129                    capacity=32,  argument
216                           capacity=32,  argument
287                          capacity=32, shared_name=None, name=None):  argument
330                          capacity=32, shared_name=None, name=None):  argument
761 def _batch(tensors, batch_size, keep_input, num_threads=1, capacity=32,  argument
801 def _batch_join(tensors_list, batch_size, keep_input, capacity=32,  argument
836 def _shuffle_batch(tensors, batch_size, capacity, min_after_dequeue,  argument
880 def _shuffle_batch_join(tensors_list, batch_size, capacity,  argument
930 def batch(tensors, batch_size, num_threads=1, capacity=32,  argument
1029 def maybe_batch(tensors, keep_input, batch_size, num_threads=1, capacity=32,  argument
1086 def batch_join(tensors_list, batch_size, capacity=32, enqueue_many=False,  argument
1196 def maybe_batch_join(tensors_list, keep_input, batch_size, capacity=32,  argument
1252 def shuffle_batch(tensors, batch_size, capacity, min_after_dequeue,  argument
1356 def maybe_shuffle_batch(tensors, batch_size, capacity, min_after_dequeue,  argument
1420 def shuffle_batch_join(tensors_list, batch_size, capacity,  argument
1518 def maybe_shuffle_batch_join(tensors_list, batch_size, capacity,  argument