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 0.08 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/DotEngine2528698671280167535/dotfile.dot -ooutfile.svg]

Returns

Result

Using Seed 3834375476168371200

Example Input/Output Pair

Display input/output pairs from random executions:

ReferenceIO.java:67 executed in 0.08 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 ], [ 1.72, 0.52 ], [ -1.476, -0.244 ], [ -1.956, -0.928 ], [ 1.224, 0.6 ], [ 1.864, -0.492 ], [ 0.148, 1.756 ], [ 1.296, 1.564 ], ... ],
[ [ 0.7, -0.02 ], [ 1.636, 0.876 ], [ 0.784, 1.316 ], [ -0.18, 1.964 ], [ 1.376, 0.1 ], [ -1.824, -0.736 ], [ -1.88, -1.536 ], [ -1.288, -1.644 ], ... ],
[ [ -0.128, 0.98 ], [ -0.604, 0.86 ], [ -1.74, 1.104 ], [ -1.712, -1.484 ], [ -0.02, 0.02 ], [ -0.552, -1.088 ], [ 0.136, -1.54 ], [ -1.96, 1.704 ], ... ],
[ [ 0.496, -1.112 ], [ -1.9, 0.176 ], [ 1.308, 0.672 ], [ 0.092, -1.192 ], [ -0.872, -1.56 ], [ 0.192, 0.216 ], [ -1.756, 0.236 ], [ -1.76, -0.904 ], ... ],
[ [ -0.608, 1.924 ], [ -1.196, 1.572 ], [ -1.104, -1.384 ], [ 1.992, -1.124 ], [ 1.168, 0.812 ], [ 0.216, -0.016 ], [ -1.7, 0.844 ], [ 1.836, -1.604 ], ... ],
[ [ 1.764, 1.4 ], [ -0.056, 1.936 ], [ -0.404, -0.224 ], [ -0.524, -1.656 ], [ 1.156, 1.812 ], [ 1.208, 0.216 ], [ 0.444, -0.736 ], [ -0.788, -0.18 ], ... ],
[ [ 0.048, 0.224 ], [ -1.136, 1.284 ], [ 1.988, 1.412 ], [ 0.352, 1.728 ], [ -0.868, -0.896 ], [ 0.02, 1.712 ], [ 0.504, -1.876 ], [ 0.348, -1.704 ], ... ],
[ [ 1.524, 0.936 ], [ -1.212, 1.656 ], [ 0.676, 0.608 ], [ -0.088, 1.468 ], [ -1.144, -0.512 ], [ -0.916, -0.54 ], [ -1.66, -1.264 ], [ 1.588, 1.888 ], ... ],
...
]]
--------------------
Output: 
[600, 600, 2]
[
[ [ -0.01728000119328499, -0.5282400250434875 ], [ 0.9428799748420715, 0.1438399702310562 ], [ -0.7929439544677734, 0.018128009513020515 ], [ -1.0991839170455933, -0.3992319703102112 ], [ 0.6893759369850159, 0.26332801580429077 ], [ 0.9373759627342224, -0.5829920172691345 ], [ 0.21803200244903564, 1.2102559804916382 ], [ 0.8042239546775818, 0.9289119839668274 ], ... ],
[ [ 0.3651999831199646, -0.10360000282526016 ], [ 0.9273439645767212, 0.40379196405410767 ], [ 0.5160959959030151, 0.8208479881286621 ], [ 0.06279999762773514, 1.3978400230407715 ], [ 0.7290240526199341, -0.1061280146241188 ], [ -1.0146559476852417, -0.28172799944877625 ], [ -1.1080000400543213, -0.834559977054596 ], [ -0.8064319491386414, -0.9859359860420227 ], ... ],
[ [ 0.011327995918691158, 0.7023839950561523 ], [ -0.24769598245620728, 0.679311990737915 ], [ -0.8234399557113647, 0.9955199956893921 ], [ -1.0158079862594604, -0.819663941860199 ], [ -0.00887999963015318, 0.01655999943614006 ], [ -0.3762879967689514, -0.6909440159797668 ], [ -0.05193599686026573, -1.0954079627990723 ], [ -0.890720009803772, 1.443679928779602 ], ... ],
[ [ 0.1709440052509308, -0.8418879508972168 ], [ -0.9815199971199036, 0.36640000343322754 ], [ 0.7391519546508789, 0.30297598242759705 ], [ -0.04715200141072273, -0.846176028251648 ], [ -0.5817279815673828, -0.9803839325904846 ], [ 0.11788799613714218, 0.1266240030527115 ], [ -0.9012640118598938, 0.38996800780296326 ], [ -0.9945599436759949, -0.40751996636390686 ], ... ],
[ [ -0.16467198729515076, 1.424623966217041 ], [ -0.5009439587593079, 1.2534879446029663 ], [ -0.6892159581184387, -0.8274879455566406 ], [ 0.9538879990577698, -1.0417759418487549 ], [ 0.6769919991493225, 0.418895959854126 ], [ 0.11190399527549744, -0.03884800150990486 ], [ -0.8232799768447876, 0.8083999752998352 ], [ 0.8337439894676208, -1.357807993888855 ], ... ],
[ [ 1.036336064338684, 0.754207968711853 ], [ 0.1255359947681427, 1.3623679876327515 ], [ -0.22961600124835968, -0.1050880029797554 ], [ -0.40705597400665283, -1.092128038406372 ], [ 0.7507039904594421, 1.1204320192337036 ], [ 0.6502719521522522, -0.0034239988308399916 ], [ 0.17377600073814392, -0.5720319747924805 ], [ -0.4273119866847992, -0.025136001408100128 ], ... ],
[ [ 0.04307200014591217, 0.15065599977970123 ], [ -0.492544025182724, 1.04420804977417 ], [ 1.1546720266342163, 0.7339358925819397 ], [ 0.3226879835128784, 1.1645439863204956 ], [ -0.5265119671821594, -0.5160959959030151 ], [ 0.14744000136852264, 1.1958400011062622 ], [ 0.11401598900556564, -1.3777120113372803 ], [ 0.04603199660778046, -1.2373440265655518 ], ... ],
[ [ 0.8734560012817383, 0.46012797951698303 ], [ -0.5026079416275024, 1.3143359422683716 ], [ 0.4028639793395996, 0.33907198905944824 ], [ 0.07132800668478012, 1.038864016532898 ], [ -0.6404160261154175, -0.21196800470352173 ], [ -0.5231840014457703, -0.26075199246406555 ], [ -0.9709599614143372, -0.6723200082778931 ], [ 0.9831520318984985, 1.1183359622955322 ], ... ],
...
]
--------------------
Derivative: 
[
[ [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], ... ],
[ [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], ... ],
[ [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], ... ],
[ [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], ... ],
[ [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], ... ],
[ [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], ... ],
[ [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], ... ],
[ [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], [ 0.3959999680519104, 0.7799999713897705 ], ... ],
...
]

Returns

    com.simiacryptus.mindseye.test.SimpleEval@33483261

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": "0.857",
      "gc_time": "0.146"
    },
    "created_on": 1586746986359,
    "file_name": "referenceIOTest",
    "report": {
      "simpleName": "Float",
      "canonicalName": "com.simiacryptus.mindseye.layers.cudnn.conv.ConvolutionLayerTest.Float",
      "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/Float/referenceIOTest/202004130306",
    "id": "87bb9067-4c24-4ade-a217-ad7fc600e7b8",
    "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": ""
    }
  }