1. Test Modules
  2. Training Characteristics
    1. Input Learning

Subreport: Logs for com.simiacryptus.ref.lang.ReferenceCountingBase

Test Modules

Using Seed 4605133861427295232

Training Characteristics

Input Learning

In this apply, we use a network to learn this target input, given it's pre-evaluated output:

TrainingTester.java:332 executed in 0.03 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

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    	[ [ -0.864 ], [ -1.324 ], [ 1.352 ], [ 1.744 ], [ -1.672 ], [ 0.008 ], [ 0.996 ], [ 1.756 ], ... ],
    	[ [ 1.34 ], [ 1.388 ], [ -1.732 ], [ 1.784 ], [ 0.404 ], [ 0.516 ], [ -0.248 ], [ -1.016 ], ... ],
    	[ [ -1.952 ], [ 0.668 ], [ 1.448 ], [ -1.94 ], [ -1.544 ], [ 1.064 ], [ -0.1 ], [ 0.04 ], ... ],
    	[ [ -0.596 ], [ -1.516 ], [ -1.704 ], [ 1.248 ], [ -0.912 ], [ -1.828 ], [ 0.208 ], [ 0.62 ], ... ],
    	[ [ -0.772 ], [ 0.004 ], [ -0.496 ], [ 0.512 ], [ -1.3 ], [ -1.26 ], [ -1.96 ], [ -1.252 ], ... ],
    	[ [ 1.72 ], [ -0.6 ], [ 0.212 ], [ 0.976 ], [ -1.844 ], [ -1.396 ], [ -1.66 ], [ -0.348 ], ... ],
    	[ [ -1.44 ], [ -1.836 ], [ -0.208 ], [ -0.476 ], [ 0.2 ], [ 0.604 ], [ -0.876 ], [ -0.152 ], ... ],
    	...
    ]
    [
    	[ [ -1.528 ], [ -0.94 ], [ 0.4 ], [ 1.692 ], [ 0.82 ], [ 0.76 ], [ 1.512 ], [ 0.128 ], ... ],
    	[ [ -0.016 ], [ -0.376 ], [ 0.86 ], [ 1.612 ], [ -0.544 ], [ -1.952 ], [ 1.768 ], [ -0.616 ], ... ],
    	[ [ 1.308 ], [ 1.272 ], [ 0.464 ], [ -1.112 ], [ -0.432 ], [ 1.02 ], [ -0.308 ], [ -1.772 ], ... ],
    	[ [ 1.312 ], [ -0.492 ], [ -0.504 ], [ -0.984 ], [ -1.032 ], [ -0.092 ], [ 0.74 ], [ -1.092 ], ... ],
    	[ [ 1.672 ], [ -1.48 ], [ -1.38 ], [ -1.88 ], [ 1.952 ], [ 1.98 ], [ 0.076 ], [ 1.992 ], ... ],
    	[ [ 0.432 ], [ -0.344 ], [ -0.32 ], [ 1.256 ], [ 0.624 ], [ 1.876 ], [ 0.064 ], [ -0.18 ], ... ],
    	[ [ 1.004 ], [ -0.208 ], [ 0.484 ], [ -1.644 ], [ -1.828 ], [ 1.348 ], [ 1.616 ], [ 1.296 ], ... ],
    	[ [ 0.404 ], [ 0.48 ], [ -1.796 ], [ -0.4 ], [ 0.132 ], [ 1.792 ], [ 1.836 ], [ -0.356 ], ... ],
    	...
    ]
    [
    	[ [ -0.672 ], [ 0.644 ], [ 1.248 ], [ 1.048 ], [ -0.536 ], [ -1.856 ], [ -0.42 ], [ 1.648 ], ... ],
    	[ [ -1.196 ], [ 0.596 ], [ -0.832 ], [ 0.032 ], [ 1.544 ], [ 1.948 ], [ 0.164 ], [ 1.784 ], ... ],
    	[ [ 0.424 ], [ -1.628 ], [ 1.38 ], [ -0.908 ], [ 0.216 ], [ 1.712 ], [ 0.892 ], [ 0.648 ], ... ],
    	[ [ 0.04 ], [ 1.776 ], [ 1.68 ], [ -1.164 ], [ 0.764 ], [ 0.048 ], [ 0.468 ], [ 1.416 ], ... ],
    	[ [ 0.744 ], [ 1.036 ], [ -1.392 ], [ -1.272 ], [ 1.952 ], [ 1.128 ], [ -1.832 ], [ 0.16 ], ... ],
    	[ [ 1.156 ], [ 1.928 ], [ -0.448 ], [ -0.324 ], [ 0.648 ], [ -0.908 ], [ 1.176 ], [ -1.872 ], ... ],
    	[ [ 1.988 ], [ 1.6 ], [ 0.464 ], [ 0.74 ], [ 1.924 ], [ 1.924 ], [ -1.588 ], [ -1.824 ], ... ],
    	[ [ 1.876 ], [ -0.248 ], [ -0.916 ], [ 1.228 ], [ -1.352 ], [ 0.12 ], [ -1.108 ], [ -1.12 ], ... ],
