remove kwargs

paddle/fluid/API.spec

@@ -265,12 +265,12 @@ 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.softshrink ArgSpec(args=[], varargs='args', keywords='kwargs', defaults=None)
 paddle.fluid.layers.sigmoid ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,))
 paddle.fluid.layers.logsigmoid ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,))
 paddle.fluid.layers.exp ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,))
 paddle.fluid.layers.tanh ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,))
 paddle.fluid.layers.tanh_shrink ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,))
+paddle.fluid.layers.softshrink ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,))
 paddle.fluid.layers.sqrt ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,))
 paddle.fluid.layers.abs ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,))
 paddle.fluid.layers.ceil ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,))

python/paddle/fluid/layers/ops.py

@@ -21,6 +21,7 @@ __activations_noattr__ = [
     'exp',
     'tanh',
     'tanh_shrink',
+    'softshrink',
     'sqrt',
     'abs',
     'ceil',
@@ -52,7 +53,6 @@ __all__ = [
     'slice',
     'shape',
     'maxout',
-    'softshrink',
 ]
 
 for _OP in set(__all__):

python/paddle/fluid/tests/unittests/test_layers.py

@@ -758,6 +758,14 @@ class TestBook(unittest.TestCase):
             out = layers.expand(x, [1, 2])
         print(str(program))
 
+    def test_softshrink(self):
+        program = Program()
+        with program_guard(program):
+            input = layers.data(name="input", shape=[16], dtype="float32")
+            out = layers.softshrink(input, name='softshrink')
+            self.assertIsNotNone(out)
+        print(str(program))
+
 
 if __name__ == '__main__':
     unittest.main()