Code from BasicOptimizer.scala:75 executed in 234.19 seconds (1.726 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: 922491219105000
Reset training subject: 922498826215500
Adding measurement 4839730e to history. Total: 0
LBFGS Accumulation History: 1 points
Constructing line search parameters: GD+Trust
th(0)=0.7467390447854996;dx=-1.2002548527478416E-7
New Minimum: 0.7467390447854996 > 0.7467389106750488
WOLFE (weak): th(2.154434690031884)=0.7467389106750488; dx=-1.1987702608196457E-7 evalInputDelta=1.341104507446289E-7
New Minimum: 0.7467389106750488 > 0.7467387765645981
WOLFE (weak): th(4.308869380063768)=0.7467387765645981; dx=-1.1987706906374902E-7 evalInputDelta=2.682209014892578E-7
New Minimum: 0.7467387765645981 > 0.7467377185821533
WOLFE (weak): th(12.926608140191302)=0.7467377185821533; dx=-1.19876700074845E-7 evalInputDelta=1.3262033462524414E-6
New Minimum: 0.7467377185821533 > 0.7467331141233444
WOLFE (weak): th(51.70643256076521)=0.7467331141233444; dx=-1.1987370375928937E-7 evalInputDelta=5.930662155151367E-6
New Minimum: 0.7467331141233444 > 0.746709480881691
WOLFE (weak): th(258.53216280382605)=0.746709480881691; dx=-1.1986825402667452E-7 evalInputDelta=2.956390380859375E-5
New Minimum: 0.746709480881691 > 0.7465617060661316
WOLFE (weak): th(1551.1929768229563)=0.7465617060661316; dx=-1.1980397550614533E-7 evalInputDelta=1.7733871936798096E-4
New Minimum: 0.7465617060661316 > 0.745499387383461
WOLFE (weak): th(10858.350837760694)=0.745499387383461; dx=-1.1957182645579228E-7 evalInputDelta=0.0012396574020385742
New Minimum: 0.745499387383461 > 0.7369013726711273
WOLFE (weak): th(86866.80670208555)=0.7369013726711273; dx=-1.1773289954621692E-7 evalInputDelta=0.009837672114372253
New Minimum: 0.7369013726711273 > 0.6652076840400696
END: th(781801.26031877)=0.6652076840400696; dx=-9.824413646651784E-8 evalInputDelta=0.08153136074542999
Fitness changed from 0.7467390447854996 to 0.6652076840400696
Iteration 1 complete. Error: 0.6652076840400696 Total: 101.8814; Orientation: 0.0703; Line Search: 79.1529
<a id="p-3"></a>Iteration 1
<a id="p-2"></a>![Iteration 1](etc/74
...skipping 2005 bytes...
n 4
<a id="p-8"></a>
Adding measurement 7a3d7252 to history. Total: 3
Rejected: LBFGS Orientation magnitude: 2.505e+03, gradient 1.276e-04, dot -0.874; [977d25e1-cdbf-48c3-becb-4e626fa50341 = 1.000/1.000e+00]
Orientation rejected. Popping history element from 0.6652076840400696, 0.5461108833551407, 0.4090079963207245, 0.2781539559364319
LBFGS Accumulation History: 3 points
Removed measurement 7b24032c to history. Total: 4
th(0)=0.2781539559364319;dx=-1.629014368455531E-8
New Minimum: 0.2781539559364319 > 0.17429810762405396
END: th(1.684339755941405E7)=0.17429810762405396; dx=-3.2789034973392456E-9 evalInputDelta=0.10385584831237793
Fitness changed from 0.2781539559364319 to 0.17429810762405396
Iteration 5 complete. Error: 0.17429810762405396 Total: 25.9533; Orientation: 2.1088; Line Search: 15.5937
<a id="p-11"></a>Iteration 5
<a id="p-10"></a>
Adding measurement 3f53b38f to history. Total: 3
Rejected: LBFGS Orientation magnitude: 2.410e+03, gradient 1.127e-04, dot -0.734; [977d25e1-cdbf-48c3-becb-4e626fa50341 = 1.000/1.000e+00]
Orientation rejected. Popping history element from 0.5461108833551407, 0.4090079963207245, 0.2781539559364319, 0.17429810762405396
LBFGS Accumulation History: 3 points
Removed measurement 64917f70 to history. Total: 4
th(0)=0.17429810762405396;dx=-1.2707817551298198E-8
New Minimum: 0.17429810762405396 > 0.15990954637527466
WOLF (strong): th(3.6288E7)=0.15990954637527466; dx=1.6747585013331242E-9 evalInputDelta=0.014388561248779297
New Minimum: 0.15990954637527466 > 0.11559450626373291
END: th(1.8144E7)=0.11559450626373291; dx=-1.73572861828748E-10 evalInputDelta=0.058703601360321045
Fitness changed from 0.17429810762405396 to 0.11559450626373291
Iteration 6 complete. Error: 0.11559450626373291 Total: 32.2916; Orientation: 1.9311; Line Search: 23.0119
Final threshold in iteration 7: 0.11559450626373291 (> -Infinity) after 234.193s (< 720.000s)
0.11559450626373291