1. Test Modules
  2. Network Diagram
  3. Batch Execution
  4. Results

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

Test Modules

Network Diagram

This is a network apply the following layout:

LayerTests.java:203 executed in 0.10 seconds (0.000 gc):

    return Graphviz.fromGraph((Graph) TestUtil.toGraph(((DAGNetwork) layer).addRef())).height(400).width(600)
        .render(Format.PNG).toImage();
Logging 
executing command [/bin/sh, -c, dot -Tsvg /tmp/GraphvizJava/DotEngine3331760407969518957/dotfile.dot -ooutfile.svg]

Returns

Result

Using Seed 2827719568931426304

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 4.76 seconds (0.079 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
Error: [
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[ [ 0.0, 0.0, 0.0, 0.0, -8.881784197001252E-16 ], [ 0.0, 0.0, 0.0, 0.0, 8.881784197001252E-16 ], [ 0.0, 0.0, 0.0, 0.0, 8.881784197001252E-16 ], [ 0.0, 0.0, 0.0, 0.0, 8.881784197001252E-16 ], [ 0.0, 0.0, 0.0, 0.0, 8.881784197001252E-16 ], [ 0.0, 0.0, 0.0, 0.0, 8.881784197001252E-16 ], [ 0.0, 0.0, 0.0, 0.0, 8.881784197001252E-16 ], [ 0.0, 0.0, 0.0, 0.0, 8.881784197001252E-16 ], ... ],
[ [ 0.0, 0.0, 0.0, 0.0, -8.881784197001252E-16 ], [ 0.0, 0.0, 0.0, 0.0, 8.881784197001252E-16 ], [ 0.0, 0.0, 0.0, 0.0, 8.881784197001252E-16 ], [ 0.0, 0.0, 0.0, 0.0, 8.881784197001252E-16 ], [ 0.0, 0.0, 0.0, 0.0, 8.881784197001252E-16 ], [ 0.0, 0.0, 0.0, 0.0, 8.881784197001252E-16 ], [ 0.0, 0.0, 0.0, 0.0, 8.881784197001252E-16 ], [ 0.0, 0.0, 0.0, 0.0, 8.881784197001252E-16 ], ... ],
...
]
Scalar Statistics: {meanExponent=-15.052003174966591, negative=1197, min=-8.881784197001252E-16, max=8.881784197001252E-16, mean=1.7601118093877074E-16, count=1800000, sum=3.1682012568978735E-10, positive=357605, stdDev=3.5506372070860586E-16, zeros=1441198}
Error: [
[ [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], ... ],
[ [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], ... ],
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[ [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], ... ],
[ [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], ... ],
[ [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], ... ],
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[ [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 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=1800000, sum=0.0, positive=0, stdDev=0.0, zeros=1800000}

Returns

    {
      "absoluteTol" : {
        "count" : 5760000,
        "sum" : 3.184139618639392E-10,
        "min" : 0.0,
        "max" : 8.881784197001252E-16,
        "sumOfSquare" : 2.826903268420192E-25,
        "standardDeviation" : 2.1452804255395748E-16,
        "average" : 5.528020171248945E-17
      },
      "relativeTol" : {
        "count" : 5759999,
        "sum" : 2.8550698196536785E-11,
        "min" : 0.0,
        "max" : 2.6184505297763123E-16,
        "sumOfSquare" : 2.272170397345149E-27,
        "standardDeviation" : 1.9232915265459243E-17,
        "average" : 4.956719297440292E-18
      }
    }

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

    throwException(exceptions.addRef());

Results

detailsresult
ToleranceStatistics{absoluteTol=5.5280e-17 +- 2.1453e-16 [0.0000e+00 - 8.8818e-16] (5760000#), relativeTol=4.9567e-18 +- 1.9233e-17 [0.0000e+00 - 2.6185e-16] (5759999#)}OK
 
  {
    "result": "OK",
    "performance": {
      "execution_time": "5.300",
      "gc_time": "0.306"
    },
    "created_on": 1586747211430,
    "file_name": "batchingTest",
    "report": {
      "simpleName": "IrregularGrid",
      "canonicalName": "com.simiacryptus.mindseye.layers.cudnn.conv.ConvolutionLayerTest.IrregularGrid",
      "link": "https://github.com/SimiaCryptus/mindseye-cudnn/tree/59d5b3318556370acb2d83ee6ec123ce0fc6974f/src/test/java/com/simiacryptus/mindseye/layers/cudnn/conv/ConvolutionLayerTest.java",
      "javaDoc": ""
    },
    "archive": "s3://code.simiacrypt.us/tests/com/simiacryptus/mindseye/layers/cudnn/conv/ConvolutionLayer/IrregularGrid/batchingTest/202004130651",
    "id": "1ed46553-008a-432d-8b40-9617b5e94966",
    "report_type": "Components",
    "display_name": "Data Batching Invariance",
    "target": {
      "simpleName": "ConvolutionLayer",
      "canonicalName": "com.simiacryptus.mindseye.layers.cudnn.conv.ConvolutionLayer",
      "link": "https://github.com/SimiaCryptus/mindseye-cudnn/tree/59d5b3318556370acb2d83ee6ec123ce0fc6974f/src/main/java/com/simiacryptus/mindseye/layers/cudnn/conv/ConvolutionLayer.java",
      "javaDoc": ""
    }
  }