Model {quot；error"；：“服务签名名称：”在签名定义中未找到“服务默认值”}

我使用GCP（谷歌云平台）来训练我的模型，我可以导出导出的模型。我使用了该模型，并使用了Tensorflow的本地docker映像，该映像服务于1.8CPU，我得到以下结果作为REST post调用的输出 { “错误”：“服务签名名称：\“服务\u默认值\”未在签名定义中找到”

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}您是如何导出模型的？

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似乎您已识别自定义签名，但未识别默认值。只需将“默认服务”更改为您的签名即可。

使用

SavedModelCLI

命令查看您模型的SignatureDefs，如下所示：

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

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

它应该显示如下所示的内容：

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

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

检查是否可以在上述签名定义中看到名为

的签名

根据我的理解，最有可能的是，该签名缺失，因此导致错误