Code from BasicOptimizer.scala:75 executed in 278.11 seconds (3.923 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: 929800641977600
Reset training subject: 929804713224000
Adding measurement 32328d to history. Total: 0
LBFGS Accumulation History: 1 points
Constructing line search parameters: GD+Trust
th(0)=3.3656197926029563;dx=-4.230919707451492E-4
New Minimum: 3.3656197926029563 > 3.3649198627099395
WOLFE (weak): th(2.154434690031884)=3.3649198627099395; dx=-4.2352031430753544E-4 evalInputDelta=6.999298930168152E-4
New Minimum: 3.3649198627099395 > 3.3642211225815117
WOLFE (weak): th(4.308869380063768)=3.3642211225815117; dx=-4.2026790995219524E-4 evalInputDelta=0.001398670021444559
New Minimum: 3.3642211225815117 > 3.361433316487819
WOLFE (weak): th(12.926608140191302)=3.361433316487819; dx=-4.2135345518041454E-4 evalInputDelta=0.004186476115137339
New Minimum: 3.361433316487819 > 3.3490038868039846
WOLFE (weak): th(51.70643256076521)=3.3490038868039846; dx=-4.164808839353121E-4 evalInputDelta=0.016615905798971653
New Minimum: 3.3490038868039846 > 3.28918403852731
END: th(258.53216280382605)=3.28918403852731; dx=-3.261968771811363E-4 evalInputDelta=0.0764357540756464
Fitness changed from 3.3656197926029563 to 3.28918403852731
Iteration 1 complete. Error: 3.28918403852731 Total: 37.6329; Orientation: 0.0790; Line Search: 25.8672
<a id="p-3"></a>Iteration 1
<a id="p-2"></a>
Adding measurement 628ca915 to history. Total: 1
LBFGS Accumulation History: 2 points
th(0)=3.28918403852731;dx=-3.136793470239264E-4
New Minimum: 3.28918403852731 > 3.1803602976724505
END: th(556.9906600335335)=3.1803602976724505; dx=-2.0654965112982046E-4 evalInputDelta=0.10882374085485935
Fitness changed from 3.28918403852731 to 3.1803602976724505
Iteration 2 complete. Error: 3.1803602976724505 Total: 12.0605; Orientation: 0.0697; Line Search: 8.0450
<a id="p-5"></a>Iteration 2
<a id="p-4"></a>
Adding measurement 33284c04 to history. Total: 2
LBFGS Accumulation History: 3 points
th
...skipping 9871 bytes...
1208466187)=2.679084835574031; dx=-6.685325398469992E-6 evalInputDelta=0.0045139966532588005
Fitness changed from 2.6835988322272897 to 2.679084835574031
Iteration 13 complete. Error: 2.679084835574031 Total: 14.2671; Orientation: 2.0515; Line Search: 8.3066
Adding measurement 1864759f to history. Total: 3
Rejected: LBFGS Orientation magnitude: 1.926e+01, gradient 2.609e-03, dot -0.961; [155b1248-0825-4358-9b5d-d70f69d504fb = 1.000/1.000e+00]
Orientation rejected. Popping history element from 2.687655093614012, 2.686235222965479, 2.6835988322272897, 2.679084835574031
LBFGS Accumulation History: 3 points
Removed measurement 4e2ebcc3 to history. Total: 4
th(0)=2.679084835574031;dx=-6.80837833446642E-6
New Minimum: 2.679084835574031 > 2.6696786331012845
END: th(1933.995347338659)=2.6696786331012845; dx=-5.5220735458954545E-6 evalInputDelta=0.009406202472746372
Fitness changed from 2.679084835574031 to 2.6696786331012845
Iteration 14 complete. Error: 2.6696786331012845 Total: 14.1138; Orientation: 2.0500; Line Search: 8.1960
Adding measurement 14c126f9 to history. Total: 3
Rejected: LBFGS Orientation magnitude: 4.496e+01, gradient 2.388e-03, dot -0.966; [155b1248-0825-4358-9b5d-d70f69d504fb = 1.000/1.000e+00]
Orientation rejected. Popping history element from 2.686235222965479, 2.6835988322272897, 2.679084835574031, 2.6696786331012845
LBFGS Accumulation History: 3 points
Removed measurement 654fb82d to history. Total: 4
th(0)=2.6696786331012845;dx=-5.7033716740563055E-6
New Minimum: 2.6696786331012845 > 2.6524625262245536
END: th(4166.66666666667)=2.6524625262245536; dx=-3.936940715297527E-6 evalInputDelta=0.01721610687673092
Fitness changed from 2.6696786331012845 to 2.6524625262245536
Iteration 15 complete. Error: 2.6524625262245536 Total: 14.6238; Orientation: 2.2979; Line Search: 8.3024
<a id="p-15"></a>Iteration 15
<a id="p-14"></a>
Final threshold in iteration 16: 2.6524625262245536 (> -Infinity) after 278.108s (< 1800.000s)
2.6524625262245536