diff --git a/paddle/fluid/API.spec b/paddle/fluid/API.spec
index 1516506e1c499e9c6da590d0f4d75b35cd190e93..f48fb3de25e642dae0abce3277897d1c913e4d06 100644
--- a/paddle/fluid/API.spec
+++ b/paddle/fluid/API.spec
@@ -349,7 +349,7 @@ paddle.fluid.layers.Switch.case (ArgSpec(args=['self', 'condition'], varargs=Non
 paddle.fluid.layers.Switch.default (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
 paddle.fluid.layers.increment (ArgSpec(args=['x', 'value', 'in_place'], varargs=None, keywords=None, defaults=(1.0, True)), ('document', 'c5fe17688e64c2d7e57312128d61da98'))
 paddle.fluid.layers.array_write (ArgSpec(args=['x', 'i', 'array'], varargs=None, keywords=None, defaults=(None,)), ('document', 'd357f71a280bf06aab4c79de9bd4facf'))
-paddle.fluid.layers.create_array (ArgSpec(args=['dtype'], varargs=None, keywords=None, defaults=None), ('document', '556de793fdf24d515f3fc91260e2c048'))
+paddle.fluid.layers.create_array (ArgSpec(args=['dtype'], varargs=None, keywords=None, defaults=None), ('document', '46814536f8934863d633694ddbad0914'))
 paddle.fluid.layers.less_than (ArgSpec(args=['x', 'y', 'force_cpu', 'cond'], varargs=None, keywords=None, defaults=(None, None)), ('document', '329bdde01cba69463b08b8c13015560a'))
 paddle.fluid.layers.less_equal (ArgSpec(args=['x', 'y', 'cond'], varargs=None, keywords=None, defaults=(None,)), ('document', '04e5623dd39b4437b9b08e0ce11071ca'))
 paddle.fluid.layers.greater_than (ArgSpec(args=['x', 'y', 'cond'], varargs=None, keywords=None, defaults=(None,)), ('document', '135352e24251238122bb7823dd4a49aa'))
@@ -383,26 +383,26 @@ paddle.fluid.layers.StaticRNN.update_memory (ArgSpec(args=['self', 'mem', 'var']
 paddle.fluid.layers.reorder_lod_tensor_by_rank (ArgSpec(args=['x', 'rank_table'], varargs=None, keywords=None, defaults=None), ('document', 'db67cfcdd20ff6380d125a7553d62121'))
 paddle.fluid.layers.Print (ArgSpec(args=['input', 'first_n', 'message', 'summarize', 'print_tensor_name', 'print_tensor_type', 'print_tensor_shape', 'print_tensor_lod', 'print_phase'], varargs=None, keywords=None, defaults=(-1, None, 20, True, True, True, True, 'both')), ('document', 'e57b87b4d1f9d4a6c7a3f4e6942dea10'))
 paddle.fluid.layers.is_empty (ArgSpec(args=['x', 'cond'], varargs=None, keywords=None, defaults=(None,)), ('document', 'a79576af16e8ce1c6ac61b902b04f10a'))
-paddle.fluid.layers.sigmoid (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '2d0fed39c9d28cc19aa496f0dd159fd4'))
-paddle.fluid.layers.logsigmoid (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'c33cf66d7d2df3f3dabc5f728c70915d'))
-paddle.fluid.layers.exp (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '56a9fcf884b888674ee3c46afc110d62'))
-paddle.fluid.layers.tanh (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'f34a62d31468fb0308a8ff82dd55ca38'))
-paddle.fluid.layers.atan (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '4d6ed5129aedf9efc8883541e0d0b9aa'))
-paddle.fluid.layers.tanh_shrink (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '50e9750eff90c09b6bd80c20450ec184'))
-paddle.fluid.layers.sqrt (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'a74dec54d52181979d0ea7deb8900280'))
-paddle.fluid.layers.rsqrt (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '04e19f56984e03f8d7567283c2083b05'))
-paddle.fluid.layers.abs (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '814b865a4d426cbb6543ee0783d2a5d7'))
-paddle.fluid.layers.ceil (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'ad5da89beacf0e13d1e2ad1434b17ba5'))
-paddle.fluid.layers.floor (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'ede18954ba13f3337ce09ed04ecf4f20'))
-paddle.fluid.layers.cos (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'df7149db3d84538708f35e76c35e8119'))
-paddle.fluid.layers.acos (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'f6d0a48665c9e537584e154ea967fafd'))
-paddle.fluid.layers.asin (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'e0725366c2a1903cbe39cca38f4cba09'))
-paddle.fluid.layers.sin (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '096c00265a036c6b09e671af39e103cb'))
-paddle.fluid.layers.round (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '697b326fa2a44be46ab891a5ccc10870'))
-paddle.fluid.layers.reciprocal (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '0e5a40faba795ca1780bcb33097776ce'))
-paddle.fluid.layers.square (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'bff78587bfbeee4ffa8bc2a14f22e121'))
-paddle.fluid.layers.softplus (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '9ce5e4717328eadf75af94763b3610b7'))
-paddle.fluid.layers.softsign (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'c19bc097c549a4f07de92ab8180787b8'))
+paddle.fluid.layers.sigmoid (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'c04d0c6e2bb41118db0adf9799495741'))
+paddle.fluid.layers.logsigmoid (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '972db8916959e7b587b0c419065f0b8b'))
+paddle.fluid.layers.exp (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '7fa4e40d141083b9dad6a82b69552fda'))
+paddle.fluid.layers.tanh (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '512f8cd639522927bfae7183725b9c50'))
+paddle.fluid.layers.atan (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'fe2628fff911de5394b5ebc9fa949913'))
+paddle.fluid.layers.tanh_shrink (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'd4472ff49144e7f5f8b085cc23b25e0a'))
+paddle.fluid.layers.sqrt (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'e584d085e1c5663a03f0044d93b7ea9f'))
+paddle.fluid.layers.rsqrt (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'fa30878e82a37ebda698875c261ca62c'))
+paddle.fluid.layers.abs (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'ed9cc5384e242ff8309bcc8ef836be1e'))
+paddle.fluid.layers.ceil (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'e47fd0338e30bd35f53ac55a13b601db'))
+paddle.fluid.layers.floor (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'cc043fde6b8737a6c2f0fd2f6a102814'))
+paddle.fluid.layers.cos (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'af847262d625ff773ef5bf6fa2c50b86'))
+paddle.fluid.layers.acos (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '3e3add0423f006460419f0fd85d20a52'))
+paddle.fluid.layers.asin (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '439162d45422383c1d565a787aea825c'))
+paddle.fluid.layers.sin (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '7f83a52b797d87cfbe7262719fb1947c'))
+paddle.fluid.layers.round (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'f7aeee8fcf03036f989c910ab822926f'))
+paddle.fluid.layers.reciprocal (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'a86781b1285a4c39bf1c1a897d9605b6'))
+paddle.fluid.layers.square (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '7828d00401fabca6fd051e351e43ee17'))
+paddle.fluid.layers.softplus (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'e817019fc82b0dce744c71a959df4d26'))
+paddle.fluid.layers.softsign (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'ceb6315e2ce620909eddbd4922f9816d'))
 paddle.fluid.layers.softshrink (ArgSpec(args=['x', 'alpha'], varargs=None, keywords=None, defaults=(None,)), ('document', 'ca05a2a810b78772bfda9f2d0f19ed32'))
 paddle.fluid.layers.hard_shrink (ArgSpec(args=['x', 'threshold'], varargs=None, keywords=None, defaults=(None,)), ('document', '386a4103d2884b2f1312ebc1e8ee6486'))
 paddle.fluid.layers.cumsum (ArgSpec(args=['x', 'axis', 'exclusive', 'reverse'], varargs=None, keywords=None, defaults=(None, None, None)), ('document', 'c1f2e4c4511da09d5d89c556ea802bd1'))
diff --git a/paddle/fluid/operators/activation_op.cc b/paddle/fluid/operators/activation_op.cc
index 150ce231ec90b28c11496191f773eee037049d52..82ff2c1a72b89efcfca4c7d3350f09a4f7216063 100644
--- a/paddle/fluid/operators/activation_op.cc
+++ b/paddle/fluid/operators/activation_op.cc
@@ -296,7 +296,7 @@ Natural logarithm of x.
 )DOC";
 
