code: def input_fn(inputs, device_mesh):
      # split the input tensor to be sharded input
      dist_inp = distribute_tensor(inputs[0], device_mesh, [Shard(0)])
      return dist_inp
  
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 2 for calling a global function with example usage: input_fn(inputs, device_mesh) and returns: dist_inp