( dataset: Dataset batch_size: int = 1 )
( tokenizer: PreTrainedTokenizer model: PreTrainedModel feature: str = 'default' opset: typing.Optional[int] = None )
:return:
( onnx_model_path: typing.Union[str, os.PathLike] onnx_quantized_model_output_path: typing.Union[str, os.PathLike] quantization_config: QuantizationConfig calibration_tensors_range: typing.Union[typing.Dict[str, typing.Tuple[float, float]], NoneType] = None use_external_data_format: bool = False preprocessor: typing.Optional[optimum.onnxruntime.preprocessors.quantization.QuantizationPreprocessor] = None )
:param onnx_model_path: :param onnx_quantized_model_output_path: :param quantization_config: :param calibration_tensors_range: :param use_external_data_format: :param preprocessor: :return:
( dataset: Dataset calibration_config: CalibrationConfig onnx_model_path: typing.Union[str, os.PathLike, pathlib.Path] onnx_augmented_model_name: str = 'augmented_model.onnx' operators_to_quantize: typing.Optional[typing.List[str]] = None batch_size: int = 1 use_external_data_format: bool = False use_gpu: bool = False force_symmetric_range: bool = False )
:param dataset :param calibration_config: :param onnx_model_path: :param onnx_augmented_model_name :param operators_to_quantize: :param batch_size: :param use_external_data_format: :param use_gpu: :param force_symmetric_range: :return:
( model_name_or_path: typing.Union[str, os.PathLike] feature: str opset: typing.Optional[int] = None )
:param model_name_or_path: :param feature: :param opset: :return:
( dataset_name: str num_samples: int = 100 dataset_config_name: typing.Optional[str] = None dataset_split: typing.Optional[str] = None preprocess_function: typing.Optional[typing.Callable] = None preprocess_batch: bool = True seed: int = 2016 )
Returns the calibration Dataset to use for the post-training static
quantization calibration step.
( dataset: Dataset calibration_config: CalibrationConfig onnx_model_path: typing.Union[str, os.PathLike] onnx_augmented_model_name: str = 'augmented_model.onnx' operators_to_quantize: typing.Optional[typing.List[str]] = None batch_size: int = 1 use_external_data_format: bool = False use_gpu: bool = False force_symmetric_range: bool = False )
:param dataset: :param calibration_config: :param onnx_model_path: :param onnx_augmented_model_name: :param operators_to_quantize: :param batch_size: :param use_external_data_format: :param use_gpu: :param force_symmetric_range :return: