speaker_embedder/pyannote-v3/W6A16/SpeakerEmbedderPreprocessor.mlmodelc/metadata.json

[
  {
    "metadataOutputVersion" : "3.0",
    "storagePrecision" : "Float32",
    "outputSchema" : [
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Float16",
        "formattedType" : "MultiArray (Float16 1 × 998 × 80)",
        "shortDescription" : "",
        "shape" : "[1, 998, 80]",
        "name" : "preprocessor_output_1",
        "type" : "MultiArray"
      }
    ],
    "modelParameters" : [

    ],
    "specificationVersion" : 7,
    "mlProgramOperationTypeHistogram" : {
      "Ios16.cast" : 2,
      "Ios16.mul" : 4,
      "SliceByIndex" : 2,
      "Transpose" : 2,
      "SlidingWindows" : 1,
      "Ios16.sub" : 3,
      "Ios16.log" : 1,
      "Ios16.reduceMean" : 2,
      "Ios16.square" : 2,
      "Squeeze" : 2,
      "Ios16.matmul" : 2,
      "Ios16.add" : 1,
      "Ios16.linear" : 1,
      "ExpandDims" : 4,
      "Ios16.gather" : 2,
      "Ios16.maximum" : 1,
      "Identity" : 1,
      "Pad" : 2
    },
    "computePrecision" : "Mixed (Float16, Float32, Int32)",
    "isUpdatable" : "0",
    "stateSchema" : [

    ],
    "availability" : {
      "macOS" : "13.0",
      "tvOS" : "16.0",
      "visionOS" : "1.0",
      "watchOS" : "9.0",
      "iOS" : "16.0",
      "macCatalyst" : "16.0"
    },
    "modelType" : {
      "name" : "MLModelType_mlProgram"
    },
    "userDefinedMetadata" : {
      "com.github.apple.coremltools.source_dialect" : "TorchScript",
      "com.github.apple.coremltools.source" : "torch==2.5.1",
      "com.github.apple.coremltools.version" : "8.1"
    },
    "inputSchema" : [
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Float16",
        "formattedType" : "MultiArray (Float16 1 × 160000)",
        "shortDescription" : "",
        "shape" : "[1, 160000]",
        "name" : "waveforms",
        "type" : "MultiArray"
      }
    ],
    "generatedClassName" : "SpeakerEmbeddingPreprocessor",
    "method" : "predict"
  }
]