code: def inference_all_reduce(
      self, tensor, op=ReduceOp.SUM, group=None, async_op=False
  ):
      return self.run_collective(
          name="inference_all_reduce",
          tensor=tensor,
          op=op,
          group=group,
          async_op=async_op,
      )
  
imports: import torch
  from deepspeed.accelerator import get_accelerator
  from .reduce_op import ReduceOp
  from .torch import TorchBackend
label_desc: Use image node_id 5 for calling the CCLBackend obj's underlying member method code with example usage: obj.inference_all_reduce(tensor, op, group, async_op) and returns: self