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

tf.TFRecordReader.__init__(name=None, options=None) Create a TFRecordReader. Args:

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

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

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

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

tf.ReaderBase.restore_state(state, name=None) Restore a reader to a previously saved state. Not

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

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

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