tf.IdentityReader.__init__(name=None) Create a IdentityReader. Args:

tf.decode_json_example(json_examples, name=None) Convert JSON-encoded Example records to binary protocol buffer strings.

tf.ReaderBase.reader_ref Op that implements the reader.

tf.PaddingFIFOQueue.__init__(capacity, dtypes, shapes, names=None, shared_name=None, name='padding_fifo_queue') Creates a queue

tf.matching_files(pattern, name=None) Returns the set of files matching a pattern. Note that this

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

tf.train.range_input_producer(limit, num_epochs=None, shuffle=True, seed=None, capacity=32, shared_name=None, name=None) Produces

tf.train.match_filenames_once(pattern, name=None) Save the list of files matching pattern, so it is only computed once.

tf.FixedLenFeature.__repr__() Return a nicely formatted representation string

tf.QueueBase.from_list(index, queues) Create a queue using the queue reference from queues[index].