How to get know the tensorflow-serving URL?-CodePudding

I created a Dockerfile for tensorflow-serving as follows:

FROM tensorflow/serving

COPY /model_dir /models/model/

and I docker-compose it this way

  tensorflow-servings:
    container_name: tfserving_classifier
    build: ./some_model_dir
    ports:
      - 8501:8501

In the tensorflow-container, the model is located in /models/model/1

Here is how I tried to serve it

# server URL
url = 'http://localhost:8501/v1/models/model/1:predict'


def make_prediction(instances):
    data = json.dumps({"signature_name": "serving_default", "instances": instances.tolist()})
    headers = {"content-type": "application/json"}
    json_response = requests.post(url, data=data, headers=headers)
    predictions = json.loads(json_response.text)['predictions']
    return predictions

Here is the python code container message:

requests.exceptions.ConnectionError: HTTPConnectionPool(host='localhost', port=8501): Max retries exceeded with url: /v1/models/model/1:predict (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7f315c19c4c0>: Failed to establish a new connection: [Errno 111] Connection refused'))

I believe this is due to incorrect URL, how can I get the correct URL for my tensorflow-serving?

Here is the tensorflow-serving container message:

I tensorflow_serving/model_servers/server.cc:393] Running gRPC ModelServer at 0.0.0.0:8500 ...

I tensorflow_serving/model_servers/server.cc:414] Exporting HTTP/REST API at:localhost:8501 ...

CodePudding user response：

localhost only reaches inside the container, use service name or container name of tensorflow to reach it from the script container

http://tensorflow-servings:8501/v1/models/model/1:predict