class_docstr: A basic helper class to handle all-reduce operations of gradients across different parallel groups
  before optimization.
  
  Args:
      model (Module): Model where the gradients accumulate.
      optimizer (Optimizer): Optimizer for updating the parameters.
class_docstr_tok: ["A","basic","helper","class","to","handle","all-reduce","operations","of","gradients","across","different","parallel","groups","before","optimization",".","Args",":","model","(","Module",")",":","Model","where","the","gradients","accumulate",".","optimizer","(","Optimizer",")",":","Optimizer","for","updating","the","parameters","."]
code: def __init__(self, model, optimizer):
      self._model = model
      self._optimizer = optimizer
  
imports: from abc import ABC, abstractmethod
label_desc: Use image node_id 1 to create a new BaseGradientHandler object from inherited base classes: ABC with example: obj = BaseGradientHandler(model, optimizer)