optimum/exporters/openvino/model_configs.py [1769:1789]:
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    def __init__(
        self,
        config: "PretrainedConfig",
        task: str = "feature-extraction",
        int_dtype: str = "int64",
        float_dtype: str = "fp32",
        behavior: VLMConfigBehavior = VLMConfigBehavior.VISION_EMBEDDINGS,
        preprocessors: Optional[List[Any]] = None,
        **kwargs,
    ):
        super().__init__(
            config=config,
            task=task,
            int_dtype=int_dtype,
            float_dtype=float_dtype,
            preprocessors=preprocessors,
        )
        self._orig_config = config
        if self._behavior == VLMConfigBehavior.VISION_EMBEDDINGS and hasattr(config, "vision_config"):
            self._config = config.vision_config
            self._normalized_config = self.NORMALIZED_CONFIG_CLASS(self._config)
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optimum/exporters/openvino/model_configs.py [3881:3901]:
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    def __init__(
        self,
        config: "PretrainedConfig",
        task: str = "feature-extraction",
        int_dtype: str = "int64",
        float_dtype: str = "fp32",
        behavior: VLMConfigBehavior = VLMConfigBehavior.VISION_EMBEDDINGS,
        preprocessors: Optional[List[Any]] = None,
        **kwargs,
    ):
        super().__init__(
            config=config,
            task=task,
            int_dtype=int_dtype,
            float_dtype=float_dtype,
            preprocessors=preprocessors,
        )
        self._orig_config = config
        if self._behavior == VLMConfigBehavior.VISION_EMBEDDINGS and hasattr(config, "vision_config"):
            self._config = config.vision_config
            self._normalized_config = self.NORMALIZED_CONFIG_CLASS(self._config)
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