code: def test(self):
      x = torch.ones(1, 3).to(get_accelerator().device_name()) * (
          dist.get_rank() + 1
      )
      sum_of_ranks = (
          dist.get_world_size() * (dist.get_world_size() + 1)
      ) // 2
      result = (
          torch.ones(1, 3).to(get_accelerator().device_name())
          * sum_of_ranks
      )
      dist.inference_all_reduce(x)
      assert torch.all(x == result)
  
imports: import os
  import torch
  import deepspeed.comm
  import deepspeed
  from unit.common import DistributedTest, DistributedFixture, get_master_port
  from unit.simple_model import SimpleModel
  from deepspeed.accelerator import get_accelerator
  import pytest
  from deepspeed.ops.op_builder import FusedAdamBuilder
label_desc: Use image node_id 1 for calling the TestDistInferenceAllReduce obj's underlying member method code with example usage: obj.test() without return types