Getting Value() error

[anujgupta82]

I cloned this code with

Keras==2.1.5
tensorflow==1.7.0

When I send a request I am getting

File "/home/root1/.virtualenv/MyDir/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 3557, in _as_graph_element_locked
raise ValueError("Tensor %s is not an element of this graph." % obj)

Below is complete screen shot of the error

Any suggestions will be of great help

[anujgupta82]

This is resolved.
This is a very well researched problem. The solution is given in Issue #1

def load_model():
	global model
	model = ResNet50(weights="imagenet")
            # this is key : save the graph after loading the model
	global graph
	graph = tf.get_default_graph()

While predicting, use the same graph

    with graph.as_default():
	preds = model.predict(image)
	#... etc

[jrosebr1]

Congrats on resolving the issue @anujgupta82 and thank you for sharing the relevant links just in case others have this problem.

[johncleveland]

This works for the developmental server, but it does not work if you want to use a standalone wsgi container e.g. gunicorn, gevent, uwsgi.

Also there is another solution if you just want to get the model to work. Essentially just get rid of the load_model() function.
run_keras_server.txt

The above works on the standalone wsgi containers but not on the
Flask developmental server ???
Is there a solution that works for all cases?

[jrosebr1]

Hey @johncleveland, please don't copy and paste the same question into multiple threads. Your question has already been addressed and answered in #1. Thanks.