Importing and using TensorFlow graph (model)

Importing TF model.py

sess = tf.Session()

# Import graph from the path and recover session
saver = tf.train.import_meta_graph('models/model_name.meta', clear_devices=True)
saver.restore(sess, 'models/model_name')

# There are TWO options how to access the operation (choose one)
  # FROM SAVED COLLECTION:
activation = tf.get_collection('activation')[0]
  # BY NAME:
activation = tf.get_default_graph.get_operation_by_name('activation_opt').outputs[0]

# Use imported graph for data
# You have to feed data as {'x:0': data}
# Don't forget on ':0' part!
data = 50
result = sess.run(activation, {'x:0': data})
print(result)