add tab format.

python/paddle/fluid/layers/nn.py

@@ -6843,8 +6843,8 @@ def elu(x, alpha=1.0, name=None):
 
         .. code-block:: python
 
-        x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32")
-        y = fluid.layers.elu(x, alpha=0.2)
+            x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32")
+            y = fluid.layers.elu(x, alpha=0.2)
     """
     helper = LayerHelper('elu', **locals())
     out = helper.create_variable_for_type_inference(dtype=x.dtype)
@@ -6873,8 +6873,8 @@ def relu6(x, threshold=6.0, name=None):
 
         .. code-block:: python
 
-        x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32")
-        y = fluid.layers.relu6(x, threshold=6.0)
+            x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32")
+            y = fluid.layers.relu6(x, threshold=6.0)
     """
     helper = LayerHelper('relu6', **locals())
     out = helper.create_variable_for_type_inference(dtype=x.dtype)
@@ -6903,8 +6903,8 @@ def pow(x, factor=1.0, name=None):
 
         .. code-block:: python
 
-        x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32")
-        y = fluid.layers.pow(x, factor=2.0)
+            x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32")
+            y = fluid.layers.pow(x, factor=2.0)
     """
     helper = LayerHelper('pow', **locals())
     out = helper.create_variable_for_type_inference(dtype=x.dtype)
@@ -6934,8 +6934,8 @@ def stanh(x, scale_a=2.0 / 3.0, scale_b=1.7159, name=None):
 
         .. code-block:: python
 
-        x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32")
-        y = fluid.layers.stanh(x, scale_a=0.6667, scale_b=1.7159)
+            x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32")
+            y = fluid.layers.stanh(x, scale_a=0.6667, scale_b=1.7159)
     """
     helper = LayerHelper('stanh', **locals())
     out = helper.create_variable_for_type_inference(dtype=x.dtype)
@@ -6966,8 +6966,8 @@ def hard_sigmoid(x, slope=0.2, offset=0.5, name=None):
 
         .. code-block:: python
 
-        x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32")
-        y = fluid.layers.hard_sigmoid(x, slope=0.3, offset=0.8)
+            x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32")
+            y = fluid.layers.hard_sigmoid(x, slope=0.3, offset=0.8)
     """
     helper = LayerHelper('hard_sigmoid', **locals())
     out = helper.create_variable_for_type_inference(dtype=x.dtype)
@@ -6997,8 +6997,8 @@ def swish(x, beta=1.0, name=None):
 
         .. code-block:: python
 
-        x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32")
-        y = fluid.layers.swish(x, beta=2.0)
+            x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32")
+            y = fluid.layers.swish(x, beta=2.0)
     """
     helper = LayerHelper('swish', **locals())
     out = helper.create_variable_for_type_inference(dtype=x.dtype)
@@ -7034,9 +7034,9 @@ def prelu(x, mode, param_attr=None, name=None):
 
         .. code-block:: python
 
-         x = fluid.layers.data(name="x", shape=[10,10], dtype="float32")
-         mode = 'channel'
-         output = fluid.layers.prelu(x,mode)
+            x = fluid.layers.data(name="x", shape=[10,10], dtype="float32")
+            mode = 'channel'
+            output = fluid.layers.prelu(x,mode)
     """
     helper = LayerHelper('prelu', **locals())
     if mode not in ['all', 'channel', 'element']: