PldaRho.mlmodelc/metadata.json

[
  {
    "shortDescription" : "pyannote community-1 PLDA rho (features scaled by sqrt(phi) for VBx clustering, batch 1-32)",
    "metadataOutputVersion" : "3.0",
    "outputSchema" : [
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Float32",
        "formattedType" : "MultiArray (Float32)",
        "shortDescription" : "",
        "shape" : "[]",
        "name" : "rho",
        "type" : "MultiArray"
      }
    ],
    "version" : "pyannote-speaker-diarization-community-1",
    "modelParameters" : [

    ],
    "author" : "Fluid Inference",
    "specificationVersion" : 8,
    "storagePrecision" : "Float32",
    "license" : "CC-BY-4.0",
    "mlProgramOperationTypeHistogram" : {
      "Ios16.reduceSum" : 2,
      "Ios17.clip" : 2,
      "Ios17.sqrt" : 2,
      "Ios17.linear" : 2,
      "Ios17.realDiv" : 2,
      "Ios17.mul" : 5,
      "Ios17.sub" : 3
    },
    "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 × 256 | 1 × 256 | 2 × 256 | 3 × 256 | 4 × 256 | 5 × 256 | 6 × 256 | 7 × 256 | 8 × 256 | 9 × 256 | 10 × 256 | 11 × 256 | 12 × 256 | 13 × 256 | 14 × 256 | 15 × 256 | 16 × 256 | 17 × 256 | 18 × 256 | 19 × 256 | 20 × 256 | 21 × 256 | 22 × 256 | 23 × 256 | 24 × 256 | 25 × 256 | 26 × 256 | 27 × 256 | 28 × 256 | 29 × 256 | 30 × 256 | 31 × 256",
        "formattedType" : "MultiArray (Float32 32 × 256)",
        "type" : "MultiArray",
        "shape" : "[32, 256]",
        "name" : "embeddings",
        "enumeratedShapes" : "[[32, 256], [1, 256], [2, 256], [3, 256], [4, 256], [5, 256], [6, 256], [7, 256], [8, 256], [9, 256], [10, 256], [11, 256], [12, 256], [13, 256], [14, 256], [15, 256], [16, 256], [17, 256], [18, 256], [19, 256], [20, 256], [21, 256], [22, 256], [23, 256], [24, 256], [25, 256], [26, 256], [27, 256], [28, 256], [29, 256], [30, 256], [31, 256]]"
      }
    ],
    "userDefinedMetadata" : {
      "com.github.apple.coremltools.conversion_date" : "2025-10-04",
      "com.github.apple.coremltools.source" : "torch==2.8.0",
      "com.github.apple.coremltools.version" : "9.0b1",
      "com.github.apple.coremltools.source_dialect" : "TorchScript"
    },
    "generatedClassName" : "plda_rho_community_1",
    "method" : "predict"
  }
]