Code from BasicOptimizer.scala:88 executed in 376.96 seconds (3.776 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: 2448509538360
Reset training subject: 2451128906059
Adding measurement 49fbcbb7 to history. Total: 0
LBFGS Accumulation History: 1 points
Constructing line search parameters: GD+Trust
th(0)=1.8273265361785889;dx=-1.4853620231441415E-7
New Minimum: 1.8273265361785889 > 1.827326014637947
WOLFE (weak): th(2.154434690031884)=1.827326014637947; dx=-1.4624272785972103E-7 evalInputDelta=5.21540641784668E-7
New Minimum: 1.827326014637947 > 1.82732555270195
WOLFE (weak): th(4.308869380063768)=1.82732555270195; dx=-1.4624673808388834E-7 evalInputDelta=9.834766387939453E-7
New Minimum: 1.82732555270195 > 1.8273232579231262
WOLFE (weak): th(12.926608140191302)=1.8273232579231262; dx=-1.462036956319051E-7 evalInputDelta=3.2782554626464844E-6
New Minimum: 1.8273232579231262 > 1.8273135423660278
WOLFE (weak): th(51.70643256076521)=1.8273135423660278; dx=-1.462788474224694E-7 evalInputDelta=1.2993812561035156E-5
New Minimum: 1.8273135423660278 > 1.8272607028484344
WOLFE (weak): th(258.53216280382605)=1.8272607028484344; dx=-1.461846696918268E-7 evalInputDelta=6.583333015441895E-5
New Minimum: 1.8272607028484344 > 1.82693150639534
WOLFE (weak): th(1551.1929768229563)=1.82693150639534; dx=-1.462313001588656E-7 evalInputDelta=3.9502978324890137E-4
New Minimum: 1.82693150639534 > 1.82456174492836
WOLFE (weak): th(10858.350837760694)=1.82456174492836; dx=-1.4618992018150454E-7 evalInputDelta=0.002764791250228882
New Minimum: 1.82456174492836 > 1.8052614778280258
WOLFE (weak): th(86866.80670208555)=1.8052614778280258; dx=-1.4528378639643218E-7 evalInputDelta=0.02206505835056305
New Minimum: 1.8052614778280258 > 1.6352656781673431
WOLFE (weak): th(781801.26031877)=1.6352656781673431; dx=-1.358924263670056E-7 evalInputDelta=0.19206085801124573
New Minimum: 1.6352656781673431 > 0.5799292623996735
END: th(7818012.6031877)=0.5799292623996735; dx=-5.923373589804338E-8 evalInputDelta=1.2473972737789154
Fitness changed from 1.8273265361785889 to 0.5799292623996735
Iteration 1 complete. Error: 0.5799292623996735 Total:
...skipping 25703 bytes...
ent 2.801e-05, dot -0.588; [51c23e9c-4e3e-4c96-92df-5dfada7cc693 = 1.000/1.000e+00]
Orientation rejected. Popping history element from -1.6790078952908516, -0.3005317151546478, 0.5799292623996735, 1.8273265361785889
LBFGS Accumulation History: 3 points
Removed measurement 31c2fd4d to history. Total: 3
th(0)=-1.6790078952908516;dx=-7.818238435035302E-10
New Minimum: -1.6790078952908516 > -1.6825672835111618
WOLF (strong): th(1.4689634799664306E7)=-1.6825672835111618; dx=2.333846999353163E-11 evalInputDelta=0.003559388220310211
New Minimum: -1.6825672835111618 > -1.6835192367434502
END: th(7344817.399832153)=-1.6835192367434502; dx=-2.369118448080952E-10 evalInputDelta=0.004511341452598572
Fitness changed from -1.6790078952908516 to -1.6835192367434502
Iteration 29 complete. Error: -1.6835192367434502 Total: 12.2421; Orientation: 0.3278; Line Search: 9.1777
Adding measurement 5e143413 to history. Total: 3
Rejected: LBFGS Orientation magnitude: 3.032e+03, gradient 2.883e-05, dot -0.566; [51c23e9c-4e3e-4c96-92df-5dfada7cc693 = 1.000/1.000e+00]
Orientation rejected. Popping history element from -1.6835192367434502, -0.3005317151546478, 0.5799292623996735, 1.8273265361785889
LBFGS Accumulation History: 3 points
Removed measurement 5e143413 to history. Total: 3
th(0)=-1.6835192367434502;dx=-8.280419940707827E-10
New Minimum: -1.6835192367434502 > -1.6854217201471329
WOLF (strong): th(1.5823929398148172E7)=-1.6854217201471329; dx=8.090396312414729E-11 evalInputDelta=0.0019024834036827087
New Minimum: -1.6854217201471329 > -1.6875796169042587
END: th(7911964.699074086)=-1.6875796169042587; dx=-1.1941903054536388E-10 evalInputDelta=0.004060380160808563
Fitness changed from -1.6835192367434502 to -1.6875796169042587
Iteration 30 complete. Error: -1.6875796169042587 Total: 11.6271; Orientation: 0.3508; Line Search: 8.7270
<a id="p-21"></a>Iteration 30
<a id="p-20"></a>
Final threshold in iteration 31: -1.6875796169042587 (> -Infinity) after 376.963s (< 3600.000s)
-1.6875796169042587