nncf/experimental/torch/nas/bootstrapNAS/elasticity/filter_reorder.py
def reorder_filters(self) -> None:
        """
        Model pruner work in two stages:
        1. Mask propagation: propagate pruning masks through the graph.
        2. Applying calculated masks
        """
        nncf_logger.info('Start reordering filters')
        self.mask_propagation()
        self.apply_reordering_indexes()
        nncf_logger.info('Finished reordering filters')

        Model pruner work in two stages:
        1. Mask propagation: propagate pruning masks through the graph.
        2. Applying calculated masks
        
Model pruner work in two stages:
1. Mask propagation: propagate pruning masks through the graph.
2. Applying calculated masks
Model pruner work in two stages : 1 . Mask propagation : propagate pruning masks through the graph . 2 . Applying calculated masks
def reorder_filters(self) -> None:
        nncf_logger.info('Start reordering filters')
        self.mask_propagation()
        self.apply_reordering_indexes()
        nncf_logger.info('Finished reordering filters')
def reorder_filters ( self ) -> None : nncf_logger . info ( 'Start reordering filters' ) self . mask_propagation ( ) self . apply_reordering_indexes ( ) nncf_logger . info ( 'Finished reordering filters' )
Model pruner work in two stages:
1.
Model pruner work in two stages : 1 .
"""
        Model pruner work in two stages:
        1. Mask propagation: propagate pruning masks through the graph.
        2. Applying calculated masks
        """
self