code: def test_no_recompilations(self):
      # no recompilations if passing on different numpy int values
      def fn(x, y):
          return {"a": x + 1, "b": y / 2}
  
      x = torch.tensor([[1.0, 2.0], [3.0, 4.0]], dtype=torch.float64)
      cnts = torch._dynamo.testing.CompileCounter()
      opt_fn = torch._dynamo.optimize(cnts)(fn)
      for i in range(10):
          opt_fn(x, np.int64(i))
      self.assertEqual(cnts.frame_count, 1)
      self.assertEqual(cnts.op_count, 2)
  
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 2 for calling the UnspecTests obj's underlying member method code with example usage: obj.test_no_recompilations() and returns: dict