add autogen code support for reverse op

paddle/phi/api/yaml/backward.yaml

@@ -1277,6 +1277,12 @@
   kernel :
     func : renorm_grad
 
+- backward_op : reverse_grad
+  forward : reverse (Tensor x, IntArray axis) -> Tensor(out)
+  args : (Tensor out_grad, IntArray axis)
+  output : Tensor(x_grad)
+  invoke : reverse(out_grad, axis)
+
 - backward_op : roll_grad
   forward : roll(Tensor x, IntArray shifts, int64_t[] axis) -> Tensor(out)
   args : (Tensor x, Tensor out_grad, IntArray shifts, int64_t[] axis)

paddle/phi/api/yaml/legacy_backward.yaml

@@ -938,12 +938,6 @@
   backward : reshape_double_grad
   inplace : (out_grad -> x_grad)
 
-- backward_op : reverse_grad
-  forward : reverse (Tensor x, IntArray axis) -> Tensor(out)
-  args : (Tensor out_grad, IntArray axis)
-  output : Tensor(x_grad)
-  invoke : reverse(out_grad, axis)
-
 - backward_op : rnn_grad
   forward : rnn (Tensor x, Tensor[] pre_state, Tensor[] weight_list, Tensor sequence_length, Tensor dropout_state_in, float dropout_prob, bool is_bidirec, int input_size, int hidden_size, int num_layers, str mode, int seed, bool is_test) -> Tensor(out), Tensor(dropout_state_out), Tensor[](state), Tensor(reserve)
   args : (Tensor x, Tensor[] pre_state, Tensor[] weight_list, Tensor sequence_length, Tensor out, Tensor dropout_state_out, Tensor reserve, Tensor out_grad, Tensor[] state_grad, float dropout_prob, bool is_bidirec, int input_size, int hidden_size, int num_layers, str mode, int seed, bool is_test)

paddle/phi/api/yaml/legacy_ops.yaml

@@ -1215,15 +1215,6 @@
   intermediate : xshape
   backward: reshape_grad
 
-- op : reverse
-  args : (Tensor x, IntArray axis)
-  output : Tensor
-  infer_meta :
-    func : ReverseInferMeta
-  kernel :
-    func : reverse
-  backward : reverse_grad
-
 - op : rmsprop_
   args : (Tensor param, Tensor mean_square, Tensor grad, Tensor moment, Tensor learning_rate, Tensor mean_grad, Tensor master_param, float epsilon, float decay, float momentum, bool centered, bool multi_precision)
   output : Tensor(param_out), Tensor(moment_out), Tensor(mean_square_out), Tensor(mean_grad_out), Tensor(master_param_out)

paddle/phi/api/yaml/op_compat.yaml

@@ -1694,6 +1694,16 @@
   extra :
     attrs : [bool use_mkldnn = false, str mkldnn_data_type = "float32", bool use_quantizer = false]
 
+- op : reverse
+  inputs:
+    x : X
+  outputs:
+    out : Out
+  int_array:
+    axis :
+      data_type : int
+      support_tensor : true
+
 - op : roll
   backward : roll_grad
   inputs :

paddle/phi/api/yaml/ops.yaml

@@ -1350,6 +1350,15 @@
     func : renorm
   backward : renorm_grad
 
+- op : reverse
+  args : (Tensor x, IntArray axis)
+  output : Tensor
+  infer_meta :
+    func : ReverseInferMeta
+  kernel :
+    func : reverse
+  backward : reverse_grad
+
 - op : roll
   args : (Tensor x, IntArray shifts={}, int64_t[] axis={})
   output : Tensor(out)