nncf/torch/pruning/filter_pruning/algo.py
def current_groupwise_pruning_level(self) -> Dict[int, float]:
        """
        Return the dict of layer group id's and corresponding current groupwise
        pruning levels in the model
        """
        groupwise_pruning_level_dict = {}
        for group in self.pruned_module_groups_info.get_all_clusters():
            groupwise_pruning_level_dict[group.id] = self.pruning_level_for_mask(group.elements[0])
        return groupwise_pruning_level_dict

        Return the dict of layer group id's and corresponding current groupwise
        pruning levels in the model
        
Return the dict of layer group id's and corresponding current groupwise
pruning levels in the model
Return the dict of layer group id ' s and corresponding current groupwise pruning levels in the model
def current_groupwise_pruning_level(self) -> Dict[int, float]:
        groupwise_pruning_level_dict = {}
        for group in self.pruned_module_groups_info.get_all_clusters():
            groupwise_pruning_level_dict[group.id] = self.pruning_level_for_mask(group.elements[0])
        return groupwise_pruning_level_dict
def current_groupwise_pruning_level ( self ) -> Dict [ int , float ] : groupwise_pruning_level_dict = { } for group in self . pruned_module_groups_info . get_all_clusters ( ) : groupwise_pruning_level_dict [ group . id ] = self . pruning_level_for_mask ( group . elements [ 0 ] ) return groupwise_pruning_level_dict
Return the dict of layer group id's and corresponding current groupwise
pruning levels in the model
Return the dict of layer group id ' s and corresponding current groupwise pruning levels in the model
"""
        Return the dict of layer group id's and corresponding current groupwise
        pruning levels in the model
        """
self