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未验证 提交 c1f4005a 编写于 作者: G Galaxy1458 提交者： GitHub
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test,test=develop (#53843)

上级 c174aa22
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Showing with 48 addition and 47 deletion
paddle/phi/kernels/funcs/viterbi_decode_functor.h
浏览文件 @ c1f4005a
......@@ -53,12 +53,12 @@ template <bool is_multi_threads>
struct GetInputIndex {
void operator()(const std::vector<int>& lhs_dims,
const std::vector<int>& rhs_dims,
const std::vector<int>& output_dims,
const std::vector<int>& output_dims UNUSED,
const std::vector<int>& lhs_strides,
const std::vector<int>& rhs_strides,
const std::vector<int>& output_strides,
int output_idx,
int* index_array,
int* index_array UNUSED,
int* lhs_idx,
int* rhs_idx) {
int out_dims_size = output_strides.size();
......
paddle/phi/kernels/funcs/vol2col.cc
浏览文件 @ c1f4005a
......@@ -28,7 +28,7 @@ namespace funcs {
template <class T>
class Vol2ColFunctor<phi::CPUContext, T> {
public:
void operator()(const phi::CPUContext& context,
void operator()(const phi::CPUContext& context UNUSED,
const phi::DenseTensor& vol,
const std::vector<int>& dilations,
const std::vector<int>& strides,
......@@ -154,7 +154,7 @@ class Vol2ColFunctor<phi::CPUContext, T> {
template <class T>
class Col2VolFunctor<phi::CPUContext, T> {
public:
void operator()(const phi::CPUContext& context,
void operator()(const phi::CPUContext& context UNUSED,
const phi::DenseTensor& col,
const std::vector<int>& dilations,
const std::vector<int>& strides,
......
paddle/phi/kernels/fusion/onednn/fused_softplus_kernel.cc
浏览文件 @ c1f4005a
......@@ -24,7 +24,7 @@ template <typename T, typename Context>
void FusedSoftplusKernel(const Context& dev_ctx,
const DenseTensor& x,
float beta,
float threshold,
float threshold UNUSED,
const std::string& fuse_activation,
const float fuse_alpha,
const float fuse_beta,
......
paddle/phi/kernels/gpu/rnn_grad_kernel.cu.cc
浏览文件 @ c1f4005a
......@@ -86,7 +86,7 @@ void RnnGradKernel(const Context &dev_ctx,
const std::vector<const DenseTensor *> &state_grad,
float dropout_prob,
bool is_bidirec,
int input_size,
int input_size UNUSED,
int hidden_size,
int num_layers,
const std::string &mode,
......
paddle/phi/kernels/gpu/rnn_kernel.cu.cc
浏览文件 @ c1f4005a
......@@ -134,7 +134,7 @@ void RnnKernel(const Context &dev_ctx,
const paddle::optional<DenseTensor> &sequence_length,
float dropout_prob,
bool is_bidirec,
int input_size,
int input_size UNUSED,
int hidden_size,
int num_layers,
const std::string &mode,
......
paddle/phi/kernels/impl/adagrad_kernel_impl.h
浏览文件 @ c1f4005a
......@@ -91,12 +91,13 @@ void AdagradSparseKernel(const Context& ctx,
const SelectedRows& grad_t,
const DenseTensor& moment_t,
const DenseTensor& learning_rate,
const paddle::optional<DenseTensor>& master_param,
const paddle::optional<DenseTensor>& master_param
UNUSED,
float epsilon_t,
bool multi_precision,
bool multi_precision UNUSED,
DenseTensor* param_out,
DenseTensor* moment_out,
DenseTensor* master_param_outs) {
DenseTensor* master_param_outs UNUSED) {
auto* param_out_tensor = param_out;
auto* moment_out_tensor = moment_out;
......
paddle/phi/kernels/impl/adamax_kernel_impl.h
浏览文件 @ c1f4005a
......@@ -28,15 +28,15 @@ void AdamaxKernel(const Context& dev_ctx,
const DenseTensor& moment,
const DenseTensor& inf_norm,
const DenseTensor& beta1_pow,
const paddle::optional<DenseTensor>& master_param,
const paddle::optional<DenseTensor>& master_param UNUSED,
float beta1,
float beta2,
float epsilon,
bool multi_precision,
bool multi_precision UNUSED,
DenseTensor* param_out,
DenseTensor* moment_out,
DenseTensor* inf_norm_out,
DenseTensor* master_param_outs) {
DenseTensor* master_param_outs UNUSED) {
dev_ctx.template Alloc<T>(param_out);
dev_ctx.template Alloc<T>(moment_out);
dev_ctx.template Alloc<T>(inf_norm_out);
......
