Subreport: Logs for com.simiacryptus.ref.lang.ReferenceCountingBase
Using Seed 6649485648273787904
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 5.35 seconds (1.287 gc):
return test(reference == null ? null : reference.addRef(), RefUtil.addRef(inputPrototype));
Output
Derivatives
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...
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Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=120000, sum=0.0, positive=0, stdDev=0.0, zeros=120000}
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Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=120000, sum=0.0, positive=0, stdDev=0.0, zeros=120000}
Error: [
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Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=120000, sum=0.0, positive=0, stdDev=0.0, zeros=120000}
Error: [
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Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=120000, sum=0.0, positive=0, stdDev=0.0, zeros=120000}
Returns
{
"absoluteTol" : {
"count" : 750000,
"sum" : 0.0,
"min" : 0.0,
"max" : 0.0,
"sumOfSquare" : 0.0,
"standardDeviation" : 0.0,
"average" : 0.0
},
"relativeTol" : {
"count" : 749949,
"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());
details | result |
---|---|
ToleranceStatistics{absoluteTol=0.0000e+00 +- 0.0000e+00 [0.0000e+00 - 0.0000e+00] (750000#), relativeTol=0.0000e+00 +- 0.0000e+00 [0.0000e+00 - 0.0000e+00] (749949#)} | OK |
{
"result": "OK",
"performance": {
"execution_time": "5.830",
"gc_time": "1.732"
},
"created_on": 1586736578737,
"file_name": "batchingTest",
"report": {
"simpleName": "Basic",
"canonicalName": "com.simiacryptus.mindseye.layers.java.AvgPoolingLayerTest.Basic",
"link": "https://github.com/SimiaCryptus/mindseye-java/tree/93db34cedee48c0202777a2b25deddf1dfaf5731/src/test/java/com/simiacryptus/mindseye/layers/java/AvgPoolingLayerTest.java",
"javaDoc": ""
},
"archive": "s3://code.simiacrypt.us/tests/com/simiacryptus/mindseye/layers/java/AvgPoolingLayer/Basic/batchingTest/202004130938",
"id": "d1ec61c2-4061-49c2-9503-e37a6390627f",
"report_type": "Components",
"display_name": "Data Batching Invariance",
"target": {
"simpleName": "AvgPoolingLayer",
"canonicalName": "com.simiacryptus.mindseye.layers.java.AvgPoolingLayer",
"link": "https://github.com/SimiaCryptus/mindseye-java/tree/93db34cedee48c0202777a2b25deddf1dfaf5731/src/main/java/com/simiacryptus/mindseye/layers/java/AvgPoolingLayer.java",
"javaDoc": ""
}
}