Subreport: Logs for com.simiacryptus.ref.lang.ReferenceCountingBase
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
[ 1.288, 1.704, 0.52, -1.516, 1.352, 1.628, 1.876, -0.768, ... ]
[ 1.876, 1.032, 1.524, 0.7, -0.176, 0.972, 1.652, 1.208, ... ]
[ 0.82, -0.032, 0.08, 0.996, 1.916, 1.552, -1.832, -1.028, ... ]
[ 0.028, 1.612, 1.704, -1.028, -1.572, -0.556, 1.512, -1.552, ... ]
[ -0.556, -0.384, -1.248, -0.608, 1.912, -1.72, 0.344, 1.876, ... ]
TrainingTester.java:255 executed in 0.04 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": "0.211",
"gc_time": "0.128"
},
"created_on": 1586737797900,
"file_name": "trainingTest",
"report": {
"simpleName": "Basic",
"canonicalName": "com.simiacryptus.mindseye.layers.java.AvgMetaLayerTest.Basic",
"link": "https://github.com/SimiaCryptus/mindseye-java/tree/93db34cedee48c0202777a2b25deddf1dfaf5731/src/test/java/com/simiacryptus/mindseye/layers/java/AvgMetaLayerTest.java",
"javaDoc": ""
},
"training_analysis": {},
"archive": "s3://code.simiacrypt.us/tests/com/simiacryptus/mindseye/layers/java/AvgMetaLayer/Basic/trainingTest/202004132957",
"id": "9d2ea5d7-22af-41f7-a2f7-d0c02cf2e56a",
"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": ""
}
}