Tensorflow 如何将模型导出为服务格式并将其用于客户端？

我使用和 要导出客户端的服务模型格式。

导出估算器m有四个步骤：

1.定义估计器的特征

2.创建一个功能配置

3.建立一个适用于服务的输出\输入\ fn

4.使用Export_savedmodel（）导出模型

我尝试使用：

*export_dir_base = "./serving_save_model"
feature_spec = {
'times': tf.placeholder(tf.float32, name='times')
}
serving_input_fn = tf.estimator.export.build_parsing_serving_input_receiver_fn(feature_spec)*

estimator.export_savedmodel(export_dir_base, serving_input_fn)

但是我遇到了这样的错误：

Traceback (most recent call last):
File "E:/MyProject/Py/tensorFlow_time_series_predict/train_lstm_multivariate.py", line 231, in 
estimator.export_savedmodel(export_dir_base, serving_input_fn)
File "H:\ProgramFiles\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\estimator\estimator.py", line 504, in export_savedmodel
serving_input_receiver = serving_input_receiver_fn()
File "H:\ProgramFiles\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\estimator\export\export.py", line 142, in serving_input_receiver_fn
features = parsing_ops.parse_example(serialized_tf_example, feature_spec)
File "H:\ProgramFiles\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\ops\parsing_ops.py", line 577, in parse_example
[VarLenFeature, SparseFeature, FixedLenFeature, FixedLenSequenceFeature])
File "H:\ProgramFiles\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\ops\parsing_ops.py", line 291, in _features_to_raw_params
raise ValueError("Invalid feature %s:%s." % (key, feature))
ValueError: Invalid feature times:Tensor("times:0", dtype=float32).

我应该如何正确使用它？

---

非常感谢！

此错误来自FeatureColumn。可以在定义要素列的位置包含代码吗？