tf.nn.rnn_cell.MultiRNNCell.__init__()

tf.nn.rnn_cell.MultiRNNCell.__init__(cells, state_is_tuple=True)

Create a RNN cell composed sequentially of a number of RNNCells.

Args:

• cells: list of RNNCells that will be composed in this order.
• state_is_tuple: If True, accepted and returned states are n-tuples, where n = len(cells). If False, the states are all concatenated along the column axis. This latter behavior will soon be deprecated.

Raises:

• ValueError: if cells is empty (not allowed), or at least one of the cells returns a state tuple but the flag state_is_tuple is False.