Subreport: Logs for com.simiacryptus.ref.lang.ReferenceCountingBase
Using Seed 8058944423627285504
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
[ 0.7, 1.352, -0.628, -0.608, -0.176, -1.572, 0.344, -1.456, ... ]
[ 1.048, 0.028, -1.116, 1.612, -1.72, -0.472, -1.484, -0.804, ... ]
[ 1.368, -0.472, 1.556, 1.628, -0.408, 1.356, 1.524, -0.852, ... ]
[ 1.916, -0.608, 0.028, 1.324, 1.048, 0.048, -1.492, 1.98, ... ]
[ 1.556, 1.524, -1.54, 0.344, 1.156, 0.7, 0.08, 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": "0.197",
"gc_time": "0.125"
},
"created_on": 1586735392183,
"file_name": "trainingTest",
"report": {
"simpleName": "Basic",
"canonicalName": "com.simiacryptus.mindseye.layers.java.SumMetaLayerTest.Basic",
"link": "https://github.com/SimiaCryptus/mindseye-java/tree/93db34cedee48c0202777a2b25deddf1dfaf5731/src/test/java/com/simiacryptus/mindseye/layers/java/SumMetaLayerTest.java",
"javaDoc": ""
},
"training_analysis": {},
"archive": "s3://code.simiacrypt.us/tests/com/simiacryptus/mindseye/layers/java/SumMetaLayer/Basic/trainingTest/202004124952",
"id": "b84699ea-3aff-41e4-acf8-0cf102af6fa7",
"report_type": "Components",
"display_name": "Comparative Training",
"target": {
"simpleName": "SumMetaLayer",
"canonicalName": "com.simiacryptus.mindseye.layers.java.SumMetaLayer",
"link": "https://github.com/SimiaCryptus/mindseye-java/tree/93db34cedee48c0202777a2b25deddf1dfaf5731/src/main/java/com/simiacryptus/mindseye/layers/java/SumMetaLayer.java",
"javaDoc": ""
}
}