Subreport: Logs for com.simiacryptus.ref.lang.ReferenceCountingBase
Using Seed 2750818069592927232
SingleDerivativeTester.java:101 executed in 0.00 seconds (0.000 gc):
log.info(RefString.format("Inputs: %s", prettyPrint(inputPrototype)));
log.info(RefString.format("Inputs Statistics: %s", printStats(inputPrototype)));
log.info(RefString.format("Output: %s", outputPrototype.prettyPrint()));
assert outputPrototype != null;
log.info(RefString.format("Outputs Statistics: %s", outputPrototype.getScalarStatistics()));
},
outputPrototype.addRef(),
RefUtil.addRef(inputPrototype)));
Inputs: [
[ [ 0.08 ], [ -0.128 ], [ -0.608 ] ],
[ [ 0.7 ], [ 0.496 ], [ 1.764 ] ]
]
Inputs Statistics: {meanExponent=-0.403119694464533, negative=2, min=-0.608, max=1.764, mean=0.38399999999999995, count=6, sum=2.304, positive=4, stdDev=0.747821725636086, zeros=0}
Output: [
[ [ 0.039978680311163695 ], [ -0.0639127615952817 ], [ -0.29496888033103175 ] ],
[ [ 0.3363755443363323 ], [ 0.243037713855222 ], [ 0.7074198489653143 ] ]
]
Outputs Statistics: {meanExponent=-0.7267720728174915, negative=2, min=-0.29496888033103175, max=0.7074198489653143, mean=0.1613216909236198, count=6, sum=0.9679301455417189, positive=4, stdDev=0.31864304178207764, zeros=0}
We validate the agreement between the implemented derivative of the inputs apply finite difference estimations:
SingleDerivativeTester.java:117 executed in 0.02 seconds (0.000 gc):
return testFeedback(
statistics,
component.addRef(),
RefUtil.addRef(inputPrototype),
outputPrototype.addRef());
},
outputPrototype.addRef(),
RefUtil.addRef(inputPrototype),
component.addRef()));
Feedback for input 0
Inputs Values: [
[ [ 0.08 ], [ -0.128 ], [ -0.608 ] ],
[ [ 0.7 ], [ 0.496 ], [ 1.764 ] ]
]
Value Statistics: {meanExponent=-0.403119694464533, negative=2, min=-0.608, max=1.764, mean=0.38399999999999995, count=6, sum=2.304, positive=4, stdDev=0.747821725636086, zeros=0}
Implemented Feedback: [ [ 0.499200852560289, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.44342574658621814, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.4979575794526323, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.4704663348220136, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.4564966798181287, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.24977857864494593 ] ]
Implemented Statistics: {meanExponent=-0.3713650105578275, negative=0, min=0.0, max=0.499200852560289, mean=0.07270349366345076, count=36, sum=2.6173257718842273, positive=6, stdDev=0.16630110212362303, zeros=30}
Measured Feedback: [ [ 0.4991998542758225, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.44341828846050646, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.4979591703369035, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.47046061744770995, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.45650341215175416, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.24976974383195127 ] ]
Measured Statistics: {meanExponent=-0.3713685139070689, negative=0, min=0.0, max=0.4991998542758225, mean=0.07270308573624022, count=36, sum=2.617311086504648, positive=6, stdDev=0.1663004726108787, zeros=30}
Feedback Error: [ [ -9.98284466535715E-7, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, -7.458125711679031E-6, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 1.590884271207571E-6, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, -5.717374303659817E-6, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 6.732333625469877E-6, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, -8.834812994656938E-6 ] ]
Error Statistics: {meanExponent=-5.399152963788719, negative=4, min=-8.834812994656938E-6, max=6.732333625469877E-6, mean=-4.079272105515014E-7, count=36, sum=-1.4685379579854052E-5, positive=2, stdDev=2.4107811289839876E-6, zeros=30}
