I want to create a Moving MNIST tutorial in TensorFlow. I was thinking about subclassing tf.ReaderBaseand emitting training sequences tf.Examplein tf.ReaderBase.reador using tf.QueueBase, but I'm not sure if this fits it right and whether it is good (regarding CPU usage to create sequences during training).
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