Fix the doc example for some ops

Fix the doc examples for those apis

doc/fluid/api_cn/layers_cn/deformable_roi_pooling_cn.rst

@@ -48,7 +48,7 @@ deformable_roi_pooling
 
 ..  code-block:: python
 
-    #position_sensitive为False
+    #position_sensitive=False
 
     import paddle.fluid as fluid
     input = fluid.data(name="input",
@@ -74,7 +74,7 @@ deformable_roi_pooling
                                             trans_std=0.1,
                                             position_sensitive=False)
 
-    #position_sensitive为True
+    #position_sensitive=True
 
     import paddle.fluid as fluid
     input = fluid.data(name="input",

doc/fluid/api_cn/layers_cn/elementwise_add_cn.rst

@@ -107,7 +107,7 @@ elementwise_add
             "y": np.random.randint(1, 5, size=[5]).astype('float32')
         }
     x = fluid.layers.data(name="x", shape=[2,3,4,5], dtype='float32')
-    y = fluid.layers.data(name="y", shape=[3,4], dtype='float32')
+    y = fluid.layers.data(name="y", shape=[5], dtype='float32')
     # z = x + y
     z = fluid.layers.elementwise_add(x, y, axis=3)
     place = fluid.CPUPlace()

doc/fluid/api_cn/layers_cn/elementwise_div_cn.rst

@@ -107,7 +107,7 @@ elementwise_div
             "y": np.random.randint(1, 5, size=[5]).astype('float32')
         }
     x = fluid.layers.data(name="x", shape=[2,3,4,5], dtype='float32')
-    y = fluid.layers.data(name="y", shape=[3,4], dtype='float32')
+    y = fluid.layers.data(name="y", shape=[5], dtype='float32')
     z = fluid.layers.elementwise_div(x, y, axis=3)
     # z = x / y
     place = fluid.CPUPlace()

doc/fluid/api_cn/layers_cn/elementwise_mul_cn.rst

@@ -107,7 +107,7 @@ elementwise_mul
             "y": np.random.randint(1, 5, size=[5]).astype('float32')
         }
     x = fluid.layers.data(name="x", shape=[2,3,4,5], dtype='float32')
-    y = fluid.layers.data(name="y", shape=[3,4], dtype='float32')
+    y = fluid.layers.data(name="y", shape=[5], dtype='float32')
     z = fluid.layers.elementwise_mul(x, y, axis=3)
     # z = x * y
     place = fluid.CPUPlace()

doc/fluid/api_cn/layers_cn/elementwise_sub_cn.rst

@@ -107,7 +107,7 @@ elementwise_sub
             "y": np.random.randint(1, 5, size=[5]).astype('float32')
         }
     x = fluid.layers.data(name="x", shape=[2,3,4,5], dtype='float32')
-    y = fluid.layers.data(name="y", shape=[3,4], dtype='float32')
+    y = fluid.layers.data(name="y", shape=[5], dtype='float32')
     z = fluid.layers.elementwise_sub(x, y, axis=3)
     # z = x - y
     place = fluid.CPUPlace()

doc/fluid/api_cn/layers_cn/scale_cn.rst

@@ -62,7 +62,7 @@ scale
     import numpy as np
 
     inputs = fluid.layers.data(name="x", shape=[2, 3], dtype='float32')
-    scale = fluid.layers.data(name="scale", shape=[1], dtype='float32'
+    scale = fluid.layers.data(name="scale", shape=[1], dtype='float32',
                               append_batch_size=False)
     output = fluid.layers.scale(inputs, scale = scale, bias = 1.0)
 

doc/fluid/api_cn/layers_cn/unique_cn.rst

@@ -27,7 +27,7 @@ unique为 ``x`` 返回一个unique张量和一个指向该unique张量的索引
 
     import numpy as np
     import paddle.fluid as fluid
-    x = fluid.assign(np.array([2, 3, 3, 1, 5, 3], dtype='int32'))
+    x = fluid.layers.assign(np.array([2, 3, 3, 1, 5, 3], dtype='int32'))
     out, index = fluid.layers.unique(x) # out is [2, 3, 1, 5]; index is [0, 1, 1, 2, 3, 1]