Keras bug in model.predict

self._make_predict_function()

File"/usr/local/lib/python3.4/dist-packages/keras/engine/training.py", line679, in _make_predict_function

**self._function_kwargs)

File"/usr/local/lib/python3.4/dist-packages/keras/backend/tensorflow_backend.py", line615, in function

returnFunction(inputs, outputs, updates=updates)

File"/usr/local/lib/python3.4/dist-packages/keras/backend/tensorflow_backend.py", line589, in __init__

with tf.control_dependencies(self.outputs):

File"/usr/local/lib/python3.4/dist-packages/tensorflow/python/framework/ops.py", line3192, in control_dependencies

returnget_default_graph().control_dependencies(control_inputs)

File"/usr/local/lib/python3.4/dist-packages/tensorflow/python/framework/ops.py", line2993, in control_dependencies

c = self.as_graph_element(c)

File"/usr/local/lib/python3.4/dist-packages/tensorflow/python/framework/ops.py", line2291, in as_graph_element

raise ValueError("Tensor %s is not an element of this graph."% obj)

ValueError: Tensor Tensor("Sigmoid_2:0", shape=(?,17), dtype=float32) is not an element ofthisgraph.

#Right after loading or constructing your model, save the TensorFlow graph:

graph = tf.get_default_graph()

#In the other thread (or perhaps in an asynchronous event handler),do:

global graph

with graph.as_default():

(...doinference here ...)