diff --git a/cmake/external/protobuf.cmake b/cmake/external/protobuf.cmake
index 6f9078c8eeecd2f74541b478313169af2c19a554..5903edebae825f70c986ad6021d9584f0225d372 100755
--- a/cmake/external/protobuf.cmake
+++ b/cmake/external/protobuf.cmake
@@ -268,8 +268,6 @@ function(build_protobuf TARGET_NAME BUILD_FOR_HOST)
       DOWNLOAD_DIR ${PROTOBUF_SOURCE_DIR}
       DOWNLOAD_COMMAND rm -rf arm_protobuf.tar.gz && wget --no-check-certificate
                        ${ARM_PROTOBUF_URL} && tar zxvf arm_protobuf.tar.gz
-      #DOWNLOAD_COMMAND    cp /home/wangbin44/Paddle/build/arm_protobuf.tar.gz .
-      #                    && tar zxvf arm_protobuf.tar.gz
       UPDATE_COMMAND ""
       CMAKE_ARGS -DCMAKE_INSTALL_PREFIX:PATH=${PROTOBUF_INSTALL_DIR}
                  -DCMAKE_BUILD_TYPE:STRING=${THIRD_PARTY_BUILD_TYPE}
diff --git a/cmake/external/xxhash.cmake b/cmake/external/xxhash.cmake
index 6e685bbde402e8db05d6ec52cbca2a82133a8823..648a060f9b7e80734d838460c461b4851e1fb3c4 100644
--- a/cmake/external/xxhash.cmake
+++ b/cmake/external/xxhash.cmake
@@ -97,5 +97,4 @@ endif()
 
 add_library(xxhash STATIC IMPORTED GLOBAL)
 set_property(TARGET xxhash PROPERTY IMPORTED_LOCATION ${XXHASH_LIBRARIES})
-include_directories(${XXHASH_INCLUDE_DIR})
 add_dependencies(xxhash extern_xxhash)
diff --git a/paddle/fluid/eager/pylayer/py_layer_node.h b/paddle/fluid/eager/pylayer/py_layer_node.h
index f1166c362e147b3d53ef7c5ef536d4d30da5e4d8..18c48b62c4f5242be88dc30171ab401ee2a76185 100644
--- a/paddle/fluid/eager/pylayer/py_layer_node.h
+++ b/paddle/fluid/eager/pylayer/py_layer_node.h
@@ -45,7 +45,7 @@ class GradNodePyLayer : public GradNodeBase {
 
   void ClearTensorWrappers() override { VLOG(6) << "Do nothing here now"; }
 
-  std::string name() {
+  std::string name() override {
     return "GradNodePyLayer_" + std::string(Py_TYPE(ctx_)->tp_name);
   }
 
