:py:mod:`neural_compressor.compression.pruner.pruners.progressive`
==================================================================

.. py:module:: neural_compressor.compression.pruner.pruners.progressive

.. autoapi-nested-parse::

   Progressive pruner.



Module Contents
---------------

Classes
~~~~~~~

.. autoapisummary::

   neural_compressor.compression.pruner.pruners.progressive.PytorchProgressivePruner




.. py:class:: PytorchProgressivePruner(config, modules)




   Pruning Pruner.

   A Pruner class derived from BasicPruner. In this pruner, mask interpolation will be applied.
   Mask interpolation is a fine-grained improvement for NxM structured pruning by adding interval
       masks between masks of two pruning steps.

   :param modules: A dict {"module_name": Tensor} that stores the pruning modules' weights.
   :param config: A config dict object that contains the pruner information.

   .. attribute:: Inherit from parent class Pruner.