Subreport: Logs for com.simiacryptus.ref.lang.ReferenceCountingBase
Using Seed 1078737535948341248
Most layers, including this one, should behave the same no matter how the items are split between batches. We verify this:
BatchingTester.java:201 executed in 1.46 seconds (0.022 gc):
return test(reference == null ? null : reference.addRef(), RefUtil.addRef(inputPrototype));
BACKPROP_AGG_SIZE = 3
THREADS = 64
SINGLE_THREADED = false
Initialized CoreSettings = {
"backpropAggregationSize" : 3,
"jvmThreads" : 64,
"singleThreaded" : false
}
Output
Derivatives
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...
]
Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=30000, sum=0.0, positive=0, stdDev=0.0, zeros=30000}
Error: [
[ [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], ... ],
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...
]
Scalar Statistics: {meanExponent=NaN, negative=0, min=0.0, max=0.0, mean=0.0, count=30000, sum=0.0, positive=0, stdDev=0.0, zeros=30000}
Returns
{
"absoluteTol" : {
"count" : 400000,
"sum" : 0.0,
"min" : 0.0,
"max" : 0.0,
"sumOfSquare" : 0.0,
"standardDeviation" : 0.0,
"average" : 0.0
},
"relativeTol" : {
"count" : 237415,
"sum" : 0.0,
"min" : 0.0,
"max" : 0.0,
"sumOfSquare" : 0.0,
"standardDeviation" : 0.0,
"average" : 0.0
}
}
LayerTests.java:425 executed in 0.00 seconds (0.000 gc):
throwException(exceptions.addRef());
details | result |
---|---|
ToleranceStatistics{absoluteTol=0.0000e+00 +- 0.0000e+00 [0.0000e+00 - 0.0000e+00] (400000#), relativeTol=0.0000e+00 +- 0.0000e+00 [0.0000e+00 - 0.0000e+00] (237415#)} | OK |
{
"result": "OK",
"performance": {
"execution_time": "1.703",
"gc_time": "0.218"
},
"created_on": 1586745670534,
"file_name": "batchingTest",
"report": {
"simpleName": "Basic",
"canonicalName": "com.simiacryptus.mindseye.layers.cudnn.ImgLinearSubnetLayerTest.Basic",
"link": "https://github.com/SimiaCryptus/mindseye-cudnn/tree/59d5b3318556370acb2d83ee6ec123ce0fc6974f/src/test/java/com/simiacryptus/mindseye/layers/cudnn/ImgLinearSubnetLayerTest.java",
"javaDoc": ""
},
"archive": "s3://code.simiacrypt.us/tests/com/simiacryptus/mindseye/layers/cudnn/ImgLinearSubnetLayer/Basic/batchingTest/202004134110",
"id": "ea31ad5d-95d1-49cc-af44-8b77bd320b2a",
"report_type": "Components",
"display_name": "Data Batching Invariance",
"target": {
"simpleName": "ImgLinearSubnetLayer",
"canonicalName": "com.simiacryptus.mindseye.layers.cudnn.ImgLinearSubnetLayer",
"link": "https://github.com/SimiaCryptus/mindseye-cudnn/tree/59d5b3318556370acb2d83ee6ec123ce0fc6974f/src/main/java/com/simiacryptus/mindseye/layers/cudnn/ImgLinearSubnetLayer.java",
"javaDoc": ""
}
}