1. Test Modules
  2. Batch Execution
  3. Results

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

Test Modules

Using Seed 2222094005704092672

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 10.59 seconds (0.660 gc):

    return test(reference == null ? null : reference.addRef(), RefUtil.addRef(inputPrototype));
Logging 
BACKPROP_AGG_SIZE = 3
THREADS = 64
SINGLE_THREADED = false
Initialized CoreSettings = {
"backpropAggregationSize" : 3,
"jvmThreads" : 64,
"singleThreaded" : false
}
Output
Derivatives
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Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=1440000, sum=0.0, positive=0, stdDev=0.0, zeros=1440000}
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Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=1440000, sum=0.0, positive=0, stdDev=0.0, zeros=1440000}
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Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=1440000, sum=0.0, positive=0, stdDev=0.0, zeros=1440000}
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Scalar Statis

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...
]
Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=1440000, sum=0.0, positive=0, stdDev=0.0, zeros=1440000}
Error: [
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Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=1440000, sum=0.0, positive=0, stdDev=0.0, zeros=1440000}

Returns

    {
      "absoluteTol" : {
        "count" : 43200000,
        "sum" : 0.0,
        "min" : 0.0,
        "max" : 0.0,
        "sumOfSquare" : 0.0,
        "standardDeviation" : 0.0,
        "average" : 0.0
      },
      "relativeTol" : {
        "count" : 43197892,
        "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] (43200000#), relativeTol=0.0000e+00 +- 0.0000e+00 [0.0000e+00 - 0.0000e+00] (43197892#)}OK
 
  {
    "result": "OK",
    "performance": {
      "execution_time": "11.137",
      "gc_time": "0.909"
    },
    "created_on": 1586741342472,
    "file_name": "batchingTest",
    "report": {
      "simpleName": "Double_List",
      "canonicalName": "com.simiacryptus.mindseye.layers.cudnn.SumInputsLayerTest.Double_List",
      "link": "https://github.com/SimiaCryptus/mindseye-cudnn/tree/59d5b3318556370acb2d83ee6ec123ce0fc6974f/src/test/java/com/simiacryptus/mindseye/layers/cudnn/SumInputsLayerTest.java",
      "javaDoc": ""
    },
    "archive": "s3://code.simiacrypt.us/tests/com/simiacryptus/mindseye/layers/cudnn/SumInputsLayer/Double_List/batchingTest/202004132902",
    "id": "4ffc3353-1dd7-45e0-8d82-1ff4214e059d",
    "report_type": "Components",
    "display_name": "Data Batching Invariance",
    "target": {
      "simpleName": "SumInputsLayer",
      "canonicalName": "com.simiacryptus.mindseye.layers.cudnn.SumInputsLayer",
      "link": "https://github.com/SimiaCryptus/mindseye-cudnn/tree/59d5b3318556370acb2d83ee6ec123ce0fc6974f/src/main/java/com/simiacryptus/mindseye/layers/cudnn/SumInputsLayer.java",
      "javaDoc": ""
    }
  }