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29 lines
720 B
Python
29 lines
720 B
Python
from const import EnumInferenceTypes, EnumEmbedderTypes
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from dataclasses import dataclass
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@dataclass
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class ModelSlot:
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# pyTorchModelFile: str = ""
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# onnxModelFile: str = ""
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modelFile: str = ""
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featureFile: str = ""
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indexFile: str = ""
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defaultTune: int = 0
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defaultIndexRatio: int = 1
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isONNX: bool = False
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modelType: EnumInferenceTypes = EnumInferenceTypes.pyTorchRVC
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samplingRate: int = -1
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f0: bool = True
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embChannels: int = 256
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embOutputLayer: int = 9
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useFinalProj: bool = True
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deprecated: bool = False
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embedder: EnumEmbedderTypes = EnumEmbedderTypes.hubert
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name: str = ""
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description: str = ""
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credit: str = ""
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termsOfUseUrl: str = ""
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