1. Test Modules
2. Network Diagram
3. Serialization
   1. Raw Json
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 0.44 seconds (0.000 gc):

    return Graphviz.fromGraph((Graph) TestUtil.toGraph(((DAGNetwork) layer).addRef())).height(400).width(600)
        .render(Format.PNG).toImage();

executing command [/bin/sh, -c, dot -Tsvg /tmp/GraphvizJava/DotEngine2554418538472164557/dotfile.dot -ooutfile.svg]

Returns

Using Seed 7356701734046912512

Serialization

This apply will demonstrate the key's JSON serialization, and verify deserialization integrity.

Raw Json

SerializationTest.java:99 executed in 0.00 seconds (0.000 gc):

    final JsonObject json = layer.getJson().getAsJsonObject();
    @Nonnull final Layer echo = Layer.fromJson(json);
    if (layer == echo) {
      echo.freeRef();
      throw new AssertionError("Serialization did not copy");
    }
    if (!layer.equals(echo)) {
      echo.freeRef();
      throw new AssertionError("Serialization not equal");
    }
    echo.freeRef();
    return json;

Returns

    {
      "class": "com.simiacryptus.mindseye.network.PipelineNetwork",
      "id": "ac37d0a5-1a1d-459d-9a0a-36ba1911b157",
      "isFrozen": false,
      "name": "Conv [1/1 x 1/1, 4]+",
      "inputs": [
        "69da71ee-df57-455a-8d46-fa137e541ed7"
      ],
      "nodes": {
        "5e6aa11b-9e4b-4050-9d72-d47063fa07f5": "6ab4c9d3-ed16-4501-8740-28c1bfa3f83a"
      },
      "layers": {
        "6ab4c9d3-ed16-4501-8740-28c1bfa3f83a": {
          "class": "com.simiacryptus.mindseye.layers.cudnn.ImgTileSubnetLayer",
          "id": "6ab4c9d3-ed16-4501-8740-28c1bfa3f83a",
          "isFrozen": false,
          "name": "ImgTileSubnetLayer",
          "inner": {
            "class": "com.simiacryptus.mindseye.network.PipelineNetwork",
            "id": "013647a3-a578-4270-9020-df02cee40883",
            "isFrozen": false,
            "name": "PipelineNetwork",
            "inputs": [
              "cb542548-8808-4b4b-9df4-deb7b057b8d7"
            ],
            "nodes": {
              "c9586049-49ef-4be6-92bf-0d36476ad335": "fdd54212-cdaf-4a8f-91d5-96fc210e376c"
            },
            "layers": {
              "fdd54212-cdaf-4a8f-91d5-96fc210e376c": {
                "class": "com.simiacryptus.mindseye.layers.cudnn.conv.SimpleConvolutionLayer",
                "id": "fdd54212-cdaf-4a8f-91d5-96fc210e376c",
                "isFrozen": false,
                "name": "SimpleConvolutionLayer",
                "filter": [
                  [
                    [
                      0.496
                    ]
                  ],
                  [
                    [
                      0.08
                    ]
                  ],
                  [
                    [
                      -0.128
                    ]
                  ],
                  [
                    [
                      0.7
                    ]
                  ]
                ],
                "strideX": 1,
                "strideY": 1,
                "paddingX": 0,
                "paddingY": 0,
                "precision": "Float"
              }
            },
            "links": {
              "c9586049-49ef-4be6-92bf-0d36476ad335": [
                "cb542548-8808-4b4b-9df4-deb7b057b8d7"
              ]
            },
            "labels": {},
            "head": "c9586049-49ef-4be6-92bf-0d36476ad335"
          },
          "height": 16384,
          "width": 16384,
          "strideX": 16384,
          "strideY": 16384,
          "precision": "Float",
          "parallel": false
        }
      },
      "links": {
        "5e6aa11b-9e4b-4050-9d72-d47063fa07f5": [
          "69da71ee-df57-455a-8d46-fa137e541ed7"
        ]
      },
      "labels": {},
      "head": "5e6aa11b-9e4b-4050-9d72-d47063fa07f5"
    }

Wrote Model to PipelineNetwork_jsonTest.json; 2419 characters

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

    throwException(exceptions.addRef());

Results

  {
    "result": "OK",
    "performance": {
      "execution_time": "1.103",
      "gc_time": "0.186"
    },
    "created_on": 1586746972468,
    "file_name": "jsonTest",
    "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/jsonTest/202004130251",
    "id": "e69c2c7c-5846-4afe-9d39-7ba7d7797f68",
    "report_type": "Components",
    "display_name": "JSON Serialization",
    "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": ""
    }
  }