remove kwargs of some activation api

paddle/fluid/API.spec

@@ -257,23 +257,23 @@ paddle.fluid.layers.sum ArgSpec(args=[], varargs='args', keywords='kwargs', defa
 paddle.fluid.layers.slice ArgSpec(args=[], varargs='args', keywords='kwargs', defaults=None)
 paddle.fluid.layers.shape ArgSpec(args=[], varargs='args', keywords='kwargs', defaults=None)
 paddle.fluid.layers.maxout ArgSpec(args=[], varargs='args', keywords='kwargs', defaults=None)
-paddle.fluid.layers.sigmoid ArgSpec(args=[], varargs='args', keywords='kwargs', defaults=None)
-paddle.fluid.layers.logsigmoid ArgSpec(args=[], varargs='args', keywords='kwargs', defaults=None)
-paddle.fluid.layers.exp ArgSpec(args=[], varargs='args', keywords='kwargs', defaults=None)
-paddle.fluid.layers.tanh ArgSpec(args=[], varargs='args', keywords='kwargs', defaults=None)
-paddle.fluid.layers.tanh_shrink ArgSpec(args=[], varargs='args', keywords='kwargs', defaults=None)
+paddle.fluid.layers.sigmoid ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None)
+paddle.fluid.layers.logsigmoid ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None)
+paddle.fluid.layers.exp ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None)
+paddle.fluid.layers.tanh ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None)
+paddle.fluid.layers.tanh_shrink ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None)
 paddle.fluid.layers.softshrink ArgSpec(args=[], varargs='args', keywords='kwargs', defaults=None)
-paddle.fluid.layers.sqrt ArgSpec(args=[], varargs='args', keywords='kwargs', defaults=None)
-paddle.fluid.layers.abs ArgSpec(args=[], varargs='args', keywords='kwargs', defaults=None)
-paddle.fluid.layers.ceil ArgSpec(args=[], varargs='args', keywords='kwargs', defaults=None)
-paddle.fluid.layers.floor ArgSpec(args=[], varargs='args', keywords='kwargs', defaults=None)
-paddle.fluid.layers.cos ArgSpec(args=[], varargs='args', keywords='kwargs', defaults=None)
-paddle.fluid.layers.sin ArgSpec(args=[], varargs='args', keywords='kwargs', defaults=None)
-paddle.fluid.layers.round ArgSpec(args=[], varargs='args', keywords='kwargs', defaults=None)
-paddle.fluid.layers.reciprocal ArgSpec(args=[], varargs='args', keywords='kwargs', defaults=None)
-paddle.fluid.layers.square ArgSpec(args=[], varargs='args', keywords='kwargs', defaults=None)
-paddle.fluid.layers.softplus ArgSpec(args=[], varargs='args', keywords='kwargs', defaults=None)
-paddle.fluid.layers.softsign ArgSpec(args=[], varargs='args', keywords='kwargs', defaults=None)
+paddle.fluid.layers.sqrt ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None)
+paddle.fluid.layers.abs ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None)
+paddle.fluid.layers.ceil ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None)
+paddle.fluid.layers.floor ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None)
+paddle.fluid.layers.cos ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None)
+paddle.fluid.layers.sin ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None)
+paddle.fluid.layers.round ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None)
+paddle.fluid.layers.reciprocal ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None)
+paddle.fluid.layers.square ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None)
+paddle.fluid.layers.softplus ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None)
+paddle.fluid.layers.softsign ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None)
 paddle.fluid.layers.brelu ArgSpec(args=[], varargs='args', keywords='kwargs', defaults=None)
 paddle.fluid.layers.leaky_relu ArgSpec(args=[], varargs='args', keywords='kwargs', defaults=None)
 paddle.fluid.layers.soft_relu ArgSpec(args=[], varargs='args', keywords='kwargs', defaults=None)

python/paddle/fluid/layers/layer_function_generator.py

@@ -23,7 +23,10 @@ from ..proto import framework_pb2
 from ..framework import OpProtoHolder, Variable
 from ..layer_helper import LayerHelper
 
-__all__ = ['deprecated', 'generate_layer_fn', 'autodoc', 'templatedoc']
+__all__ = [
+    'deprecated', 'generate_layer_fn', 'generate_layer_fn_noattr', 'autodoc',
+    'templatedoc'
+]
 
 
 def _convert_(name):
@@ -205,6 +208,30 @@ def generate_layer_fn(op_type):
     return func
 
 
+def generate_layer_fn_noattr(op_type):
+    """Register the Python layer for an Operator without Attribute.
+
+    Args:
+       op_type: The name of the operator to be created.
+
+    This function takes in the operator type (sigmoid, exp , tanh etc) and
+    creates the operator functionality.
+
+    """
+    op_proto = OpProtoHolder.instance().get_op_proto(op_type)
+
+    def func(x):
+        helper = LayerHelper(op_type, **locals())
+        output = helper.create_tmp_variable(dtype=helper.input_dtype())
+        helper.append_op(
+            type=op_type, inputs={"X": [x]}, outputs={"Out": [output]})
+        return output
+
+    func.__name__ = op_type
+    func.__doc__ = _generate_doc_string_(op_proto)
+    return func
+
+
 def deprecated(func_or_class):
     """
     Deprecated warning decorator. It will result a warning message.

python/paddle/fluid/layers/ops.py

@@ -13,15 +13,27 @@
 # limitations under the License.
 
 from __future__ import print_function
-from .layer_function_generator import generate_layer_fn
+from .layer_function_generator import generate_layer_fn, generate_layer_fn_noattr
 
 __activations__ = [
+    'softshrink',
+    'brelu',
+    'leaky_relu',
+    'soft_relu',
+    'elu',
+    'relu6',
+    'pow',
+    'stanh',
+    'hard_sigmoid',
+    'swish',
+]
+
+__activations_noattr__ = [
     'sigmoid',
     'logsigmoid',
     'exp',
     'tanh',
     'tanh_shrink',
-    'softshrink',
     'sqrt',
     'abs',
     'ceil',
@@ -33,15 +45,6 @@ __activations__ = [
     'square',
     'softplus',
     'softsign',
-    'brelu',
-    'leaky_relu',
-    'soft_relu',
-    'elu',
-    'relu6',
-    'pow',
-    'stanh',
-    'hard_sigmoid',
-    'swish',
 ]
 
 __all__ = [
@@ -75,6 +78,11 @@ __all__ = [
 for _OP in set(__all__):
     globals()[_OP] = generate_layer_fn(_OP)
 
+__all__ += __activations_noattr__
+
+for _OP in set(__activations_noattr__):
+    globals()[_OP] = generate_layer_fn_noattr(_OP)
+
 __all__ += ["uniform_random"]
 
 _uniform_random_ = generate_layer_fn('uniform_random')