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

Ya their is a bug when you predict from model with keras. Keras will not be able to build graph due to some error. Try to predict images from model with the help of tensor flow. Just replace this line of code

Keras code:

features = model_places.predict( img )

tensorflow code:

import tensorflow as tf

graph = tf.get_default_graph()

import this library in your code and replace.

 with graph.as_default():
    features = model_places.predict( img ).tolist()

If Problem still not solved :

if still problem not solved than try to refresh the graph.

As your code is fine, running with a clean environment should solve it.

Clear keras cache at ~/.keras/

Run on a new environment, with the right packages (can be done easily with anaconda)

Make sure you are on a fresh session, keras.backend.clear_session() should remove all existing tf graphs.

Keras Code:

keras.backend.clear_session()
features = model_places.predict( img )

TensorFlow Code:

import tensorflow as tf
with tf.Session() as sess:
    tf.reset_default_graph()