nncf/common/pruning/mask_propagation.py
def mask_propagation(self):
        """
        Mask propagation in graph:
        to propagate masks run method mask_propagation (of metaop of current node) on all nodes in topological order.
        """
        for node in self._graph.topological_sort():
            cls = self.get_meta_operation_by_type_name(node.node_type)
            cls.mask_propagation(node, self._graph, self._tensor_processor)

        Mask propagation in graph:
        to propagate masks run method mask_propagation (of metaop of current node) on all nodes in topological order.
        
Mask propagation in graph:
to propagate masks run method mask_propagation (of metaop of current node) on all nodes in topological order.
Mask propagation in graph : to propagate masks run method mask_propagation ( of metaop of current node ) on all nodes in topological order .
def mask_propagation(self):
        for node in self._graph.topological_sort():
            cls = self.get_meta_operation_by_type_name(node.node_type)
            cls.mask_propagation(node, self._graph, self._tensor_processor)
def mask_propagation ( self ) : for node in self . _graph . topological_sort ( ) : cls = self . get_meta_operation_by_type_name ( node . node_type ) cls . mask_propagation ( node , self . _graph , self . _tensor_processor )
Mask propagation in graph:
to propagate masks run method mask_propagation (of metaop of current node) on all nodes in topological order.
Mask propagation in graph : to propagate masks run method mask_propagation ( of metaop of current node ) on all nodes in topological order .
"""
        Mask propagation in graph:
        to propagate masks run method mask_propagation (of metaop of current node) on all nodes in topological order.
        """
self