Code from BasicOptimizer.scala:88 executed in 509.95 seconds (7.486 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: 2526930605214
Reset training subject: 2538395392394
Adding measurement 2f08e2fd to history. Total: 0
LBFGS Accumulation History: 1 points
Constructing line search parameters: GD+Trust
th(0)=4.448049992322922;dx=-2.0412869606388653E-7
New Minimum: 4.448049992322922 > 4.448049813508987
WOLFE (weak): th(2.154434690031884)=4.448049813508987; dx=-2.014848785471314E-7 evalInputDelta=1.7881393432617188E-7
New Minimum: 4.448049813508987 > 4.44804909825325
WOLFE (weak): th(4.308869380063768)=4.44804909825325; dx=-2.0152070222520507E-7 evalInputDelta=8.940696716308594E-7
New Minimum: 4.44804909825325 > 4.448046296834946
WOLFE (weak): th(12.926608140191302)=4.448046296834946; dx=-2.0155186167551749E-7 evalInputDelta=3.6954879760742188E-6
New Minimum: 4.448046296834946 > 4.448033899068832
WOLFE (weak): th(51.70643256076521)=4.448033899068832; dx=-2.0158404516865373E-7 evalInputDelta=1.609325408935547E-5
New Minimum: 4.448033899068832 > 4.447968751192093
WOLFE (weak): th(258.53216280382605)=4.447968751192093; dx=-2.012132395471395E-7 evalInputDelta=8.124113082885742E-5
New Minimum: 4.447968751192093 > 4.447563648223877
WOLFE (weak): th(1551.1929768229563)=4.447563648223877; dx=-2.01409499814728E-7 evalInputDelta=4.863440990447998E-4
New Minimum: 4.447563648223877 > 4.444647639989853
WOLFE (weak): th(10858.350837760694)=4.444647639989853; dx=-2.0117970089927993E-7 evalInputDelta=0.0034023523330688477
New Minimum: 4.444647639989853 > 4.421059727668762
WOLFE (weak): th(86866.80670208555)=4.421059727668762; dx=-1.977642061217064E-7 evalInputDelta=0.026990264654159546
New Minimum: 4.421059727668762 > 4.219590485095978
END: th(781801.26031877)=4.219590485095978; dx=-1.732984503294311E-7 evalInputDelta=0.22845950722694397
Fitness changed from 4.448049992322922 to 4.219590485095978
Iteration 1 complete. Error: 4.219590485095978 Total: 148.7774; Orientation: 0.0383; Line Search: 112.7602
<a id="p-3"></a>Iteration 1
<a id="p-2"></a>
Adding measurement
...skipping 5538 bytes...
otal: 3
Rejected: LBFGS Orientation magnitude: 5.397e+03, gradient 2.281e-04, dot -0.188; [4b77f768-cdad-4c4c-b9e1-2084a5df26c3 = 1.000/1.000e+00]
Orientation rejected. Popping history element from 0.020902365446090698, 3.8302405774593353, 4.219590485095978, 4.448049992322922
LBFGS Accumulation History: 3 points
Removed measurement 20359772 to history. Total: 3
th(0)=0.020902365446090698;dx=-5.195130698039049E-8
Armijo: th(9.072000000000001E7)=0.4202645868062973; dx=2.5430517774095916E-9 evalInputDelta=-0.3993622213602066
New Minimum: 0.020902365446090698 > -0.26020383834838867
WOLF (strong): th(4.536000000000001E7)=-0.26020383834838867; dx=3.204766273984449E-10 evalInputDelta=0.28110620379447937
New Minimum: -0.26020383834838867 > -0.37306614220142365
END: th(1.5120000000000002E7)=-0.37306614220142365; dx=-7.657279280443414E-9 evalInputDelta=0.39396850764751434
Fitness changed from 0.020902365446090698 to -0.37306614220142365
Iteration 9 complete. Error: -0.37306614220142365 Total: 59.5381; Orientation: 0.6420; Line Search: 47.0363
Adding measurement 12b00b75 to history. Total: 3
Rejected: LBFGS Orientation magnitude: 5.306e+03, gradient 1.172e-04, dot -0.297; [4b77f768-cdad-4c4c-b9e1-2084a5df26c3 = 1.000/1.000e+00]
Orientation rejected. Popping history element from -0.37306614220142365, 3.8302405774593353, 4.219590485095978, 4.448049992322922
LBFGS Accumulation History: 3 points
Removed measurement 12b00b75 to history. Total: 3
th(0)=-0.37306614220142365;dx=-1.3650496032245313E-8
New Minimum: -0.37306614220142365 > -0.746174618601799
END: th(3.2575052513282087E7)=-0.746174618601799; dx=-4.822327986396363E-9 evalInputDelta=0.37310847640037537
Fitness changed from -0.37306614220142365 to -0.746174618601799
Iteration 10 complete. Error: -0.746174618601799 Total: 35.2620; Orientation: 0.6338; Line Search: 23.0184
<a id="p-13"></a>Iteration 10
<a id="p-12"></a>
Final threshold in iteration 11: -0.746174618601799 (> -Infinity) after 509.949s (< 1800.000s)
-0.746174618601799