1. Test Modules
  2. Performance
  3. Results

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

Test Modules

Using Seed 4153988550968739840

Performance

Now we execute larger-scale runs to benchmark performance:

PerformanceTester.java:120 executed in 0.01 seconds (0.000 gc):

    test(component == null ? null : component.addRef(), RefUtil.addRef(inputPrototype));
Logging
5 batch length, 5 trials
Input Dimensions:
[4]
[4]
Performance:
Evaluation performance: 0.001117s +- 0.001287s [0.000417s - 0.003689s]
Learning performance: 0.000538s +- 0.000239s [0.000374s - 0.001008s]

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

    throwException(exceptions.addRef());

Results

classresult
com.simiacryptus.mindseye.test.unit.PerformanceTesterOK
  {
    "result": "OK",
    "performance": {
      "execution_time": "0.155",
      "gc_time": "0.127"
    },
    "created_on": 1586735761937,
    "file_name": "perfTest",
    "report": {
      "simpleName": "Basic",
      "canonicalName": "com.simiacryptus.mindseye.layers.java.EntropyLossLayerTest.Basic",
      "link": "https://github.com/SimiaCryptus/mindseye-java/tree/93db34cedee48c0202777a2b25deddf1dfaf5731/src/test/java/com/simiacryptus/mindseye/layers/java/EntropyLossLayerTest.java",
      "javaDoc": ""
    },
    "archive": "s3://code.simiacrypt.us/tests/com/simiacryptus/mindseye/layers/java/EntropyLossLayer/Basic/perfTest/202004125601",
    "id": "73f6c478-9281-43ab-96c3-d548f30e5268",
    "report_type": "Components",
    "display_name": "Performance",
    "target": {
      "simpleName": "EntropyLossLayer",
      "canonicalName": "com.simiacryptus.mindseye.layers.java.EntropyLossLayer",
      "link": "https://github.com/SimiaCryptus/mindseye-java/tree/93db34cedee48c0202777a2b25deddf1dfaf5731/src/main/java/com/simiacryptus/mindseye/layers/java/EntropyLossLayer.java",
      "javaDoc": ""
    }
  }