1. Test Modules
2. Performance
3. Results

Target Description: The type Dropout noise layer.

Report Description: The type Basic.

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

Test Modules

Using Seed 7849051464683139072

Performance

Now we execute larger-scale runs to benchmark performance:

PerformanceTester.java:175 executed in 0.01 seconds (0.000 gc):

    test(component == null ? null : component.addRef(), RefUtil.addRef(inputPrototype));

5 batch length, 5 trials
Input Dimensions:
[3]
Performance:
Evaluation performance: 0.001316s +- 0.001134s [0.000681s - 0.003582s]
Learning performance: 0.000586s +- 0.000199s [0.000434s - 0.000980s]

LayerTests.java:605 executed in 0.00 seconds (0.000 gc):

    throwException(exceptions.addRef());

Results

  {
    "result": "OK",
    "performance": {
      "execution_time": "0.137",
      "gc_time": "0.107"
    },
    "created_on": 1587006319069,
    "file_name": "perfTest",
    "report": {
      "simpleName": "Basic",
      "canonicalName": "com.simiacryptus.mindseye.layers.java.DropoutNoiseLayerTest.Basic",
      "link": "https://github.com/SimiaCryptus/mindseye-java/tree/c9a1867488dc7e77a975f095285b5882c0486db6/src/test/java/com/simiacryptus/mindseye/layers/java/DropoutNoiseLayerTest.java",
      "javaDoc": "The type Basic."
    },
    "archive": "s3://code.simiacrypt.us/tests/com/simiacryptus/mindseye/layers/java/DropoutNoiseLayer/Basic/perfTest/202004160519",
    "id": "21dc2611-5282-42b7-b8a0-4a3ef0e9aa5b",
    "report_type": "Components",
    "display_name": "Performance",
    "target": {
      "simpleName": "DropoutNoiseLayer",
      "canonicalName": "com.simiacryptus.mindseye.layers.java.DropoutNoiseLayer",
      "link": "https://github.com/SimiaCryptus/mindseye-java/tree/c9a1867488dc7e77a975f095285b5882c0486db6/src/main/java/com/simiacryptus/mindseye/layers/java/DropoutNoiseLayer.java",
      "javaDoc": "The type Dropout noise layer."
    }
  }