tf.train.string_input_producer(string_tensor, num_epochs=None, shuffle=True, seed=None, capacity=32, shared_name=None, name=None) Output

tf.ReaderBase.restore_state(state, name=None) Restore a reader to a previously saved state. Not

tf.train.batch_join(tensors_list, batch_size, capacity=32, enqueue_many=False, shapes=None, dynamic_pad=False, allow_smaller_final_batch=False, shared_name=None, name=None)

tf.train.batch(tensors, batch_size, num_threads=1, capacity=32, enqueue_many=False, shapes=None, dynamic_pad=False, allow_smaller_final_batch=False, shared_name=None

tf.FixedLenSequenceFeature.allow_missing Alias for field number 2

tf.FixedLengthRecordReader.num_work_units_completed(name=None) Returns the number of work units this reader has finished processing

tf.QueueBase.__init__(dtypes, shapes, names, queue_ref) Constructs a queue object from a queue reference. The

tf.ReaderBase.reset(name=None) Restore a reader to its initial clean state. Args:

tf.IdentityReader.supports_serialize Whether the Reader implementation can serialize its state.

tf.TextLineReader.read_up_to(queue, num_records, name=None) Returns up to num_records (key, value pairs) produced by a reader