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

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

tf.QueueBase.enqueue_many(vals, name=None) Enqueues zero or more elements to this queue. This

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

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

tf.FixedLenFeature.shape Alias for field number 0

tf.FixedLenSequenceFeature.shape Alias for field number 0

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

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

tf.QueueBase.__init__(dtypes, shapes, names, queue_ref) Constructs a queue object from a queue reference. The