Code from BasicOptimizer.scala:75 executed in 1389.62 seconds (9.128 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: 740631240137800
Reset training subject: 740648689157200
Adding measurement 5e193ef5 to history. Total: 0
LBFGS Accumulation History: 1 points
Constructing line search parameters: GD+Trust
th(0)=2.1326213090603563;dx=-4.887727489884596E-7
New Minimum: 2.1326213090603563 > 2.13262035538604
WOLFE (weak): th(2.154434690031884)=2.13262035538604; dx=-4.856699525921092E-7 evalInputDelta=9.5367431640625E-7
New Minimum: 2.13262035538604 > 2.1326190887873384
WOLFE (weak): th(4.308869380063768)=2.1326190887873384; dx=-4.856694397954696E-7 evalInputDelta=2.2202730178833008E-6
New Minimum: 2.1326190887873384 > 2.132615179277817
WOLFE (weak): th(12.926608140191302)=2.132615179277817; dx=-4.856665244227651E-7 evalInputDelta=6.129782539332496E-6
New Minimum: 2.132615179277817 > 2.1325961735773014
WOLFE (weak): th(51.70643256076521)=2.1325961735773014; dx=-4.856585290615612E-7 evalInputDelta=2.5135483054938845E-5
New Minimum: 2.1325961735773014 > 2.132495775908758
WOLFE (weak): th(258.53216280382605)=2.132495775908758; dx=-4.8561727011759E-7 evalInputDelta=1.2553315159813394E-4
New Minimum: 2.132495775908758 > 2.1318682293600593
WOLFE (weak): th(1551.1929768229563)=2.1318682293600593; dx=-4.85475192319108E-7 evalInputDelta=7.530797002970324E-4
New Minimum: 2.1318682293600593 > 2.127355049909021
WOLFE (weak): th(10858.350837760694)=2.127355049909021; dx=-4.843769829144964E-7 evalInputDelta=0.005266259151335273
New Minimum: 2.127355049909021 > 2.090865322631457
WOLFE (weak): th(86866.80670208555)=2.090865322631457; dx=-4.7597916168242986E-7 evalInputDelta=0.04175598642889922
New Minimum: 2.090865322631457 > 1.789593996064044
END: th(781801.26031877)=1.789593996064044; dx=-3.889717541630348E-7 evalInputDelta=0.3430273129963124
Fitness changed from 2.1326213090603563 to 1.789593996064044
Iteration 1 complete. Error: 1.789593996064044 Total: 225.7358; Orientation: 0.0320; Line Search: 172.2175
<a id="p-3"></a>Iteration 1
<a id="p-2"></a>=-0.566171765292995;dx=-1.8836125620085323E-8
New Minimum: -0.566171765292995 > -0.5851590217871072
END: th(1570941.9614815828)=-0.5851590217871072; dx=-6.0409145804363135E-9 evalInputDelta=0.01898725649411226
Fitness changed from -0.566171765292995 to -0.5851590217871072
Iteration 19 complete. Error: -0.5851590217871072 Total: 50.1582; Orientation: 0.8999; Line Search: 32.7834
Adding measurement 26bb92e2 to history. Total: 3
Rejected: LBFGS Orientation magnitude: 2.324e+03, gradient 8.199e-05, dot -0.931; [096d4903-b06d-4add-9990-6191feb4f5b4 = 1.000/1.000e+00]
Orientation rejected. Popping history element from -0.5012226189642115, -0.5448905776037807, -0.566171765292995, -0.5851590217871072
LBFGS Accumulation History: 3 points
Removed measurement 54c11750 to history. Total: 4
th(0)=-0.5851590217871072;dx=-6.7220241683366495E-9
New Minimum: -0.5851590217871072 > -0.6058646926545799
END: th(3384491.8578426535)=-0.6058646926545799; dx=-5.957344613451746E-9 evalInputDelta=0.02070567086747266
Fitness changed from -0.5851590217871072 to -0.6058646926545799
Iteration 20 complete. Error: -0.6058646926545799 Total: 50.2092; Orientation: 0.9081; Line Search: 32.7331
<a id="p-17"></a>Iteration 20
<a id="p-16"></a>
Final threshold in iteration 21: -0.6058646926545799 (> -Infinity) after 1389.615s (< 3600.000s)
-0.6058646926545799