Code from BasicOptimizer.scala:88 executed in 1603.14 seconds (4.339 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: 1504974644995
Reset training subject: 1540606115198
Adding measurement 1ba18474 to history. Total: 0
LBFGS Accumulation History: 1 points
Constructing line search parameters: GD+Trust
th(0)=2.386604107916355;dx=-2.976294361201893E-7
New Minimum: 2.386604107916355 > 2.386602997779846
WOLFE (weak): th(2.154434690031884)=2.386602997779846; dx=-3.1047638756046294E-7 evalInputDelta=1.1101365089416504E-6
New Minimum: 2.386602997779846 > 2.3866015821695328
WOLFE (weak): th(4.308869380063768)=2.3866015821695328; dx=-2.9805133727914805E-7 evalInputDelta=2.5257468223571777E-6
New Minimum: 2.3866015821695328 > 2.3865958005189896
WOLFE (weak): th(12.926608140191302)=2.3865958005189896; dx=-3.105892349329231E-7 evalInputDelta=8.307397365570068E-6
New Minimum: 2.3865958005189896 > 2.386572301387787
WOLFE (weak): th(51.70643256076521)=2.386572301387787; dx=-3.036553485399575E-7 evalInputDelta=3.180652856826782E-5
New Minimum: 2.386572301387787 > 2.3864466845989227
WOLFE (weak): th(258.53216280382605)=2.3864466845989227; dx=-3.1134410033894476E-7 evalInputDelta=1.5742331743240356E-4
New Minimum: 2.3864466845989227 > 2.385662078857422
WOLFE (weak): th(1551.1929768229563)=2.385662078857422; dx=-2.960746089205529E-7 evalInputDelta=9.420290589332581E-4
New Minimum: 2.385662078857422 > 2.3800356686115265
WOLFE (weak): th(10858.350837760694)=2.3800356686115265; dx=-3.04648146673666E-7 evalInputDelta=0.006568439304828644
New Minimum: 2.3800356686115265 > 2.334714211523533
WOLFE (weak): th(86866.80670208555)=2.334714211523533; dx=-2.828691419936156E-7 evalInputDelta=0.051889896392822266
New Minimum: 2.334714211523533 > 1.9765301421284676
END: th(781801.26031877)=1.9765301421284676; dx=-1.9360692850144337E-7 evalInputDelta=0.4100739657878876
Fitness changed from 2.386604107916355 to 1.9765301421284676
Iteration 1 complete. Error: 1.9765301421284676 Total: 453.4403; Orientation: 0.0256; Line Search: 349.6682
<a id="p-3"></a>Iteration 1
<a id="p-2"></a>
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0.6586; Line Search: 69.7256
Adding measurement 64438e31 to history. Total: 3
Rejected: LBFGS Orientation magnitude: 4.708e+03, gradient 2.240e-04, dot -0.339; [e0f0f3f9-081a-4c18-a9ae-16f7e655261d = 1.000/1.000e+00]
Orientation rejected. Popping history element from -0.9481681734323502, 1.397275149822235, 1.9765301421284676, 2.386604107916355
LBFGS Accumulation History: 3 points
Removed measurement 64438e31 to history. Total: 3
th(0)=-0.9481681734323502;dx=-4.913954677197456E-8
Armijo: th(1.5120000000000002E7)=-0.5497835874557495; dx=3.7336914978419195E-10 evalInputDelta=-0.39838458597660065
New Minimum: -0.9481681734323502 > -1.0418228805065155
END: th(7560000.000000001)=-1.0418228805065155; dx=-1.1917336861417285E-8 evalInputDelta=0.09365470707416534
Fitness changed from -0.9481681734323502 to -1.0418228805065155
Iteration 9 complete. Error: -1.0418228805065155 Total: 139.6436; Orientation: 0.6607; Line Search: 103.9284
Adding measurement 2db76a1b to history. Total: 3
Rejected: LBFGS Orientation magnitude: 4.075e+03, gradient 2.126e-04, dot -0.301; [e0f0f3f9-081a-4c18-a9ae-16f7e655261d = 1.000/1.000e+00]
Orientation rejected. Popping history element from -1.0418228805065155, 1.397275149822235, 1.9765301421284676, 2.386604107916355
LBFGS Accumulation History: 3 points
Removed measurement 2db76a1b to history. Total: 3
th(0)=-1.0418228805065155;dx=-4.4648363197521867E-8
Armijo: th(1.6287526256641043E7)=-0.555904358625412; dx=1.8553987392381104E-9 evalInputDelta=-0.4859185218811035
New Minimum: -1.0418228805065155 > -1.1306416392326355
END: th(8143763.128320522)=-1.1306416392326355; dx=-8.436761423415609E-9 evalInputDelta=0.08881875872612
Fitness changed from -1.0418228805065155 to -1.1306416392326355
Iteration 10 complete. Error: -1.1306416392326355 Total: 138.4560; Orientation: 0.6448; Line Search: 104.0711
<a id="p-13"></a>Iteration 10
<a id="p-12"></a>
Final threshold in iteration 11: -1.1306416392326355 (> -Infinity) after 1603.135s (< 1800.000s)
-1.1306416392326355