Code from BasicOptimizer.scala:75 executed in 16.64 seconds (0.604 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: 916960299249800
Reset training subject: 916960903593700
Adding measurement 21625af9 to history. Total: 0
LBFGS Accumulation History: 1 points
Constructing line search parameters: GD+Trust
th(0)=2.6417967677116394;dx=-8.054714358243059E-6
New Minimum: 2.6417967677116394 > 2.64178416877985
WOLFE (weak): th(2.154434690031884)=2.64178416877985; dx=-8.053877892269106E-6 evalInputDelta=1.2598931789398193E-5
New Minimum: 2.64178416877985 > 2.641771338880062
WOLFE (weak): th(4.308869380063768)=2.641771338880062; dx=-8.053900723504568E-6 evalInputDelta=2.5428831577301025E-5
New Minimum: 2.641771338880062 > 2.641721189022064
WOLFE (weak): th(12.926608140191302)=2.641721189022064; dx=-8.052259657219666E-6 evalInputDelta=7.557868957519531E-5
New Minimum: 2.641721189022064 > 2.6414932534098625
WOLFE (weak): th(51.70643256076521)=2.6414932534098625; dx=-8.050606324391252E-6 evalInputDelta=3.03514301776886E-4
New Minimum: 2.6414932534098625 > 2.64027863740921
WOLFE (weak): th(258.53216280382605)=2.64027863740921; dx=-8.050145492203655E-6 evalInputDelta=0.0015181303024291992
New Minimum: 2.64027863740921 > 2.6326721906661987
WOLFE (weak): th(1551.1929768229563)=2.6326721906661987; dx=-8.012159340807153E-6 evalInputDelta=0.009124577045440674
New Minimum: 2.6326721906661987 > 2.5778156220912933
WOLFE (weak): th(10858.350837760694)=2.5778156220912933; dx=-7.628950581604424E-6 evalInputDelta=0.06398114562034607
New Minimum: 2.5778156220912933 > 2.224301964044571
END: th(86866.80670208555)=2.224301964044571; dx=-3.6609607568811406E-6 evalInputDelta=0.4174948036670685
Fitness changed from 2.6417967677116394 to 2.224301964044571
Iteration 1 complete. Error: 2.224301964044571 Total: 6.9576; Orientation: 0.0035; Line Search: 5.3037
<a id="p-3"></a>Iteration 1
<a id="p-2"></a>
Adding measurement 57cb640d to history. Total: 1
LBFGS Accumulation History: 2 points
th(0)=2.224301964044571;dx=-7.090208505089599E-6
New Minimum: 2.224
...skipping 1616 bytes...
Fitness changed from 1.4363535344600677 to 1.186357021331787
Iteration 4 complete. Error: 1.186357021331787 Total: 1.8753; Orientation: 0.1042; Line Search: 1.1813
<a id="p-9"></a>Iteration 4
<a id="p-8"></a>
Adding measurement 563b1ecf to history. Total: 3
Rejected: LBFGS Orientation magnitude: 8.828e+02, gradient 8.901e-04, dot -0.781; [8dc6dc15-acb4-4da9-bc4d-cce3f0c6320e = 1.000/1.000e+00]
Orientation rejected. Popping history element from 2.224301964044571, 1.7653005421161652, 1.4363535344600677, 1.186357021331787
LBFGS Accumulation History: 3 points
Removed measurement 57cb640d to history. Total: 4
th(0)=1.186357021331787;dx=-7.922026375613028E-7
New Minimum: 1.186357021331787 > 0.9400263726711273
END: th(1871488.617712673)=0.9400263726711273; dx=-5.938361478720784E-8 evalInputDelta=0.2463306486606598
Fitness changed from 1.186357021331787 to 0.9400263726711273
Iteration 5 complete. Error: 0.9400263726711273 Total: 1.8759; Orientation: 0.1050; Line Search: 1.1735
<a id="p-11"></a>Iteration 5
<a id="p-10"></a>
Adding measurement 5d11bf2c to history. Total: 3
Rejected: LBFGS Orientation magnitude: 1.237e+03, gradient 6.837e-04, dot -0.779; [8dc6dc15-acb4-4da9-bc4d-cce3f0c6320e = 1.000/1.000e+00]
Orientation rejected. Popping history element from 1.7653005421161652, 1.4363535344600677, 1.186357021331787, 0.9400263726711273
LBFGS Accumulation History: 3 points
Removed measurement f5a7251 to history. Total: 4
th(0)=0.9400263726711273;dx=-4.674478004376978E-7
New Minimum: 0.9400263726711273 > 0.7466156482696533
END: th(4032000.0000000014)=0.7466156482696533; dx=-9.094720227578675E-9 evalInputDelta=0.193410724401474
Fitness changed from 0.9400263726711273 to 0.7466156482696533
Iteration 6 complete. Error: 0.7466156482696533 Total: 2.3895; Orientation: 0.1060; Line Search: 1.6909
Final threshold in iteration 7: 0.7466156482696533 (> -Infinity) after 16.643s (< 720.000s)
0.7466156482696533