[PHI] rrelu add yaml (#49779)

* [PHI] rrelu add yaml

* polish

* polish

paddle/phi/api/yaml/legacy_backward.yaml

@@ -1151,6 +1151,17 @@
     data_type : x
   optional : boxes_num
 
+- backward_op : rrelu_grad
+  forward : rrelu (Tensor x, float lower, float upper, bool is_test) -> Tensor(out), Tensor(noise)
+  args : (Tensor x, Tensor noise, Tensor out_grad)
+  output : Tensor(x_grad)
+  infer_meta :
+    func : RReluGradInferMeta
+    param : [out_grad, noise]
+  kernel :
+    func : rrelu_grad
+    data_type : x
+
 - backward_op : scale_grad
   forward : scale (Tensor x, Scalar scale, float bias, bool bias_after_scale) -> Tensor(out)
   args : (Tensor out_grad, Scalar scale=1.0, bool bias_after_scale=true)

paddle/phi/api/yaml/legacy_ops.yaml

@@ -1537,6 +1537,17 @@
   intermediate : arg_max
   backward : roi_pool_grad
 
+- op : rrelu
+  args : (Tensor x, float lower, float upper, bool is_test)
+  output : Tensor(out), Tensor(noise)
+  infer_meta :
+    func : RReluInferMeta
+  kernel :
+    func : rrelu
+    data_type : x
+  intermediate : noise
+  backward : rrelu_grad
+
 - op : scale
   args : (Tensor x, Scalar scale, float bias, bool bias_after_scale)
   output : Tensor(out)

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

@@ -311,6 +311,10 @@ class TestFunctionalRReluAPI(unittest.TestCase):
         self.assertRaises(ValueError, error_lower_upper)
 
 
+def rrelu(x, lower, upper, training):
+    return paddle.nn.functional.rrelu(x, lower, upper, training=not training)
+
+
 class RReluTest(OpTest):
     def setUp(self):
         self.op_type = "rrelu"
@@ -318,6 +322,10 @@ class RReluTest(OpTest):
         self.upper = 0.3
         self.is_test = True
         self.init_params()
+        self.python_api = rrelu
+        self.python_out_sig = [
+            "Out"
+        ]  # python out sig is customized output signature.
 
     def init_params(self):
         self.dtype = "float64"
@@ -337,10 +345,10 @@ class RReluTest(OpTest):
         }
 
     def test_check_output(self):
-        self.check_output()
+        self.check_output(no_check_set=['Noise'], check_eager=True)
 
     def test_check_grad(self):
-        self.check_grad(['X'], 'Out')
+        self.check_grad(['X'], 'Out', check_eager=True)
 
 
 class RReluTrainingTest(RReluTest):
@@ -350,6 +358,10 @@ class RReluTrainingTest(RReluTest):
         self.upper = 0.300000009
         self.is_test = False
         self.init_params()
+        self.python_api = rrelu
+        self.python_out_sig = [
+            "Out"
+        ]  # python out sig is customized output signature.
 
 
 if __name__ == "__main__":

python/paddle/fluid/tests/unittests/white_list/no_check_set_white_list.py

@@ -37,4 +37,5 @@ no_check_set_white_list = [
     'class_center_sample',
     'einsum',
     'rmsprop',
+    'rrelu',
 ]

python/paddle/nn/functional/activation.py

@@ -654,10 +654,7 @@ def rrelu(x, lower=1.0 / 8.0, upper=1.0 / 3.0, training=True, name=None):
     is_test = not training
 
     if in_dygraph_mode():
-        out, noise = _legacy_C_ops.rrelu(
-            x, 'lower', lower, 'upper', upper, 'is_test', is_test
-        )
-        return out
+        return _C_ops.rrelu(x, lower, upper, is_test)
     else:
         check_variable_and_dtype(
             x, 'X', ['float16', 'float32', 'float64'], 'rrelu'