TensorFlow random_shuffle_queue is closed and has insufficient elements

Question

I\'m reading batch of images by getting idea here from tfrecords(converted by this)

My images are cifar images, [32, 32, 3] and as you can see while reading and pas

Answer 1

To summarize the comments, the

Compute status: Out of range: RandomSuffleQueue '_2_input/shuffle_batch/random_shuffle_queue' is closed and has insufficient elements (requested 100, current size 0)

was caused by the queue running out of data. This is often caused by thinking you have enough data for N iterations when really you only have enough for M iterations where M < N.

One suggestion for figuring out how much data you actually have is to count how many times you can read data before an OutOfRangeError exception is thrown by the queue.