Αi, SSKJr SSKJr SSKrSSKJr SSKJr \(aSSKJ r SSK J r SSK J r SS KJr \RSS 4S S jjrg) ) annotations) TYPE_CHECKINGN)stream)ReduceOp)Tensor)task)Group) _ReduceOpTcU[R:Xa[RRR 5S:aqUc([R RR5OUnURSUR- 5 [R"U[RUUSS9$[R"XX#SS9$)a Reduce a tensor over all ranks so that all get the result. As shown below, one process is started with a GPU and the data of this process is represented by its group rank. The reduce operator is sum. Through all_reduce operator, each GPU will have the sum of the data from all GPUs. .. image:: https://githubraw.cdn.bcebos.com/PaddlePaddle/docs/develop/docs/api/paddle/distributed/img/allreduce.png :width: 800 :alt: all_reduce :align: center Args: tensor (Tensor): The input Tensor. It also works as the output Tensor. Its data type should be float16, float32, float64, int32, int64, int8, uint8 or bool. op (ReduceOp.SUM|ReduceOp.MAX|ReduceOp.MIN|ReduceOp.PROD|ReduceOp.AVG, optional): The operation used. Default value is ReduceOp.SUM. group (Group|None, optional): The group instance return by new_group or None for global default group. sync_op (bool, optional): Whether this op is a sync op. Default value is True. Returns: Return a task object. Examples: .. code-block:: python >>> # doctest: +REQUIRES(env: DISTRIBUTED) >>> import paddle >>> import paddle.distributed as dist >>> dist.init_parallel_env() >>> if dist.get_rank() == 0: ... data = paddle.to_tensor([[4, 5, 6], [4, 5, 6]]) >>> else: ... data = paddle.to_tensor([[1, 2, 3], [1, 2, 3]]) >>> dist.all_reduce(data) >>> print(data) >>> # [[5, 7, 9], [5, 7, 9]] (2 GPUs) iRg?F)opgroupsync_opuse_calc_stream)rAVGpaddlebasecore nccl_version distributed collective_get_global_groupscale_nranksr all_reduceSUM)tensorr r rs k/var/www/html/banglarbhumi/venv/lib/python3.13/site-packages/paddle/distributed/communication/all_reduce.pyrrsZ X\\fkk..;;=E}    ) ) ; ; =   cELL()  ||!      UU ) rrr r r z Group | Nonerboolreturnr) __future__rtypingrr paddle.distributed.communicationr'paddle.distributed.communication.reducerrpaddle.base.corer&paddle.distributed.communication.groupr r rrrrr(sg# 3<%<A LL > >> > >  >r