Subreport: Logs for com.simiacryptus.ref.lang.ReferenceCountingBase
Using Seed 3115588278819676160
In this apply, we use a network to learn this target input, given it's pre-evaluated output:
TrainingTester.java:332 executed in 0.00 seconds (0.000 gc):
return RefArrays.stream(RefUtil.addRef(input_target)).flatMap(RefArrays::stream).map(x -> {
try {
return x.prettyPrint();
} finally {
x.freeRef();
}
}).reduce((a, b) -> a + "\n" + b).orElse("");
Returns
[ -0.768, -1.572, 0.392, -1.664, -1.116, 1.912, 1.208, -0.876, ... ]
[ 0.08, 1.208, -0.176, -0.804, -0.556, 1.912, 1.612, 0.972, ... ]
[ -1.54, -1.664, -0.032, 0.3, 1.916, -0.556, 1.612, 1.556, ... ]
[ 0.996, -0.384, -1.516, 1.048, 1.352, 1.512, -0.876, 1.556, ... ]
[ -0.608, -1.688, 0.496, 1.356, -0.628, 1.628, -1.492, 1.048, ... ]
TrainingTester.java:255 executed in 0.03 seconds (0.000 gc):
return grid(inputLearning, modelLearning, completeLearning);
Returns
TrainingTester.java:258 executed in 0.00 seconds (0.000 gc):
return new ComponentResult(null == inputLearning ? null : inputLearning.value,
null == modelLearning ? null : modelLearning.value, null == completeLearning ? null : completeLearning.value);
Returns
{"input":null, "model":null, "complete":null}
LayerTests.java:425 executed in 0.00 seconds (0.000 gc):
throwException(exceptions.addRef());
| details | result |
|---|---|
| {"input":null, "model":null, "complete":null} | OK |
{
"result": "OK",
"performance": {
"execution_time": "0.187",
"gc_time": "0.114"
},
"created_on": 1586736277473,
"file_name": "trainingTest",
"report": {
"simpleName": "Basic",
"canonicalName": "com.simiacryptus.mindseye.layers.java.AvgReducerLayerTest.Basic",
"link": "https://github.com/SimiaCryptus/mindseye-java/tree/93db34cedee48c0202777a2b25deddf1dfaf5731/src/test/java/com/simiacryptus/mindseye/layers/java/AvgReducerLayerTest.java",
"javaDoc": ""
},
"training_analysis": {},
"archive": "s3://code.simiacrypt.us/tests/com/simiacryptus/mindseye/layers/java/AvgMetaLayer/Basic/trainingTest/202004130437",
"id": "5e0f68ed-cda0-4a41-8b1d-6373bd8b10d3",
"report_type": "Components",
"display_name": "Comparative Training",
"target": {
"simpleName": "AvgMetaLayer",
"canonicalName": "com.simiacryptus.mindseye.layers.java.AvgMetaLayer",
"link": "https://github.com/SimiaCryptus/mindseye-java/tree/93db34cedee48c0202777a2b25deddf1dfaf5731/src/main/java/com/simiacryptus/mindseye/layers/java/AvgMetaLayer.java",
"javaDoc": ""
}
}