尝试只用CPU时报错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.

[yunmengjiangnan]

我尝试运行
python fishing.py image -f yolox/exp/yolox_tiny_fish.py -c weights/best_tiny3.pth --conf 0.25 --nms 0.45 --tsize 640 --device cpu
时报错
Traceback (most recent call last):
File "fishing.py", line 189, in
main(exp, args)
File "fishing.py", line 143, in main
agent.load_state_dict(torch.load(args.model_dir))
File "C:\Users\34703.conda\envs\ysfish\lib\site-packages\torch\serialization.py", line 594, in load
return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args)
File "C:\Users\34703.conda\envs\ysfish\lib\site-packages\torch\serialization.py", line 853, in _load
result = unpickler.load()
File "C:\Users\34703.conda\envs\ysfish\lib\site-packages\torch\serialization.py", line 845, in persistent_load
load_tensor(data_type, size, key, _maybe_decode_ascii(location))
File "C:\Users\34703.conda\envs\ysfish\lib\site-packages\torch\serialization.py", line 834, in load_tensor
loaded_storages[key] = restore_location(storage, location)
File "C:\Users\34703.conda\envs\ysfish\lib\site-packages\torch\serialization.py", line 175, in default_restore_location
result = fn(storage, location)
File "C:\Users\34703.conda\envs\ysfish\lib\site-packages\torch\serialization.py", line 151, in _cuda_deserialize
device = validate_cuda_device(location)
File "C:\Users\34703.conda\envs\ysfish\lib\site-packages\torch\serialization.py", line 135, 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.

尝试根据报错将fishing.py的115行改为ckpt = torch.load(ckpt_file, map_location=torch.device('cpu'))
仍出现此报错

[IrisRainbowNeko]

agent.load_state_dict(torch.load(args.model_dir))这一行也需要修改，agent.load_state_dict(torch.load(args.model_dir, map_location=torch.device('cpu')))