Code from BasicOptimizer.scala:75 executed in 517.78 seconds (5.721 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: 922991888877700
Reset training subject: 922995774780900
Adding measurement 3375a9ba to history. Total: 0
LBFGS Accumulation History: 1 points
Constructing line search parameters: GD+Trust
th(0)=2.8362421579658985;dx=-8.213826442539762E-6
New Minimum: 2.8362421579658985 > 2.8362307026982307
WOLFE (weak): th(2.154434690031884)=2.8362307026982307; dx=-8.210338578367976E-6 evalInputDelta=1.1455267667770386E-5
New Minimum: 2.8362307026982307 > 2.836218524724245
WOLFE (weak): th(4.308869380063768)=2.836218524724245; dx=-8.210864243643306E-6 evalInputDelta=2.3633241653442383E-5
New Minimum: 2.836218524724245 > 2.8361705355346203
WOLFE (weak): th(12.926608140191302)=2.8361705355346203; dx=-8.207358617312125E-6 evalInputDelta=7.162243127822876E-5
New Minimum: 2.8361705355346203 > 2.8359563779085875
WOLFE (weak): th(51.70643256076521)=2.8359563779085875; dx=-8.198495250431226E-6 evalInputDelta=2.8578005731105804E-4
New Minimum: 2.8359563779085875 > 2.8348168041557074
WOLFE (weak): th(258.53216280382605)=2.8348168041557074; dx=-8.147447288754033E-6 evalInputDelta=0.0014253538101911545
New Minimum: 2.8348168041557074 > 2.8278664983808994
WOLFE (weak): th(1551.1929768229563)=2.8278664983808994; dx=-7.67776967865137E-6 evalInputDelta=0.008375659584999084
New Minimum: 2.8278664983808994 > 2.782224841415882
END: th(10858.350837760694)=2.782224841415882; dx=-6.010875094815365E-6 evalInputDelta=0.0540173165500164
Fitness changed from 2.8362421579658985 to 2.782224841415882
Iteration 1 complete. Error: 2.782224841415882 Total: 41.8063; Orientation: 0.0665; Line Search: 29.7628
<a id="p-3"></a>Iteration 1
<a id="p-2"></a>
Adding measurement 686bd30e to history. Total: 1
LBFGS Accumulation History: 2 points
th(0)=2.782224841415882;dx=-7.646766918583643E-6
New Minimum: 2.782224841415882 > 2.663741122931242
END: th(23393.607721408407)=2.663741122931242; dx=-5.055409495683822E-6 evalInputDelta=0.11848371848464012
Fitness chan
...skipping 24557 bytes...
44317245483
Iteration 28 complete. Error: 0.22842544317245483 Total: 17.2930; Orientation: 1.9187; Line Search: 11.6132
Adding measurement 2def8097 to history. Total: 3
Rejected: LBFGS Orientation magnitude: 6.680e+02, gradient 2.299e-04, dot -0.645; [6bd58d68-1057-4702-94ed-20136fdd4f54 = 1.000/1.000e+00]
Orientation rejected. Popping history element from 0.2956755757331848, 0.27028846740722656, 0.2530346214771271, 0.22842544317245483
LBFGS Accumulation History: 3 points
Removed measurement 6a87361 to history. Total: 4
th(0)=0.22842544317245483;dx=-5.287677402136545E-8
New Minimum: 0.22842544317245483 > 0.20792436599731445
END: th(1101722.6099748227)=0.20792436599731445; dx=-1.881219459324208E-9 evalInputDelta=0.02050107717514038
Fitness changed from 0.22842544317245483 to 0.20792436599731445
Iteration 29 complete. Error: 0.20792436599731445 Total: 13.3919; Orientation: 1.9466; Line Search: 7.7519
Adding measurement 24995d3b to history. Total: 3
Rejected: LBFGS Orientation magnitude: 4.522e+02, gradient 2.091e-04, dot -0.681; [6bd58d68-1057-4702-94ed-20136fdd4f54 = 1.000/1.000e+00]
Orientation rejected. Popping history element from 0.27028846740722656, 0.2530346214771271, 0.22842544317245483, 0.20792436599731445
LBFGS Accumulation History: 3 points
Removed measurement 69c72fe6 to history. Total: 4
th(0)=0.20792436599731445;dx=-4.373788257467671E-8
Armijo: th(2373589.4097222253)=0.20902106165885925; dx=1.891570854089888E-8 evalInputDelta=-0.0010966956615447998
New Minimum: 0.20792436599731445 > 0.1903192102909088
END: th(1186794.7048611126)=0.1903192102909088; dx=-4.902777016623547E-10 evalInputDelta=0.01760515570640564
Fitness changed from 0.20792436599731445 to 0.1903192102909088
Iteration 30 complete. Error: 0.1903192102909088 Total: 17.2539; Orientation: 1.9294; Line Search: 11.7168
<a id="p-21"></a>Iteration 30
<a id="p-20"></a>
Final threshold in iteration 31: 0.1903192102909088 (> -Infinity) after 517.781s (< 3600.000s)
0.1903192102909088