diff options
Diffstat (limited to 'arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h')
| -rw-r--r-- | arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h | 26 |
1 files changed, 13 insertions, 13 deletions
diff --git a/arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h b/arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h index daa29fdf4f..e2ea90a33f 100644 --- a/arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h +++ b/arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h @@ -56,12 +56,12 @@ public: * @note For @p scale equal to 1/255 only round to nearest even (implemented as round half up) is supported. * For all other scale values only round to zero (implemented as round towards minus infinity) is supported. * - * @param[in] input1 An input tensor. Data types supported: U8/QASYMM8/S16/F16/F32 - * @param[in] input2 An input tensor. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16, F16 (only if @p input1 is F16), F32 (only if @p input1 is F32). - * @param[out] output Output tensor. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), S16/F16 (only if @p input1 is F16), F32 (only if both inputs are F32). + * @param[in] input1 An input tensor. Data types supported: U8/QASYMM8/S16/QSYMM16/F16/F32 + * @param[in] input2 An input tensor. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16, QSYMM16 (only if @p input1 is QSYMM16), F16 (only if @p input1 is F16), F32 (only if @p input1 is F32). + * @param[out] output Output tensor. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), S16, QSYMM16 (only if both inputs are QSYMM16), F16 (only if @p input1 is F16), F32 (only if both inputs are F32). * @param[in] scale Scale to apply after multiplication. * Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15. - * @param[in] overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if datatype is QASYMM8. + * @param[in] overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if datatype is QASYMM8 or QSYMM16. * @param[in] rounding_policy Rounding policy. */ void configure(const ITensor *input1, const ITensor *input2, ITensor *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy); @@ -70,12 +70,12 @@ public: * @note For @p scale equal to 1/255 only round to nearest even (implemented as round half up) is supported. * For all other scale values only round to zero (implemented as round towards minus infinity) is supported. * - * @param[in] input1 An input tensor info. Data types supported: U8/QASYMM8/S16/F16/F32 - * @param[in] input2 An input tensor info. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16, F16 (only if @p input1 is F16), F32 (only if @p input1 is F32). - * @param[in] output Output tensor info. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), S16/F16 (only if @p input1 is F16), F32 (only if both inputs are F32). + * @param[in] input1 An input tensor info. Data types supported: U8/QASYMM8/QSYMM16/S16/F16/F32 + * @param[in] input2 An input tensor info. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16, QSYMM16 (only if @p input1 is QSYMM16), F16 (only if @p input1 is F16), F32 (only if @p input1 is F32). + * @param[in] output Output tensor info. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), S16, QSYMM16 (only if both inputs are QSYMM16), F16 (only if @p input1 is F16), F32 (only if both inputs are F32). * @param[in] scale Scale to apply after multiplication. * Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15. - * @param[in] overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if datatype is QASYMM8. + * @param[in] overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if datatype is QASYMM8 or QSYMM16. * @param[in] rounding_policy Rounding policy. * * @return a status @@ -114,12 +114,12 @@ private: * @param[in] output_qua_info Quantization Info of tensor output. * */ - using MulFunctionQASYMM8 = void(const void *__restrict input1_ptr, const void *__restrict input2_ptr, void *__restrict output_ptr, float scale, - const UniformQuantizationInfo &input1_qua_info, const UniformQuantizationInfo &input2_qua_info, const UniformQuantizationInfo &output_qua_info); + using MulFunctionQuantized = void(const void *__restrict input1_ptr, const void *__restrict input2_ptr, void *__restrict output_ptr, float scale, + const UniformQuantizationInfo &input1_qua_info, const UniformQuantizationInfo &input2_qua_info, const UniformQuantizationInfo &output_qua_info); - MulFunctionFloat *_func_float; - MulFunctionInt *_func_int; - MulFunctionQASYMM8 *_func_qasymm8; + MulFunctionFloat *_func_float; + MulFunctionInt *_func_int; + MulFunctionQuantized *_func_quantized; private: const ITensor *_input1; |