tf.train.shuffle_batch_join(tensors_list, batch_size, capacity, min_after_dequeue, seed=None, enqueue_many=False, shapes=None, allow_smaller_final_batch=False, shared_name=None

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

class tf.WholeFileReader A Reader that outputs the entire contents of a file as a value. To use

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

class tf.FixedLenSequenceFeature Configuration for a dense input feature in a sequence item. To

class tf.IdentityReader A Reader that outputs the queued work as both the key and value. To use

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

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

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

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