Tensorflow batch_norm does not work properly when testing (is_training=False)

Question

I am training the following model:

with slim.arg_scope(inception_arg_scope(is_training=True)):
    logits_v, endpoints_v          


        

Answer 1

I met the same problem and solved. When you use slim.batch_norm,be sure to use slim.learning.create_train_op instead of tf.train.GradientDecentOptimizer(lr).minimize(loss) or other optimizer. Try it to see if it works!