code: def test_function():
      t = relay.TensorType((), "float32")
      x = relay.Var("x", t)
      f = relay.Function([x], x + x)
      d = relay.const(4.0, "float32")
      anf_f = run_opt_pass(f, transform.ToANormalForm())
      assert isinstance(anf_f, relay.Function)
      check_eval(f(d), 8)
      check_eval(anf_f(d), 8)
  
imports: import pytest
  import sys
  import numpy
  import tvm
  import tvm.testing
  from tvm import te
  from tvm import relay
  from tvm.relay.analysis import detect_feature
  from tvm.relay import op, create_executor, transform
  from tvm.relay.prelude import Prelude
  from tvm.relay.testing import count
  from tvm.relay.analysis import Feature
label_desc: Use image node_id 11 for calling a global function with example usage: test_function() without return types