不同的signature_def输入键与tensorflow DDNClassifier导出模型

Question

我正在关注this快速入门指南。我的模型已经过培训，我添加了以下代码片段来导出模型

export_path_base = sys.argv[-1]
export_path = os.path.join("export",export_path_base)

INPUT_TENSOR_NAME = 'x'

def serving_input_receiver_fn():
feature_spec = {INPUT_TENSOR_NAME: tf.FixedLenFeature(dtype=tf.float32, shape=[6])}
return tf.estimator.export.build_parsing_serving_input_receiver_fn(feature_spec)()

classifier.export_savedmodel(export_path, serving_input_receiver_fn)

print('model is exported')

这样我的模型就可以正确导出而不会出现任何错误。但是，当我尝试使用以下命令验证我的模型时

saved_model_cli show --dir export\estimator_one\1508656267 --tag_set serve --signature_def serving_default

它没有显示任何名为'x'的输入，而是显示以下列表

The given SavedModel SignatureDef contains the following input(s):
inputs['inputs'] tensor_info:
    dtype: DT_STRING
    shape: (-1)
    name: input_example_tensor:0
The given SavedModel SignatureDef contains the following output(s):
outputs['classes'] tensor_info:
    dtype: DT_STRING
    shape: (-1, 3)
    name: dnn/head/Tile:0
outputs['scores'] tensor_info:
    dtype: DT_FLOAT
    shape: (-1, 3)
    name: dnn/head/predictions/probabilities:0
Method name is: tensorflow/serving/classify 

我在这里做错了什么或遗失了吗？有人可以指出。