1. Test Modules
  2. Network Diagram
  3. Example Input/Output Pair
  4. Results

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

Test Modules

Network Diagram

This is a network apply the following layout:

LayerTests.java:203 executed in 0.07 seconds (0.000 gc):

    return Graphviz.fromGraph((Graph) TestUtil.toGraph(((DAGNetwork) layer).addRef())).height(400).width(600)
        .render(Format.PNG).toImage();
Logging
executing command [/bin/sh, -c, dot -Tsvg /tmp/GraphvizJava/DotEngine7291067952167364359/dotfile.dot -ooutfile.svg]

Returns

Result

Using Seed 5105268587539763200

Example Input/Output Pair

Display input/output pairs from random executions:

ReferenceIO.java:67 executed in 0.22 seconds (0.000 gc):

    @Nonnull final SimpleEval eval = SimpleEval.run(layer.addRef(), RefUtil.addRef(inputPrototype));
    System.out.println(toString(RefUtil.addRef(inputPrototype), eval.addRef()));
    return eval;
Logging
--------------------
Input: 
[[
[ [ 0.08, -0.74, -0.284, -0.396, -0.852, 0.284, -1.736 ], [ 1.72, 0.52, 1.812, -1.24, 0.96, -1.928, -0.56 ], [ -1.476, -0.244, 1.1, 0.856, 1.136, -0.548, 0.38 ], [ -1.956, -0.928, 1.628, 1.168, 1.312, 1.452, 0.384 ], [ 1.224, 0.6, 0.312, -1.144, 0.248, 1.636, 0.944 ], [ 1.864, -0.492, 0.492, -1.888, 1.54, -0.556, -0.384 ], [ 0.148, 1.756, 0.908, -0.668, 1.988, 0.7, 1.776 ], [ 1.296, 1.564, -1.02, -0.78, -0.456, 0.444, 1.24 ], ... ],
[ [ 0.7, -0.02, 0.536, -1.852, 0.848, 1.54, -1.364 ], [ 1.636, 0.876, 1.52, -0.36, -0.7, 1.164, -0.86 ], [ 0.784, 1.316, 0.008, -1.632, -1.356, 0.408, 1.216 ], [ -0.18, 1.964, 1.412, -0.844, -1.372, -1.648, 0.556 ], [ 1.376, 0.1, -1.22, 0.768, -1.388, -1.332, 1.736 ], [ -1.824, -0.736, 1.888, -0.452, -1.328, -0.776, -0.644 ], [ -1.88, -1.536, 1.62, -0.124, -0.804, -0.192, 0.856 ], [ -1.288, -1.644, -1.144, 0.836, 0.3, 1.28, 0.436 ], ... ],
[ [ -0.128, 0.98, 0.936, -0.176, -0.752, -0.068, -0.652 ], [ -0.604, 0.86, -1.46, -1.492, 0.456, -0.696, -1.16 ], [ -1.74, 1.104, -0.192, 0.216, -1.092, 0.788, 0.752 ], [ -1.712, -1.484, -0.712, -0.108, 0.444, -0.476, -0.22 ], [ -0.02, 0.02, -1.444, 1.844, 0.1, 1.088, -0.224 ], [ -0.552, -1.088, 0.74, -0.4, -1.804, 0.92, -0.54 ], [ 0.136, -1.54, 1.08, 0.348, 1.768, 1.632, 0.644 ], [ -1.96, 1.704, 0.228, 0.816, 1.932, -1.056, 1.732 ], ... ],
[ [ 0.496, -1.112, -0.704, 0.904, 0.868, 0.924, -1.988 ], [ -1.9, 0.176, 0.46, -0.74, -1.66, -0.48, -0.684 ], [ 1.308, 0.672, 0.94, 0.6, 0.076, 0.336, 1.528 ], [ 0.092, -1.192, 1.368, 0.372, -0.168, 1.8, 0.984 ], [ -0.872, -1.56, -0.9, -1.38, 0.416, 0.42, 1.712 ], [ 0.192, 0.216, -0.456, -1.712, 1.948, 0.02, 0.636 ], [ -1.756, 0.236, 0.42, -1.932, -1.688, -1.224, 0.192 ], [ -1.76, -0.904, 0.016, -1.14, 0.828, 1.104, -0.544 ], ... ],
[ [ -0.608, 1.924, 1.612, -1.148, 0.78, 0.896, -1.308 ], [ -1.196, 1.572, -0.604, 0.304, 0.928, -1.876, 0.588 ], [ -1.104, -1.384, 1.568, -0.636, -0.924, -1.148, -0.436 ], [ 1.992, -1.124, -1.476, 1.952, 1.488, 0.404, 0.552 ], [ 1.168, 0.812, -0.116, 0.488, 0.916, -0.732, 1.06 ], [ 0.216, -0.016, -1.56, 0.372, 0.6, -0.392, -0.828 ], [ -1.7, 0.844, 0.136, -0.92, 1.476, -0.352, -1.928 ], [ 1.836, -1.604, -1.56, 0.312, -0.884, -1.664, 1.472 ], ... ],
[ [ 1.764, 1.4, -0.416, 1.68, -0.968, 1.588, -1.484 ], [ -0.056, 1.936, 1.744, 0.052, -1.248, 1.568, -1.3 ], [ -0.404, -0.224, 1.564, 0.42, 1.248, -0.972, -0.568 ], [ -0.524, -1.656, 1.272, -1.16, 0.304, -1.776, 1.096 ], [ 1.156, 1.812, -0.384, 1.476, -0.788, -1.812, 1.924 ], [ 1.208, 0.216, 0.892, 0.564, 0.7, -0.448, 0.764 ], [ 0.444, -0.736, 0.336, -1.64, 0.428, -1.368, -1.296 ], [ -0.788, -0.18, -1.232, -0.016, 1.008, 1.62, 0.472 ], ... ],
[ [ 0.048, 0.224, 1.684, 0.312, -1.2, 0.244, 1.788 ], [ -1.136, 1.284, -1.556, -0.916, -1.664, -0.644, -1.04 ], [ 1.988, 1.412, -1.716, -1.224, 0.08, 0.012, -1.34 ], [ 0.352, 1.728, 1.804, 0.688, -0.908, -0.02, -1.812 ], [ -0.868, -0.896, -1.128, 0.808, -1.484, -1.548, 1.556 ], [ 0.02, 1.712, 0.348, 0.8, -1.212, -1.508, -1.82 ], [ 0.504, -1.876, 0.068, 1.824, -1.68, 1.568, -1.728 ], [ 0.348, -1.704, 1.324, -0.5, -0.052, 0.492, -0.76 ], ... ],
[ [ 1.524, 0.936, 0.232, -1.316, 0.88, -0.664, 1.128 ], [ -1.212, 1.656, 1.22, -0.488, -1.152, 0.468, -0.844 ], [ 0.676, 0.608, -0.316, -0.952, 0.132, -0.74, -1.704 ], [ -0.088, 1.468, 0.224, -0.308, 0.652, -0.236, 0.212 ], [ -1.144, -0.512, 0.044, 0.528, 0.188, 0.14, -1.996 ], [ -0.916, -0.54, -1.696, 1.1, -0.452, -1.772, 1.18 ], [ -1.66, -1.264, 0.168, 1.464, -0.332, 0.664, 1.804 ], [ 1.588, 1.888, -1.888, 1.188, 1.232, -1.808, 0.464 ], ... ],
...
]]
--------------------
Output: 
[600, 600, 5]
[
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[ [ -13.920432, 8.590527999999997, 12.347791999999995, 2.42336, 9.940272000000002 ], [ 6.223503999999998, 16.742528, 3.902432, 0.7486400000000013, -0.5238719999999981 ], [ 12.681103999999998, 7.928559999999999, 15.261855999999998, -10.080079999999999, 8.001775999999994 ], [ 20.053215999999992, 0.1188159999999988, 8.454863999999999, 3.7000159999999993, 0.34548799999999696 ], [ 9.778223999999998, 27.6012, -1.1224640000000006, -2.865807999999999, -12.043455999999997 ], [ 1.6192640000000011, 9.625744000000001, -7.182239999999999, 3.7185439999999987, -0.2691360000000011 ], [ -4.593023999999997, -17.956096, 13.281312, -10.754511999999997, 2.7010240000000016 ], [ 12.470703999999998, -7.395775999999996, -3.0954239999999973, -6.4114560000000065, -8.053087999999999 ], ... ],
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...skipping 1725 bytes...

