{ "error": "inputs 是一个普通的值/列表，但期望一个对象作为每个 tensorinfo_map 所需的多个输入张量"}

Question

我正在使用 tensorflow 服务来部署我的模型。

我的张量信息图是

saved_model_cli show --dir /export/1/ --tag_set serve --signature_def serve_default

The given SavedModel SignatureDef contains the following input(s):
  inputs['length_0'] tensor_info:
      dtype: DT_INT32
      shape: (-1)
      name: serving_default_length_0:0
  inputs['length_1'] tensor_info:
      dtype: DT_INT32
      shape: (-1)
      name: serving_default_length_1:0
  inputs['length_2'] tensor_info:
      dtype: DT_INT32
      shape: (-1)
      name: serving_default_length_2:0
  inputs['tokens_0'] tensor_info:
      dtype: DT_STRING
      shape: (-1, -1)
      name: serving_default_tokens_0:0
  inputs['tokens_1'] tensor_info:
      dtype: DT_STRING
      shape: (-1, -1)
      name: serving_default_tokens_1:0
  inputs['tokens_2'] tensor_info:
      dtype: DT_STRING
      shape: (-1, -1)
      name: serving_default_tokens_2:0
The given SavedModel SignatureDef contains the following output(s):
  outputs['alignment'] tensor_info:
      dtype: DT_FLOAT
      shape: (-1, 1, -1, -1)
      name: StatefulPartitionedCall_8:0
  outputs['length'] tensor_info:
      dtype: DT_INT32
      shape: (-1, 1)
      name: StatefulPartitionedCall_8:1
  outputs['log_probs'] tensor_info:
      dtype: DT_FLOAT
      shape: (-1, 1)
      name: StatefulPartitionedCall_8:2
  outputs['tokens'] tensor_info:
      dtype: DT_STRING
      shape: (-1, 1, -1)
      name: StatefulPartitionedCall_8:3
Method name is: tensorflow/serving/predict

我正在提出卷曲请求

curl -X POST -i 'http://192.168.1.16:8501/v1/models/export:predict' --data '{ "signature_name":  "serving_default",  "inputs": [{ "tokens_0" :["text text text text text text text text text text"], "length_0": [1], "tokens_1": ["01 01 01 01 01 01 01 01 01 01"], "length_1": [1], "tokens_2": ["4 4 4 1 1 4 4 4 4 4"], "length_2": [1]}]}'

我想知道我在传递数据时哪里出错了。请求json格式应该是什么。

这个特定模型是一个多特征模型，它以三个字符串作为输入，然后给出一个字符串作为输出。

Answer 1

您以行格式传递输入，因此如果将“输入”替换为“实例”，则一切正常，请参阅此处了解行格式和列格式之间的区别