diff --git a/paddle/fluid/inference/capi_exp/CMakeLists.txt b/paddle/fluid/inference/capi_exp/CMakeLists.txt
index 089a766b91cfe4aa498f1822d5c97aef64957ad9..26d76c280bd6bada7c3363fb61b1a684c1359265 100644
--- a/paddle/fluid/inference/capi_exp/CMakeLists.txt
+++ b/paddle/fluid/inference/capi_exp/CMakeLists.txt
@@ -31,6 +31,18 @@ cc_library(
   DEPS paddle_inference)
 set_target_properties(paddle_inference_c_shared PROPERTIES OUTPUT_NAME
                                                            paddle_inference_c)
+
+if(APPLE)
+  target_link_libraries(
+    paddle_inference_c_shared
+    xxhash
+    utf8proc
+    cryptopp
+    protobuf
+    gflags
+    cblas)
+endif()
+
 if(WIN32)
   target_link_libraries(paddle_inference_c_shared shlwapi.lib)
 endif()
diff --git a/paddle/fluid/operators/abs_op.cc b/paddle/fluid/operators/abs_op.cc
index 465637f3ed63e773d37abb8e04a142cd8be7fa83..9a2a75a642ab7465e16f102564916deceff23670 100644
--- a/paddle/fluid/operators/abs_op.cc
+++ b/paddle/fluid/operators/abs_op.cc
@@ -154,7 +154,7 @@ class AbsDoubleGradOp : public framework::OperatorWithKernel {
   framework::OpKernelType GetKernelTypeForVar(
       const std::string& var_name,
       const framework::Tensor& tensor,
-      const framework::OpKernelType& expected_kernel_type) const {
+      const framework::OpKernelType& expected_kernel_type) const override {
     return framework::OpKernelType(
         framework::TransToProtoVarType(tensor.dtype()),
         tensor.place(),
diff --git a/paddle/fluid/operators/activation_op.cc b/paddle/fluid/operators/activation_op.cc
index 1337533f3bbfe67e53fd9ce9ef6f6204bd8cfef2..29e5e9c0acef4ad3dc9abfbea9847b2507e0eade 100644
--- a/paddle/fluid/operators/activation_op.cc
+++ b/paddle/fluid/operators/activation_op.cc
@@ -125,7 +125,7 @@ class ActivationOp : public framework::OperatorWithKernel {
   framework::OpKernelType GetKernelTypeForVar(
       const std::string& var_name,
       const Tensor& tensor,
-      const framework::OpKernelType& expected_kernel_type) const {
+      const framework::OpKernelType& expected_kernel_type) const override {
 #ifdef PADDLE_WITH_MKLDNN
     // When activation is first oneDNN op (there was some non oneDNN op
     // previously)
diff --git a/paddle/fluid/operators/cross_entropy_op.cc b/paddle/fluid/operators/cross_entropy_op.cc
index 0d98f5b75e4fb961b2a70ded655a42ccc5b03c14..a02bf699b32dd5806776e40c39f0637a05206968 100644
--- a/paddle/fluid/operators/cross_entropy_op.cc
+++ b/paddle/fluid/operators/cross_entropy_op.cc
@@ -142,7 +142,7 @@ class CrossEntropyGradientOpBase : public framework::OperatorWithKernel {
  public:
   using framework::OperatorWithKernel::OperatorWithKernel;
 
-  void InferShape(framework::InferShapeContext* ctx) const {
+  void InferShape(framework::InferShapeContext* ctx) const override {
     OP_INOUT_CHECK(
         ctx->HasInput("Label"), "Input", "Label", "CrossEntropyGradientOpBase");
     OP_INOUT_CHECK(ctx->HasInput(framework::GradVarName("Y")),
diff --git a/paddle/fluid/operators/dequantize_abs_max_op.cc b/paddle/fluid/operators/dequantize_abs_max_op.cc
index 64807329a4043a97c4f4dd43466916e0b87ee745..ff4bb5f53341bdd25d1d883c02d85e1b824b8724 100644
--- a/paddle/fluid/operators/dequantize_abs_max_op.cc
+++ b/paddle/fluid/operators/dequantize_abs_max_op.cc
@@ -69,7 +69,7 @@ class DequantizeMaxAbsOp : public framework::OperatorWithKernel {
   }
 
   framework::OpKernelType GetExpectedKernelType(
-      const framework::ExecutionContext& ctx) const {
+      const framework::ExecutionContext& ctx) const override {
     auto data_type = OperatorWithKernel::IndicateVarDataType(ctx, "X");
     auto type = framework::OpKernelType(data_type, ctx.device_context());
     return type;
diff --git a/paddle/fluid/operators/dequantize_log_op.cc b/paddle/fluid/operators/dequantize_log_op.cc
index c80c050b14afd75881a8a8c424291dd3d1d207cc..b3c1770493c9c6dbbc630a5221c7839efaffbd3e 100644
--- a/paddle/fluid/operators/dequantize_log_op.cc
+++ b/paddle/fluid/operators/dequantize_log_op.cc
@@ -76,7 +76,7 @@ class DequantizeLogOp : public framework::OperatorWithKernel {
   }
 
