Я пытаюсь использовать отладчик TensorFlow CLI для определения операции, которая вызывает NaN во время обучения сети, но когда я пытаюсь запустить код, я получаю ошибку:
_curses.error: cbreak() returned ERR
Я запускаю код на сервере Ubuntu, к которому подключаюсь через SSH, и попытался выполнить это руководство .
Я пыталсяиспользуя tf.add_check_numerics_ops()
, но слои в сети включают циклы while, поэтому они не совместимы.Это раздел кода, где возникает ошибка:
import tensorflow as tf
from tensorflow.python import debug as tf_debug
...
#Prepare data
train_data, val_data, test_data = dataset.prepare_datasets(model_config)
sess = tf.Session()
sess = tf_debug.LocalCLIDebugWrapperSession(sess)
# Create iterators
handle = tf.placeholder(tf.string, shape=[])
iterator = tf.data.Iterator.from_string_handle(handle, train_data.output_types, train_data.output_shapes)
mixed_spec, voice_spec, mixed_audio, voice_audio = iterator.get_next()
training_iterator = train_data.make_initializable_iterator()
validation_iterator = val_data.make_initializable_iterator()
testing_iterator = test_data.make_initializable_iterator()
training_handle = sess.run(training_iterator.string_handle())
...
и полная ошибка:
Traceback (most recent call last):
File "main.py", line 64, in <module>
@ex.automain
File "/home/enterprise.internal.city.ac.uk/acvn728/.local/lib/python3.5/site-packages/sacred/experiment.py", line 137, in automain
self.run_commandline()
File "/home/enterprise.internal.city.ac.uk/acvn728/.local/lib/python3.5/site-packages/sacred/experiment.py", line 260, in run_commandline
return self.run(cmd_name, config_updates, named_configs, {}, args)
File "/home/enterprise.internal.city.ac.uk/acvn728/.local/lib/python3.5/site-packages/sacred/experiment.py", line 209, in run
run()
File "/home/enterprise.internal.city.ac.uk/acvn728/.local/lib/python3.5/site-packages/sacred/run.py", line 221, in __call__
self.result = self.main_function(*args)
File "/home/enterprise.internal.city.ac.uk/acvn728/.local/lib/python3.5/site-packages/sacred/config/captured_function.py", line 46, in captured_function
result = wrapped(*args, **kwargs)
File "main.py", line 95, in do_experiment
training_handle = sess.run(training_iterator.string_handle())
File "/home/enterprise.internal.city.ac.uk/acvn728/.local/lib/python3.5/site-packages/tensorflow/python/debug/wrappers/framework.py", line 455, in run
is_callable_runner=bool(callable_runner)))
File "/home/enterprise.internal.city.ac.uk/acvn728/.local/lib/python3.5/site-packages/tensorflow/python/debug/wrappers/local_cli_wrapper.py", line 255, in on_run_start
self._run_start_response = self._launch_cli()
File "/home/enterprise.internal.city.ac.uk/acvn728/.local/lib/python3.5/site-packages/tensorflow/python/debug/wrappers/local_cli_wrapper.py", line 431, in _launch_cli
title_color=self._title_color)
File "/home/enterprise.internal.city.ac.uk/acvn728/.local/lib/python3.5/site-packages/tensorflow/python/debug/cli/curses_ui.py", line 492, in run_ui
self._screen_launch(enable_mouse_on_start=enable_mouse_on_start)
File "/home/enterprise.internal.city.ac.uk/acvn728/.local/lib/python3.5/site-packages/tensorflow/python/debug/cli/curses_ui.py", line 445, in _screen_launch
curses.cbreak()
_curses.error: cbreak() returned ERR
Я довольно новичок в использовании Ubuntu (и TensorFlow),но, насколько я могу судить, на сервере установлены ncurses, что должно позволить использовать интерфейс на основе curses:
acvn728@america:~/MScFinalProject$ dpkg -l '*ncurses*' | grep '^ii'
ii libncurses5:amd64 6.0+20160213-1ubuntu1 amd64 shared libraries for terminal handling
ii libncursesw5:amd64 6.0+20160213-1ubuntu1 amd64 shared libraries for terminal handling (wide character support)
ii ncurses-base 6.0+20160213-1ubuntu1 all basic terminal type definitions
ii ncurses-bin 6.0+20160213-1ubuntu1 amd64 terminal-related programs and man pages
ii ncurses-term 6.0+20160213-1ubuntu1 all additional terminal type definitions