parameters: (self)
return_statement: return self.strategy.adaptive_localsgd
docstring: Indicating whether we are using Adaptive Local SGD training. Default Value: False
          For more details, please refer to `Adaptive Communication Strategies to Achieve 
          the Best Error-Runtime Trade-off in Local-Update SGD <https://arxiv.org/pdf/1810.08313.pdf>`_.
  
  
          Examples:
  
            .. code-block:: python
  
              import paddle.distributed.fleet as fleet
              strategy = fleet.DistributedStrategy()
              strategy.adaptive_localsgd = True # by default this is false
docstring_summary: Indicating whether we are using Adaptive Local SGD training. Default Value: False
          For more details, please refer to `Adaptive Communication Strategies to Achieve 
          the Best Error-Runtime Trade-off in Local-Update SGD <https://arxiv.org/pdf/1810.08313.pdf>`_.
docstring_tokens: Indicating whether we are using Adaptive Local SGD training . Default Value : False For more details please refer to Adaptive Communication Strategies to Achieve the Best Error - Runtime Trade - off in Local - Update SGD <https : // arxiv . org / pdf / 1810 . 08313 . pdf > _ .
function: def adaptive_localsgd(self):
          """
          Indicating whether we are using Adaptive Local SGD training. Default Value: False
          For more details, please refer to `Adaptive Communication Strategies to Achieve 
          the Best Error-Runtime Trade-off in Local-Update SGD <https://arxiv.org/pdf/1810.08313.pdf>`_.
  
  
          Examples:
  
            .. code-block:: python
  
              import paddle.distributed.fleet as fleet
              strategy = fleet.DistributedStrategy()
              strategy.adaptive_localsgd = True # by default this is false
  
          """
          return self.strategy.adaptive_localsgd
function_tokens: def adaptive_localsgd ( self ) : return self . strategy . adaptive_localsgd