   framework::OpKernelType GetExpectedKernelType(
-      const framework::ExecutionContext& ctx) const {
+      const framework::ExecutionContext& ctx) const override {
     auto data_type = OperatorWithKernel::IndicateVarDataType(ctx, "X");
     auto type = framework::OpKernelType(data_type, ctx.device_context());
     return type;
diff --git a/paddle/fluid/operators/kron_op.cc b/paddle/fluid/operators/kron_op.cc
index cede00d5b01ec1a04476677096ced552d1ee077e..5f7606265e4e799873994fbe7f4213e3a21fa3ba 100644
--- a/paddle/fluid/operators/kron_op.cc
+++ b/paddle/fluid/operators/kron_op.cc
@@ -39,7 +39,7 @@ class KronOp : public framework::OperatorWithKernel {
   framework::OpKernelType GetKernelTypeForVar(
       const std::string& var_name,
       const framework::Tensor& tensor,
-      const framework::OpKernelType& expected_kernel_type) const {
+      const framework::OpKernelType& expected_kernel_type) const override {
     if (framework::IsComplexType(expected_kernel_type.data_type_)) {
       // only promote inputs’s types when contains complex input
       return framework::OpKernelType(
@@ -121,7 +121,7 @@ class KronGradOp : public framework::OperatorWithKernel {
   framework::OpKernelType GetKernelTypeForVar(
       const std::string& var_name,
       const framework::Tensor& tensor,
-      const framework::OpKernelType& expected_kernel_type) const {
+      const framework::OpKernelType& expected_kernel_type) const override {
     if (framework::IsComplexType(expected_kernel_type.data_type_)) {
       // only promote inputs’s types when contains complex input
       return framework::OpKernelType(
diff --git a/paddle/fluid/operators/matmul_op.cc b/paddle/fluid/operators/matmul_op.cc
index a31c218307b9c195d00b66e0197a22b8328e082b..a49ceb42559c5cf86ae467787525e637300b52a4 100644
--- a/paddle/fluid/operators/matmul_op.cc
+++ b/paddle/fluid/operators/matmul_op.cc
@@ -714,7 +714,7 @@ class MatMulOp : public framework::OperatorWithKernel {
   framework::OpKernelType GetKernelTypeForVar(
       const std::string &var_name,
       const framework::Tensor &tensor,
-      const framework::OpKernelType &expected_kernel_type) const {
+      const framework::OpKernelType &expected_kernel_type) const override {
     if (framework::IsComplexType(expected_kernel_type.data_type_)) {
       // only promote inputs’s types when contains complex input
       return framework::OpKernelType(
diff --git a/paddle/fluid/operators/matmul_v2_op.cc b/paddle/fluid/operators/matmul_v2_op.cc
index 8f233d7650dafa203bbf3df462662bb6dd260677..b1483c3fd6e557d64a078b5a129571943ac26b7e 100644
--- a/paddle/fluid/operators/matmul_v2_op.cc
+++ b/paddle/fluid/operators/matmul_v2_op.cc
@@ -150,7 +150,7 @@ class MatMulV2Op : public framework::OperatorWithKernel {
   framework::OpKernelType GetKernelTypeForVar(
       const std::string& var_name,
       const framework::Tensor& tensor,
-      const framework::OpKernelType& expected_kernel_type) const {
+      const framework::OpKernelType& expected_kernel_type) const override {
     if (framework::IsComplexType(expected_kernel_type.data_type_)) {
       // only promote inputs’s types when contains complex input
       return framework::OpKernelType(
@@ -225,7 +225,7 @@ class MatMulV2OpGrad : public framework::OperatorWithKernel {
   framework::OpKernelType GetKernelTypeForVar(
       const std::string& var_name,
