class_docstr: BytePS backend for MXNet KVStore interface.
docstr: Not Implement yet.
  
  Parameters
  ----------
  fname : str
      Path to the output states file.
  dump_optimizer : bool, default False
      Whether to also save the optimizer itself. This would also save optimizer
      information such as learning rate and weight decay schedules.
docstr_tok: ["Not","Implement","yet",".","Parameters","--","--","--","--","--","fname",":","str","Path","to","the","output","states","file",".","dump_optimizer",":","bool",",","default","False","Whether","to","also","save","the","optimizer","itself",".","This","would","also","save","optimizer","information","such","as","learning","rate","and","weight","decay","schedules","."]
code: def save_optimizer_states(self, fname, dump_optimizer=False):
      """
      Not Implement yet.
  
      Parameters
      ----------
      fname : str
          Path to the output states file.
      dump_optimizer : bool, default False
          Whether to also save the optimizer itself. This would also save optimizer
          information such as learning rate and weight decay schedules.
      """
      raise NotImplementedError()
  
file_path: mxnet/python/mxnet/kvstore/byteps.py
imports: from __future__ import absolute_import
  from ..ndarray import NDArray
  from .base import KVStoreBase
label_desc: Use image node_id 10 for calling the BytePS obj's underlying member method code with example usage: obj.save_optimizer_states(fname, dump_optimizer) without return types