code: def test_scalar_to_num_conversions(self):
      @torch.jit.script
      def multiple_defs(x):
          c = 1
          x = x + c
          return x
  
      self.assertTrue(
          "ImplicitTensorToNum" not in str(multiple_defs.graph)
      )
  
      @torch.jit.script
      def tensor_to_int_script(x, tensor):
          return x.unsqueeze(tensor)
  
      # location present in error message
      with self.assertRaisesRegex(RuntimeError, "x.unsqueeze"):
          tensor_to_int_script(torch.tensor([2]), torch.tensor([2, 2]))
  
      def tensor_to_int(x, tensor):
          return x.unsqueeze(tensor)
  
      @torch.jit.script
      def tensor_to_float_script(x, tensor):
          return x.addcmul(tensor, tensor, value=tensor)
  
      def tensor_to_float(x, tensor):
          return x.addcmul(tensor, tensor, value=tensor)
  
      x = torch.zeros(10)
      # float tensor, float tensor with grad, int tensor (can't set grad on int tensor)
      tensors = [
          torch.tensor(1.1),
          torch.tensor(1.1, requires_grad=True),
          torch.tensor(0),
          torch.tensor([2]),
      ]
  
      script_funs = [tensor_to_int_script, tensor_to_float_script]
      funs = [tensor_to_int, tensor_to_float]
  
      # return the result, or whether exception was thrown
      def test_func(func, x, tensor):
          try:
              result = func(x, tensor)
          except RuntimeError as e:
              result = True
          except TypeError as e:
              result = True
          return result
  
      # assert result or exception equal for each (function, inputs)
      for tensor in tensors:
          for i in range(len(script_funs)):
              self.assertEqual(
                  test_func(script_funs[i], x, tensor),
                  test_func(funs[i], x, tensor),
              )
  
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 6 for calling the TestTensorBuiltins obj's underlying member method code with example usage: obj.test_scalar_to_num_conversions() and returns: x, x, x, x, x, result