code: def set_python_tensors_requires_grad(python_tensors):
      return [
          tensor.requires_grad_(True)
          if tensor.dtype != torch.long
          else tensor
          for tensor in python_tensors
      ]
  
imports: from collections import namedtuple
  import unittest
  import os
  import warnings
  import shutil
  import torch
  import torch.utils.cpp_extension
  import torch.testing._internal.common_nn
  from torch.testing._internal.common_cuda import TEST_CUDA
label_desc: Use image node_id 5 for calling a global function with example usage: set_python_tensors_requires_grad(python_tensors) and returns: unknown