code: def test_reduce_scatter_tensor_coalesced(self) -> None:
      self._init_process_group()
  
      inputs = [
          torch.tensor(self.ranks, device=self.device) * i
          for i in range(10)
      ]
      outputs = (
          torch.ops._c10d_functional.reduce_scatter_tensor_coalesced(
              inputs,
              "avg",
              self.world_size,
              "default",
          )
      )
      for i, output in enumerate(outputs):
          output = torch.ops._c10d_functional.wait_tensor(output)
          assert output.eq(self.rank * i).all()
  
imports: import unittest
  from typing import List
  import torch
  import torch.distributed
  from torch._C import FileCheck
  from torch._dynamo.utils import same
  from torch._inductor.utils import fresh_inductor_cache, run_and_get_triton_code
  from torch.testing._internal.common_distributed import MultiProcessTestCase, requires_nccl, skip_if_lt_x_gpu
  from torch.testing._internal.common_utils import run_tests
  from torch.utils._triton import has_triton
  import sys
label_desc: Use image node_id 13 for calling the C10DFunctionalNativeTest obj's underlying member method code with example usage: obj.test_reduce_scatter_tensor_coalesced() without return types