code: def test_set_module_tensor_checks_shape(self):
      model = ModelForTest()
      tensor = torch.zeros((2, 2))
      with self.assertRaises(ValueError) as cm:
          set_module_tensor_to_device(
              model, "linear1.weight", "cpu", value=tensor
          )
      self.assertEqual(
          str(cm.exception),
          'Trying to set a tensor of shape torch.Size([2, 2]) in "weight" (which has shape torch.Size([4, 3])), this look incorrect.',
      )
  
imports: import json
  import os
  import tempfile
  import unittest
  from collections import OrderedDict
  import torch
  import torch.nn
  from safetensors.torch import save_file
  from accelerate import init_empty_weights
  from accelerate.test_utils import require_cuda, require_huggingface_suite, require_multi_gpu
  from accelerate.utils.modeling import check_device_map, clean_device_map, compute_module_sizes, convert_file_size_to_int, find_tied_parameters, get_balanced_memory, infer_auto_device_map, load_checkpoint_in_model, load_state_dict, named_module_tensors, retie_parameters, set_module_tensor_to_device
label_desc: Use image node_id 7 for calling the ModelingUtilsTester obj's underlying member method code with example usage: obj.test_set_module_tensor_checks_shape() without return types