code: def output_graph(a, b, c, iters: int):
      s = torch.tensor([[3, 3], [3, 3]])
      k = a + b * c + s
      d: Dict[int, torch.Tensor] = {}
      for i in range(iters):
          d[i] = k + i
      return d
  
imports: import unittest
  from typing import Dict, Optional
  import numpy
  import torch
  from torch import nn
  from torch.testing._internal.common_utils import TestCase, run_tests
  from typing import List
label_desc: Use image node_id 12 for calling a global function with example usage: output_graph(a, b, c, iters) and returns: d