code: def test__setup_placeholder():
      device = torch.device("cpu")
  
      from ignite.distributed.utils import _model
  
      for t in [torch.rand(2, 3, 4), "abc", 123.45]:
          data = _model._setup_placeholder(t, device, True)
          assert isinstance(data, type(t))
          if isinstance(data, torch.Tensor):
              assert (data == t).all()
          else:
              assert data == t
  
file_path: ignite/tests/ignite/distributed/comp_models/test_base.py
imports: import pytest
  import torch
  from ignite.distributed.comp_models.base import _SerialModel, _torch_version_le_112, ComputationModel
label_desc: Use image node_id 5 for calling a global function with example usage: test__setup_placeholder() without return types