remove some [-Wunused-parameter] warning (#53683)

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

paddle/fluid/operators/collective/global_gather_op.h

@@ -28,7 +28,7 @@ namespace operators {
 template <typename T, typename DeviceContext>
 class GlobalGatherOpCPUKernel : public framework::OpKernel<T> {
  public:
-  void Compute(const framework::ExecutionContext& ctx) const override {
+  void Compute(const framework::ExecutionContext& ctx UNUSED) const override {
     PADDLE_THROW(platform::errors::Unavailable(
         "Do not support global gather op for cpu kernel now."));
   }

paddle/fluid/operators/collective/global_scatter_op.h

@@ -28,7 +28,7 @@ namespace operators {
 template <typename T, typename DeviceContext>
 class GlobalScatterOpCPUKernel : public framework::OpKernel<T> {
  public:
-  void Compute(const framework::ExecutionContext& ctx) const override {
+  void Compute(const framework::ExecutionContext& ctx UNUSED) const override {
     PADDLE_THROW(platform::errors::Unavailable(
         "Do not support global scatter op for cpu kernel now."));
   }

paddle/fluid/operators/collective/partial_allgather_op.h

@@ -29,7 +29,7 @@ namespace operators {
 template <typename T, typename DeviceContext>
 class PartialAllGatherOpCPUKernel : public framework::OpKernel<T> {
  public:
-  void Compute(const framework::ExecutionContext& ctx) const override {
+  void Compute(const framework::ExecutionContext& ctx UNUSED) const override {
     PADDLE_THROW(platform::errors::Unavailable(
         "Do not support partial_allgather for cpu kernel now."));
   }

paddle/fluid/operators/collective/partial_recv_op.h

@@ -27,7 +27,7 @@ namespace operators {
 template <typename T, typename DeviceContext>
 class PartialRecvOpCPUKernel : public framework::OpKernel<T> {
  public:
-  void Compute(const framework::ExecutionContext& ctx) const override {
+  void Compute(const framework::ExecutionContext& ctx UNUSED) const override {
     PADDLE_THROW(platform::errors::Unavailable(
         "Do not support partial_recv for cpu kernel now."));
   }

paddle/fluid/operators/collective/partial_send_op.h

@@ -28,7 +28,7 @@ namespace operators {
 template <typename T, typename DeviceContext>
 class PartialSendOpCPUKernel : public framework::OpKernel<T> {
  public:
-  void Compute(const framework::ExecutionContext& ctx) const override {
+  void Compute(const framework::ExecutionContext& ctx UNUSED) const override {
     PADDLE_THROW(platform::errors::Unavailable(
         "Do not support partial_send for cpu kernel now."));
   }

paddle/fluid/operators/collective/recv_v2_op.h

@@ -27,7 +27,7 @@ namespace operators {
 template <typename T, typename DeviceContext>
 class RecvOpV2CPUKernel : public framework::OpKernel<T> {
  public:
-  void Compute(const framework::ExecutionContext& ctx) const override {
+  void Compute(const framework::ExecutionContext& ctx UNUSED) const override {
     PADDLE_THROW(platform::errors::Unavailable(
         "Do not support recv for cpu kernel now."));
   }

paddle/phi/kernels/impl/eigvalsh_grad_kernel_impl.h

@@ -27,8 +27,8 @@ template <typename T, typename Context>
 void EigvalshGradKernel(const Context& dev_ctx,
                         const DenseTensor& out_v,
                         const DenseTensor& out_w_grad,
-                        const std::string& uplo,
-                        bool is_test,
+                        const std::string& uplo UNUSED,
+                        bool is_test UNUSED,
                         DenseTensor* x_grad) {
   auto tV = phi::TransposeLast2Dim<T>(dev_ctx, phi::Conj<T>(dev_ctx, out_v));
 

paddle/phi/kernels/impl/einsum_impl.h

@@ -752,7 +752,7 @@ void EinsumKernel(const Context& dev_ctx,
                   const std::string& equation,
                   DenseTensor* out,
                   std::vector<DenseTensor*> cache,
-                  std::vector<DenseTensor*> xshape) {
+                  std::vector<DenseTensor*> xshape UNUSED) {
   std::vector<char> tmp;
   // for the sake of compatibility, we may load and run v2.3 EinsumOp. Output
   // may have nullptr and the cache.size() is not equal to inputs.size(). refer

paddle/phi/kernels/impl/elementwise_grad_kernel_impl.h

@@ -119,7 +119,9 @@ void SubtractDoubleGradImpl(const Context& dev_ctx,
 
 template <typename T>
 struct DivGradDX {
-  HOSTDEVICE T operator()(T x, T y, T out, T dout) const { return dout / y; }
+  HOSTDEVICE T operator()(T x UNUSED, T y, T out UNUSED, T dout) const {
+    return dout / y;
+  }
 };
 
 template <typename T>
@@ -136,7 +138,7 @@ struct DivGradDX<phi::dtype::complex<T>> {
 
 template <typename T>
 struct DivGradDY {
-  HOSTDEVICE T operator()(T x, T y, T out, T dout) const {
+  HOSTDEVICE T operator()(T x UNUSED, T y, T out, T dout) const {
     return -dout * out / y;
   }
 };
@@ -857,14 +859,14 @@ struct MinGradDy {
 
 template <typename T>
 struct HeavisideGradDx {
-  HOSTDEVICE T operator()(T x, T y, T out, T dout) const {
+  HOSTDEVICE T operator()(T x UNUSED, T y UNUSED, T out UNUSED, T dout) const {
     return dout * static_cast<T>(0);
   }
 };
 
