tf.FixedLengthRecordReader.num_records_produced(name=None) Returns the number of records this reader has produced.

class tf.ReaderBase Base class for different Reader types, that produce a record every step. Conceptually

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

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

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

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

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

tf.parse_single_example(serialized, features, name=None, example_names=None) Parses a single Example proto.

tf.QueueBase.dequeue_many(n, name=None) Dequeues and concatenates n elements from this queue. This

class tf.PriorityQueue A queue implementation that dequeues elements in prioritized order. See