code: def run_relay(graph):
      with testing.disable_span_filling():
          mod, params = from_tensorflow(
              graph.as_graph_def(add_shapes=True)
          )
      with testing.enable_span_filling():
          mod_with_span, _ = relay.frontend.from_tensorflow(
              graph.as_graph_def(add_shapes=True)
          )
      assert ir.structural_equal(mod["main"], mod_with_span["main"])
  
      return relay.create_executor("debug", mod=mod).evaluate()(
          **params
      )
  
imports: import numpy
  from tvm import relay, ir, testing
  from tvm.relay.frontend.tensorflow import from_tensorflow
label_desc: Use image node_id 1 for calling a global function with example usage: run_relay(graph) and returns: relay