python - Issue with Restoring tensorflow graph -


i build neural net tensorflow, , saved after training, when want restore in order make prediction, doesn't work that's get:

 2017-09-10 22:51:58.530272: w c:\tf_jenkins\home\workspace\release-  win\m\windows\py\36\tensorflow\core\framework\op_kernel.cc:1158] not found:   key variable_10 not found in checkpoint   key variable_10 not found in checkpoint

i don't know issue, here's save file:

   model_file = "c:/users/ben-n_000/desktop/travail     signal_courant/signal_courant_new/tensorflow_model/model.ckpt"

i saved model properly

   saver = tf.train.saver()    saver.save(sess, model_file)

and here comes issue :

    tf.session() sess:          sess.run(tf.global_variables_initializer())           saver = tf.train.saver()          saver.restore(sess, model_file)

it's quite frustrating, can't understand what's issue, need help, thnaks.

i have 2 functions train_network , make_prediction, saving model , reusing in make_prediction function that's how works

     def train_neural_network(x):        '''        code here         '''         #saver before innitalizing alla variables        saver = tf.train.saver()        tf.session() sess:           sess.run(tf.global_variables_initializer())           '''           code here            '''        def make_prediction(z):        '''        code here         '''        tf.session() sess:           sess.run(tf.global_variables_initializer())           saver.restore(sess, model_file)           '''           code here            '''

and here @ end of code can call our functions , put saver before calling of make_prediction :

      train_neural_network(x)       saver = tf.train.saver()       make_prediction(x_test[1])

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