why dataset.output_shapes returns demension(none) after batching

Question

I\'m using the Dataset API for input pipelines in TensorFlow (version: r1.2). I built my dataset and batched it with a batch size of 128. The dataset fed into the RNN.

Answer 1

This feature has been added with the drop_remainder parameter used like the following:

batch_test_dataset = test_dataset.batch(FLAGS.batch_size, drop_remainder=True)

From the docs:

drop_remainder: (Optional.) A tf.bool scalar tf.Tensor, representing whether the last batch should be dropped in the case its has fewer than batch_size elements; the default behavior is not to drop the smaller batch.