class_docstr: Run correctness checks in multi-proc runner, mark with minimum # GPUs to run under
code: def test_eager_allreduce_inductor_wait(self):
      def eager_func(a, b, c, d, *, tag, ranks, group_size):
          x = torch.matmul(a, b)
          y = torch.matmul(c, d)
          z = torch.cat((x, y))
          ar = torch.ops.c10d_functional.all_reduce(
              z, "sum", tag, ranks, group_size
          )
          return ar
  
      def inductor_func(ar, e, f):
          g = torch.matmul(e, f)
          ar = torch.ops.c10d_functional.wait_tensor(ar)
          out = torch.add(ar, g.repeat(2, 1))
          return (out,)
  
      def compile(func, example_inputs):
          graph = make_fx(func)(*example_inputs)
          return inductor_compile_fx(graph, example_inputs)
  
      with _dynamo_dist_per_rank_init(self.rank, self.world_size):
          eager_func = functools.partial(
              eager_func,
              **self.get_world_trs(),
          )
          eager_inputs = (
              torch.ones(4, 4, device="cuda") + self.rank,
          ) * 4
          inductor_inputs = (
              torch.ones(4, 4, device="cuda") + self.rank,
          ) * 2
  
          eager_out = inductor_func(
              eager_func(*eager_inputs), *inductor_inputs
          )
          compiled_inductor_func = compile(
              inductor_func,
              [eager_func(*eager_inputs)] + list(inductor_inputs),
          )
          inductor_out = compiled_inductor_func(
              eager_func(*eager_inputs), *inductor_inputs
          )
          print(f"eager_out, {eager_out}")
          print(f"inductor_out, {inductor_out}")
          self.assertTrue(same(eager_out, inductor_out, tol=0.001))
  
imports: import functools
  import unittest
  from unittest.mock import patch
  import torch
  from torch._C import FileCheck
  import torch.distributed._functional_collectives
  import torch._dynamo
  import torch._dynamo.test_case
  from torch._dynamo.utils import same
  from torch._dynamo.testing import CompileCounter
  from torch.distributed.distributed_c10d import GroupMember
  from torch.fx.experimental.proxy_tensor import make_fx
  from torch.testing._internal.common_distributed import DynamoDistributedSingleProcTestCase, DynamoDistributedMultiProcTestCase, _dynamo_dist_per_rank_init, requires_nccl, skip_if_lt_x_gpu
  from torch._inductor.compile_fx import compile_fx
  from torch.utils._triton import has_triton
  from torch._inductor.utils import run_and_get_triton_code
  import torch._dynamo.logging
label_desc: Use image node_id 6 for calling the TestCollectivesMultiProc obj's underlying member method code with example usage: obj.test_eager_allreduce_inductor_wait() and returns: ar, out, inductor_compile_fx