Target Description: The type Sum meta layer.
Report Description: The type Basic.
Subreport: Logs for com.simiacryptus.ref.lang.ReferenceCountingBase
Using Seed 5486392945449544704
In this apply, we use a network to learn this target input, given it's pre-evaluated output:
TrainingTester.java:445 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
[ 0.048, -0.068, -0.628, -1.484, 0.788, -0.504, 0.636, 0.148, ... ]
[ 0.028, 1.512, 0.972, 1.156, -1.256, 1.552, 0.048, 0.092, ... ]
[ 1.324, -0.504, -1.476, 0.016, -1.856, 1.288, -0.012, -1.492, ... ]
[ -0.464, -1.484, 0.048, 1.912, -0.892, 1.552, -0.804, 1.916, ... ]
[ -1.34, -2.0, -1.228, 0.3, 1.512, 0.048, -1.256, 0.184, ... ]
TrainingTester.java:350 executed in 0.03 seconds (0.000 gc):
return grid(inputLearning, modelLearning, completeLearning);
Returns
TrainingTester.java:353 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:605 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": "0.195",
"gc_time": "0.120"
},
"created_on": 1587006784576,
"file_name": "trainingTest",
"report": {
"simpleName": "Basic",
"canonicalName": "com.simiacryptus.mindseye.layers.java.SumMetaLayerTest.Basic",
"link": "https://github.com/SimiaCryptus/mindseye-java/tree/c9a1867488dc7e77a975f095285b5882c0486db6/src/test/java/com/simiacryptus/mindseye/layers/java/SumMetaLayerTest.java",
"javaDoc": "The type Basic."
},
"training_analysis": {},
"archive": "s3://code.simiacrypt.us/tests/com/simiacryptus/mindseye/layers/java/SumMetaLayer/Basic/trainingTest/202004161304",
"id": "a11d733e-74e9-469b-9ee0-f07d4dfb7e26",
"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/c9a1867488dc7e77a975f095285b5882c0486db6/src/main/java/com/simiacryptus/mindseye/layers/java/SumMetaLayer.java",
"javaDoc": "The type Sum meta layer."
}
}