net.py 文件源码

def __setstate__(self, state):
        disable_cuda = False
        for key in self.cuda_dependent_attributes_:
            if key not in state:
                continue
            dump = state.pop(key)
            with tempfile.SpooledTemporaryFile() as f:
                f.write(dump)
                f.seek(0)
                if state['use_cuda'] and not torch.cuda.is_available():
                    disable_cuda = True
                    val = torch.load(
                        f, map_location=lambda storage, loc: storage)
                else:
                    val = torch.load(f)
            state[key] = val
        if disable_cuda:
            warnings.warn(
                "Model configured to use CUDA but no CUDA devices "
                "available. Loading on CPU instead.",
                DeviceWarning)
            state['use_cuda'] = False

        self.__dict__.update(state)