remove some [-Wunused-parameter]warning (#53397)

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

paddle/fluid/eager/amp_auto_cast.h

@@ -43,7 +43,7 @@ inline std::vector<paddle::Tensor> AmpAutoCasts(
     const std::string& inputs_name,
     const std::vector<paddle::Tensor>& inputs,
     const phi::DataType& dst_dtype,
-    std::string op_name) {
+    std::string op_name UNUSED) {
   VLOG(6) << "AMP AmpAutoCasts:"
           << " inputs(" << inputs_name << ") dst_dtype("
           << phi::DataTypeToString(dst_dtype) << ").";

paddle/phi/kernels/funcs/activation_functor.h

@@ -1147,7 +1147,7 @@ struct ReluGradFunctor : public BaseActivationFunctor<T> {
             typename Out,
             typename dOut,
             typename dX>
-  void operator()(Device d, X x, Out out, dOut dout, dX dx) const {
+  void operator()(Device d, X x UNUSED, Out out, dOut dout, dX dx) const {
     dx.device(d) = dout * (out > static_cast<T>(0)).template cast<T>();
   }
 

paddle/phi/kernels/funcs/compound_functors.h

@@ -247,7 +247,7 @@ struct UnaryCompoundGradDIntermediateFunctor {
     }
   }
 
-  inline HOSTDEVICE T UseIntermediateOut(T x,
+  inline HOSTDEVICE T UseIntermediateOut(T x UNUSED,
                                          T intermediate_out,
                                          T out,
                                          T dout) {

paddle/phi/kernels/funcs/reduce_functor.h

@@ -112,8 +112,8 @@ struct MeanGradFunctor {
             typename DY,
             typename Dim>
   void operator()(const DeviceContext& place,
-                  X* x,
-                  Y* y,
+                  X* x UNUSED,
+                  Y* y UNUSED,
                   DX* dx,
                   DY* dy,
                   const Dim& dim,

paddle/phi/kernels/fusion/onednn/fused_matmul_kernel.cc

@@ -142,7 +142,7 @@ class FusedMatmulOneDNNHandler
   float ComputeOutputScale(float matmul_alpha,
                            const float scale_x,
                            const float scale_y,
-                           const float scale_in_eltwise,
+                           const float scale_in_eltwise UNUSED,
                            const float scale_out,
                            const bool force_fp32_output) {
     float f_scale_out = force_fp32_output ? 1.0f : scale_out;

paddle/phi/kernels/impl/slice_grad_kernel_impl.h

@@ -357,7 +357,7 @@ void SliceArrayGradKernel(const Context& dev_ctx,
                           const TensorArray& input,
                           const TensorArray& out_grad,
                           const IntArray& starts,
-                          const IntArray& ends,
+                          const IntArray& ends UNUSED,
                           TensorArray* input_grad) {
   int64_t d_in_size = input.size();
   input_grad->resize(d_in_size);

paddle/phi/kernels/npu_identity_kernel.cc

@@ -22,9 +22,9 @@
 namespace phi {
 
 template <typename T, typename Context>
-void NPUIdentityKernel(const Context& dev_ctx,
+void NPUIdentityKernel(const Context& dev_ctx UNUSED,
                        const DenseTensor& x,
-                       const int format,
+                       const int format UNUSED,
                        DenseTensor* out) {
   VLOG(4) << "npu_identity op is only for NPU, please avoid using this kernel!";
   out->ShareDataWith(x);

paddle/phi/kernels/sparse/sparse_utils_grad_kernel.cc

@@ -20,7 +20,7 @@ namespace phi {
 namespace sparse {
 
 template <typename T, typename Context>
-void ValuesCooGradKernel(const Context& dev_ctx,
+void ValuesCooGradKernel(const Context& dev_ctx UNUSED,
                          const SparseCooTensor& x,
                          const DenseTensor& out_grad,
                          SparseCooTensor* x_grad) {