Code from BasicOptimizer.scala:88 executed in 1951.52 seconds (4.498 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: 8969652618692
Reset training subject: 9021182838972
Adding measurement 65d046f9 to history. Total: 0
LBFGS Accumulation History: 1 points
Constructing line search parameters: GD+Trust
th(0)=3.548311024904251;dx=-5.296075353848216E-7
New Minimum: 3.548311024904251 > 3.5483095347881317
WOLFE (weak): th(2.154434690031884)=3.5483095347881317; dx=-5.334240621967783E-7 evalInputDelta=1.4901161193847656E-6
New Minimum: 3.5483095347881317 > 3.5483075082302094
WOLFE (weak): th(4.308869380063768)=3.5483075082302094; dx=-5.32865406398298E-7 evalInputDelta=3.516674041748047E-6
New Minimum: 3.5483075082302094 > 3.5483001470565796
WOLFE (weak): th(12.926608140191302)=3.5483001470565796; dx=-5.349700262791656E-7 evalInputDelta=1.0877847671508789E-5
New Minimum: 3.5483001470565796 > 3.548266261816025
WOLFE (weak): th(51.70643256076521)=3.548266261816025; dx=-5.325877766389268E-7 evalInputDelta=4.476308822631836E-5
New Minimum: 3.548266261816025 > 3.5480860471725464
WOLFE (weak): th(258.53216280382605)=3.5480860471725464; dx=-5.335650291959313E-7 evalInputDelta=2.2497773170471191E-4
New Minimum: 3.5480860471725464 > 3.5469625741243362
WOLFE (weak): th(1551.1929768229563)=3.5469625741243362; dx=-5.286542333340876E-7 evalInputDelta=0.001348450779914856
New Minimum: 3.5469625741243362 > 3.5388949513435364
WOLFE (weak): th(10858.350837760694)=3.5388949513435364; dx=-5.258691803878722E-7 evalInputDelta=0.009416073560714722
New Minimum: 3.5388949513435364 > 3.474654197692871
WOLFE (weak): th(86866.80670208555)=3.474654197692871; dx=-4.995566223470869E-7 evalInputDelta=0.07365682721138
New Minimum: 3.474654197692871 > 3.03398334980011
END: th(781801.26031877)=3.03398334980011; dx=-2.7948499827100706E-7 evalInputDelta=0.5143276751041412
Fitness changed from 3.548311024904251 to 3.03398334980011
Iteration 1 complete. Error: 3.03398334980011 Total: 666.5757; Orientation: 0.0482; Line Search: 512.0905
<a id="p-3"></a>Iteration 1
<a id="p-2"></a>
Adding meas
...skipping 3813 bytes...
513713837
Iteration 6 complete. Error: 0.6817557513713837 Total: 156.5302; Orientation: 1.3684; Line Search: 102.7310
Adding measurement 73478c80 to history. Total: 3
Rejected: LBFGS Orientation magnitude: 4.518e+03, gradient 3.770e-04, dot -0.331; [5fb3ad98-e4ae-42e0-832c-b815bb688a0c = 1.000/1.000e+00]
Orientation rejected. Popping history element from 0.6817557513713837, 2.43850077688694, 3.03398334980011, 3.548311024904251
LBFGS Accumulation History: 3 points
Removed measurement 73478c80 to history. Total: 3
th(0)=0.6817557513713837;dx=-1.482024304499206E-7
Armijo: th(1.3030021005312834E7)=1.513479232788086; dx=2.2856551469493127E-8 evalInputDelta=-0.8317234814167023
New Minimum: 0.6817557513713837 > 0.5796107202768326
WOLF (strong): th(6515010.502656417)=0.5796107202768326; dx=3.873279092064314E-9 evalInputDelta=0.10214503109455109
New Minimum: 0.5796107202768326 > 0.3886754661798477
END: th(2171670.167552139)=0.3886754661798477; dx=-5.256875331818894E-8 evalInputDelta=0.29308028519153595
Fitness changed from 0.6817557513713837 to 0.3886754661798477
Iteration 7 complete. Error: 0.3886754661798477 Total: 255.1200; Orientation: 1.2695; Line Search: 203.6117
Adding measurement 2c19c762 to history. Total: 3
Rejected: LBFGS Orientation magnitude: 4.039e+03, gradient 2.714e-04, dot -0.392; [5fb3ad98-e4ae-42e0-832c-b815bb688a0c = 1.000/1.000e+00]
Orientation rejected. Popping history element from 0.3886754661798477, 2.43850077688694, 3.03398334980011, 3.548311024904251
LBFGS Accumulation History: 3 points
Removed measurement 2c19c762 to history. Total: 3
th(0)=0.3886754661798477;dx=-7.319070500237211E-8
New Minimum: 0.3886754661798477 > 0.127545565366745
END: th(4678721.544281682)=0.127545565366745; dx=-3.864336295918722E-8 evalInputDelta=0.2611299008131027
Fitness changed from 0.3886754661798477 to 0.127545565366745
Iteration 8 complete. Error: 0.127545565366745 Total: 152.2403; Orientation: 1.2756; Line Search: 100.2562
Final threshold in iteration 8: 0.127545565366745 (> -Infinity) after 1951.518s (< 1800.000s)
0.127545565366745