1. Test Modules
  2. Batch Execution
  3. Results

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

Test Modules

Using Seed 4316409069855637504

Batch Execution

Most layers, including this one, should behave the same no matter how the items are split between batches. We verify this:

BatchingTester.java:201 executed in 0.31 seconds (0.000 gc):

    return test(reference == null ? null : reference.addRef(), RefUtil.addRef(inputPrototype));
Logging
Output
Derivatives
Error: [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... ]
Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=100, sum=0.0, positive=0, stdDev=0.0, zeros=100}
Error: [ 0.0 ]
Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=1, sum=0.0, positive=0, stdDev=0.0, zeros=1}
Error: [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... ]
Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=100, sum=0.0, positive=0, stdDev=0.0, zeros=100}
Error: [ 0.0 ]
Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=1, sum=0.0, positive=0, stdDev=0.0, zeros=1}
Error: [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... ]
Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=100, sum=0.0, positive=0, stdDev=0.0, zeros=100}
Error: [ 0.0 ]
Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=1, sum=0.0, positive=0, stdDev=0.0, zeros=1}
Error: [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... ]
Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=100, sum=0.0, positive=0, stdDev=0.0, zeros=100}
Error: [ 0.0 ]
Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=1, sum=0.0, positive=0, stdDev=0.0, zeros=1}
Error: [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... ]
Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=100, sum=0.0, positive=0, stdDev=0.0, zeros=100}
Error: [ 0.0 ]
Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=1, sum=0.0, positive=0, stdDev=0.0, zeros=1}

Returns

    {
      "absoluteTol" : {
        "count" : 1005,
        "sum" : 0.0,
        "min" : 0.0,
        "max" : 0.0,
        "sumOfSquare" : 0.0,
        "standardDeviation" : 0.0,
        "average" : 0.0
      },
      "relativeTol" : {
        "count" : 1005,
        "sum" : 0.0,
        "min" : 0.0,
        "max" : 0.0,
        "sumOfSquare" : 0.0,
        "standardDeviation" : 0.0,
        "average" : 0.0
      }
    }

LayerTests.java:425 executed in 0.00 seconds (0.000 gc):

    throwException(exceptions.addRef());

Results

detailsresult
ToleranceStatistics{absoluteTol=0.0000e+00 +- 0.0000e+00 [0.0000e+00 - 0.0000e+00] (1005#), relativeTol=0.0000e+00 +- 0.0000e+00 [0.0000e+00 - 0.0000e+00] (1005#)}OK
  {
    "result": "OK",
    "performance": {
      "execution_time": "0.470",
      "gc_time": "0.141"
    },
    "created_on": 1586736323440,
    "file_name": "batchingTest",
    "report": {
      "simpleName": "N1Test",
      "canonicalName": "com.simiacryptus.mindseye.layers.java.SumInputsLayerTest.N1Test",
      "link": "https://github.com/SimiaCryptus/mindseye-java/tree/93db34cedee48c0202777a2b25deddf1dfaf5731/src/test/java/com/simiacryptus/mindseye/layers/java/SumInputsLayerTest.java",
      "javaDoc": ""
    },
    "archive": "s3://code.simiacrypt.us/tests/com/simiacryptus/mindseye/layers/java/SumInputsLayer/N1Test/batchingTest/202004130523",
    "id": "6c0b779e-0a2e-4619-9c43-3f33ec61548b",
    "report_type": "Components",
    "display_name": "Data Batching Invariance",
    "target": {
      "simpleName": "SumInputsLayer",
      "canonicalName": "com.simiacryptus.mindseye.layers.java.SumInputsLayer",
      "link": "https://github.com/SimiaCryptus/mindseye-java/tree/93db34cedee48c0202777a2b25deddf1dfaf5731/src/main/java/com/simiacryptus/mindseye/layers/java/SumInputsLayer.java",
      "javaDoc": ""
    }
  }