CoreMLProvider

class openstef_foundation_models.inference.providers.CoreMLProvider(**data: Any) → None

Bases: BaseConfig

The CoreML execution provider (Apple, GPU/Neural Engine).

ModelFormat=MLProgram is required for modern CoreML: the legacy NeuralNetwork format fragments the graph and silently falls back to CPU for many ops.

Parameters:

data (Any)

kind: Literal['coreml']

model_format: Literal['MLProgram', 'NeuralNetwork']

compute_units: Literal['CPUOnly', 'CPUAndGPU', 'CPUAndNeuralEngine', 'ALL']

cache_dir: Path | None

to_ort() → OrtProvider

Compile to an ONNX Runtime provider tuple.

Return type:

tuple[str, dict[str, object]]

Returns:

The CoreMLExecutionProvider with format, compute-unit and (optional) cache options.

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': False, 'extra': 'ignore', 'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].