diff --git a/doc/fluid/api_cn/layers_cn/shuffle_cn.rst b/doc/fluid/api_cn/layers_cn/shuffle_cn.rst
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-.. _cn_api_fluid_layers_shuffle:
-
-shuffle
--------------------------------
-
-.. py:function:: paddle.fluid.layers.shuffle(reader, buffer_size)
-
-创建一个特殊的数据读取器，它的输出数据会被重洗(shuffle)。由原始读取器创建的迭代器得到的输出将会被暂存到shuffle缓存区，其后
-会对其进行重洗运算。shuffle缓存区的大小由参数 ``buffer_size`` 决定。
-
-参数:
-    - **reader** (callable) – 输出会被shuffle的原始reader
-    - **buffer_size** (int) – 进行shuffle的buffer的大小
-
-返回:其输出会被shuffle的一个reader（读取器）
-
-返回类型:callable
-
-**代码示例**：
-
-.. code-block:: python
-
-    import paddle.fluid as fluid
-    raw_reader = fluid.layers.io.open_files(filenames=['./data1.recordio',
-                                                   './data2.recordio'],
-                                            shapes=[(3,224,224), (1,)],
-                                            lod_levels=[0, 0],
-                                            dtypes=['float32', 'int64'],
-                                            thread_num=2,
-                                            buffer_size=2)
-    batch_reader = fluid.layers.batch(reader=raw_reader, batch_size=5)
-    shuffle_reader = fluid.layers.shuffle(reader=batch_reader, buffer_size=5000)
-
-
-
-
-
-
-
-