parameters: (self)
return_statement: return self.strategy.sync_nccl_allreduce
docstring: Indicating whether we are using synchronized all reduce in each communication thread
          We note that system overhead is usually lower when sync_nccl_allreduce = True
  
          Examples:
  
            .. code-block:: python
  
              import paddle.distributed.fleet as fleet
              strategy = fleet.DistributedStrategy()
              strategy.sync_nccl_allreduce = True
docstring_summary: Indicating whether we are using synchronized all reduce in each communication thread
          We note that system overhead is usually lower when sync_nccl_allreduce = True
docstring_tokens: Indicating whether we are using synchronized all reduce in each communication thread We note that system overhead is usually lower when sync_nccl_allreduce = True
function: def sync_nccl_allreduce(self):
          """
          Indicating whether we are using synchronized all reduce in each communication thread
          We note that system overhead is usually lower when sync_nccl_allreduce = True
  
          Examples:
  
            .. code-block:: python
  
              import paddle.distributed.fleet as fleet
              strategy = fleet.DistributedStrategy()
              strategy.sync_nccl_allreduce = True
          """
          return self.strategy.sync_nccl_allreduce
function_tokens: def sync_nccl_allreduce ( self ) : return self . strategy . sync_nccl_allreduce