Question

我在tensorflow中构建了一个卷积神经网络。它经过培训，现在我正在拆包并进行评估。

import main
import Process
import Input

eval_dir = "/Users/Zanhuang/Desktop/NNP/model.ckpt-250"
checkpoint_dir = "/Users/Zanhuang/Desktop/NNP/checkpoint"

def evaluate():
  with tf.Graph().as_default() as g:
    images, labels = Process.eval_inputs()
    forward_propgation_results = Process.forward_propagation(images)
    init_op = tf.initialize_all_variables()
    saver = tf.train.Saver()
    top_k_op = tf.nn.in_top_k(forward_propgation_results, labels, 1)

  with tf.Session(graph=g) as sess:
    tf.train.start_queue_runners(sess=sess)
    sess.run(init_op)
    saver.restore(sess, eval_dir)
    print(sess.run(top_k_op))


def main(argv=None):
    evaluate()

if __name__ == '__main__':
  tf.app.run()

不幸的是，出现了一个奇怪的错误，我不知道为什么。

W tensorflow/core/kernels/queue_base.cc:2
W tensorflow/core/kernels/queue_base.cc:294] _0_input_producer: Skipping cancelled enqueue attempt with queue not closed
W tensorflow/core/kernels/queue_base.cc:294] _1_batch/fifo_queue: Skipping cancelled enqueue attempt with queue not closed
E tensorflow/core/client/tensor_c_api.cc:485] Enqueue operation was cancelled
     [[Node: batch/fifo_queue_enqueue = QueueEnqueue[Tcomponents=[DT_FLOAT, DT_INT32], _class=["loc:@batch/fifo_queue"], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"](batch/fifo_queue, Cast_1, Cast)]]
E tensorflow/core/client/tensor_c_api.cc:485] Enqueue operation was cancelled
     [[Node: batch/fifo_queue_enqueue = QueueEnqueue[Tcomponents=[DT_FLOAT, DT_INT32], _class=["loc:@batch/fifo_queue"], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"](batch/fifo_queue, Cast_1, Cast)]]
E tensorflow/core/client/tensor_c_api.cc:485] Enqueue operation was cancelled
     ....
     [[Node: batch/fifo_queue_enqueue = QueueEnqueue[Tcomponents=[DT_FLOAT, DT_INT32], _class=["loc:@batch/fifo_queue"], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"](batch/fifo_queue, Cast_1, Cast)]]
E tensorflow/core/client/tensor_c_api.cc:485] Enqueue operation was cancelled
     [[Node: batch/fifo_queue_enqueue = QueueEnqueue[Tcomponents=[DT_FLOAT, DT_INT32], _class=["loc:@batch/fifo_queue"], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"](batch/fifo_queue, Cast_1, Cast)]]
W tensorflow/core/kernels/queue_base.cc:294] _1_batch/fifo_queue: Skipping cancelled enqueue attempt with queue not closed
...
W tensorflow/core/kernels/queue_base.cc:294] _1_batch/fifo_queue: Skipping cancelled enqueue attempt with queue not closed
E tensorflow/core/client/tensor_c_api.cc:485] Enqueue operation was cancelled

这只是其中的一部分。

Answer 1

从聊天更新 - 程序成功运行，打印的消息是由于Python在进程退出时运行时杀死了线程。

这些消息是无害的，但可以通过使用下面的模式手动停止线程来避免它们。

coord = tf.train.Coordinator()
threads = tf.train.start_queue_runners(sess=sess, coord=coord)
<do stuff>
coord.request_stop()
coord.join(threads)

Answer 2

一切正常，问题发生在python尝试杀死线程的最后阶段。要正确执行此操作，您应创建train.Coordinator并将其传递给queue_runner（无需传递sess，因为将使用默认会话

with tf.Session() as sess:
    coord = tf.train.Coordinator()
    threads = tf.train.start_queue_runners(coord=coord)
    // do your things
    coord.request_stop()
    coord.join(threads)

Answer 3

添加coord和异常处理的方法：

coord = tf.train.Coordinator()
threads = tf.train.start_queue_runners(sess, coord)

try:
    while not coord.should_stop():

        #doing things here

except tf.errors.OutOfRangeError:
    print("things done")

finally:
    coord.request_stop()

然后错误修复： - ）

Tensorflow Enqueue操作已取消

3 个答案: