nncf/tensorflow/helpers/model_manager.py
def _create_model_manager(model_fn, nncf_config, *args, **kwargs):
        """
        Creates model manager depending on the algorithm name.

        :param model_fn: Function for model creation.
        :param nncf_config: NNCF config.
        :return: Model manager.
        """
        if is_experimental_quantization(nncf_config):
            return TFWithoutModelManager(model_fn, *args, **kwargs)
        return TFOriginalModelManager(model_fn, *args, **kwargs)

        Creates model manager depending on the algorithm name.

        :param model_fn: Function for model creation.
        :param nncf_config: NNCF config.
        :return: Model manager.
        
Creates model manager depending on the algorithm name.
Creates model manager depending on the algorithm name .
def _create_model_manager(model_fn, nncf_config, *args, **kwargs):
        if is_experimental_quantization(nncf_config):
            return TFWithoutModelManager(model_fn, *args, **kwargs)
        return TFOriginalModelManager(model_fn, *args, **kwargs)
def _create_model_manager ( model_fn , nncf_config , * args , ** kwargs ) : if is_experimental_quantization ( nncf_config ) : return TFWithoutModelManager ( model_fn , * args , ** kwargs ) return TFOriginalModelManager ( model_fn , * args , ** kwargs )
Creates model manager depending on the algorithm name.
Creates model manager depending on the algorithm name .
"""
        Creates model manager depending on the algorithm name.

        :param model_fn: Function for model creation.
        :param nncf_config: NNCF config.
        :return: Model manager.
        """
None
model_fn
Function for model creation.
Function for model creation .
nncf_config
None