paddle/phi/kernels/impl/amp_kernel_impl.h
浏览文件 @ c1f4005a
......@@ -76,10 +76,10 @@ inline HOSTDEVICE void Update(const FoundInfFlagT found_inf_data,
template <typename Context, typename T>
class LazyZeros {
public:
void operator()(const DeviceContext& dev_ctx,
const bool* found_inf_data,
const std::vector<const DenseTensor*>& xs,
const std::vector<DenseTensor*>& outs) const {}
void operator()(const DeviceContext& dev_ctx UNUSED,
const bool* found_inf_data UNUSED,
const std::vector<const DenseTensor*>& xs UNUSED,
const std::vector<DenseTensor*>& outs UNUSED) const {}
};
template <typename Context, typename T, bool IsFoundInfOnCPU>
......
paddle/phi/kernels/impl/complex_grad_kernel_impl.h
浏览文件 @ c1f4005a
......@@ -50,9 +50,9 @@ void ImagGradKernel(const Context& dev_ctx,
template <typename T>
struct ComplexGradForRealFunctor {
inline HOSTDEVICE T operator()(const T x,
const T y,
const phi::dtype::complex<T> out,
inline HOSTDEVICE T operator()(const T x UNUSED,
const T y UNUSED,
const phi::dtype::complex<T> out UNUSED,
const phi::dtype::complex<T> dout) {
return dout.real;
}
......@@ -60,9 +60,9 @@ struct ComplexGradForRealFunctor {
template <typename T>
struct ComplexGradForImagFunctor {
inline HOSTDEVICE T operator()(const T x,
const T y,
const phi::dtype::complex<T> out,
inline HOSTDEVICE T operator()(const T x UNUSED,
const T y UNUSED,
const phi::dtype::complex<T> out UNUSED,
const phi::dtype::complex<T> dout) {
return dout.imag;
}
......
paddle/phi/kernels/impl/conv_transpose_grad_kernel_impl.h
浏览文件 @ c1f4005a
......@@ -306,8 +306,8 @@ void Conv2dTransposeGradKernel(const Context& ctx,
const DenseTensor& dout,
const std::vector<int>& strides,
const std::vector<int>& paddings,
const std::vector<int>& output_padding,
const IntArray& output_size,
const std::vector<int>& output_padding UNUSED,
const IntArray& output_size UNUSED,
const std::string& padding_algorithm,
int groups,
const std::vector<int>& dilations,
......@@ -335,8 +335,8 @@ void Conv3dTransposeGradKernel(const Context& ctx,
const DenseTensor& dout,
const std::vector<int>& strides,
const std::vector<int>& paddings,
const std::vector<int>& output_padding,
const std::vector<int>& output_size,
const std::vector<int>& output_padding UNUSED,
const std::vector<int>& output_size UNUSED,
const std::string& padding_algorithm,
int groups,
const std::vector<int>& dilations,
......
paddle/phi/kernels/impl/conv_transpose_kernel_impl.h
浏览文件 @ c1f4005a
......@@ -227,8 +227,8 @@ void Conv2dTransposeKernel(const Context& ctx,
const DenseTensor& filter,
const std::vector<int>& strides,
const std::vector<int>& paddings,
const std::vector<int>& output_padding,
const IntArray& output_size,
const std::vector<int>& output_padding UNUSED,
const IntArray& output_size UNUSED,
const std::string& padding_algorithm,
int groups,
const std::vector<int>& dilations,
......@@ -252,8 +252,8 @@ void Conv3dTransposeKernel(const Context& ctx,
const DenseTensor& filter,
const std::vector<int>& strides,
const std::vector<int>& paddings,
const std::vector<int>& output_padding,
const std::vector<int>& output_size,
const std::vector<int>& output_padding UNUSED,
const std::vector<int>& output_size UNUSED,
const std::string& padding_algorithm,
int groups,
const std::vector<int>& dilations,
......
