Segmentation.mlmodelc/metadata.json

[
  {
    "shortDescription" : "pyannote community-1 segmentation (10 s powerset diarization, batch 1-32)",
    "metadataOutputVersion" : "3.0",
    "outputSchema" : [
      {
        "hasShapeFlexibility" : "0",
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        "dataType" : "Float32",
        "formattedType" : "MultiArray (Float32)",
        "shortDescription" : "",
        "shape" : "[]",
        "name" : "log_probs",
        "type" : "MultiArray"
      }
    ],
    "version" : "pyannote-speaker-diarization-community-1",
    "modelParameters" : [

    ],
    "author" : "Fluid Inference",
    "specificationVersion" : 8,
    "storagePrecision" : "Float32",
    "license" : "CC-BY-4.0",
    "mlProgramOperationTypeHistogram" : {
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      "Ios17.transpose" : 3,
      "Ios17.conv" : 3,
      "Ios17.log" : 1,
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      "Ios17.leakyRelu" : 5,
      "Ios17.gather" : 1,
      "Ios17.concat" : 9,
      "Fill" : 1,
      "Ios17.abs" : 1,
      "Ios16.maxPool" : 3,
      "Ios17.lstm" : 4,
      "Ios16.softmax" : 1,
      "Ios17.instanceNorm" : 4,
      "Split" : 10,
      "Ios17.squeeze" : 8
    },
    "computePrecision" : "Mixed (Float32, Int32)",
    "stateSchema" : [

    ],
    "isUpdatable" : "0",
    "availability" : {
      "macOS" : "14.0",
      "tvOS" : "17.0",
      "visionOS" : "1.0",
      "watchOS" : "10.0",
      "iOS" : "17.0",
      "macCatalyst" : "17.0"
    },
    "modelType" : {
      "name" : "MLModelType_mlProgram"
    },
    "inputSchema" : [
      {
        "shortDescription" : "",
        "dataType" : "Float32",
        "hasShapeFlexibility" : "1",
        "isOptional" : "0",
        "shapeFlexibility" : "32 × 1 × 160000 | 1 × 1 × 160000 | 2 × 1 × 160000 | 3 × 1 × 160000 | 4 × 1 × 160000 | 5 × 1 × 160000 | 6 × 1 × 160000 | 7 × 1 × 160000 | 8 × 1 × 160000 | 9 × 1 × 160000 | 10 × 1 × 160000 | 11 × 1 × 160000 | 12 × 1 × 160000 | 13 × 1 × 160000 | 14 × 1 × 160000 | 15 × 1 × 160000 | 16 × 1 × 160000 | 17 × 1 × 160000 | 18 × 1 × 160000 | 19 × 1 × 160000 | 20 × 1 × 160000 | 21 × 1 × 160000 | 22 × 1 × 160000 | 23 × 1 × 160000 | 24 × 1 × 160000 | 25 × 1 × 160000 | 26 × 1 × 160000 | 27 × 1 × 160000 | 28 × 1 × 160000 | 29 × 1 × 160000 | 30 × 1 × 160000 | 31 × 1 × 160000",
        "formattedType" : "MultiArray (Float32 32 × 1 × 160000)",
        "type" : "MultiArray",
        "shape" : "[32, 1, 160000]",
        "name" : "audio",
        "enumeratedShapes" : "[[32, 1, 160000], [1, 1, 160000], [2, 1, 160000], [3, 1, 160000], [4, 1, 160000], [5, 1, 160000], [6, 1, 160000], [7, 1, 160000], [8, 1, 160000], [9, 1, 160000], [10, 1, 160000], [11, 1, 160000], [12, 1, 160000], [13, 1, 160000], [14, 1, 160000], [15, 1, 160000], [16, 1, 160000], [17, 1, 160000], [18, 1, 160000], [19, 1, 160000], [20, 1, 160000], [21, 1, 160000], [22, 1, 160000], [23, 1, 160000], [24, 1, 160000], [25, 1, 160000], [26, 1, 160000], [27, 1, 160000], [28, 1, 160000], [29, 1, 160000], [30, 1, 160000], [31, 1, 160000]]"
      }
    ],
    "userDefinedMetadata" : {
      "com.github.apple.coremltools.conversion_date" : "2025-10-13",
      "com.github.apple.coremltools.source" : "torch==2.8.0",
      "com.github.apple.coremltools.version" : "9.0b1",
      "com.github.apple.coremltools.source_dialect" : "TorchScript"
    },
    "generatedClassName" : "Segmentation",
    "method" : "predict"
  }
]