code: def test_sum_dimlist_spec(self):
      def fn(inputs, dim):
          return torch.sum(inputs, dim)
  
      inputs = torch.randn(128, 5, 24, 24)
      dim = (-1, 1, 0, 2)
      compl_fn = torch.compile(
          fn, dynamic=True, backend="eager", fullgraph=True
      )
      self.assertEqual(compl_fn(inputs, dim), fn(inputs, dim))
  
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 23 for calling the UnspecTests obj's underlying member method code with example usage: obj.test_sum_dimlist_spec() and returns: torch