tf.VarLenFeature.__getnewargs__() Return self as a plain tuple. Used by copy and pickle.

tf.QueueBase.size(name=None) Compute the number of elements in this queue. Args:

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

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

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

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

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

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

tf.ReaderBase.__init__(reader_ref, supports_serialize=False) Creates a new ReaderBase. Args:

tf.QueueBase.queue_ref The underlying queue reference.