how to use this repo in cpu machine

[Ironman1508]

can someone guide how to use this repo in a cpu machine. I'm facing this error while i'm running on CPU Machine

(lidar) C:\Users\Aravind Giri\Complex-YOLOv3>python test_detection.py --split=sample --folder=sampledata
Namespace(class_path='data/classes.names', conf_thres=0.5, folder='sampledata', img_size=608, model_def='config/complex_tiny_yolov3.cfg', nms_thres=0.5, split='sample', weights_path='checkpoints/tiny-yolov3_ckpt_epoch-220.pth')
Traceback (most recent call last):
File "test_detection.py", line 106, in
model.load_state_dict(torch.load(opt.weights_path))
File "C:\Users\Aravind Giri.conda\envs\lidar\lib\site-packages\torch\serialization.py", line 585, in load
return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
File "C:\Users\Aravind Giri.conda\envs\lidar\lib\site-packages\torch\serialization.py", line 765, in _legacy_load
result = unpickler.load()
File "C:\Users\Aravind Giri.conda\envs\lidar\lib\site-packages\torch\serialization.py", line 721, in persistent_load
deserialized_objects[root_key] = restore_location(obj, location)
File "C:\Users\Aravind Giri.conda\envs\lidar\lib\site-packages\torch\serialization.py", line 174, in default_restore_location
result = fn(storage, location)
File "C:\Users\Aravind Giri.conda\envs\lidar\lib\site-packages\torch\serialization.py", line 150, in _cuda_deserialize
device = validate_cuda_device(location)
File "C:\Users\Aravind Giri.conda\envs\lidar\lib\site-packages\torch\serialization.py", line 134, in validate_cuda_device
raise RuntimeError('Attempting to deserialize object on a CUDA '
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.