CRNN_Tensorflow: { "error": "Serving signature name: \"serving_default\" not found in signature def" }

@MaybeShewill-CV thank you for your code.

I have error. { “error”: “Serving signature name: "serving_default" not found in signature def” } How can I solve?

----- script -----------

curl -X POST   http://localhost:9001/v1/models/crnn:predict   -H 'cache-control: no-cache'   -H 'content-type: application/json'   -d '{
  "inputs":
    {
    "input": { "b64": "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" }
  }
}'
{ "error": "Serving signature name: \"serving_default\" not found in signature def" }

About this issue

Original URL
State: closed
Created 5 years ago
Comments: 60 (26 by maintainers)

Most upvoted comments

@eldon I will close this issue. Welcome to raise new one:)

MaybeShewill-CV on Jun 29, 2019

I am trying to make tensorflow serving, but I have error, because ‘saved_model’ doesn’t have name for output. https://github.com/tensorflow/serving/issues/1100

But, I can’t change the code. T.T can you help me?

error message.

python tools/test_crnn.py { “error”: “Tensor :0, specified in either feed_devices or fetch_devices was not found in the Graph” }

saved_model_cli show --dir model/crnn_syn90k_saved_model/1/ --all

    MetaGraphDef with tag-set: 'serve' contains the following SignatureDefs:
    signature_def['outputs']:
    The given SavedModel SignatureDef contains the following input(s):
    inputs['input_tensor'] tensor_info:
    dtype: DT_FLOAT
    shape: (1, 32, 100, 3)
    name: input_tensor:0
    The given SavedModel SignatureDef contains the following output(s):
    outputs['prediction'] tensor_info:
    dtype: DT_INT64
    shape: (-1, -1)
    name:
    Method name is: tensorflow/serving/predict

3.test script.

    import cv2
    import numpy as np
    import os
    import base64
    import json
    import requests
    import tensorflow as tf

#image = r"/home/kspook/CRNN_Tensorflow/data/test_images/test_01.jpg"
image = cv2.imread("/home/kspook/CRNN_Tensorflow/data/test_images/test_01.jpg", cv2.IMREAD_COLOR)
image = image.astype(np.float32) / 255
#image = np.array(image, np.float32) / 127.5 - 1.0
#image = np.expand_dims(image, 0)

image = image.tolist()

URL="http://localhost:9001/v1/models/crnn:predict"

headers = {"content-type": "application/json"}
body={
"signature_name": "outputs",
"inputs": [
image
]
}
r= requests.post(URL, data=json.dumps(body), headers = headers)
print(r.text)

kspook on Jun 17, 2019