Tensor is not an element of this graph; deploying Keras model

Question

Im deploying a keras model and sending the test data to the model via a flask api. I have two files:

First: My Flask App:

# Let\'s startup the Flask          


        

Answer 1

It turns out this way does not need a clear_session call and is at the same time configuration friendly, using the graph object from configured session session = tf.Session(config=_config); self.graph = session.graph and the prediction by the created graph as default with self.graph.as_default(): offers a clean approach

from keras.backend.tensorflow_backend import set_session
...
def __init__(self):
    config = self.keras_resource()
    self.init_model(config)

def init_model(self, _config, *args):
    session = tf.Session(config=_config)
    self.graph = session.graph
    #set configured session 
    set_session(session)
    self.model = load_model(file_path)

def keras_resource(self):
    config = tf.ConfigProto()
    config.gpu_options.allow_growth = True
    return config

def predict_target(self, to_predict):
    with self.graph.as_default():
        predict = self.model.predict(to_predict)
    return predict