nncf/torch/pruning/filter_pruning/algo.py
def prepare_for_export(self):
        """
        Applies pruning masks to layer weights before exporting the model to ONNX.
        """
        self._propagate_masks()

        pruned_layers_stats = self.get_stats_for_pruned_modules()
        nncf_logger.debug('Pruned layers statistics: \n%s', pruned_layers_stats.draw())

        Applies pruning masks to layer weights before exporting the model to ONNX.
        
Applies pruning masks to layer weights before exporting the model to ONNX.
Applies pruning masks to layer weights before exporting the model to ONNX .
def prepare_for_export(self):
        self._propagate_masks()
        pruned_layers_stats = self.get_stats_for_pruned_modules()
        nncf_logger.debug('Pruned layers statistics: \n%s', pruned_layers_stats.draw())
def prepare_for_export ( self ) : self . _propagate_masks ( ) pruned_layers_stats = self . get_stats_for_pruned_modules ( ) nncf_logger . debug ( 'Pruned layers statistics: \n%s' , pruned_layers_stats . draw ( ) )
Applies pruning masks to layer weights before exporting the model to ONNX.
Applies pruning masks to layer weights before exporting the model to ONNX .
"""
        Applies pruning masks to layer weights before exporting the model to ONNX.
        """
self