{“错误":“服务签名名称:" serving_default"；在签名def中找不到" } [英] { "error": "Serving signature name: "serving_default" not found in signature def" }

问题描述

我使用GCP(谷歌云平台)来训练我的模型，并且可以导出导出的模型.我使用了该模型并使用了Tensorflow服务1.8 CPU的本地docker镜像，我得到了以下结果作为REST调用的输出 { 错误":在签名定义中找不到服务签名名称:\" serving_default \ }

I used GCP(google cloud platform) to train my model and I could export the exported model. I used the model and used a local docker image of Tensorflow serving 1.8 CPU and i get the following result as output for REST post call { "error": "Serving signature name: \"serving_default\" not found in signature def" }

推荐答案

使用SavedModelCLI命令查看模型的SignatureDef，如下所示:

View the SignatureDefs of your model using SavedModelCLI command as shown below:

saved_model_cli show --dir /usr/local/google/home/abc/serving/tensorflow_serving/servables/tensorflow/testdata/saved_model_half_plus_three/00000123

它应该显示如下所示的内容:

It should show something like shown below:

signature_def['Classify']:
  The given SavedModel SignatureDef contains the following input(s):
    inputs['inputs'] tensor_info:
        dtype: DT_STRING
        shape: unknown_rank
        name: tf_example:0
  The given SavedModel SignatureDef contains the following output(s):
    outputs['outputs'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1, 1)
        name: y2:0
  Method name is: tensorflow/serving/regress

signature_def['serving_default']:
  The given SavedModel SignatureDef contains the following input(s):
    inputs['x'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1, 1)
        name: x:0
  The given SavedModel SignatureDef contains the following output(s):
    outputs['y'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1, 1)
        name: y:0
  Method name is: tensorflow/serving/predict

检查是否可以在上面的签名定义中看到名为serving_default的签名.

Check if you can see the Signature named serving_default in the above Signature Definitions.

根据我的理解，很可能该签名丢失了，因此会导致错误.

Most probably, as per my understanding, that signature is missing and hence it is resulting in Error.

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