99999, 2.732, 4.356 ], [ 3.876, -2.4360000000000004, 5.44, -6.947999999999999, 2.1760000000000006, 2.912, 6.432000000000003 ], [ 3.876, -2.4360000000000004, 5.44, -6.947999999999999, 2.1760000000000006, 2.912, 6.432000000000003 ], [ 3.876, -2.4360000000000004, 5.44, -6.947999999999999, 2.1760000000000006, 2.912, 6.432000000000003 ], [ 3.876, -2.4360000000000004, 5.44, -6.947999999999999, 2.1760000000000006, 2.912, 6.432000000000003 ], [ 3.876, -2.4360000000000004, 5.44, -6.947999999999999, 2.1760000000000006, 2.912, 6.432000000000003 ], [ 3.876, -2.4360000000000004, 5.44, -6.947999999999999, 2.1760000000000006, 2.912, 6.432000000000003 ], [ 3.876, -2.4360000000000004, 5.44, -6.947999999999999, 2.1760000000000006, 2.912, 6.432000000000003 ], ... ],
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...
]

Returns

    com.simiacryptus.mindseye.test.SimpleEval@7b1df2d2

LayerTests.java:425 executed in 0.00 seconds (0.000 gc):

    throwException(exceptions.addRef());

Results

classresult
com.simiacryptus.mindseye.test.unit.ReferenceIOOK
  {
    "result": "OK",
    "performance": {
      "execution_time": "1.908",
      "gc_time": "0.174"
    },
    "created_on": 1586747375671,
    "file_name": "referenceIOTest",
    "report": {
      "simpleName": "IrregularTest",
      "canonicalName": "com.simiacryptus.mindseye.layers.cudnn.conv.ConvolutionLayerTest.IrregularTest",
      "link": "https://github.com/SimiaCryptus/mindseye-cudnn/tree/59d5b3318556370acb2d83ee6ec123ce0fc6974f/src/test/java/com/simiacryptus/mindseye/layers/cudnn/conv/ConvolutionLayerTest.java",
      "javaDoc": ""
    },
    "archive": "s3://code.simiacrypt.us/tests/com/simiacryptus/mindseye/layers/cudnn/conv/ConvolutionLayer/IrregularTest/referenceIOTest/202004130935",
    "id": "b37646f3-b229-4ce8-af8d-b74b986a6590",
    "report_type": "Components",
    "display_name": "Input/Output",
    "target": {
      "simpleName": "ConvolutionLayer",
      "canonicalName": "com.simiacryptus.mindseye.layers.cudnn.conv.ConvolutionLayer",
      "link": "https://github.com/SimiaCryptus/mindseye-cudnn/tree/59d5b3318556370acb2d83ee6ec123ce0fc6974f/src/main/java/com/simiacryptus/mindseye/layers/cudnn/conv/ConvolutionLayer.java",
      "javaDoc": ""
    }
  }