Code from BasicOptimizer.scala:75 executed in 137.20 seconds (2.467 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: 1148427747748200
Reset training subject: 1148430087085000
Adding measurement 65384249 to history. Total: 0
LBFGS Accumulation History: 1 points
Constructing line search parameters: GD+Trust
th(0)=10.646107057109475;dx=-5.196748827587577E-6
New Minimum: 10.646107057109475 > 10.646082539111376
WOLFE (weak): th(2.154434690031884)=10.646082539111376; dx=-5.203603489187058E-6 evalInputDelta=2.4517998099327087E-5
New Minimum: 10.646082539111376 > 10.646058453246951
WOLFE (weak): th(4.308869380063768)=10.646058453246951; dx=-5.206210433560427E-6 evalInputDelta=4.860386252403259E-5
New Minimum: 10.646058453246951 > 10.645960878580809
WOLFE (weak): th(12.926608140191302)=10.645960878580809; dx=-5.188997975607598E-6 evalInputDelta=1.4617852866649628E-4
New Minimum: 10.645960878580809 > 10.645522553473711
WOLFE (weak): th(51.70643256076521)=10.645522553473711; dx=-5.206348876214748E-6 evalInputDelta=5.84503635764122E-4
New Minimum: 10.645522553473711 > 10.643182283267379
WOLFE (weak): th(258.53216280382605)=10.643182283267379; dx=-5.203565296840718E-6 evalInputDelta=0.0029247738420963287
New Minimum: 10.643182283267379 > 10.628538213670254
WOLFE (weak): th(1551.1929768229563)=10.628538213670254; dx=-5.202408685223021E-6 evalInputDelta=0.017568843439221382
New Minimum: 10.628538213670254 > 10.52279220148921
WOLFE (weak): th(10858.350837760694)=10.52279220148921; dx=-5.184878527918124E-6 evalInputDelta=0.12331485562026501
New Minimum: 10.52279220148921 > 9.714988328516483
END: th(86866.80670208555)=9.714988328516483; dx=-4.164705772624672E-6 evalInputDelta=0.9311187285929918
Fitness changed from 10.646107057109475 to 9.714988328516483
Iteration 1 complete. Error: 9.714988328516483 Total: 26.9065; Orientation: 0.0156; Line Search: 19.6961
<a id="p-3"></a>Iteration 1
<a id="p-2"></a>
Adding measurement 5e8f1db2 to history. Total: 1
LBFGS Accumulation History: 2 points
th(0)=9.714988328516483;dx=-4.705511658668977E-6
...skipping 10215 bytes...
itude: 2.012e+03, gradient 2.695e-04, dot -0.725; [c36c3eef-b1d3-4acd-a13d-260c03438826 = 1.000/1.000e+00]
Orientation rejected. Popping history element from 1.6753024086356163, 1.4067761823534966, 1.2350964918732643, 1.036535818129778
LBFGS Accumulation History: 3 points
Removed measurement 3444ac8f to history. Total: 4
th(0)=1.036535818129778;dx=-7.242370175594984E-8
New Minimum: 1.036535818129778 > 0.8728169649839401
WOLF (strong): th(4332149.578038597)=0.8728169649839401; dx=3.402922726262015E-9 evalInputDelta=0.16371885314583778
New Minimum: 0.8728169649839401 > 0.8522736579179764
END: th(2166074.7890192983)=0.8522736579179764; dx=-1.7891599060645653E-8 evalInputDelta=0.18426216021180153
Fitness changed from 1.036535818129778 to 0.8522736579179764
Iteration 14 complete. Error: 0.8522736579179764 Total: 8.7591; Orientation: 0.0388; Line Search: 6.6173
Adding measurement 35f011cf to history. Total: 3
Rejected: LBFGS Orientation magnitude: 1.853e+03, gradient 2.731e-04, dot -0.694; [c36c3eef-b1d3-4acd-a13d-260c03438826 = 1.000/1.000e+00]
Orientation rejected. Popping history element from 1.4067761823534966, 1.2350964918732643, 1.036535818129778, 0.8522736579179764
LBFGS Accumulation History: 3 points
Removed measurement 3b6f7ab3 to history. Total: 4
th(0)=0.8522736579179764;dx=-7.434229739198067E-8
New Minimum: 0.8522736579179764 > 0.8104100823402405
WOLF (strong): th(4666666.66666667)=0.8104100823402405; dx=1.8038616283804964E-8 evalInputDelta=0.0418635755777359
New Minimum: 0.8104100823402405 > 0.6763329692184925
END: th(2333333.333333335)=0.6763329692184925; dx=-6.2813891346407905E-9 evalInputDelta=0.17594068869948387
Fitness changed from 0.8522736579179764 to 0.6763329692184925
Iteration 15 complete. Error: 0.6763329692184925 Total: 8.7076; Orientation: 0.0392; Line Search: 6.5743
<a id="p-15"></a>Iteration 15
<a id="p-14"></a>
Final threshold in iteration 16: 0.6763329692184925 (> -Infinity) after 137.179s (< 3600.000s)
0.6763329692184925