diff --git a/paddle/phi/api/yaml/op_compat.yaml b/paddle/phi/api/yaml/op_compat.yaml
index 0c306362c8e5443c29f671f8edf8c0b01ffbaa42..cf74daf29083a0863b4ea982b0682aaf2189a7c4 100755
--- a/paddle/phi/api/yaml/op_compat.yaml
+++ b/paddle/phi/api/yaml/op_compat.yaml
@@ -1979,7 +1979,7 @@
     pool2d_double_grad : GetPoolDoubleGradExpectedKernelType
   extra :
     attrs : [bool use_mkldnn = false, bool use_quantizer = false,
-              str mkldnn_data_type = "float32", bool is_test = false, bool use_cudnn = false]
+              str mkldnn_data_type = "float32", bool is_test = false]
 
 - op : pool3d
   backward : pool3d_grad
@@ -1993,7 +1993,7 @@
     pool3d : GetPoolExpectedKernelType
     pool3d_grad : GetPoolExpectedKernelType
   extra :
-    attrs : [bool use_mkldnn = false, bool use_cudnn = false]
+    attrs : [bool use_mkldnn = false]
 
 - op : pow
   backward : pow_grad, pow_double_grad, pow_triple_grad
diff --git a/paddle/phi/api/yaml/static_ops.yaml b/paddle/phi/api/yaml/static_ops.yaml
index 80de8b31ba64166c267e1e9967fe7db2bd422caa..71255a310bde9bb42d1a69356a49b02e70bb4fc9 100755
--- a/paddle/phi/api/yaml/static_ops.yaml
+++ b/paddle/phi/api/yaml/static_ops.yaml
@@ -412,7 +412,7 @@
     param : [peer, dtype, out_shape]
 
 - op : pool2d
-  args : (Tensor x, IntArray kernel_size, int[] strides = {1,1}, int[] paddings = {0,0}, bool ceil_mode = false, bool exclusive = true, str data_format = "NCHW", str pooling_type = "", bool global_pooling = false, bool adaptive = false, str padding_algorithm = "EXPLICIT")
+  args : (Tensor x, IntArray kernel_size, int[] strides = {1,1}, int[] paddings = {0,0}, bool ceil_mode = false, bool exclusive = true, str data_format = "NCHW", str pooling_type = "", bool global_pooling = false, bool adaptive = false, str padding_algorithm = "EXPLICIT", bool use_cudnn = false)
   output : Tensor(out)
   infer_meta :
     func : Pool2DInferMeta
@@ -423,7 +423,7 @@
   backward : pool2d_grad
 
 - op : pool3d
-  args : (Tensor x, int[] kernel_size, int[] strides = {1,1,1}, int[] paddings = {0,0,0}, bool ceil_mode = false, bool exclusive = true, str data_format = "NCDHW", str pooling_type = "", bool global_pooling = false, bool adaptive = false, str padding_algorithm = "EXPLICIT")
+  args : (Tensor x, int[] kernel_size, int[] strides = {1,1,1}, int[] paddings = {0,0,0}, bool ceil_mode = false, bool exclusive = true, str data_format = "NCDHW", str pooling_type = "", bool global_pooling = false, bool adaptive = false, str padding_algorithm = "EXPLICIT",  bool use_cudnn = false)
   output : Tensor(out)
   infer_meta :
     func : PoolInferMeta