pytorch------cpu与gpu load时相互转化 torch.load(map_location=)

pytorch------cpu与gpu load时相互转化 torch.load(map_location=)

将gpu改为cpu时，遇到一个报错：

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='cpu' to map your storages to the CPU.

此时改为：

torch.load("0.9472_0048.weights",map_location='cpu')

就可以解决问题了。

 

方便查阅，整理：</