diff options
Diffstat (limited to 'src/cpu/kernels/CpuMulKernel.h')
| -rw-r--r-- | src/cpu/kernels/CpuMulKernel.h | 40 |
1 files changed, 27 insertions, 13 deletions
diff --git a/src/cpu/kernels/CpuMulKernel.h b/src/cpu/kernels/CpuMulKernel.h index 9e4a37110b..7eaf287507 100644 --- a/src/cpu/kernels/CpuMulKernel.h +++ b/src/cpu/kernels/CpuMulKernel.h @@ -25,6 +25,7 @@ #define ARM_COMPUTE_CPU_MUL_KERNEL_H #include "arm_compute/core/Rounding.h" + #include "src/core/common/Macros.h" #include "src/cpu/ICpuKernel.h" @@ -68,17 +69,27 @@ public: * @param[in] overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if any of the inputs is of quantized datatype * @param[in] rounding_policy Rounding policy. */ - void configure(ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy); + void configure(ITensorInfo *src1, + ITensorInfo *src2, + ITensorInfo *dst, + float scale, + ConvertPolicy overflow_policy, + RoundingPolicy rounding_policy); /** Static function to check if given info will lead to a valid configuration * * Similar to @ref CpuMulKernel::configure() * * @return a status */ - static Status validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy); + static Status validate(const ITensorInfo *src1, + const ITensorInfo *src2, + const ITensorInfo *dst, + float scale, + ConvertPolicy overflow_policy, + RoundingPolicy rounding_policy); // Inherited methods overridden - void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override; + void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override; const char *name() const override; /** Return minimum workload size of the relevant kernel @@ -108,7 +119,8 @@ private: * @param[in] window Region on which to execute the kernel * @param[in] scale Integer scale factor. */ - using MulFunctionInt = void(const ITensor *src1, const ITensor *src2, ITensor *dst, const Window &window, int scale); + using MulFunctionInt = + void(const ITensor *src1, const ITensor *src2, ITensor *dst, const Window &window, int scale); /** Common signature for all the specialised multiplication functions with float scaling factor * * @param[in] src1 Src1 tensor object. @@ -117,7 +129,8 @@ private: * @param[in] window Region on which to execute the kernel * @param[in] scale Float scale factor. */ - using MulFunctionFloat = void(const ITensor *src1, const ITensor *src2, ITensor *dst, const Window &window, float scale); + using MulFunctionFloat = + void(const ITensor *src1, const ITensor *src2, ITensor *dst, const Window &window, float scale); /** Common signature for all the specialised QASYMM8 multiplication functions with float scaling factor * * @param[in] src1 Src1 tensor object. @@ -127,14 +140,15 @@ private: * @param[in] scale Float scale factor. * */ - using MulFunctionQuantized = void(const ITensor *src1, const ITensor *src2, ITensor *dst, const Window &window, float scale); + using MulFunctionQuantized = + void(const ITensor *src1, const ITensor *src2, ITensor *dst, const Window &window, float scale); - MulFunctionFloat *_func_float{ nullptr }; - MulFunctionInt *_func_int{ nullptr }; - MulFunctionQuantized *_func_quantized{ nullptr }; - float _scale{ 0 }; - int _scale_exponent{ 0 }; - size_t _split_dimension{ Window::DimY }; + MulFunctionFloat *_func_float{nullptr}; + MulFunctionInt *_func_int{nullptr}; + MulFunctionQuantized *_func_quantized{nullptr}; + float _scale{0}; + int _scale_exponent{0}; + size_t _split_dimension{Window::DimY}; }; /** Interface for the complex pixelwise multiplication kernel. */ @@ -159,7 +173,7 @@ public: static Status validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst); // Inherited methods overridden: - void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override; + void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override; const char *name() const override; }; } // namespace kernels |