code: def test_set_module_tensor_sets_dtype(self):
      model = ModelForTest()
      set_module_tensor_to_device(
          model,
          "linear1.weight",
          "cpu",
          value=model.linear1.weight,
          dtype=torch.float16,
      )
      self.assertEqual(model.linear1.weight.dtype, torch.float16)
  
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 6 for calling the ModelingUtilsTester obj's underlying member method code with example usage: obj.test_set_module_tensor_sets_dtype() without return types