ptrendx commented on issue #8552: Problem in mx.io.ImageRecordIter URL: https://github.com/apache/incubator-mxnet/issues/8552#issuecomment-342206112 The variable number of batches per epoch is kind of intentional. What happens here is basically: if the number of images is not divisible by the batch size, then iterator needs to fill the last batch with something after it used all of the images. By default it uses images from the next epoch (you can change that behavior by setting `round_batch` option of the iterator to `False`). Then, during the next epoch, it does not use those images (otherwise those images would be overrepresented in the training process), which in some cases may result in that epoch having 1 less batch.
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