parameters: (self)
return_statement: return self.strategy.fuse_grad_size_in_num
docstring: This based on raw_program_optimizer program and allreduce the num of the fused op
          Examples:
            .. code-block:: python
              import paddle.distributed.fleet as fleet
              strategy = fleet.DistributedStrategy()
              strategy.fuse_grad_size_in_num = 2
docstring_summary: This based on raw_program_optimizer program and allreduce the num of the fused op
          Examples:
            .. code-block:: python
              import paddle.distributed.fleet as fleet
              strategy = fleet.DistributedStrategy()
              strategy.fuse_grad_size_in_num = 2
docstring_tokens: This based on raw_program_optimizer program and allreduce the num of the fused op Examples : .. code - block :: python import paddle . distributed . fleet as fleet strategy = fleet . DistributedStrategy () strategy . fuse_grad_size_in_num = 2
function: def fuse_grad_size_in_num(self):
          """
          This based on raw_program_optimizer program and allreduce the num of the fused op
          Examples:
            .. code-block:: python
              import paddle.distributed.fleet as fleet
              strategy = fleet.DistributedStrategy()
              strategy.fuse_grad_size_in_num = 2
          """
          return self.strategy.fuse_grad_size_in_num
function_tokens: def fuse_grad_size_in_num ( self ) : return self . strategy . fuse_grad_size_in_num