code: def _function_graph(TestClass):
      f = TestClass().func
      gdef = f.get_concrete_function().graph.as_graph_def()
      gdef_ops = list(set([n.op for n in gdef.node]))
      input_ = TestClass().get_input()
      output = run_tf_code(f, input_)
      return gdef, input_, output
  
imports: import tempfile
  import tensorflow
  import numpy
  import pytest
  from common import compare_tf_tvm
  from common import run_tf_code
label_desc: Use image node_id 1 for calling a global function with example usage: _function_graph(TestClass) and returns: gdef,  input_,  output