本人paddle小白一枚，paddle官方学习平台的情感推荐代码案例，我完全按照里面的操作，但是在训练好模型以后，在测试的时候，使用exe.run的feed喂入数据以后，显示表格的数据错误，卡了两天了，百思不得其解，求大神解答一下

错误代码如下：

infer_movie_id = 783
infer_movie_name = paddle.dataset.movielens.movie_info()[infer_movie_id].title
user_id = fluid.create_lod_tensor([[1]], [[1]], place)
gender_id = fluid.create_lod_tensor([[1]], [[1]], place)
age_id = fluid.create_lod_tensor([[0]], [[1]], place)
job_id = fluid.create_lod_tensor([[10]], [[1]], place)
movie_id = fluid.create_lod_tensor([[783]], [[1]], place) # Hunchback of Notre Dame
category_id = fluid.create_lod_tensor([[10, 8, 9]], [[3]], place) # Animation, Children's, Musical
movie_title = fluid.create_lod_tensor([[1069, 4140, 2923, 710, 988]], [[5]],
place)
place = fluid.CUDAPlace(0) if use_cuda else fluid.CPUPlace()
exe = fluid.Executor(place)

inference_scope = fluid.core.Scope()
with fluid.scope_guard(inference_scope):
[inferencer, feed_target_names,
fetch_targets] = fluid.io.load_inference_model(params_dirname, exe)

results = exe.run(inferencer,
feed={
'user_id': user_id,
'gender_id': gender_id,
'age_id': age_id,
'job_id': job_id,
'movie_id': movie_id,
'category_id': category_id,
'movie_title': movie_title
},
fetch_list=fetch_targets,
return_numpy=False)
predict_rating = np.array(results[0])

报错如下

paddle.fluid.core_avx.EnforceNotMet: Invoke operator lookup_table error.

C++ Callstacks:
Tensor holds the wrong type, it holds int, but desires to be int64_t at [E:\release_cuda87\paddle\paddle/fluid/framework/tensor_impl.h:30]
PaddlePaddle Call Stacks:
Windows not support stack backtrace yet.