code: def test_tuple_slicing(self):
      def tuple_slice(a):
          if bool(a):
              b = (1, 2, 3, 4)
          else:
              b = (4, 3, 2, 1)
          c = b[-4:4]
          e = c[1:-1]
          return e
  
      self.checkScript(tuple_slice, (torch.tensor([1]),), optimize=True)
      scripted_fn = torch.jit.script(tuple_slice)
      self.assertEqual(scripted_fn(torch.tensor(1)), (2, 3))
      tuple_graph = scripted_fn.graph
      slices = tuple_graph.findAllNodes("prim::TupleConstruct")
      num_outputs = {len(x.output().type().elements()) for x in slices}
      # there should be only one tupleSlice with length of 2
      self.assertTrue(num_outputs == {2})
      self.run_pass("lower_all_tuples", tuple_graph)
      self.assertTrue("Tuple" not in str(tuple_graph))
  
imports: import os
  import sys
  import torch
  from typing import List
  from torch.testing._internal.jit_utils import JitTestCase
label_desc: Use image node_id 17 for calling the TestSlice obj's underlying member method code with example usage: obj.test_tuple_slicing() and returns: e