tf.placeholder_with_default(input, shape, name=None) A placeholder op that passes though input when its output is

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

tf.train.limit_epochs(tensor, num_epochs=None, name=None) Returns tensor num_epochs times and then raises an

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

tf.parse_tensor(serialized, out_type, name=None) Transforms a serialized tensorflow.TensorProto proto into a Tensor.

tf.read_file(filename, name=None) Reads and outputs the entire contents of the input filename. Args:

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.FixedLengthRecordReader.reader_ref Op that implements the reader.

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

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