code: def test_tensor_item(self):
      def test_scalar_cast(x):
          scalar = x.item()
          return int(scalar), float(scalar)
  
      graph = torch.jit.script(test_scalar_cast).graph
      FileCheck().check("(int, float) = prim::TupleConstruct").run(
          graph
      )
      self.checkScript(test_scalar_cast, (torch.tensor(1.0),))
      self.checkScript(test_scalar_cast, (torch.tensor(1),))
  
imports: import os
  import sys
  import inspect
  import unittest
  from typing import Dict, List
  import torch
  from torch.testing import FileCheck
  from torch.testing._internal.jit_utils import JitTestCase, RUN_CUDA
label_desc: Use image node_id 4 for calling the TestTensorBuiltins obj's underlying member method code with example usage: obj.test_tensor_item() and returns: int,  float