 template <typename T>
 struct HeavisideGradDy {
-  HOSTDEVICE T operator()(T x, T y, T out, T dout) const {
+  HOSTDEVICE T operator()(T x, T y UNUSED, T out UNUSED, T dout) const {
     return dout * static_cast<T>(x == static_cast<T>(0));
   }
 };

paddle/phi/kernels/impl/lamb_kernel_impl.h

@@ -128,7 +128,7 @@ void ComputeImpl(const Context& dev_ctx,
                  float beta1_f,
                  float beta2_f,
                  float epsilon_f,
-                 bool multi_precision,
+                 bool multi_precision UNUSED,
                  DenseTensor* param_out,
                  DenseTensor* mom1_out,
                  DenseTensor* mom2_out,

paddle/phi/kernels/impl/lu_kernel_impl.h

@@ -474,7 +474,7 @@ void Unpack_Pivot(const Context& dev_ctx,
                   const DenseTensor& Pivot,
                   DenseTensor* P,
                   int h,
-                  int w) {
+                  int w UNUSED) {
   auto dims = Pivot.dims();
   auto Pdimvec = vectorize(dims);
   auto prank = Pdimvec.size();

paddle/phi/kernels/impl/unstack_kernel_impl.h

@@ -26,7 +26,7 @@ template <typename T, typename Context>
 void UnStackKernel(const Context &dev_ctx,
                    const DenseTensor &x,
                    int axis,
-                   int num,
+                   int num UNUSED,
                    std::vector<DenseTensor *> outs) {
   auto *dy = &x;
   auto dx = outs;

paddle/phi/kernels/onednn/conv_handler.h

@@ -240,10 +240,10 @@ class ConvOneDNNHandlerT
                      const std::string& padding_algorithm,
                      const std::vector<int>& dilations_in,
                      int groups,
-                     const std::string& data_format,
+                     const std::string& data_format UNUSED,
                      bool is_test,
-                     phi::DenseTensor* filter_grad,
-                     phi::DenseTensor* in_x_grad,
+                     phi::DenseTensor* filter_grad UNUSED,
+                     phi::DenseTensor* in_x_grad UNUSED,
                      const std::string& unique_name)
       : funcs::OneDNNHandlerT<T,
                               dnnl::convolution_forward,

paddle/phi/kernels/onednn/pool_kernel.cc

@@ -26,7 +26,7 @@ void Pool2dKernel(const Context& dev_ctx,
                   const std::vector<int>& paddings,
                   bool ceil_mode,
                   bool exclusive,
-                  const std::string& data_format,
+                  const std::string& data_format UNUSED,
                   const std::string& pooling_type,
                   bool global_pooling,
                   bool adaptive,

paddle/phi/kernels/onednn/reduce_kernel_impl.h

@@ -118,7 +118,7 @@ void ReduceGradKernel(const Context& dev_ctx,
                       bool reduce_all,
                       DenseTensor* x_grad,
                       dnnl::algorithm binary_type,
-                      dnnl::algorithm reduction_type,
+                      dnnl::algorithm reduction_type UNUSED,
                       float scale_x,
                       float scale_y) {
   reduce_all = recompute_reduce_all(x, dims, reduce_all);

paddle/phi/kernels/onednn/slice_kernel.cc

@@ -25,7 +25,7 @@ void SliceKernel(const Context& dev_ctx,
                  const std::vector<int64_t>& axes,
                  const IntArray& starts,
                  const IntArray& ends,
-                 const std::vector<int64_t>& infer_flags,
+                 const std::vector<int64_t>& infer_flags UNUSED,
                  const std::vector<int64_t>& decrease_axis,
                  DenseTensor* out) {
   const auto& onednn_engine = dev_ctx.GetEngine();

paddle/phi/kernels/selected_rows/impl/lamb_kernel_impl.h

@@ -131,7 +131,7 @@ void ComputeRowImpl(const Context& dev_ctx,
                     float beta1_f,
                     float beta2_f,
                     float epsilon_f,
-                    bool multi_precision,
+                    bool multi_precision UNUSED,
                     DenseTensor* param_out,
                     DenseTensor* mom1_out,
                     DenseTensor* mom2_out,

paddle/phi/kernels/sparse/cpu/conv_grad_kernel.cc

@@ -38,10 +38,10 @@ void Conv3dCooGradCPUKernel(const CPUContext& dev_ctx,
                             const DenseTensor& rulebook,
                             const DenseTensor& counter,
                             const SparseCooTensor& out_grad,
-                            const std::vector<int>& paddings,
-                            const std::vector<int>& dilations,
-                            const std::vector<int>& strides,
-                            const int groups,
+                            const std::vector<int>& paddings UNUSED,
+                            const std::vector<int>& dilations UNUSED,
+                            const std::vector<int>& strides UNUSED,
+                            const int groups UNUSED,
                             const bool subm,
                             const std::string& key,
                             SparseCooTensor* x_grad,

paddle/phi/kernels/sparse/cpu/conv_kernel.cc

@@ -34,7 +34,7 @@ void Conv3dCooCPUKernel(const CPUContext& dev_ctx,
                         const std::vector<int>& paddings,
                         const std::vector<int>& dilations,
                         const std::vector<int>& strides,
-                        const int groups,
+                        const int groups UNUSED,
                         const bool subm,
                         const std::string& key,
                         SparseCooTensor* out,