code: def test_builtin_functions_on_cuda(self):
      def fn(x, scaler):
          m = torch.nn.ReLU()
          y = m(x) * scaler
          return y
  
      x = torch.randn([3, 6], device="cuda")
      scaler = 0.23  # 0.23 is unspecialized
      ref = fn(x, scaler)
      cnts = torch._dynamo.testing.CompileCounter()
      opt_fn = torch._dynamo.optimize(cnts)(fn)
      res = opt_fn(x, scaler)
      self.assertTrue(same(ref, res))
      self.assertEqual(ref.device, res.device)
  
imports: import math
  import random
  import unittest
  import numpy
  import torch
  import torch._dynamo.test_case
  import torch._dynamo.testing
  import torch.nn.functional
  from torch._dynamo.comptime import comptime
  from torch._dynamo.testing import CompileCounter, same
label_desc: Use image node_id 12 for calling the UnspecTests obj's underlying member method code with example usage: obj.test_builtin_functions_on_cuda() and returns: y