code: def test_clamp_raises_arg_errors(self, device):
      X = torch.randn(100, dtype=torch.float, device=device)
      error_msg = "At least one of 'min' or 'max' must not be None"
      with self.assertRaisesRegex(RuntimeError, error_msg):
          X.clamp()
      with self.assertRaisesRegex(RuntimeError, error_msg):
          X.clamp_()
      with self.assertRaisesRegex(RuntimeError, error_msg):
          torch.clamp(X)
  
imports: import torch
  import numpy
  from itertools import product, combinations, permutations, chain
  from functools import partial
  import random
  import warnings
  import unittest
  from torch import nan
  from torch.testing import make_tensor
  from torch.testing._internal.common_utils import TestCase, run_tests, skipIfTorchDynamo, torch_to_numpy_dtype_dict, IS_JETSON
  from torch.testing._internal.common_device_type import instantiate_device_type_tests, onlyCPU, onlyCUDA, dtypes, onlyNativeDeviceTypes, dtypesIfCUDA, largeTensorTest
  from torch.testing._internal.common_dtype import all_types_and_complex_and, all_types, all_types_and
label_desc: Use image node_id 12 for calling the TestShapeOps obj's underlying member method code with example usage: obj.test_clamp_raises_arg_errors(device) without return types