Tensorflow FIFOQueue error: FIFOQueue is closed and has insufficient elements

Question

Now I am using tensorflow to write a program to validate models. I use the FIFOQueue to queue the input data. For example, I have 50,000 images and enqueue 100 images at a t

Answer 1

Try dequeue_up_to instead of dequeue_many: https://www.tensorflow.org/versions/r0.10/api_docs/python/io_ops.html

Hope that helps!

Answer 2

I have faced this issue multiple times and from my experience this is usually caused if the input files cannot be found. my input was a list of pngs from a directory and I was using this to get the input images.

input = tensorflow.train.string_input_producer(tensorflow.train.match_filenames_once("/input/*.png"))

which was somehow not getting the files correctly. Changing it to

filename_im = tensorflow.train.string_input_producer(glob.glob('/input/*.png'))

solved the issue

Answer 3

You could catch the specific error which will gracefully end training once all examples have been exhausted:

try:
    while True:
        # Run training Ops here...

except tf.errors.OutOfRangeError:
    print('Done training -- epoch limit reached')

Answer 4

I believe that this is only a warning that the queue is empty, but does not cause errors. I see similar warnings but my program does not break. Does yours? See this thread.