1. Test Modules
  2. Batch Execution
  3. Results

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

Test Modules

Using Seed 6821336517758843904

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 9.13 seconds (0.710 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=4320000, sum=0.0, positive=0, stdDev=0.0, zeros=4320000}
Error: [
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]
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: [
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...
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Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=4320000, sum=0.0, positive=0, stdDev=0.0, zeros=4320000}
Error: [
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]
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: [
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Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=4320000, sum=0.0, positive=0, stdDev=0.0, zeros=4320000}
Error: [
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]
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: [
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Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=4320000, sum=0.0, positive=0, stdDev=0.0, zeros=4320000}
Error: [
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]
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: [
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Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=4320000, sum=0.0, positive=0, stdDev=0.0, zeros=4320000}
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}

Returns

    {
      "absoluteTol" : {
        "count" : 43200015,
        "sum" : 0.0,
        "min" : 0.0,
        "max" : 0.0,
        "sumOfSquare" : 0.0,
        "standardDeviation" : 0.0,
        "average" : 0.0
      },
      "relativeTol" : {
        "count" : 43178402,
        "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] (43200015#), relativeTol=0.0000e+00 +- 0.0000e+00 [0.0000e+00 - 0.0000e+00] (43178402#)}OK
  {
    "result": "OK",
    "performance": {
      "execution_time": "9.561",
      "gc_time": "0.937"
    },
    "created_on": 1586739978764,
    "file_name": "batchingTest",
    "report": {
      "simpleName": "Float",
      "canonicalName": "com.simiacryptus.mindseye.layers.cudnn.GateBiasLayerTest.Float",
      "link": "https://github.com/SimiaCryptus/mindseye-cudnn/tree/59d5b3318556370acb2d83ee6ec123ce0fc6974f/src/test/java/com/simiacryptus/mindseye/layers/cudnn/GateBiasLayerTest.java",
      "javaDoc": ""
    },
    "archive": "s3://code.simiacrypt.us/tests/com/simiacryptus/mindseye/layers/cudnn/GateBiasLayer/Float/batchingTest/202004130618",
    "id": "b516d635-422b-449e-a1d9-8de13a244394",
    "report_type": "Components",
    "display_name": "Data Batching Invariance",
    "target": {
      "simpleName": "GateBiasLayer",
      "canonicalName": "com.simiacryptus.mindseye.layers.cudnn.GateBiasLayer",
      "link": "https://github.com/SimiaCryptus/mindseye-cudnn/tree/59d5b3318556370acb2d83ee6ec123ce0fc6974f/src/main/java/com/simiacryptus/mindseye/layers/cudnn/GateBiasLayer.java",
      "javaDoc": ""
    }
  }