From 50db851242c9dc2c71c96ccdcda38a040a3059b7 Mon Sep 17 00:00:00 2001
From: hong19860320 <9973393+hong19860320@users.noreply.github.com>
Date: Wed, 25 Sep 2019 19:02:37 +0800
Subject: [PATCH] update cn doc for assign op (#1378)

* update cn doc for assign op

* refine the description of assign op
---
 doc/fluid/api_cn/layers_cn/assign_cn.rst | 29 +++++++++---------------
 1 file changed, 11 insertions(+), 18 deletions(-)

diff --git a/doc/fluid/api_cn/layers_cn/assign_cn.rst b/doc/fluid/api_cn/layers_cn/assign_cn.rst
index 24a974e4d..f7f18c7cf 100644
--- a/doc/fluid/api_cn/layers_cn/assign_cn.rst
+++ b/doc/fluid/api_cn/layers_cn/assign_cn.rst
@@ -5,31 +5,24 @@ assign
 
 .. py:function:: paddle.fluid.layers.assign(input,output=None)
 
-该函数将输入变量复制到输出变量
+该OP将输入Tensor或numpy数组拷贝至输出Tensor。
 
 参数：
-    - **input** (Variable|numpy.ndarray)-源变量
-    - **output** (Variable|None)-目标变量
+    - **input** (Variable|np.ndarray) - 输入Tensor或numpy数组，支持数据类型为float32, float64, int32和int64。
+    - **output** (Variable，可选) - 输出Tensor。如果为None，则创建一个新的Tensor作为输出Tensor，默认值为None。
 
-返回：作为输出的目标变量
+返回：输出Tensor，形状、数据类型、数据值和 ``input`` 一致。
 
-返回类型：变量（Variable）
+返回类型：Variable
 
 **代码示例**：
 
 .. code-block:: python
 
     import paddle.fluid as fluid
-    data = fluid.layers.data(name="data", shape=[3, 32, 32], dtype="float32")
-    out = fluid.layers.create_tensor(dtype='float32')
-    hidden = fluid.layers.fc(input=data, size=10)
-    fluid.layers.assign(hidden, out)
-
-
-
-
-
-
-
-
-
+    import numpy as np
+    data = fluid.layers.fill_constant(shape=[3, 2], value=2.5, dtype='float64') # [[2.5, 2.5], [2.5, 2.5], [2.5, 2.5]]
+    result1 = fluid.layers.create_tensor(dtype='float64')
+    fluid.layers.assign(data, result1) # result1 = [[2.5, 2.5], [2.5, 2.5], [2.5, 2.5]]
+    result2 = fluid.layers.assign(data)  # result2 = [[2.5, 2.5], [2.5, 2.5], [2.5, 2.5]]
+    result3 = fluid.layers.assign(np.array([[2.5, 2.5], [2.5, 2.5], [2.5, 2.5]], dtype='float32')) # result3 = [[2.5, 2.5], [2.5, 2.5], [2.5, 2.5]]
-- 
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