Reputation: 55
I am using tensorflow serving to deploy my model .
my tensorinfo map is
saved_model_cli show --dir /export/1/ --tag_set serve --signature_def serving_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
I am making a curl request
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]}]}'
I want to know where I am going wrong in passing data. what should be the request json format.
This particular model is a multi feature model , which takes three strings as input and than gives one string as output.
Upvotes: 5
Views: 3721
Reputation: 473
You are passing your input in row format, so if you replace "inputs" to "instances" everything should work fine, See here for the difference between row and columnar format
Upvotes: 7