tf.contrib.training.NextQueuedSequenceBatch.sequences
A dict mapping keys of input_sequences
to split and rebatched data.
Returns:
A dict mapping keys of input_sequences
to tensors. If we had at input:
sequences["name"].get_shape() == [None, d1, d2, ...]
where None
meant the sequence time was dynamic, then for this property:
sequences["name"].get_shape() == [batch_size, num_unroll, d1, d2, ...].
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