 UNUSED constexpr char SquareDoc[] = R"DOC(
-Square Activation Operator.
+The OP square each elements of the inputs.
 
 $out = x^2$
 
diff --git a/python/paddle/fluid/layers/control_flow.py b/python/paddle/fluid/layers/control_flow.py
index f7a0ded432be3888a1730104a61f073d6d6e454c..01554a43e941bb5017d7f49da94fd9fc55b03652 100755
--- a/python/paddle/fluid/layers/control_flow.py
+++ b/python/paddle/fluid/layers/control_flow.py
@@ -1116,22 +1116,23 @@ def array_write(x, i, array=None):
 
 def create_array(dtype):
     """
-    **Create LoDTensorArray**
-
-    This function creates an array of LOD_TENSOR_ARRAY . It is mainly used to
-    implement RNN with array_write, array_read and While.
+    This OP creates an LOD_TENSOR_ARRAY. It is used as
+    the input of :ref:`api_fluid_layers_array_read` and 
+    :ref:`api_fluid_layers_array_write`. Also it can be used
+    with  :ref:`api_fluid_layers_While` to create RNN network.
 
     Args:
-        dtype (int|float): The data type of the elements in the lod_tensor_array.
+        dtype (str): The data type of the elements in the lod_tensor_array.
+                     Support data type: float32, float64, int32, int64.
 
     Returns:
-        Variable: The lod_tensor_array variable storing the elements of data type.
+        Variable: The empty lod_tensor_array. The data type of elements in Tensor is ``dtype``.
 
     Examples:
         .. code-block:: python
 
           import paddle.fluid as fluid
-          data = fluid.layers.create_array(dtype='float32')
+          data = fluid.layers.create_array(dtype='float32') # Create a float32 LoDTensorArray.
 
     """
     helper = LayerHelper("array", **locals())
diff --git a/python/paddle/fluid/layers/layer_function_generator.py b/python/paddle/fluid/layers/layer_function_generator.py
index c828d9db34a8d4610216979c5799eddc7570c6bd..255418fbde6ffe6bd685ce163c7a02d624b57cf1 100755
--- a/python/paddle/fluid/layers/layer_function_generator.py
+++ b/python/paddle/fluid/layers/layer_function_generator.py
@@ -283,13 +283,14 @@ Examples:
         import paddle.fluid as fluid
         import numpy as np
 
-        inputs = fluid.data(name="x", shape = [None, 1], dtype='float32')
+        inputs = fluid.data(name="x", shape = [None, 4], dtype='float32')
         output = fluid.layers.%s(inputs)
 
         exe = fluid.Executor(fluid.CPUPlace())
         exe.run(fluid.default_startup_program())
 
-        img = np.array([1.0, 2.0, 3.0, 4.0]).astype(np.float32)
+        #input.shape=1X4, batch_size=1
+        img = np.array([[1.0, 2.0, 3.0, 4.0]]).astype(np.float32)
         res = exe.run(fluid.default_main_program(), feed={'x':img}, fetch_list=[output])
         print(res)
 """ % op_type