code: def output_fn(outputs, device_mesh):
      assert isinstance(outputs, DTensor)
      return outputs.redistribute(
          placements=[Replicate()] * device_mesh.ndim
      ).to_local()
  
file_path: pytorch/test/distributed/_tensor/test_optimizers.py
imports: from copy import deepcopy
  import torch
  import torch.nn
  from torch.distributed._tensor import DeviceMesh, distribute_module, distribute_tensor, DTensor, Replicate, Shard
  from torch.testing._internal.common_utils import run_tests
  from torch.testing._internal.distributed._tensor.common_dtensor import DTensorTestBase, MLPModule, with_comms
label_desc: Use image node_id 3 for calling a global function with example usage: output_fn(outputs, device_mesh) and returns: outputs