tf.train.input_producer(input_tensor, element_shape=None, num_epochs=None, shuffle=True, seed=None, capacity=32, shared_name=None, summary_name=None, name=None)

tf.TextLineReader.read(queue, name=None) Returns the next record (key, value pair) produced by a reader. Will

tf.IdentityReader.serialize_state(name=None) Produce a string tensor that encodes the state of a reader. Not

tf.QueueBase.dequeue(name=None) Dequeues one element from this queue. If the queue is empty when

tf.QueueBase.queue_ref The underlying queue reference.

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

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

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

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

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