tf.compat.v1.nn.static_state_saving_rnn

RNN that accepts a state saver for time-truncated RNN calculation. (deprecated)

tf.compat.v1.nn.static_state_saving_rnn(
    cell, inputs, state_saver, state_name, sequence_length=None, scope=None
)

Args
`cell`	An instance of `RNNCell`.
`inputs`	A length T list of inputs, each a `Tensor` of shape `[batch_size, input_size]`.
`state_saver`	A state saver object with methods `state` and `save_state`.
`state_name`	Python string or tuple of strings. The name to use with the state_saver. If the cell returns tuples of states (i.e., `cell.state_size` is a tuple) then `state_name` should be a tuple of strings having the same length as `cell.state_size`. Otherwise it should be a single string.
`sequence_length`	(optional) An int32/int64 vector size [batch_size]. See the documentation for rnn() for more details about sequence_length.
`scope`	VariableScope for the created subgraph; defaults to "rnn".

Returns
A pair (outputs, state) where: outputs is a length T list of outputs (one for each input) states is the final state

Raises
`TypeError`	If `cell` is not an instance of RNNCell.
`ValueError`	If `inputs` is `None` or an empty list, or if the arity and type of `state_name` does not match that of `cell.state_size`.

Args