def METHOD_NAME():
    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