1. Test Modules
2. Differential Validation
   1. Feedback Validation
   2. Learning Validation
   3. Total Accuracy
   4. Frozen and Alive Status
3. Results

Subreport: Logs for com.simiacryptus.ref.lang.ReferenceCountingBase

Test Modules

Using Seed 5734202575324674048

Differential Validation

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, -0.608, 1.208 ], [ -0.128, 0.048, -1.028 ] ],
[ [ 0.7, 1.764, -1.72 ], [ 0.496, 1.524, -0.384 ] ]
]
Inputs Statistics: {meanExponent=-0.3033810201823816, negative=5, min=-1.72, max=1.764, mean=0.16266666666666665, count=12, sum=1.952, positive=7, stdDev=0.9945442283891763, zeros=0}
Output: [
[ [ 0.7, 1.764, 1.208 ] ]
]
Outputs Statistics: {meanExponent=0.057887851698390246, negative=0, min=0.7, max=1.764, mean=1.224, count=3, sum=3.6719999999999997, positive=3, stdDev=0.43452349380288596, zeros=0}

Feedback Validation

We validate the agreement between the implemented derivative of the inputs apply finite difference estimations:

SingleDerivativeTester.java:117 executed in 0.03 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, -0.608, 1.208 ], [ -0.128, 0.048, -1.028 ] ],
[ [ 0.7, 1.764, -1.72 ], [ 0.496, 1.524, -0.384 ] ]
]
Value Statistics: {meanExponent=-0.3033810201823816, negative=5, min=-1.72, max=1.764, mean=0.16266666666666665, count=12, sum=1.952, positive=7, stdDev=0.9945442283891763, zeros=0}
Implemented Feedback: [ [ 0.0, 0.0, 0.0 ], [ 1.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 1.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], ... ]
Implemented Statistics: {meanExponent=0.0, negative=0, min=0.0, max=1.0, mean=0.08333333333333333, count=36, sum=3.0, positive=3, stdDev=0.2763853991962833, zeros=33}
Measured Feedback: [ [ 0.0, 0.0, 0.0 ], [ 0.9999999999998899, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.9999999999998899, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], ... ]
Measured Statistics: {meanExponent=-4.7830642341045674E-14, negative=0, min=0.0, max=0.9999999999998899, mean=0.08333333333332416, count=36, sum=2.9999999999996696, positive=3, stdDev=0.2763853991962529, zeros=33}
Feedback Error: [ [ 0.0, 0.0, 0.0 ], [ -1.1013412404281553E-13, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, -1.1013412404281553E-13, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], ... ]
Error Statistics: {meanExponent=-12.958078098036827, negative=3, min=-1.1013412404281553E-13, max=0.0, mean=-9.177843670234628E-15, count=36, sum=-3.304023721284466E-13, positive=0, stdDev=3.0439463838706555E-14, zeros=33}

Returns

    {
      "absoluteTol" : {
        "count" : 36,
        "sum" : 3.304023721284466E-13,
        "min" : 0.0,
        "max" : 1.1013412404281553E-13,
        "sumOfSquare" : 3.638857583603483E-26,
        "standardDeviation" : 3.0439463838706555E-14,
        "average" : 9.177843670234628E-15
      },
      "relativeTol" : {
        "count" : 3,
        "sum" : 1.652011860642324E-13,
        "min" : 5.50670620214108E-14,
        "max" : 5.50670620214108E-14,
        "sumOfSquare" : 9.097143959009711E-27,
        "standardDeviation" : 0.0,
        "average" : 5.50670620214108E-14
      }
    }

Learning Validation

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" : 3.304023721284466E-13,
        "min" : 0.0,
        "max" : 1.1013412404281553E-13,
        "sumOfSquare" : 3.638857583603483E-26,
        "standardDeviation" : 3.0439463838706555E-14,
        "average" : 9.177843670234628E-15
      },
      "relativeTol" : {
        "count" : 3,
        "sum" : 1.652011860642324E-13,
        "min" : 5.50670620214108E-14,
        "max" : 5.50670620214108E-14,
        "sumOfSquare" : 9.097143959009711E-27,
        "standardDeviation" : 0.0,
        "average" : 5.50670620214108E-14
      }
    }

Total Accuracy

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: 9.1778e-15 +- 3.0439e-14 [0.0000e+00 - 1.1013e-13] (36#)
relativeTol: 5.5067e-14 +- 0.0000e+00 [5.5067e-14 - 5.5067e-14] (3#)

Frozen and Alive Status

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());

Results

  {
    "result": "OK",
    "performance": {
      "execution_time": "0.193",
      "gc_time": "0.129"
    },
    "created_on": 1586735700737,
    "file_name": "derivativeTest",
    "report": {
      "simpleName": "Basic",
      "canonicalName": "com.simiacryptus.mindseye.layers.java.MaxImageBandLayerTest.Basic",
      "link": "https://github.com/SimiaCryptus/mindseye-java/tree/93db34cedee48c0202777a2b25deddf1dfaf5731/src/test/java/com/simiacryptus/mindseye/layers/java/MaxImageBandLayerTest.java",
      "javaDoc": ""
    },
    "archive": "s3://code.simiacrypt.us/tests/com/simiacryptus/mindseye/layers/java/MaxImageBandLayer/Basic/derivativeTest/202004125500",
    "id": "3d3f7e9b-345f-487f-a6d0-d556dd0ce20a",
    "report_type": "Components",
    "display_name": "Derivative Validation",
    "target": {
      "simpleName": "MaxImageBandLayer",
      "canonicalName": "com.simiacryptus.mindseye.layers.java.MaxImageBandLayer",
      "link": "https://github.com/SimiaCryptus/mindseye-java/tree/93db34cedee48c0202777a2b25deddf1dfaf5731/src/main/java/com/simiacryptus/mindseye/layers/java/MaxImageBandLayer.java",
      "javaDoc": ""
    }
  }