Subreport: Logs for com.simiacryptus.ref.lang.ReferenceCountingBase
Using Seed 1988216983814560768
SingleDerivativeTester.java:101 executed in 0.01 seconds (0.000 gc):
log.info(RefString.format("Inputs: %s", prettyPrint(inputPrototype)));
log.info(RefString.format("Inputs Statistics: %s", printStats(inputPrototype)));
log.info(RefString.format("Output: %s", outputPrototype.prettyPrint()));
assert outputPrototype != null;
log.info(RefString.format("Outputs Statistics: %s", outputPrototype.getScalarStatistics()));
},
outputPrototype.addRef(),
RefUtil.addRef(inputPrototype)));
Inputs: [
[ [ 0.08 ], [ 1.208 ], [ 1.108 ], [ 1.032 ], [ 1.612 ], [ 1.552 ], [ -0.804 ], [ -1.832 ] ],
[ [ 0.7 ], [ -1.72 ], [ 0.028 ], [ 0.3 ], [ 1.64 ], [ 1.876 ], [ 0.148 ], [ 1.368 ] ],
[ [ -0.128 ], [ -1.028 ], [ -0.712 ], [ 0.636 ], [ 0.392 ], [ -0.408 ], [ -0.032 ], [ -1.54 ] ],
[ [ 0.496 ], [ -0.384 ], [ 1.048 ], [ -0.176 ], [ 0.092 ], [ -0.384 ], [ -0.892 ], [ -0.876 ] ],
[ [ -0.608 ], [ -0.852 ], [ -1.616 ], [ 1.556 ], [ -0.556 ], [ -1.572 ], [ 1.62 ], [ 1.652 ] ],
[ [ 1.764 ], [ 1.912 ], [ 1.356 ], [ 0.788 ], [ -1.476 ], [ -1.516 ], [ -1.856 ], [ -1.424 ] ],
[ [ 0.048 ], [ -1.688 ], [ 1.512 ], [ -0.768 ], [ 1.704 ], [ -0.636 ], [ 0.996 ], [ -0.464 ] ],
[ [ 1.524 ], [ -0.804 ], [ 1.556 ], [ -0.068 ], [ -1.228 ], [ -1.492 ], [ 0.048 ], [ -0.012 ] ]
],
[
[ [ -0.472 ], [ -0.316 ], [ -1.552 ], [ -1.484 ], [ -1.248 ], [ 0.56 ], [ -0.312 ], [ 0.812 ] ],
[ [ -0.504 ], [ 1.156 ], [ 0.016 ], [ 1.352 ], [ 1.324 ], [ -1.656 ], [ -0.968 ], [ -1.808 ] ],
[ [ -1.156 ], [ 0.972 ], [ 1.288 ], [ -0.888 ], [ 0.344 ], [ -0.856 ], [ -0.892 ], [ 0.644 ] ],
[ [ 0.184 ], [ -1.116 ], [ 1.628 ], [ -1.256 ], [ -1.34 ], [ -1.16 ], [ -0.808 ], [ 0.66 ] ],
[ [ 1.98 ], [ 0.52 ], [ -1.564 ], [ 1.916 ], [ 1.776 ], [ 0.688 ], [ -1.1 ], [ -1.76 ] ],
[ [ -0.628 ], [ -1.456 ], [ -1.764 ], [ -1.724 ], [ 0.52 ], [ -0.124 ], [ -0.968 ], [ 0.82 ] ],
[ [ -0.368 ], [ -2.0 ], [ 0.692 ], [ -1.664 ], [ 1.444 ], [ -1.176 ], [ -0.784 ], [ 1.24 ] ],
[ [ -1.16 ], [ 1.42 ], [ 1.628 ], [ 0.82 ], [ 1.956 ], [ -1.256 ], [ 0.012 ], [ -1.58 ] ]
]
Inputs Statistics: {meanExponent=-0.1923523558471011, negative=32, min=-1.856, max=1.912, mean=0.059375000000000025, count=64, sum=3.8000000000000016, positive=32, stdDev=1.1518728703181615, zeros=0},
{meanExponent=-0.06999649029273047, negative=36, min=-2.0, max=1.98, mean=-0.19524999999999998, count=64, sum=-12.495999999999999, positive=28, stdDev=1.186466998066107, zeros=0}
Output: [
[ [ 0.08, -0.472 ], [ 1.208, -0.316 ], [ 1.108, -1.552 ], [ 1.032, -1.484 ], [ 1.612, -1.248 ], [ 1.552, 0.56 ], [ -0.804, -0.312 ], [ -1.832, 0.812 ] ],
[ [ 0.7, -0.504 ], [ -1.72, 1.156 ], [ 0.028, 0.016 ], [ 0.3, 1.352 ], [ 1.64, 1.324 ], [ 1.876, -1.656 ], [ 0.148, -0.968 ], [ 1.368, -1.808 ] ],
[ [ -0.128, -1.156 ], [ -1.028, 0.972 ], [ -0.712, 1.288 ], [ 0.636, -0.888 ], [ 0.392, 0.344 ], [ -0.408, -0.856 ], [ -0.032, -0.892 ], [ -1.54, 0.644 ] ],
[ [ 0.496, 0.184 ], [ -0.384, -1.116 ], [ 1.048, 1.628 ], [ -0.176, -1.256 ], [ 0.092, -1.34 ], [ -0.384, -1.16 ], [ -0.892, -0.808 ], [ -0.876, 0.66 ] ],
[ [ -0.608, 1.98 ], [ -0.852, 0.52 ], [ -1.616, -1.564 ], [ 1.556, 1.916 ], [ -0.556, 1.776 ], [ -1.572, 0.688 ], [ 1.62, -1.1 ], [ 1.652, -1.76 ] ],
[ [ 1.764, -0.628 ], [ 1.912, -1.456 ], [ 1.356, -1.764 ], [ 0.788, -1.724 ], [ -1.476, 0.52 ], [ -1.516, -0.124 ], [ -1.856, -0.968 ], [ -1.424, 0.82 ] ],
