:py:mod:`neural_compressor.strategy.mse_v2`
===========================================

.. py:module:: neural_compressor.strategy.mse_v2

.. autoapi-nested-parse::

   The MSE_V2 tuning strategy.



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

Classes
~~~~~~~

.. autoapisummary::

   neural_compressor.strategy.mse_v2.MSE_V2TuneStrategy




.. py:class:: MSE_V2TuneStrategy(model, conf, q_dataloader=None, q_func=None, eval_func=None, eval_dataloader=None, eval_metric=None, resume=None, q_hooks=None)




   The `mse_v2` tuning strategy.

   MSE_v2 is a strategy with a two stages fallback and revert fallback.
   Note that, only tensorflow framework and pytorch FX backend is currently supported for mse_v2
   tuning strategy.