code: def test_out_dtype_mul_scalar_numerical(self):
      def f(x, y):
          return out_dtype(torch.ops.aten.mul.Scalar, torch.int32, x, y)
  
      inp = (torch.randint(-128, 127, (5, 5), dtype=torch.int8), 3.0)
  
      gm = make_fx(f)(*inp)
      numerical_res = torch.ops.aten.mul.Scalar(
          inp[0].to(dtype=torch.int32), 3
      )
      self.assertTrue(torch.allclose(numerical_res, gm(*inp)))
  
imports: import unittest
  import torch
  import torch._dynamo
  import torch._inductor
  import torch._inductor.decomposition
  import torch._export
  from torch._higher_order_ops.out_dtype import out_dtype
  from torch.fx.experimental.proxy_tensor import make_fx
  from torch.testing._internal.common_utils import run_tests, TestCase, IS_WINDOWS, TEST_WITH_ROCM, IS_FBCODE, IS_REMOTE_GPU, TEST_CUDA
  from torch.testing._internal.common_quantization import skipIfNoDynamoSupport
  from torch.testing import FileCheck
  from torch.testing._internal.common_cuda import SM80OrLater, _get_torch_cuda_version
label_desc: Use image node_id 5 for calling the TestOutDtypeOp obj's underlying member method code with example usage: obj.test_out_dtype_mul_scalar_numerical() and returns: out_dtype