code: def test_tuple():
      ttype = relay.TupleType(
          [relay.TensorType((1,)), relay.TensorType((10,))]
      )
      tup = relay.var("tup", type_annotation=ttype)
      f = relay.Function([tup], relay.TupleGetItem(tup, 1))
      i_data = np.random.rand(41).astype("float32")
      j_data = np.random.rand(10).astype("float32")
  
      result = get_serialized_output(f, (i_data, j_data))
      tvm.testing.assert_allclose(result.numpy(), j_data)
  
imports: import pytest
  import numpy
  import tvm
  from tvm.runtime import vm
  from tvm.relay import vm
  from tvm import relay
  from tvm.relay.scope_builder import ScopeBuilder
  from tvm.relay import transform
  from tvm.relay.prelude import Prelude
  from tvm.contrib import utils
  from tvm.relay import testing
label_desc: Use image node_id 9 for calling a global function with example usage: test_tuple() without return types