Subreport: Logs for com.simiacryptus.ref.lang.ReferenceCountingBase
Using Seed 3331518041078382592
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 0.09 seconds (0.000 gc):
return test(reference == null ? null : reference.addRef(), RefUtil.addRef(inputPrototype));
Output
Derivatives
Error: [ 0.0, 0.0, 0.0 ]
Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=3, sum=0.0, positive=0, stdDev=0.0, zeros=3}
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 ]
Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=3, sum=0.0, positive=0, stdDev=0.0, zeros=3}
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 ]
Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=3, sum=0.0, positive=0, stdDev=0.0, zeros=3}
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 ]
Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=3, sum=0.0, positive=0, stdDev=0.0, zeros=3}
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 ]
Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=3, sum=0.0, positive=0, stdDev=0.0, zeros=3}
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" : 35,
"sum" : 0.0,
"min" : 0.0,
"max" : 0.0,
"sumOfSquare" : 0.0,
"standardDeviation" : 0.0,
"average" : 0.0
},
"relativeTol" : {
"count" : 35,
"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] (35#), relativeTol=0.0000e+00 +- 0.0000e+00 [0.0000e+00 - 0.0000e+00] (35#)} | OK |
{
"result": "OK",
"performance": {
"execution_time": "0.257",
"gc_time": "0.144"
},
"created_on": 1586738587940,
"file_name": "batchingTest",
"report": {
"simpleName": "N1Test",
"canonicalName": "com.simiacryptus.mindseye.layers.java.ProductInputsLayerTest.N1Test",
"link": "https://github.com/SimiaCryptus/mindseye-java/tree/93db34cedee48c0202777a2b25deddf1dfaf5731/src/test/java/com/simiacryptus/mindseye/layers/java/ProductInputsLayerTest.java",
"javaDoc": ""
},
"archive": "s3://code.simiacrypt.us/tests/com/simiacryptus/mindseye/layers/java/ProductInputsLayer/N1Test/batchingTest/202004134307",
"id": "518f68a3-79ae-4654-a11c-46effd8e4361",
"report_type": "Components",
"display_name": "Data Batching Invariance",
"target": {
"simpleName": "ProductInputsLayer",
"canonicalName": "com.simiacryptus.mindseye.layers.java.ProductInputsLayer",
"link": "https://github.com/SimiaCryptus/mindseye-java/tree/93db34cedee48c0202777a2b25deddf1dfaf5731/src/main/java/com/simiacryptus/mindseye/layers/java/ProductInputsLayer.java",
"javaDoc": ""
}
}