       const framework::Tensor& tensor,
-      const framework::OpKernelType& expected_kernel_type) const {
+      const framework::OpKernelType& expected_kernel_type) const override {
     if (framework::IsComplexType(expected_kernel_type.data_type_)) {
       // only promote inputs’s types when contains complex input
       return framework::OpKernelType(
diff --git a/paddle/fluid/operators/pad3d_op.cc b/paddle/fluid/operators/pad3d_op.cc
index 301c21b2fcdcf38c4acd404929d841a9163311fd..02d2eab181bcf8329b0d89ef67e91d409047f732 100644
--- a/paddle/fluid/operators/pad3d_op.cc
+++ b/paddle/fluid/operators/pad3d_op.cc
@@ -54,7 +54,7 @@ class Pad3dOp : public framework::OperatorWithKernel {
   framework::OpKernelType GetKernelTypeForVar(
       const std::string& var_name,
       const Tensor& tensor,
-      const framework::OpKernelType& expected_kernel_type) const {
+      const framework::OpKernelType& expected_kernel_type) const override {
 #ifdef PADDLE_WITH_MKLDNN
     if ((expected_kernel_type.data_layout_ == framework::DataLayout::kMKLDNN) &&
         (tensor.layout() != framework::DataLayout::kMKLDNN)) {
diff --git a/paddle/fluid/operators/prelu_op.cc b/paddle/fluid/operators/prelu_op.cc
index df58a2abe87b533310d11feb6dfd87dda21066ca..f7abaf648ebcfd195921bc015a9c6b770045b166 100644
--- a/paddle/fluid/operators/prelu_op.cc
+++ b/paddle/fluid/operators/prelu_op.cc
@@ -71,7 +71,7 @@ class PReluOp : public framework::OperatorWithKernel {
   framework::OpKernelType GetKernelTypeForVar(
       const std::string &var_name,
       const Tensor &tensor,
-      const framework::OpKernelType &expected_kernel_type) const {
+      const framework::OpKernelType &expected_kernel_type) const override {
     return innerGetKernelTypeForVar(tensor, expected_kernel_type);
   }
 };
@@ -150,7 +150,7 @@ class PReluGradOp : public framework::OperatorWithKernel {
   framework::OpKernelType GetKernelTypeForVar(
       const std::string &var_name,
       const Tensor &tensor,
-      const framework::OpKernelType &expected_kernel_type) const {
+      const framework::OpKernelType &expected_kernel_type) const override {
     return innerGetKernelTypeForVar(tensor, expected_kernel_type);
   }
 };
diff --git a/paddle/phi/core/string_tensor.h b/paddle/phi/core/string_tensor.h
index 0391099faab71b5166bd5e1396ff65d11f9cf77e..80d6b69aa6c663fd0a212a37f312005fd55e7f35 100644
--- a/paddle/phi/core/string_tensor.h
+++ b/paddle/phi/core/string_tensor.h
@@ -123,7 +123,7 @@ class StringTensor : public TensorBase,
   }
   void* AllocateFrom(Allocator* allocator,
                      DataType dtype,
-                     size_t requested_size = 0);
+                     size_t requested_size = 0) override;
   dtype::pstring* mutable_data(const phi::Place& place,
                                size_t requested_size = 0);
 
diff --git a/paddle/phi/core/tensor_array.h b/paddle/phi/core/tensor_array.h
index ade33099eee312c80f9adceb1c1c0ed2bede0f7f..6d834a9375a26ebec24a9195858ab36dd585127f 100644
--- a/paddle/phi/core/tensor_array.h
+++ b/paddle/phi/core/tensor_array.h
@@ -83,7 +83,7 @@ class TensorArray : public TensorBase,
   /// \return Void pointer
   void* AllocateFrom(Allocator* allocator,
                      DataType dtype,
-                     size_t requested_size = 0);
+                     size_t requested_size = 0) override;
 
   bool empty() const { return tensors_.empty(); }