Is there a demo to run onnx model with multiple input nodes?

I’m not sure about executor class.

However, this method might work on your requirement too. (never run it, but from my guess it should work too)

mod, params = relay.frontend.from_onnx(onnx_model, shape_dict)
func = mod["main"]

target = "llvm"
with tvm.transform.PassContext(opt_level=3):
    lib = relay.build(func, target, params=params)

dev = tvm.cpu(0)
m = graph_executor.GraphModule(lib["default"](dev))

# set input (you can set many input as you want, but you need to know input node name)
m.set_input("data", tvm.nd.array(x.astype(dtype)))

# execute
m.run()

# get outputs
tvm_output = m.get_output(0)