tf.contrib.training.SequenceQueueingStateSaver.batch_size

class tf.contrib.training.NextQueuedSequenceBatch NextQueuedSequenceBatch stores deferred SequenceQueueingStateSaver data.

tf.contrib.training.SequenceQueueingStateSaver.name

tf.contrib.training.NextQueuedSequenceBatch.sequence An int32 vector, length batch_size: the sequence index of each

tf.contrib.training.NextQueuedSequenceBatch.length The lengths of the given truncated unrolled examples. For

tf.contrib.training.batch_sequences_with_states(input_key, input_sequences, input_context, input_length, initial_states, num_unroll, batch_size, num_threads=3, capacity=1000

tf.contrib.training.NextQueuedSequenceBatch.batch_size The batch_size of the given batch. Usually

tf.contrib.training.stratified_sample_unknown_dist(tensors, labels, probs, batch_size, enqueue_many=False, queue_capacity=16, threads_per_queue=1, name=None)

tf.contrib.training.NextQueuedSequenceBatch.next_key The key names of the next (in iteration) truncated unrolled examples.

tf.contrib.training.NextQueuedSequenceBatch.insertion_index The insertion indices of the examples (when they were first added)