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author | Vidhya Sudhan Loganathan <vidhyasudhan.loganathan@arm.com> | 2018-07-04 09:34:00 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:10 +0000 |
commit | 7485d5a62685cb745ab50e970adb722cb71557ac (patch) | |
tree | ba01b99ca466c93edc9a3f8c1e34394ff84be060 /arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h | |
parent | 014333d73883c3872e458cedda5ccef586a7ccd4 (diff) | |
download | ComputeLibrary-7485d5a62685cb745ab50e970adb722cb71557ac.tar.gz |
COMPMID-970 : Remove QS8 / QS16 support
Removed fixed point related code.
Change-Id: I487acf138dace3b0450e0d72ca7071eaec254566
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/137678
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h')
-rw-r--r-- | arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h | 24 |
1 files changed, 6 insertions, 18 deletions
diff --git a/arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h b/arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h index 8c245569a5..41ea91495f 100644 --- a/arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h +++ b/arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h @@ -55,11 +55,10 @@ 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. - * For QS8/QS16 scale = 1 is the only supported value. * - * @param[in] input1 An input tensor. Data types supported: U8/QS8/QS16/S16/F16/F32 - * @param[in] input2 An input tensor. Data types supported: U8, QS8 (only if @p input1 is QS8), QS16 (only if @p input1 is QS16), S16/F16 (only if @p input1 is F16), F32 (only if @p input1 is F32). - * @param[out] output The output tensor. Data types supported: U8 (Only if both inputs are U8), QS8 (only if both inputs are QS8), QS16 (only if both inputs are QS16), 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/S16/F16/F32 + * @param[in] input2 An input tensor. Data types supported: U8, S16/F16 (only if @p input1 is F16), F32 (only if @p input1 is F32). + * @param[out] output The output tensor. Data types supported: U8 (Only if both inputs are U8), S16/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. @@ -70,11 +69,10 @@ 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. - * For QS8/QS16 scale = 1 is the only supported value. * - * @param[in] input1 An input tensor. Data types supported: U8/QS8/QS16/S16/F16/F32 - * @param[in] input2 An input tensor. Data types supported: U8, QS8 (only if @p input1 is QS8), QS16 (only if @p input1 is QS16), S16/F16 (only if @p input1 is F16), F32 (only if @p input1 is F32). - * @param[in] output The output tensor. Data types supported: U8 (Only if both inputs are U8), QS8 (only if both inputs are QS8), QS16 (only if both inputs are QS16), 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/S16/F16/F32 + * @param[in] input2 An input tensor. Data types supported: U8, S16/F16 (only if @p input1 is F16), F32 (only if @p input1 is F32). + * @param[in] output The output tensor. Data types supported: U8 (Only if both inputs are U8), S16/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. @@ -96,15 +94,6 @@ private: * @param[out] output_ptr Pointer to the output tensor. */ using MulFunctionInt = void(const void *__restrict input1_ptr, const void *__restrict input2_ptr, void *__restrict output_ptr, int scale); - /** Common signature for all the specialised multiplication functions with fixed-point values - * - * @param[in] input1_ptr Pointer to the first input tensor. - * @param[in] input2_ptr Pointer to the second input tensor. - * @param[in] scale Scaling factor. - * @param[in] fixed_point_position Fixed-point position that expresses the number of bits for the fractional part of the number. - * @param[out] output_ptr Pointer to the output tensor. - */ - using MulFunctionQInt = void(const void *__restrict input1_ptr, const void *__restrict input2_ptr, void *__restrict output_ptr, int scale, int fixed_point_position); /** Common signature for all the specialised multiplication functions with float scaling factor * * @param[in] input1_ptr Pointer to the first input tensor. @@ -115,7 +104,6 @@ private: MulFunctionFloat *_func_float; MulFunctionInt *_func_int; - MulFunctionQInt *_func_q_int; private: const ITensor *_input1; |