tensorflow cifar10_eval.py错误:RuntimeError:尝试使用关闭的会话。RuntimeError:尝试使用关闭的会话
deep-learning
python
tensorflow
5
0

我在PC上运行cifar10网络,完成培训并运行eval脚本后,出现以下错误:

2016-06-01 14:37:14.238317: precision @ 1 = 0.000
Traceback (most recent call last):

  File "<ipython-input-1-adf2ca85bb77>", line 1, in <module>
    runfile('/home/kang/Documents/work_code_PC1/py_tensorflow_learning/cifar10CNN_test/cifar10_eval_test.py', wdir='/home/kang/Documents/work_code_PC1/py_tensorflow_learning/cifar10CNN_test')

  File "/usr/lib/python3/dist-packages/spyderlib/widgets/externalshell/sitecustomize.py", line 685, in runfile
    execfile(filename, namespace)

  File "/usr/lib/python3/dist-packages/spyderlib/widgets/externalshell/sitecustomize.py", line 85, in execfile
    exec(compile(open(filename, 'rb').read(), filename, 'exec'), namespace)

  File "/home/kang/Documents/work_code_PC1/py_tensorflow_learning/cifar10CNN_test/cifar10_eval_test.py", line 107, in <module>
    tf.app.run()

  File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/platform/default/_app.py", line 30, in run
    sys.exit(main(sys.argv))

  File "/home/kang/Documents/work_code_PC1/py_tensorflow_learning/cifar10CNN_test/cifar10_eval_test.py", line 104, in main
    evaluate()

  File "/home/kang/Documents/work_code_PC1/py_tensorflow_learning/cifar10CNN_test/cifar10_eval_test.py", line 94, in evaluate
    eval_once(saver, summary_writer, top_k_op, summary_op)

  File "/home/kang/Documents/work_code_PC1/py_tensorflow_learning/cifar10CNN_test/cifar10_eval_test.py", line 72, in eval_once
    coord.join(threads, stop_grace_period_secs = 10)

  File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/training/coordinator.py", line 264, in join
    six.reraise(*self._exc_info_to_raise)

  File "/usr/lib/python3/dist-packages/six.py", line 659, in reraise
    raise value

  File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/training/queue_runner.py", line 185, in _run
    sess.run(enqueue_op)

  File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/client/session.py", line 315, in run
    return self._run(None, fetches, feed_dict)

  File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/client/session.py", line 473, in _run
    raise RuntimeError('Attempted to use a closed Session.')

RuntimeError: Attempted to use a closed Session.

闭门会议是什么意思? train.py和eval.py是否应该同时运行?我是tensorflow的新手,并根据演示代码https://www.tensorflow.org/versions/r0.8/tutorials/deep_cnn/index.html键入自己

参考资料:
Stack Overflow
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查看您发布的代码 ,问题出在eval_once()第50和51行之间:

with tf.Session() as sess:
    ckpt = tf.train.get_checkpoint_state(FLAGS.checkpoint_dir)
    if ckpt and ckpt.model_checkpoint_path:
        saver.restore(sess, ckpt.model_checkpoint_path)
        global_step = ckpt.model_checkpoint_path.split('/')[-1].split('-')[-1]
    else:
        print('No checkpoint file found')
        return
# <<< The Session is closed here >>>
coord = tf.train.Coordinator()
try:
    # ...

当代码with tf.Session() as sess:块的with tf.Session() as sess:退出时, sess自动关闭,您将无法再使用它。有(至少)两种方法可以解决此问题:

  1. 将第51 到76行缩进4个空格,以便它们也位于with块内。

  2. 在不使用with块的情况下创建会话,然后手动将其关闭:

     def eval_once(): sess = tf.Session() ckpt = tf.train.get_checkpoint_state(FLAGS.checkpoint_dir) if ckpt and ckpt.model_checkpoint_path: saver.restore(sess, ckpt.model_checkpoint_path) global_step = ckpt.model_checkpoint_path.split('/')[-1].split('-')[-1] else: print('No checkpoint file found') sess.close() return coord = tf.train.Coordinator() try: # ... finally: sess.close() 
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