Tensorflow codes exceptionally exit when using thread in a loop -

i describe problem as possible receiving valuable answers. this, posting pseudocode below , pointing out further question:

for _ in range(100):    tf.reset_default_graph()    read data queue    build graph    tf.session() sess:        coord = tf.train.coordinator()        threads = tf.train.start_queue_runners(sess, coord)        try:             in range(total_steps):                 if coord.should_stop():                   work...        except tf.errors.outofrangeerror:             print('done')        finally:             coord.request_stop()             coord.join(threads) 

in summary, put code in loop, , in each loop. graph reset, , use thread read data.

i have used command "nohup python myscript.py >./log.txt &", while no exceptional or error messages in log.txt.

now, thinking whether threads causing exceptional exit? not sure.

many thanks!