Similar to the unidirectional case above (rnn) but takes input and builds
independent forward and backward RNNs with the final forward and backward
outputs depth-concatenated, such that the output will have the format
[time][batch][cell_fw.output_size + cell_bw.output_size]. The input_size of
forward and backward cell must match. The initial state for both directions
is zero by default (but can be set optionally) and no intermediate states are
ever returned -- the network is fully unrolled for the given (passed in)
length(s) of the sequence(s) or completely unrolled if length(s) is not given.
Args
cell_fw
An instance of RNNCell, to be used for forward direction.
cell_bw
An instance of RNNCell, to be used for backward direction.
inputs
A length T list of inputs, each a tensor of shape [batch_size,
input_size], or a nested tuple of such elements.
initial_state_fw
(optional) An initial state for the forward RNN. This must
be a tensor of appropriate type and shape [batch_size,
cell_fw.state_size]. If cell_fw.state_size is a tuple, this should be a
tuple of tensors having shapes [batch_size, s] for s in
cell_fw.state_size.
initial_state_bw
(optional) Same as for initial_state_fw, but using the
corresponding properties of cell_bw.
dtype
(optional) The data type for the initial state. Required if either
of the initial states are not provided.
sequence_length
(optional) An int32/int64 vector, size [batch_size],
containing the actual lengths for each of the sequences.
scope
VariableScope for the created subgraph; defaults to
"bidirectional_rnn"
Returns
A tuple (outputs, output_state_fw, output_state_bw) where:
outputs is a length T list of outputs (one for each input), which
are depth-concatenated forward and backward outputs.
output_state_fw is the final state of the forward rnn.
output_state_bw is the final state of the backward rnn.
Raises
TypeError
If cell_fw or cell_bw is not an instance of RNNCell.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06 UTC."],[],[]]