    	...
    ]
    [
    	[ [ -1.36 ], [ 0.372 ], [ 0.428 ], [ -1.152 ], [ 0.56 ], [ -1.92 ], [ 0.788 ], [ -0.044 ], ... ],
    	[ [ -0.132 ], [ 1.096 ], [ 1.536 ], [ 1.268 ], [ -0.516 ], [ 1.832 ], [ -0.64 ], [ -0.004 ], ... ],
    	[ [ -1.368 ], [ -1.34 ], [ -0.204 ], [ -0.86 ], [ -0.992 ], [ 1.924 ], [ 0.284 ], [ -1.164 ], ... ],
    	[ [ 0.864 ], [ -0.532 ], [ 1.868 ], [ -0.704 ], [ 1.884 ], [ 1.548 ], [ 0.408 ], [ 0.124 ], ... ],
    	[ [ -0.216 ], [ -0.92 ], [ 0.42 ], [ 1.0 ], [ -0.076 ], [ -1.02 ], [ -0.752 ], [ 0.544 ], ... ],
    	[ [ -1.436 ], [ -1.416 ], [ -1.852 ], [ 1.328 ], [ 0.068 ], [ 0.288 ], [ 1.764 ], [ -0.276 ], ... ],
    	[ [ 0.36 ], [ 0.7 ], [ 0.992 ], [ 0.64 ], [ 1.668 ], [ -1.012 ], [ 0.088 ], [ 0.656 ], ... ],
    	[ [ 0.864 ], [ -0.988 ], [ 0.324 ], [ -1.584 ], [ -0.68 ], [ 0.68 ], [ -0.644 ], [ 0.12 ], ... ],
    	...
    ]
    [
    	[ [ -1.032 ], [ 0.004 ], [ -1.844 ], [ -1.7 ], [ 1.544 ], [ -0.716 ], [ -1.732 ], [ 1.056 ], ... ],
    	[ [ -0.888 ], [ 0.568 ], [ 1.868 ], [ -1.616 ], [ 0.552 ], [ -1.404 ], [ 0.264 ], [ -1.82 ], ... ],
    	[ [ 1.364 ], [ 0.128 ], [ -1.836 ], [ -1.508 ], [ 1.784 ], [ 1.928 ], [ 0.456 ], [ -1.112 ], ... ],
    	[ [ 0.808 ], [ -0.404 ], [ -0.624 ], [ -0.524 ], [ -0.528 ], [ 1.8 ], [ -0.184 ], [ 1.132 ], ... ],
    	[ [ 1.736 ], [ 0.684 ], [ 0.716 ], [ 1.708 ], [ -1.688 ], [ 0.952 ], [ 0.56 ], [ 1.692 ], ... ],
    	[ [ -1.448 ], [ -1.884 ], [ -0.204 ], [ -0.352 ], [ -1.16 ], [ 1.316 ], [ 1.764 ], [ -1.82 ], ... ],
    	[ [ -1.8 ], [ 0.244 ], [ 0.856 ], [ 0.704 ], [ -0.936 ], [ 1.0 ], [ -1.892 ], [ 1.928 ], ... ],
    	[ [ 0.66 ], [ -0.732 ], [ 0.856 ], [ -0.272 ], [ 1.86 ], [ 1.076 ], [ 0.772 ], [ -1.252 ], ... ],
    	...
    ]
  {
    "result": "LifecycleException",
    "performance": {
      "execution_time": "2.991",
      "gc_time": "0.288"
    },
    "created_on": 1586745358967,
    "file_name": "trainingTest",
    "report": {
      "simpleName": "Basic",
      "canonicalName": "com.simiacryptus.mindseye.layers.cudnn.ImgTileSubnetLayerTest.Basic",
      "link": "https://github.com/SimiaCryptus/mindseye-cudnn/tree/59d5b3318556370acb2d83ee6ec123ce0fc6974f/src/test/java/com/simiacryptus/mindseye/layers/cudnn/ImgTileSubnetLayerTest.java",
      "javaDoc": ""
    },
    "archive": "s3://code.simiacrypt.us/tests/com/simiacryptus/mindseye/layers/cudnn/ImgTileSubnetLayer/Basic/trainingTest/202004133558",
    "id": "fb04a597-e892-4b1d-a945-6a6b7aca129b",
    "report_type": "Components",
    "display_name": "Comparative Training",
    "target": {
      "simpleName": "ImgTileSubnetLayer",
      "canonicalName": "com.simiacryptus.mindseye.layers.cudnn.ImgTileSubnetLayer",
      "link": "https://github.com/SimiaCryptus/mindseye-cudnn/tree/59d5b3318556370acb2d83ee6ec123ce0fc6974f/src/main/java/com/simiacryptus/mindseye/layers/cudnn/ImgTileSubnetLayer.java",
      "javaDoc": ""
    }
  }