[ [ 0.048, -0.368 ], [ -1.688, -2.0 ], [ 1.512, 0.692 ], [ -0.768, -1.664 ], [ 1.704, 1.444 ], [ -0.636, -1.176 ], [ 0.996, -0.784 ], [ -0.464, 1.24 ] ],
[ [ 1.524, -1.16 ], [ -0.804, 1.42 ], [ 1.556, 1.628 ], [ -0.068, 0.82 ], [ -1.228, 1.956 ], [ -1.492, -1.256 ], [ 0.048, 0.012 ], [ -0.012, -1.58 ] ]
]
Outputs Statistics: {meanExponent=-0.13117442306991567, negative=68, min=-2.0, max=1.98, mean=-0.06793749999999998, count=128, sum=-8.695999999999998, positive=60, stdDev=1.1762083132225136, zeros=0}
We validate the agreement between the implemented derivative of the inputs apply finite difference estimations:
SingleDerivativeTester.java:117 executed in 7.24 seconds (0.000 gc):
return testFeedback(
statistics,
component.addRef(),
RefUtil.addRef(inputPrototype),
outputPrototype.addRef());
},
outputPrototype.addRef(),
RefUtil.addRef(inputPrototype),
component.addRef()));
Feedback for input 0
Inputs Values: [
[ [ 0.08 ], [ 1.208 ], [ 1.108 ], [ 1.032 ], [ 1.612 ], [ 1.552 ], [ -0.804 ], [ -1.832 ] ],
[ [ 0.7 ], [ -1.72 ], [ 0.028 ], [ 0.3 ], [ 1.64 ], [ 1.876 ], [ 0.148 ], [ 1.368 ] ],
[ [ -0.128 ], [ -1.028 ], [ -0.712 ], [ 0.636 ], [ 0.392 ], [ -0.408 ], [ -0.032 ], [ -1.54 ] ],
[ [ 0.496 ], [ -0.384 ], [ 1.048 ], [ -0.176 ], [ 0.092 ], [ -0.384 ], [ -0.892 ], [ -0.876 ] ],
[ [ -0.608 ], [ -0.852 ], [ -1.616 ], [ 1.556 ], [ -0.556 ], [ -1.572 ], [ 1.62 ], [ 1.652 ] ],
[ [ 1.764 ], [ 1.912 ], [ 1.356 ], [ 0.788 ], [ -1.476 ], [ -1.516 ], [ -1.856 ], [ -1.424 ] ],
[ [ 0.048 ], [ -1.688 ], [ 1.512 ], [ -0.768 ], [ 1.704 ], [ -0.636 ], [ 0.996 ], [ -0.464 ] ],
[ [ 1.524 ], [ -0.804 ], [ 1.556 ], [ -0.068 ], [ -1.228 ], [ -1.492 ], [ 0.048 ], [ -0.012 ] ]
]
Value Statistics: {meanExponent=-0.1923523558471011, negative=32, min=-1.856, max=1.912, mean=0.059375000000000025, count=64, sum=3.8000000000000016, positive=32, stdDev=1.1518728703181615, zeros=0}
Implemented Feedback: [ [ 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... ], [ 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... ], [ 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... ], [ 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, ... ], [ 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, ... ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, ... ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, ... ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, ... ], ... ]
Implemented Statistics: {meanExponent=0.0, negative=0, min=0.0, max=1.0, mean=0.0078125, count=8192, sum=64.0, positive=64, stdDev=0.08804240366863003, zeros=8128}
Measured Feedback: [ [ 1.0000000000000286, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... ], [ 0.0, 0.9999999999998899, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... ], [ 0.0, 0.0, 0.9999999999998899, 0.0, 0.0, 0.0, 0.0, 0.0, ... ], [ 0.0, 0.0, 0.0, 0.9999999999998899, 0.0, 0.0, 0.0, 0.0, ... ], [ 0.0, 0.0, 0.0, 0.0, 0.9999999999998899, 0.0, 0.0, 0.0, ... ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.9999999999998899, 0.0, 0.0, ... ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0000000000000286, 0.0, ... ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.9999999999998899, ... ], ... ]
Measured Statistics: {meanExponent=-4.0766943648542506E-14, negative=0, min=0.0, max=1.0000000000000286, mean=0.007812499999999255, count=8192, sum=63.999999999993896, positive=64, stdDev=0.08804240366862177, zeros=8128}
