python - TensorFlow: Saver has 5 models limit -

i wanted save multiple models experiment noticed tf.train.saver() constructor not save more 5 models. here simple code:

import tensorflow tf   x = tf.variable(tf.zeros([1])) saver = tf.train.saver() sess = tf.session()  in range(10):   sess.run(tf.initialize_all_variables())   saver.save( sess, '/home/eneskocabey/desktop/model' + str(i) ) 

when ran code, saw 5 models on desktop. why this? how can save more 5 models same tf.train.saver() constructor?

the tf.train.saver() constructor takes optional argument called max_to_keep, defaults keeping 5 recent checkpoints of model. save more models, specify value argument:

import tensorflow tf   x = tf.variable(tf.zeros([1])) saver = tf.train.saver(max_to_keep=10) sess = tf.session()  in range(10):   sess.run(tf.initialize_all_variables())   saver.save(sess, '/home/eneskocabey/desktop/model' + str(i)) 

to keep all checkpoints, pass argument max_to_keep=none saver constructor.