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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
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version.
Instructions for updating:
Please use keras.layers.RNN(cell, stateful=True)
, which is equivalent to this API
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".A pair (outputs, state) where: outputs is a length T list of outputs (one for each input) states is the final state
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
.