Subreport: Logs for com.simiacryptus.ref.lang.ReferenceCountingBase
Using Seed 1810818724508116992
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, 0.7, -0.128, 0.496 ]
Inputs Statistics: {meanExponent=-0.6122800817139336, negative=1, min=-0.128, max=0.7, mean=0.287, count=4, sum=1.148, positive=3, stdDev=0.3276141022605712, zeros=0}
Output: [ 0.055999999999999994, -0.01024, 0.03968, -0.0896, 0.34719999999999995, -0.063488 ]
Outputs Statistics: {meanExponent=-1.2245601634278669, negative=3, min=-0.0896, max=0.34719999999999995, mean=0.046591999999999995, count=6, sum=0.27955199999999997, positive=3, stdDev=0.1439891195889467, 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, 0.7, -0.128, 0.496 ]
Value Statistics: {meanExponent=-0.6122800817139336, negative=1, min=-0.128, max=0.7, mean=0.287, count=4, sum=1.148, positive=3, stdDev=0.3276141022605712, zeros=0}
Implemented Feedback: [ [ 0.7, -0.128, 0.496, 0.0, 0.0, 0.0 ], [ 0.08, 0.0, 0.0, -0.128, 0.496, 0.0 ], [ 0.0, 0.08, 0.0, 0.7, 0.0, 0.496 ], [ 0.0, 0.0, 0.08, 0.0, 0.7, -0.128 ] ]
Implemented Statistics: {meanExponent=-0.6122800817139334, negative=3, min=-0.128, max=0.7, mean=0.1435, count=24, sum=3.4439999999999995, positive=9, stdDev=0.2725027522796788, zeros=12}
Measured Feedback: [ [ 0.7000000000000756, -0.1280000000000031, 0.4960000000000381, 0.0, 0.0, 0.0 ], [ 0.08000000000001062, 0.0, 0.0, -0.12799999999993372, 0.496000000000385, 0.0 ], [ 0.0, 0.07999999999999327, 0.0, 0.7000000000000062, 0.0, 0.4959999999999687 ], [ 0.0, 0.0, 0.08000000000001062, 0.0, 0.700000000000145, -0.12799999999993372 ] ]
Measured Statistics: {meanExponent=-0.6122800817139232, negative=3, min=-0.1280000000000031, max=0.700000000000145, mean=0.1435000000000318, count=24, sum=3.444000000000763, positive=9, stdDev=0.2725027522797137, zeros=12}
Feedback Error: [ [ 7.560618797697316E-14, -3.1086244689504383E-15, 3.808064974464287E-14, 0.0, 0.0, 0.0 ], [ 1.061650767297806E-14, 0.0, 0.0, 6.628031457012185E-14, 3.850253449400043E-13, 0.0 ], [ 0.0, -6.7307270867900115E-15, 0.0, 6.217248937900877E-15, 0.0, -3.1308289294429414E-14 ], [ 0.0, 0.0, 1.061650767297806E-14, 0.0, 1.4499512701604544E-13, 6.628031457012185E-14 ] ]
Error Statistics: {meanExponent=-13.540772938977755, negative=3, min=-3.1308289294429414E-14, max=3.850253449400043E-13, mean=3.1773773427149856E-14, count=24, sum=7.625705622515966E-13, positive=9, stdDev=8.223193835331213E-14, zeros=12}
Returns
{
"absoluteTol" : {
"count" : 24,
"sum" : 8.448658439519363E-13,
"min" : 0.0,
"max" : 3.850253449400043E-13,
"sumOfSquare" : 1.8651994471542674E-25,
"standardDeviation" : 8.082345707377893E-14,
"average" : 3.5202743497997346E-14
},
"relativeTol" : {
"count" : 12,
"sum" : 1.3248235873676853E-12,
"min" : 4.4408920985006064E-15,
"max" : 3.881303880442085E-13,
"sumOfSquare" : 3.115661613805353E-25,
"standardDeviation" : 1.1736802277572126E-13,
"average" : 1.1040196561397377E-13
}
}
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" : 24,
"sum" : 8.448658439519363E-13,
"min" : 0.0,
"max" : 3.850253449400043E-13,
"sumOfSquare" : 1.8651994471542674E-25,
"standardDeviation" : 8.082345707377893E-14,
"average" : 3.5202743497997346E-14
},
"relativeTol" : {
"count" : 12,
"sum" : 1.3248235873676853E-12,
"min" : 4.4408920985006064E-15,
"max" : 3.881303880442085E-13,
"sumOfSquare" : 3.115661613805353E-25,
"standardDeviation" : 1.1736802277572126E-13,
"average" : 1.1040196561397377E-13
}
}
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: 3.5203e-14 +- 8.0823e-14 [0.0000e+00 - 3.8503e-13] (24#)
relativeTol: 1.1040e-13 +- 1.1737e-13 [4.4409e-15 - 3.8813e-13] (12#)
SingleDerivativeTester.java:156 executed in 0.01 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=3.5203e-14 +- 8.0823e-14 [0.0000e+00 - 3.8503e-13] (24#), relativeTol=1.1040e-13 +- 1.1737e-13 [4.4409e-15 - 3.8813e-13] (12#)} | OK |
{
"result": "OK",
"performance": {
"execution_time": "0.152",
"gc_time": "0.095"
},
"created_on": 1586737771872,
"file_name": "derivativeTest",
"report": {
"simpleName": "Basic",
"canonicalName": "com.simiacryptus.mindseye.layers.java.CrossProductLayerTest.Basic",
"link": "https://github.com/SimiaCryptus/mindseye-java/tree/93db34cedee48c0202777a2b25deddf1dfaf5731/src/test/java/com/simiacryptus/mindseye/layers/java/CrossProductLayerTest.java",
"javaDoc": ""
},
"archive": "s3://code.simiacrypt.us/tests/com/simiacryptus/mindseye/layers/java/CrossProductLayer/Basic/derivativeTest/202004132931",
"id": "04902573-fdeb-4793-80c5-4bcec7c80a7d",
"report_type": "Components",
"display_name": "Derivative Validation",
"target": {
"simpleName": "CrossProductLayer",
"canonicalName": "com.simiacryptus.mindseye.layers.java.CrossProductLayer",
"link": "https://github.com/SimiaCryptus/mindseye-java/tree/93db34cedee48c0202777a2b25deddf1dfaf5731/src/main/java/com/simiacryptus/mindseye/layers/java/CrossProductLayer.java",
"javaDoc": ""
}
}