Code from BasicOptimizer.scala:88 executed in 400.69 seconds (3.709 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: 4550182329872
Reset training subject: 4558687536472
Adding measurement 613138d6 to history. Total: 0
LBFGS Accumulation History: 1 points
Constructing line search parameters: GD+Trust
th(0)=7.146497264504433;dx=-2.2194846833182563E-7
New Minimum: 7.146497264504433 > 7.146497085690498
WOLFE (weak): th(2.154434690031884)=7.146497085690498; dx=-2.197096045150031E-7 evalInputDelta=1.7881393432617188E-7
New Minimum: 7.146497085690498 > 7.146496459841728
WOLFE (weak): th(4.308869380063768)=7.146496459841728; dx=-2.1964855796425764E-7 evalInputDelta=8.046627044677734E-7
New Minimum: 7.146496459841728 > 7.146494284272194
WOLFE (weak): th(12.926608140191302)=7.146494284272194; dx=-2.1963346188923858E-7 evalInputDelta=2.9802322387695312E-6
New Minimum: 7.146494284272194 > 7.146485149860382
WOLFE (weak): th(51.70643256076521)=7.146485149860382; dx=-2.1963717819055082E-7 evalInputDelta=1.2114644050598145E-5
New Minimum: 7.146485149860382 > 7.146436557173729
WOLFE (weak): th(258.53216280382605)=7.146436557173729; dx=-2.196805433452002E-7 evalInputDelta=6.070733070373535E-5
New Minimum: 7.146436557173729 > 7.146132707595825
WOLFE (weak): th(1551.1929768229563)=7.146132707595825; dx=-2.1964184373913184E-7 evalInputDelta=3.645569086074829E-4
New Minimum: 7.146132707595825 > 7.143943831324577
WOLFE (weak): th(10858.350837760694)=7.143943831324577; dx=-2.1955476545155187E-7 evalInputDelta=0.0025534331798553467
New Minimum: 7.143943831324577 > 7.126096233725548
WOLFE (weak): th(86866.80670208555)=7.126096233725548; dx=-2.1901144333203355E-7 evalInputDelta=0.020401030778884888
New Minimum: 7.126096233725548 > 6.965652033686638
WOLFE (weak): th(781801.26031877)=6.965652033686638; dx=-2.1276123084498881E-7 evalInputDelta=0.1808452308177948
New Minimum: 6.965652033686638 > 5.732388153672218
END: th(7818012.6031877)=5.732388153672218; dx=-1.3827581535103547E-7 evalInputDelta=1.4141091108322144
Fitness changed from 7.146497264504433 to 5.732388153672218
Iteration 1 complete. Error: 5.732388153672218 Total: 118.537
...skipping 5893 bytes...
to history. Total: 3
Rejected: LBFGS Orientation magnitude: 7.954e+03, gradient 1.132e-04, dot -0.247; [2c7ba9c4-bc1d-4ede-9de1-4593c24b255a = 1.000/1.000e+00]
Orientation rejected. Popping history element from -0.36444059014320374, 4.234872683882713, 5.732388153672218, 7.146497264504433
LBFGS Accumulation History: 3 points
Removed measurement 41fe7cd4 to history. Total: 3
th(0)=-0.36444059014320374;dx=-1.2799670774643882E-8
Armijo: th(2.268000000000001E8)=0.8639898002147675; dx=3.322280901043673E-9 evalInputDelta=-1.2284303903579712
New Minimum: -0.36444059014320374 > -0.4980224370956421
WOLF (strong): th(1.1340000000000004E8)=-0.4980224370956421; dx=3.3638633756939465E-12 evalInputDelta=0.13358184695243835
New Minimum: -0.4980224370956421 > -0.6866546869277954
END: th(3.7800000000000015E7)=-0.6866546869277954; dx=-7.24585221621091E-9 evalInputDelta=0.3222140967845917
Fitness changed from -0.36444059014320374 to -0.6866546869277954
Iteration 9 complete. Error: -0.6866546869277954 Total: 42.1448; Orientation: 0.8060; Line Search: 33.5962
Adding measurement 83f5ed to history. Total: 3
Rejected: LBFGS Orientation magnitude: 8.666e+03, gradient 8.855e-05, dot -0.277; [2c7ba9c4-bc1d-4ede-9de1-4593c24b255a = 1.000/1.000e+00]
Orientation rejected. Popping history element from -0.6866546869277954, 4.234872683882713, 5.732388153672218, 7.146497264504433
LBFGS Accumulation History: 3 points
Removed measurement 83f5ed to history. Total: 3
th(0)=-0.6866546869277954;dx=-7.828122934732325E-9
New Minimum: -0.6866546869277954 > -0.8803129941225052
END: th(8.143763128320524E7)=-0.8803129941225052; dx=-2.7964641501712758E-9 evalInputDelta=0.19365830719470978
Fitness changed from -0.6866546869277954 to -0.8803129941225052
Iteration 10 complete. Error: -0.8803129941225052 Total: 25.6387; Orientation: 1.0552; Line Search: 16.1567
<a id="p-13"></a>Iteration 10
<a id="p-12"></a>
Final threshold in iteration 11: -0.8803129941225052 (> -Infinity) after 400.693s (< 3600.000s)
-0.8803129941225052