{“error”：“inputs是一个普通的值/列表，但需要一个对象作为tensorinfo_map所需的多个输入张量”}

Question

我正在使用tensorflow来部署我的模型。

我的tensorinfo地图是

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

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]}]}'

Answer 1

您是以行格式传递输入，所以如果将“inputs”替换为“instances”，一切都应该很好，请参见这里的行格式和列格式的区别