Feedback Error: [ [ 2.864375403532904E-14, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... ], [ 0.0, -1.1013412404281553E-13, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... ], [ 0.0, 0.0, -1.1013412404281553E-13, 0.0, 0.0, 0.0, 0.0, 0.0, ... ], [ 0.0, 0.0, 0.0, -1.1013412404281553E-13, 0.0, 0.0, 0.0, 0.0, ... ], [ 0.0, 0.0, 0.0, 0.0, -1.1013412404281553E-13, 0.0, 0.0, 0.0, ... ], [ 0.0, 0.0, 0.0, 0.0, 0.0, -1.1013412404281553E-13, 0.0, 0.0, ... ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.864375403532904E-14, 0.0, ... ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.1013412404281553E-13, ... ], ... ]
Error Statistics: {meanExponent=-13.052415404627576, negative=58, min=-1.1013412404281553E-13, max=2.864375403532904E-14, mean=-7.333543494691952E-16, count=8192, sum=-6.007638830851647E-12, positive=6, stdDev=9.109806220769671E-15, zeros=8128}
Feedback for input 1
Inputs Values: [
[ [ -0.472 ], [ -0.316 ], [ -1.552 ], [ -1.484 ], [ -1.248 ], [ 0.56 ], [ -0.312 ], [ 0.812 ] ],
[ [ -0.504 ], [ 1.156 ], [ 0.016 ], [ 1.352 ], [ 1.324 ], [ -1.656 ], [ -0.968 ], [ -1.808 ] ],
[ [ -1.156 ], [ 0.972 ], [ 1.288 ], [ -0.888 ], [ 0.344 ], [ -0.856 ], [ -0.892 ], [ 0.644 ] ],
[ [ 0.184 ], [ -1.116 ], [ 1.628 ], [ -1.256 ], [ -1.34 ], [ -1.16 ], [ -0.808 ], [ 0.66 ] ],
[ [ 1.98 ], [ 0.52 ], [ -1.564 ], [ 1.916 ], [ 1.776 ], [ 0.688 ], [ -1.1 ], [ -1.76 ] ],
[ [ -0.628 ], [ -1.456 ], [ -1.764 ], [ -1.724 ], [ 0.52 ], [ -0.124 ], [ -0.968 ], [ 0.82 ] ],
[ [ -0.368 ], [ -2.0 ], [ 0.692 ], [ -1.664 ], [ 1.444 ], [ -1.176 ], [ -0.784 ], [ 1.24 ] ],
[ [ -1.16 ], [ 1.42 ], [ 1.628 ], [ 0.82 ], [ 1.956 ], [ -1.256 ], [ 0.012 ], [ -1.58 ] ]
]
Value Statistics: {meanExponent=-0.06999649029273047, negative=36, min=-2.0, max=1.98, mean=-0.19524999999999998, count=64, sum=-12.495999999999999, positive=28, stdDev=1.186466998066107, zeros=0}
Implemented Feedback: [ [ 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, ... ], [ 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, ... ], [ 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, ... ], ... ]
Implemented Statistics: {meanExponent=0.0, negative=0, min=0.0, max=1.0, mean=0.0078125, count=8192, sum=64.0, positive=64, stdDev=0.08804240366863003, zeros=8128}
Measured Feedback: [ [ 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, ... ], [ 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, ... ], [ 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, ... ], ... ]
Measured Statistics: {meanExponent=-4.5475573856322416E-14, negative=0, min=0.0, max=1.0000000000000286, mean=0.007812499999999171, count=8192, sum=63.99999999999321, positive=64, stdDev=0.08804240366862082, zeros=8128}
Feedback 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, ... ], [ 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, ... ], [ 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, ... ], ... ]
Error Statistics: {meanExponent=-13.006720719768907, negative=63, min=-1.1013412404281553E-13, max=2.864375403532904E-14, mean=-8.180576441946252E-16, count=8192, sum=-6.70152822124237E-12, positive=1, stdDev=9.474157614303363E-15, zeros=8128}
Returns
{
"absoluteTol" : {
"count" : 16384,
"sum" : 1.3110179608588624E-11,
"min" : 0.0,
"max" : 1.1013412404281553E-13,
"sumOfSquare" : 1.42504148002199E-24,
"standardDeviation" : 9.291788761341854E-15,
"average" : 8.001818608757705E-16
},
"relativeTol" : {
