https://stackoverflow.com/questions/34050071/tensorflow-random-shuffle-queue-is-closed-and-has-insufficient-elements

Speech Enhancement Generative Adversarial Network in TensorFlow 


 [[Node: device_0/wav_and_noisy = QueueDequeueManyV2[component_types=[DT_FLOAT, DT_FLOAT], timeout_ms=-1, _device=\"/job:localhost/replica:0/task:0/cpu:0\"](device_0/wav_and_noisy/random_shuffle_queue, device_0/wav_and_noisy/n)]]

 

  1.  

 解决方法:

https://github.com/santi-pdp/segan/issues/49 :  

作者:这是因为没有正确设置tfRecords的路径,或者没有tfRecords文件。 e2e_dataset:data/segan.tfrecords

长时间停顿:缩小批次大小,这可能会导致问题的解决。

经验:具体问题具体分析

******************************************************************************************************

其他参考:

https://www.baidu.com/ ?url=npaUMMQQx4Rpw_EJjX0d3zy1Ik-NtdSTxvbiecWbNXZtveyYhpOLu76s1hP8DRBU1atlTatvlXYv1qUuFgmwxHavrsG3bZ2GyG4LT-gbtFeoxTHjN_XxZ8bORfqcMgMUD9-XkLNOqFM3eTVCEGnrLob-b6T23AblPR2xdlKk4PG&wd=&eqid=9fb0c4d50004948c000000065b2ba80a

添加 local 变量,sess.run(tf.local_variables_initializer())


 

 


with tf.Session() as sess:

    sess.run(tf.local_variables_initializer())

    sess.run(tf.global_variables_initializer())

    coord = tf.train.Coordinator()

    threads = tf.train.start_queue_runners(coord=coord)

 

    # do your stuff here

    coord.request_stop()

    coord.join(threads)
 

 

或者 sess.run(tf.group(tf.local_variables_initializer(), tf.global_variables_initializer()))

收藏 打印