950531006E-5
New Minimum: 7.028573252260685 > 7.028555698692799
WOLFE (weak): th(4.308869380063768)=7.028555698692799; dx=-1.6947322518143325E-5 evalInputDelta=3.5159289836883545E-5
New Minimum: 7.028555698692799 > 7.028485924005508
WOLFE (weak): th(12.926608140191302)=7.028485924005508; dx=-1.6945863900213184E-5 evalInputDelta=1.049339771270752E-4
New Minimum: 7.028485924005508 > 7.028171993792057
WOLFE (weak): th(51.70643256076521)=7.028171993792057; dx=-1.6947289307162132E-5 evalInputDelta=4.188641905784607E-4
New Minimum: 7.028171993792057 > 7.02649661898613
WOLFE (weak): th(258.53216280382605)=7.02649661898613; dx=-1.695329861177475E-5 evalInputDelta=0.0020942389965057373
New Minimum: 7.02649661898613 > 7.016009271144867
WOLFE (weak): th(1551.1929768229563)=7.016009271144867; dx=-1.6992382372967534E-5 evalInputDelta=0.012581586837768555
New Minimum: 7.016009271144867 > 6.939622834324837
WOLFE (weak): th(10858.350837760694)=6.939622834324837; dx=-1.7202228604172236E-5 evalInputDelta=0.08896802365779877
New Minimum: 6.939622834324837 > 6.325425244867802
WOLFE (weak): th(86866.80670208555)=6.325425244867802; dx=-1.562161650497996E-5 evalInputDelta=0.7031656131148338
New Minimum: 6.325425244867802 > 3.2965315133333206
END: th(781801.26031877)=3.2965315133333206; dx=-5.206817957394982E-6 evalInputDelta=3.732059344649315
Fitness changed from 7.0285908579826355 to 3.2965315133333206
Iteration 1 complete. Error: 3.2965315133333206 Total: 292.9614; Orientation: 0.0603; Line Search: 225.0978
<a id="p-3"></a>Iteration 1
<a id="p-2"></a>=-4.21748186647892;dx=-7.815904160918318E-8
Armijo: th(1.8851303537778996E7)=-3.976038372144103; dx=4.337354273761001E-8 evalInputDelta=-0.24144349433481693
Armijo: th(9425651.768889498)=-4.206703346222639; dx=2.1480070547629995E-8 evalInputDelta=-0.010778520256280899
New Minimum: -4.21748186647892 > -4.268499240279198
END: th(3141883.922963166)=-4.268499240279198; dx=-2.0606793306834212E-8 evalInputDelta=0.05101737380027771
Fitness changed from -4.21748186647892 to -4.268499240279198
Iteration 19 complete. Error: -4.268499240279198 Total: 112.8593; Orientation: 1.0831; Line Search: 89.6164
Adding measurement 21d96dda to history. Total: 3
Rejected: LBFGS Orientation magnitude: 3.780e+03, gradient 2.346e-04, dot -0.649; [c68c4d60-c1a8-4a52-a17d-b49ba5b89e1c = 1.000/1.000e+00]
Orientation rejected. Popping history element from -4.13738976418972, -4.179140971973538, -4.21748186647892, -4.268499240279198
LBFGS Accumulation History: 3 points
Removed measurement 5ea38308 to history. Total: 4
th(0)=-4.268499240279198;dx=-5.503640467516894E-8
New Minimum: -4.268499240279198 > -4.297153569757938
WOLF (strong): th(6768983.715685308)=-4.297153569757938; dx=6.713910989228937E-10 evalInputDelta=0.028654329478740692
New Minimum: -4.297153569757938 > -4.3050481751561165
END: th(3384491.857842654)=-4.3050481751561165; dx=-1.8348063526185533E-8 evalInputDelta=0.03654893487691879
Fitness changed from -4.268499240279198 to -4.3050481751561165
Iteration 20 complete. Error: -4.3050481751561165 Total: 90.4472; Orientation: 1.1025; Line Search: 66.9928
<a id="p-17"></a>Iteration 20
<a id="p-16"></a>
Final threshold in iteration 21: -4.3050481751561165 (> -Infinity) after 1946.564s (< 5400.000s)
-4.3050481751561165