From 0978bca47eefa827f4dc77fd6b963c8d6022889b Mon Sep 17 00:00:00 2001
From: liu zhengxi <380185688@qq.com>
Date: Mon, 19 Dec 2022 11:32:55 +0800
Subject: [PATCH] Refine dynamic_decode docs (#49151)

---
 python/paddle/nn/decode.py | 24 ++++++++++--------------
 1 file changed, 10 insertions(+), 14 deletions(-)

diff --git a/python/paddle/nn/decode.py b/python/paddle/nn/decode.py
index c2e652b63d8..4ad72077014 100644
--- a/python/paddle/nn/decode.py
+++ b/python/paddle/nn/decode.py
@@ -1029,26 +1029,22 @@ def dynamic_decode(
         **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
             from paddle.nn import GRUCell, Linear, Embedding
-- 
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