parameters: (global_model, local_model=None)
docstring: Checkpoint the model.
  
      This means we finished a stage of execution.
      Every time we call check point, there is a version number which will increase by one.
  
      Parameters
      ----------
      global_model: anytype that can be pickled
          globally shared model/state when calling this function,
          the caller need to gauranttees that global_model is the same in all nodes
  
      local_model: anytype that can be pickled
         Local model, that is specific to current node/rank.
         This can be None when no local state is needed.
  
      Notes
      -----
      local_model requires explicit replication of the model for fault-tolerance.
      This will bring replication cost in checkpoint function.
      while global_model do not need explicit replication.
      It is recommended to use global_model if possible.
docstring_summary: Checkpoint the model.
docstring_tokens: Checkpoint the model .
function: def checkpoint(global_model, local_model=None):
      """Checkpoint the model.
  
      This means we finished a stage of execution.
      Every time we call check point, there is a version number which will increase by one.
  
      Parameters
      ----------
      global_model: anytype that can be pickled
          globally shared model/state when calling this function,
          the caller need to gauranttees that global_model is the same in all nodes
  
      local_model: anytype that can be pickled
         Local model, that is specific to current node/rank.
         This can be None when no local state is needed.
  
      Notes
      -----
      local_model requires explicit replication of the model for fault-tolerance.
      This will bring replication cost in checkpoint function.
      while global_model do not need explicit replication.
      It is recommended to use global_model if possible.
      """
      sglobal = pickle.dumps(global_model)
      if local_model is None:
          _LIB.RabitCheckPoint(sglobal, len(sglobal), None, 0)
          del sglobal
      else:
          slocal = pickle.dumps(local_model)
          _LIB.RabitCheckPoint(sglobal, len(sglobal), slocal, len(slocal))
          del slocal
          del sglobal
function_tokens: def checkpoint ( global_model , local_model = None ) : sglobal = pickle . dumps ( global_model ) if local_model is None : _LIB . RabitCheckPoint ( sglobal , len ( sglobal ) , None , 0 ) del sglobal else : slocal = pickle . dumps ( local_model ) _LIB . RabitCheckPoint ( sglobal , len ( sglobal ) , slocal , len ( slocal ) ) del slocal del sglobal