common.py 文件源码

def to_gpu(obj, type_map={}):
    if torch.is_tensor(obj):
        t = type_map.get(type(obj), get_gpu_type(type(obj)))
        return obj.clone().type(t)
    elif torch.is_storage(obj):
        return obj.new().resize_(obj.size()).copy_(obj)
    elif isinstance(obj, Variable):
        assert obj.is_leaf
        t = type_map.get(type(obj.data), get_gpu_type(type(obj.data)))
        return Variable(obj.data.clone().type(t), requires_grad=obj.requires_grad)
    elif isinstance(obj, list):
        return [to_gpu(o, type_map) for o in obj]
    elif isinstance(obj, tuple):
        return tuple(to_gpu(o, type_map) for o in obj)
    else:
        return deepcopy(obj)