diff --git a/paddle/fluid/API.spec b/paddle/fluid/API.spec
index 21c9ae382750b719b1dc2b0f1b1c809973b04574..a9b446d8c0b1e5f186a00cbda475e7517ff594ba 100644
--- a/paddle/fluid/API.spec
+++ b/paddle/fluid/API.spec
@@ -182,13 +182,13 @@ paddle.fluid.layers.sequence_enumerate (ArgSpec(args=['input', 'win_size', 'pad_
 paddle.fluid.layers.expand (ArgSpec(args=['x', 'expand_times', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '117d3607d1ffa0571835bbaebc7857ff'))
 paddle.fluid.layers.sequence_concat (ArgSpec(args=['input', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '3a1d155dd1bf6e72a0a3e3e1519591d1'))
 paddle.fluid.layers.scale (ArgSpec(args=['x', 'scale', 'bias', 'bias_after_scale', 'act', 'name'], varargs=None, keywords=None, defaults=(1.0, 0.0, True, None, None)), ('document', '30190413b2fa442e7466d6cf2ce5ea07'))
-paddle.fluid.layers.elementwise_add (ArgSpec(args=['x', 'y', 'axis', 'act', 'name'], varargs=None, keywords=None, defaults=(-1, None, None)), ('document', '6bfbe72cbadc95ac7ab88c05ed5bf9f0'))
-paddle.fluid.layers.elementwise_div (ArgSpec(args=['x', 'y', 'axis', 'act', 'name'], varargs=None, keywords=None, defaults=(-1, None, None)), ('document', 'cc6e6cc1cb942a152dde3ef08d5f165c'))
-paddle.fluid.layers.elementwise_sub (ArgSpec(args=['x', 'y', 'axis', 'act', 'name'], varargs=None, keywords=None, defaults=(-1, None, None)), ('document', 'a12abdab09c3e57af5a6e1e9f138684a'))
-paddle.fluid.layers.elementwise_mul (ArgSpec(args=['x', 'y', 'axis', 'act', 'name'], varargs=None, keywords=None, defaults=(-1, None, None)), ('document', '422c77dbfcff355a57b5fdd4ec876daa'))
-paddle.fluid.layers.elementwise_max (ArgSpec(args=['x', 'y', 'axis', 'act', 'name'], varargs=None, keywords=None, defaults=(-1, None, None)), ('document', 'f0bb0b2c454541cfafa761021a5cc776'))
-paddle.fluid.layers.elementwise_min (ArgSpec(args=['x', 'y', 'axis', 'act', 'name'], varargs=None, keywords=None, defaults=(-1, None, None)), ('document', '8a9cdefefbccbf9f6b0991c0946a21e9'))
-paddle.fluid.layers.elementwise_pow (ArgSpec(args=['x', 'y', 'axis', 'act', 'name'], varargs=None, keywords=None, defaults=(-1, None, None)), ('document', '1aea4e197c552a284f83888a3c67a32e'))
+paddle.fluid.layers.elementwise_add (ArgSpec(args=['x', 'y', 'axis', 'act', 'name'], varargs=None, keywords=None, defaults=(-1, None, None)), ('document', '210ee7e597f429f836a21b298991ef85'))
+paddle.fluid.layers.elementwise_div (ArgSpec(args=['x', 'y', 'axis', 'act', 'name'], varargs=None, keywords=None, defaults=(-1, None, None)), ('document', '9ce91719cf4a05de9a817e9ff2387ee8'))
+paddle.fluid.layers.elementwise_sub (ArgSpec(args=['x', 'y', 'axis', 'act', 'name'], varargs=None, keywords=None, defaults=(-1, None, None)), ('document', 'c66c50b550bc547b6c61d15c1f3ee2ab'))
+paddle.fluid.layers.elementwise_mul (ArgSpec(args=['x', 'y', 'axis', 'act', 'name'], varargs=None, keywords=None, defaults=(-1, None, None)), ('document', 'e6919013e5369c7b0d486b8604da6b2f'))
+paddle.fluid.layers.elementwise_max (ArgSpec(args=['x', 'y', 'axis', 'act', 'name'], varargs=None, keywords=None, defaults=(-1, None, None)), ('document', 'f839de1318c794f26b9f5aafcd2ad92f'))
+paddle.fluid.layers.elementwise_min (ArgSpec(args=['x', 'y', 'axis', 'act', 'name'], varargs=None, keywords=None, defaults=(-1, None, None)), ('document', 'c37aa719815585f2c20623f92e738d54'))
+paddle.fluid.layers.elementwise_pow (ArgSpec(args=['x', 'y', 'axis', 'act', 'name'], varargs=None, keywords=None, defaults=(-1, None, None)), ('document', '984e0e72db2a3b4241a694499f8d76c8'))
 paddle.fluid.layers.uniform_random_batch_size_like (ArgSpec(args=['input', 'shape', 'dtype', 'input_dim_idx', 'output_dim_idx', 'min', 'max', 'seed'], varargs=None, keywords=None, defaults=('float32', 0, 0, -1.0, 1.0, 0)), ('document', '129e0a3257f1d532a948eedf9d5bf671'))
 paddle.fluid.layers.gaussian_random (ArgSpec(args=['shape', 'mean', 'std', 'seed', 'dtype'], varargs=None, keywords=None, defaults=(0.0, 1.0, 0, 'float32')), ('document', '389dafe36e099841b6a7fb18d11f1b4c'))
 paddle.fluid.layers.sampling_id (ArgSpec(args=['x', 'min', 'max', 'seed', 'dtype'], varargs=None, keywords=None, defaults=(0.0, 1.0, 0, 'float32')), ('document', '35428949368cad5121dd37f8522ef8b0'))
diff --git a/paddle/fluid/operators/elementwise/elementwise_op.h b/paddle/fluid/operators/elementwise/elementwise_op.h
index 22d1d0dfbe47b1585998748c29ddb0baa407256f..5ec335972a02a3a6911274ba7609f50665f3d0e0 100644
--- a/paddle/fluid/operators/elementwise/elementwise_op.h
+++ b/paddle/fluid/operators/elementwise/elementwise_op.h
@@ -145,7 +145,7 @@ For case 2:
 
 For example:
 
-  .. code-block:: python
+  .. code-block:: text
 
     shape(X) = (2, 3, 4, 5), shape(Y) = (,)
     shape(X) = (2, 3, 4, 5), shape(Y) = (5,)
diff --git a/python/paddle/fluid/optimizer.py b/python/paddle/fluid/optimizer.py
index 28126b72a429714dfe66ae709e31d99d843fab74..69bbef77f85bd25674235fbe0a54e9a70d43e714 100644
--- a/python/paddle/fluid/optimizer.py
+++ b/python/paddle/fluid/optimizer.py
@@ -679,12 +679,11 @@ class DGCMomentumOptimizer(MomentumOptimizer):
         .. code-block:: python
 
             optimizer = fluid.optimizer.DGCMomentumOptimizer(
-                learning_rate=fluid.layers.piecewise_decay(
-                    boundaries=bd, values=lr),
-                momentum=0.9,
-                rampup_begin_step=1252,
-                regularization=fluid.regularizer.L2Decay(1e-4))
-            optimizer.minimize(cost)
+                        learning_rate=0.0001,
+                        momentum=0.9,
+                        rampup_step=1000,
+                        rampup_begin_step=1252,
+                        sparsity=[0.999, 0.999])
 
     """