Returns
{
"absoluteTol" : {
"count" : 36,
"sum" : 3.133181537320895E-5,
"min" : 0.0,
"max" : 8.834812994656938E-6,
"sumOfSquare" : 2.1521772939505105E-10,
"standardDeviation" : 2.284906798292542E-6,
"average" : 8.703282048113597E-7
},
"relativeTol" : {
"count" : 6,
"sum" : 4.214281028027537E-5,
"min" : 9.99883573499497E-7,
"max" : 1.7685602367457703E-5,
"sumOfSquare" : 4.783511647476975E-10,
"standardDeviation" : 5.512839886641664E-6,
"average" : 7.023801713379228E-6
}
}
We validate the agreement between the implemented derivative of the internal weights apply finite difference estimations:
SingleDerivativeTester.java:133 executed in 0.00 seconds (0.000 gc):
return testLearning(
statistics,
component.addRef(),
RefUtil.addRef(inputPrototype),
outputPrototype.addRef());
},
outputPrototype.addRef(),
RefUtil.addRef(inputPrototype),
component.addRef()));
Returns
{
"absoluteTol" : {
"count" : 36,
"sum" : 3.133181537320895E-5,
"min" : 0.0,
"max" : 8.834812994656938E-6,
"sumOfSquare" : 2.1521772939505105E-10,
"standardDeviation" : 2.284906798292542E-6,
"average" : 8.703282048113597E-7
},
"relativeTol" : {
"count" : 6,
"sum" : 4.214281028027537E-5,
"min" : 9.99883573499497E-7,
"max" : 1.7685602367457703E-5,
"sumOfSquare" : 4.783511647476975E-10,
"standardDeviation" : 5.512839886641664E-6,
"average" : 7.023801713379228E-6
}
}
The overall agreement accuracy between the implemented derivative and the finite difference estimations:
SingleDerivativeTester.java:148 executed in 0.00 seconds (0.000 gc):
//log.info(String.format("Component: %s\nInputs: %s\noutput=%s", component, Arrays.toStream(inputPrototype), outputPrototype));
log.info(RefString.format("Finite-Difference Derivative Accuracy:"));
log.info(RefString.format("absoluteTol: %s", statistics.absoluteTol));
log.info(RefString.format("relativeTol: %s", statistics.relativeTol));
Finite-Difference Derivative Accuracy:
absoluteTol: 8.7033e-07 +- 2.2849e-06 [0.0000e+00 - 8.8348e-06] (36#)
relativeTol: 7.0238e-06 +- 5.5128e-06 [9.9988e-07 - 1.7686e-05] (6#)
SingleDerivativeTester.java:156 executed in 0.00 seconds (0.000 gc):
testFrozen(component.addRef(), RefUtil.addRef(inputPrototype));
testUnFrozen(component.addRef(), RefUtil.addRef(inputPrototype));
LayerTests.java:425 executed in 0.00 seconds (0.000 gc):
throwException(exceptions.addRef());
class | details | result |
---|---|---|
com.simiacryptus.mindseye.test.unit.SingleDerivativeTester | ToleranceStatistics{absoluteTol=8.7033e-07 +- 2.2849e-06 [0.0000e+00 - 8.8348e-06] (36#), relativeTol=7.0238e-06 +- 5.5128e-06 [9.9988e-07 - 1.7686e-05] (6#)} | OK |
{
"result": "OK",
"performance": {
"execution_time": "0.157",
"gc_time": "0.101"
},
"created_on": 1586736749408,
"file_name": "derivativeTest",
"report": {
"simpleName": "Basic",
"canonicalName": "com.simiacryptus.mindseye.layers.java.SigmoidActivationLayerTest.Basic",
"link": "https://github.com/SimiaCryptus/mindseye-java/tree/93db34cedee48c0202777a2b25deddf1dfaf5731/src/test/java/com/simiacryptus/mindseye/layers/java/SigmoidActivationLayerTest.java",
"javaDoc": ""
},
"archive": "s3://code.simiacrypt.us/tests/com/simiacryptus/mindseye/layers/java/SigmoidActivationLayer/Basic/derivativeTest/202004131229",
"id": "ee2a63cf-7c7b-48c2-ac10-71cf5fc07fe1",
"report_type": "Components",
"display_name": "Derivative Validation",
"target": {
"simpleName": "SigmoidActivationLayer",
"canonicalName": "com.simiacryptus.mindseye.layers.java.SigmoidActivationLayer",
"link": "https://github.com/SimiaCryptus/mindseye-java/tree/93db34cedee48c0202777a2b25deddf1dfaf5731/src/main/java/com/simiacryptus/mindseye/layers/java/SigmoidActivationLayer.java",
"javaDoc": ""
}
}