1. Test Modules
  2. Performance
  3. Results

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

Test Modules

Using Seed 2214690619428815872

Performance

Now we execute larger-scale runs to benchmark performance:

PerformanceTester.java:120 executed in 1.33 seconds (0.193 gc):

    test(component == null ? null : component.addRef(), RefUtil.addRef(inputPrototype));
Logging
5 batch length, 5 trials
Input Dimensions:
[1200, 1200, 1]
[1200, 1200, 1]
Performance:
Evaluation performance: 0.041927s +- 0.009252s [0.032370s - 0.058053s]
Learning performance: 0.223457s +- 0.069533s [0.140505s - 0.307500s]

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": "1.691",
      "gc_time": "0.422"
    },
    "created_on": 1586741881665,
    "file_name": "perfTest",
    "report": {
      "simpleName": "Float_Add",
      "canonicalName": "com.simiacryptus.mindseye.layers.cudnn.SumInputsLayerTest.Float_Add",
      "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/Float_Add/perfTest/202004133801",
    "id": "fae9b01b-412b-43ed-9488-45e0f5ab9f64",
    "report_type": "Components",
    "display_name": "Performance",
    "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": ""
    }
  }