test script support multi platform

[JamesBonddu]

mac mini m4 does not support test script infer

  File "/Volumes/JSDuData/AI/光学生成模型/Optical-Generative-models/test_example_mnist.py", line 359, in main
    checkpoint = torch.load(config.ckpt_to_load, weights_only=True)
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/jsdu/miniconda3/envs/optical-generative-models/lib/python3.11/site-packages/torch/serialization.py", line 1521, in load
    return _load(
           ^^^^^^
  File "/Users/jsdu/miniconda3/envs/optical-generative-models/lib/python3.11/site-packages/torch/serialization.py", line 2119, in _load
    result = unpickler.load()
             ^^^^^^^^^^^^^^^^
  File "/Users/jsdu/miniconda3/envs/optical-generative-models/lib/python3.11/site-packages/torch/_weights_only_unpickler.py", line 532, in load
    self.append(self.persistent_load(pid))
                ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/jsdu/miniconda3/envs/optical-generative-models/lib/python3.11/site-packages/torch/serialization.py", line 2083, in persistent_load
    typed_storage = load_tensor(
                    ^^^^^^^^^^^^
  File "/Users/jsdu/miniconda3/envs/optical-generative-models/lib/python3.11/site-packages/torch/serialization.py", line 2049, in load_tensor
    wrap_storage = restore_location(storage, location)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/jsdu/miniconda3/envs/optical-generative-models/lib/python3.11/site-packages/torch/serialization.py", line 698, in default_restore_location
    result = fn(storage, location)
             ^^^^^^^^^^^^^^^^^^^^^
  File "/Users/jsdu/miniconda3/envs/optical-generative-models/lib/python3.11/site-packages/torch/serialization.py", line 636, in _deserialize
    device = _validate_device(location, backend_name)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/jsdu/miniconda3/envs/optical-generative-models/lib/python3.11/site-packages/torch/serialization.py", line 605, in _validate_device
    raise RuntimeError(
RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.