1. Test Modules
2. Performance
3. Results

Target Description: The type Entropy loss layer.

Report Description: The type Basic.

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

Test Modules

Using Seed 1912936350501812224

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:
[4]
[4]
Performance:
Evaluation performance: 0.001114s +- 0.001417s [0.000295s - 0.003946s]
Learning performance: 0.000488s +- 0.000289s [0.000248s - 0.001052s]

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

    throwException(exceptions.addRef());

Results

  {
    "result": "OK",
    "performance": {
      "execution_time": "0.169",
      "gc_time": "0.137"
    },
    "created_on": 1587005268558,
    "file_name": "perfTest",
    "report": {
      "simpleName": "Basic",
      "canonicalName": "com.simiacryptus.mindseye.layers.java.EntropyLossLayerTest.Basic",
      "link": "https://github.com/SimiaCryptus/mindseye-java/tree/c9a1867488dc7e77a975f095285b5882c0486db6/src/test/java/com/simiacryptus/mindseye/layers/java/EntropyLossLayerTest.java",
      "javaDoc": "The type Basic."
    },
    "archive": "s3://code.simiacrypt.us/tests/com/simiacryptus/mindseye/layers/java/EntropyLossLayer/Basic/perfTest/202004164748",
    "id": "4fe144bb-90db-4a27-b49e-eb054694bf68",
    "report_type": "Components",
    "display_name": "Performance",
    "target": {
      "simpleName": "EntropyLossLayer",
      "canonicalName": "com.simiacryptus.mindseye.layers.java.EntropyLossLayer",
      "link": "https://github.com/SimiaCryptus/mindseye-java/tree/c9a1867488dc7e77a975f095285b5882c0486db6/src/main/java/com/simiacryptus/mindseye/layers/java/EntropyLossLayer.java",
      "javaDoc": "The type Entropy loss layer."
    }
  }