"count" : 128,
"sum" : 6.5550898042946656E-12,
"min" : 2.9976021664879317E-15,
"max" : 5.50670620214108E-14,
"sumOfSquare" : 3.5626037000553658E-25,
"standardDeviation" : 1.2674863382457628E-14,
"average" : 5.1211639096052075E-14
}
}
We validate the agreement between the implemented derivative of the internal weights apply finite difference estimations:
SingleDerivativeTester.java:133 executed in 0.00 seconds (0.000 gc):
return testLearning(
statistics,
component.addRef(),
RefUtil.addRef(inputPrototype),
outputPrototype.addRef());
},
outputPrototype.addRef(),
RefUtil.addRef(inputPrototype),
component.addRef()));
Returns
{
"absoluteTol" : {
"count" : 16384,
"sum" : 1.3110179608588624E-11,
"min" : 0.0,
"max" : 1.1013412404281553E-13,
"sumOfSquare" : 1.42504148002199E-24,
"standardDeviation" : 9.291788761341854E-15,
"average" : 8.001818608757705E-16
},
"relativeTol" : {
"count" : 128,
"sum" : 6.5550898042946656E-12,
"min" : 2.9976021664879317E-15,
"max" : 5.50670620214108E-14,
"sumOfSquare" : 3.5626037000553658E-25,
"standardDeviation" : 1.2674863382457628E-14,
"average" : 5.1211639096052075E-14
}
}
The overall agreement accuracy between the implemented derivative and the finite difference estimations:
SingleDerivativeTester.java:148 executed in 0.00 seconds (0.000 gc):
//log.info(String.format("Component: %s\nInputs: %s\noutput=%s", component, Arrays.toStream(inputPrototype), outputPrototype));
log.info(RefString.format("Finite-Difference Derivative Accuracy:"));
log.info(RefString.format("absoluteTol: %s", statistics.absoluteTol));
log.info(RefString.format("relativeTol: %s", statistics.relativeTol));
Finite-Difference Derivative Accuracy:
absoluteTol: 8.0018e-16 +- 9.2918e-15 [0.0000e+00 - 1.1013e-13] (16384#)
relativeTol: 5.1212e-14 +- 1.2675e-14 [2.9976e-15 - 5.5067e-14] (128#)
SingleDerivativeTester.java:156 executed in 0.01 seconds (0.000 gc):
testFrozen(component.addRef(), RefUtil.addRef(inputPrototype));
testUnFrozen(component.addRef(), RefUtil.addRef(inputPrototype));
LayerTests.java:425 executed in 0.00 seconds (0.000 gc):
throwException(exceptions.addRef());
| class | details | result |
|---|---|---|
| com.simiacryptus.mindseye.test.unit.SingleDerivativeTester | ToleranceStatistics{absoluteTol=8.0018e-16 +- 9.2918e-15 [0.0000e+00 - 1.1013e-13] (16384#), relativeTol=5.1212e-14 +- 1.2675e-14 [2.9976e-15 - 5.5067e-14] (128#)} | OK |
{
"result": "OK",
"performance": {
"execution_time": "8.492",
"gc_time": "1.185"
},
"created_on": 1586739182421,
"file_name": "derivativeTest",
"report": {
"simpleName": "Double",
"canonicalName": "com.simiacryptus.mindseye.layers.cudnn.ImgConcatLayerTest.Double",
"link": "https://github.com/SimiaCryptus/mindseye-cudnn/tree/59d5b3318556370acb2d83ee6ec123ce0fc6974f/src/test/java/com/simiacryptus/mindseye/layers/cudnn/ImgConcatLayerTest.java",
"javaDoc": ""
},
"archive": "s3://code.simiacrypt.us/tests/com/simiacryptus/mindseye/layers/cudnn/ImgConcatLayer/Double/derivativeTest/202004135302",
"id": "91bcc36c-b559-46c2-9f1d-c1cc65187823",
"report_type": "Components",
"display_name": "Derivative Validation",
"target": {
"simpleName": "ImgConcatLayer",
"canonicalName": "com.simiacryptus.mindseye.layers.cudnn.ImgConcatLayer",
"link": "https://github.com/SimiaCryptus/mindseye-cudnn/tree/59d5b3318556370acb2d83ee6ec123ce0fc6974f/src/main/java/com/simiacryptus/mindseye/layers/cudnn/ImgConcatLayer.java",
"javaDoc": ""
}
}