How can I solve this: "RuntimeError: Attempted to use a closed Session."

Question

当我运行以下 Tensorflow 代码时，我收到一个 RuntimeError，上面写着 "Attempted to use a closed Session." 谁能告诉我如何解决这个错误？这是代码：

# coding=utf-8
# (...imports omitted...)

# (...some constant declarations and helper functions omitted:
#  max_steps, batch_size, log_dir, variable_with_weight_loss, variable_summaries,
#  layer1, full_layer1, full_layer2, full_layer3, loss
#  ...)

def run():
    image, label = read_and_decode('train.tfrecords')
    batch_image, batch_label = get_batch(image, label, batch_size=128, crop_size=56) 

    test_image, test_label = read_and_decode('val.tfrecords')
    test_images, test_labels = get_test_batch(test_image, test_label, batch_size=128, crop_size=56)  # batch 生成测试

    def feed_dict(train):
        if train:
            x=image_batch
            y=label_batch
        else:
            x=img_batch
            y=lab_batch
        return {image_holder:x,label_holder:y}

    saver=tf.train.Saver()
    num_examples = 10000
    num_iter = int(math.ceil(num_examples / batch_size))
    true_count = 0
    total_sample_count = num_iter * batch_size

    init = tf.global_variables_initializer()
    with tf.Session() as sess:
        sess.run(init)
        merged = tf.summary.merge_all()
        train_writer = tf.summary.FileWriter(log_dir + '/train', sess.graph)
        test_writer = tf.summary.FileWriter(log_dir + '/test')
        coord = tf.train.Coordinator()
        threads = tf.train.start_queue_runners(coord=coord)

    for step in range(max_steps):
        start_time = time.time()
        image_batch, label_batch = sess.run([batch_image, batch_label])

    # (...rest of function omitted...)


if __name__=='__main__':
    run()

这里是代码为运行时发生的异常：

File "/home/vrview/tensorflow/example/char/tfrecords/color2_board.py", line 238, in <module>
    run()
  File "/home/vrview/tensorflow/example/char/tfrecords/color2_board.py", line 207, in run
    image_batch, label_batch = sess.run([batch_image, batch_label])
  File "/home/vrview/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 767, in run
    run_metadata_ptr)
  File "/home/vrview/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 903, in _run
    raise RuntimeError('Attempted to use a closed Session.')
RuntimeError: Attempted to use a closed Session.

感谢您的帮助！

Answer 1

任何使用 sess 的东西都应该在你的 with tf.Session() as sess 中。您基本上只需要缩进从 for step in range(max_steps): 到 test_writer.close()

的所有内容

您尝试在 with tf.Session() as sess 范围之外调用 sess.run([batch_image, batch_label]) 会在 sess 对象超出范围后自动关闭它。

Answer 2

就我而言：

try:
    model.load("model.tflearn")
except:
    model.fit(training, output, n_epoch=1000, batch_size=8, show_metric=True)
    model.save("model.tflearn")

我删除了 try: 和 except: 并且仅使用最后两行解决了问题。

How can I solve this: "RuntimeError: Attempted to use a closed Session."

How can I solve this: "RuntimeError: Attempted to use a closed Session."

tensorflow

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