paddlepaddle 1.8.0 python3.7

预测时报错：
c:\temp\classify>python infer.py
C:\Users\eashow\AppData\Local\Programs\Python\Python37\lib\site-packages\paddle\fluid\executor.py:1093: UserWarning: There are no operators in the program to be executed. If you pass Program manually, please use fluid.program_guard to ensure the current Program is being used.
warnings.warn(error_info)
C:\Users\eashow\AppData\Local\Programs\Python\Python37\lib\site-packages\paddle\fluid\executor.py:1070: UserWarning: The following exception is not an EOF exception.
"The following exception is not an EOF exception.")
Traceback (most recent call last):
File "infer.py", line 53, in
fetch_list=target_var)
File "C:\Users\eashow\AppData\Local\Programs\Python\Python37\lib\site-packages\paddle\fluid\executor.py", line 1071, in run
six.reraise(*sys.exc_info())
File "C:\Users\eashow\AppData\Local\Programs\Python\Python37\lib\site-packages\six.py", line 703, in reraise
raise value
File "C:\Users\eashow\AppData\Local\Programs\Python\Python37\lib\site-packages\paddle\fluid\executor.py", line 1066, in run
return_merged=return_merged)
File "C:\Users\eashow\AppData\Local\Programs\Python\Python37\lib\site-packages\paddle\fluid\executor.py", line 1154, in _run_impl
use_program_cache=use_program_cache)
File "C:\Users\eashow\AppData\Local\Programs\Python\Python37\lib\site-packages\paddle\fluid\executor.py", line 1229, in _run_program
fetch_var_name)
paddle.fluid.core_avx.EnforceNotMet:

C++ Call Stacks (More useful to developers):

Windows not support stack backtrace yet.

Python Call Stacks (More useful to users):

File "C:\Users\eashow\AppData\Local\Programs\Python\Python37\lib\site-packages\paddle\fluid\framework.py", line 2610, in append_op
attrs=kwargs.get("attrs", None))
File "C:\Users\eashow\AppData\Local\Programs\Python\Python37\lib\site-packages\paddle\fluid\layer_helper.py", line 43, in append_op
return self.main_program.current_block().append_op(*args,**kwargs)
File "C:\Users\eashow\AppData\Local\Programs\Python\Python37\lib\site-packages\paddle\fluid\layers\nn.py", line 1873, in embedding
'padding_idx': padding_idx
File "drill.py", line 43, in CNN_net
size=[dict_dim, emb_dim])
File "drill.py", line 76, in
model = CNN_net(words, dict_dim)

Error Message Summary:

InvalidArgumentError: Tensor holds the wrong type, it holds int, but desires to be int64_t.
[Hint: Expected valid == true, but received valid:0 != true:1.] at (D:\1.8.0cpu\paddle\paddle/fluid/framework/tensor_impl.h:33)
[operator < lookup_table > error]

原代码如下：import os
from multiprocessing import cpu_count
import numpy as np
import shutil
import paddle
import paddle.fluid as fluid

用训练好的模型进行预测并输出预测结果

创建执行器

place = fluid.CPUPlace()
exe = fluid.Executor(place)
exe.run(fluid.default_startup_program())

save_path = 'data/infer_model/'

从模型中获取预测程序、输入数据名称列表、分类器

[infer_program, feeded_var_names, target_var] = fluid.io.load_inference_model(dirname=save_path, executor=exe)

获取数据

def get_data(sentence):

读取数据字典

with open('data/dict_txt.txt', 'r', encoding='utf-8') as f_data:
dict_txt = eval(f_data.readlines()[0])
dict_txt = dict(dict_txt)

把字符串数据转换成列表数据

keys = dict_txt.keys()
data = []
for s in sentence:

判断是否存在未知字符

if not s in keys:
s = ''
data.append(int(dict_txt[s]))
return data

data = []

获取图片数据

data1 = get_data('在获得诺贝尔文学奖7年之后，莫言15日晚间在山西汾阳贾家庄如是说')
data2 = get_data('综合“今日美国”、《世界日报》等当地媒体报道，芝加哥河滨警察局表示，')
data.append(data1)
data.append(data2)

获取每句话的单词数量

base_shape = len(c) for c in data

生成预测数据

tensor_words = fluid.create_lod_tensor(data, base_shape, place)

执行预测

result = exe.run(program=infer_program,
feed={feeded_var_names[0]: tensor_words},
fetch_list=target_var)

分类名称

names = [ '文化', '娱乐', '体育', '财经','房产', '汽车', '教育', '科技', '国际', '证券']

获取结果概率最大的label

for i in range(len(data)):
lab = np.argsort(result)[0][i][-1]
print('预测结果标签为：%d， 名称为：%s， 概率为：%f' % (lab, names[lab], result[0][i][lab]))