paddle/phi/kernels/impl/elementwise_grad_kernel_impl.h
浏览文件 @ c1f4005a
......@@ -127,9 +127,9 @@ struct DivGradDX {
template <typename T>
struct DivGradDX<phi::dtype::complex<T>> {
HOSTDEVICE phi::dtype::complex<T> operator()(
phi::dtype::complex<T> x,
phi::dtype::complex<T> x UNUSED,
phi::dtype::complex<T> y,
phi::dtype::complex<T> out,
phi::dtype::complex<T> out UNUSED,
phi::dtype::complex<T> dout) const {
phi::dtype::complex<T> y_conj(y.real, -y.imag);
return dout / y_conj;
......@@ -146,7 +146,7 @@ struct DivGradDY {
template <typename T>
struct DivGradDY<phi::dtype::complex<T>> {
HOSTDEVICE phi::dtype::complex<T> operator()(
phi::dtype::complex<T> x,
phi::dtype::complex<T> x UNUSED,
phi::dtype::complex<T> y,
phi::dtype::complex<T> out,
phi::dtype::complex<T> dout) const {
......@@ -383,9 +383,9 @@ struct MulGradDX<bool> {
template <typename T>
struct MulGradDX<phi::dtype::complex<T>> {
HOSTDEVICE phi::dtype::complex<T> operator()(
phi::dtype::complex<T> x,
phi::dtype::complex<T> x UNUSED,
phi::dtype::complex<T> y,
phi::dtype::complex<T> out,
phi::dtype::complex<T> out UNUSED,
phi::dtype::complex<T> dout) const {
phi::dtype::complex<T> y_conj(y.real, -y.imag);
return dout * y_conj;
......@@ -420,8 +420,8 @@ template <typename T>
struct MulGradDY<phi::dtype::complex<T>> {
HOSTDEVICE phi::dtype::complex<T> operator()(
phi::dtype::complex<T> x,
phi::dtype::complex<T> y,
phi::dtype::complex<T> out,
phi::dtype::complex<T> y UNUSED,
phi::dtype::complex<T> out UNUSED,
phi::dtype::complex<T> dout) const {
phi::dtype::complex<T> x_conj(x.real, -x.imag);
return dout * x_conj;
......
paddle/phi/kernels/impl/fft_grad_kernel_impl.h
浏览文件 @ c1f4005a
......@@ -81,7 +81,7 @@ void FFTC2RGradKernel(const Context& ctx,
const std::vector<int64_t>& axes,
const std::string& normalization,
bool forward,
int64_t last_dim_size,
int64_t last_dim_size UNUSED,
DenseTensor* x_grad) {
using C = phi::dtype::complex<T>;
ctx.template Alloc<C>(x_grad);
......
paddle/phi/kernels/impl/fft_kernel_impl.h
浏览文件 @ c1f4005a
......@@ -44,7 +44,7 @@ void FFTC2RKernel(const Context& ctx,
const std::vector<int64_t>& axes,
const std::string& normalization,
bool forward,
int64_t last_dim_size,
int64_t last_dim_size UNUSED,
DenseTensor* out) {
using R = typename T::value_type; // get real type
ctx.template Alloc<R>(out);
......
paddle/phi/kernels/impl/fold_grad_kernel_impl.h
浏览文件 @ c1f4005a
......@@ -25,7 +25,7 @@ namespace phi {
template <typename T, typename Context>
void FoldGradKernel(const Context& ctx,
const DenseTensor& x,
const DenseTensor& x UNUSED,
const DenseTensor& out_grad,
const std::vector<int>& output_sizes,
const std::vector<int>& kernel_sizes,
......
paddle/phi/kernels/impl/kldiv_loss_grad_kernel_impl.h
浏览文件 @ c1f4005a
......@@ -36,7 +36,7 @@ struct KLDivLossBackward {
template <typename T, typename Context>
void KLDivLossGradKernel(const Context& dev_ctx,
const DenseTensor& x,
const DenseTensor& x UNUSED,
const DenseTensor& label,
const DenseTensor& d_out,
const std::string& reduction,
......
paddle/phi/kernels/impl/lerp_grad_kernel_impl.h
浏览文件 @ c1f4005a
......@@ -98,10 +98,10 @@ static void LerpGradFunction(const Context& ctx,
template <typename Context, typename T>
static void LerpGradFunctionZero(const Context& ctx,
const DenseTensor& x,
const DenseTensor& y,
const DenseTensor& x UNUSED,
const DenseTensor& y UNUSED,
const DenseTensor& weight,
const DenseTensor& out,
const DenseTensor& out UNUSED,
const DenseTensor& out_grad,
DenseTensor* x_grad,
DenseTensor* y_grad) {
......
paddle/phi/kernels/impl/logsumexp_grad_kernel_impl.h
浏览文件 @ c1f4005a
......@@ -55,7 +55,7 @@ void LogsumexpGradKernel(const Context& dev_ctx,
const DenseTensor& out,
const DenseTensor& out_grad,
const std::vector<int64_t>& axis,
bool keepdim,
bool keepdim UNUSED,
bool reduce_all,
DenseTensor* in_grad) {
dev_ctx.template Alloc<T>(in_grad);
......
paddle/phi/kernels/impl/lu_grad_kernel_impl.h
浏览文件 @ c1f4005a
......@@ -28,7 +28,7 @@ void LUGradKernel(const Context& dev_ctx,
const DenseTensor& out,
const DenseTensor& pivots,
const DenseTensor& out_grad,
bool pivot,
bool pivot UNUSED,
DenseTensor* x_grad) {
dev_ctx.template Alloc<T>(x_grad);
......
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