diff --git a/paddle/fluid/API.spec b/paddle/fluid/API.spec
index ea9105d79c18310b16bdc81a7ab0e643e72c3965..e963902a50200b785284e8f233fcca1abf459140 100644
--- a/paddle/fluid/API.spec
+++ b/paddle/fluid/API.spec
@@ -155,8 +155,8 @@ paddle.fluid.layers.resize_bilinear ArgSpec(args=['input', 'out_shape', 'scale',
 paddle.fluid.layers.gather ArgSpec(args=['input', 'index'], varargs=None, keywords=None, defaults=None)
 paddle.fluid.layers.random_crop ArgSpec(args=['x', 'shape', 'seed'], varargs=None, keywords=None, defaults=(None,))
 paddle.fluid.layers.mean_iou ArgSpec(args=['input', 'label', 'num_classes'], varargs=None, keywords=None, defaults=None)
-paddle.fluid.layers.relu ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None)
-paddle.fluid.layers.log ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None)
+paddle.fluid.layers.relu ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,))
+paddle.fluid.layers.log ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,))
 paddle.fluid.layers.crop ArgSpec(args=['x', 'shape', 'offsets', 'name'], varargs=None, keywords=None, defaults=(None, None, None))
 paddle.fluid.layers.rank_loss ArgSpec(args=['label', 'left', 'right', 'name'], varargs=None, keywords=None, defaults=(None,))
 paddle.fluid.layers.prelu ArgSpec(args=['x', 'mode', 'param_attr', 'name'], varargs=None, keywords=None, defaults=(None, None))
diff --git a/python/paddle/fluid/layers/nn.py b/python/paddle/fluid/layers/nn.py
index 3e50fc91d92d0b338f2c0282e3e61bfda6e5edbc..be852b67119182cc817495b5e993c872cb9a88bf 100644
--- a/python/paddle/fluid/layers/nn.py
+++ b/python/paddle/fluid/layers/nn.py
@@ -5090,7 +5090,7 @@ def random_crop(x, shape, seed=None):
     return out
 
 
-def log(x):
+def log(x, name=None):
     """
     Calculates the natural log of the given input tensor, element-wise.
 
@@ -5100,6 +5100,8 @@ def log(x):
 
     Args:
         x (Variable): Input tensor.
+        name (str|None, default None): A name for this layer If set None,
+            the layer will be named automatically.
 
     Returns:
         Variable: The natural log of the input tensor computed element-wise.
@@ -5117,7 +5119,7 @@ def log(x):
     return out
 
 
-def relu(x):
+def relu(x, name=None):
     """
     Relu takes one input data (Tensor) and produces one output data (Tensor)
     where the rectified linear function, y = max(0, x), is applied to
@@ -5129,6 +5131,8 @@ def relu(x):
 
     Args:
         x (Variable): The input tensor.
+        name (str|None, default None): A name for this layer If set None,
+            the layer will be named automatically.
 
     Returns:
         Variable: The output tensor with the same shape as input.