**kwargs: Additional keyword arguments. Arguments passed to `decoder.step`.
Returns:
tuple: A tuple( :code:`(final_outputs, final_states, sequence_lengths)` ) \
when `return_length` is True, otherwise a tuple( :code:`(final_outputs, final_states)` ). \
The final outputs and states, both are Tensor or nested structure of Tensor. \
`final_outputs` has the same structure and data types as the :code:`outputs` \
returned by :code:`decoder.step()` , and each Tenser in `final_outputs` \
is the stacked of all decoding steps' outputs, which might be revised \
by :code:`decoder.finalize()` if the decoder has implemented `finalize`. \
`final_states` is the counterpart at last time step of initial states \
returned by :code:`decoder.initialize()` , thus has the same structure \
with it and has tensors with same shapes and data types. `sequence_lengths` \
is an `int64` tensor with the same shape as `finished` returned \
by :code:`decoder.initialize()` , and it stores the actual lengths of \
all decoded sequences.
- final_outputs (Tensor, nested structure of Tensor), each Tensor in :code:`final_outputs` is the stacked of all decoding steps' outputs, which might be revised
by :code:`decoder.finalize()` if the decoder has implemented finalize.
And :code:`final_outputs` has the same structure and data types as the :code:`outputs`
returned by :code:`decoder.step()`
- final_states (Tensor, nested structure of Tensor), :code:`final_states` is the counterpart at last time step of initial states \
returned by :code:`decoder.initialize()` , thus has the same structure
with it and has tensors with same shapes and data types.
- sequence_lengths (Tensor), stores the actual lengths of all decoded sequences.
sequence_lengths is provided only if :code:`return_length` is True.
Examples:
.. code-block:: python
import numpy as np
import paddle
from paddle.nn import BeamSearchDecoder, dynamic_decode
