code: def test_mark_01_dynamic(self):
      def fn(x):
          return x * 2
  
      x = torch.randn(1)
      torch._dynamo.mark_dynamic(x, 0)
      opt_fn = torch._dynamo.optimize("eager")(fn)
      # This will fail to compile a generic kernel, but we should not
      # complain about it (mark dynamic will try its best but 0/1
      # specialization is allowed)
      opt_fn(x)
  
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 17 for calling the UnspecTests obj's underlying member method code with example usage: obj.test_mark_01_dynamic() and returns: unknown