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author | Michele Di Giorgio <michele.digiorgio@arm.com> | 2017-07-11 15:00:52 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-09-17 14:16:42 +0100 |
commit | 81f0d15d6840a0ae8ef571114555a26da74c4a43 (patch) | |
tree | a9eeda0a2b69961cd6a51d74e039bbed26a9b436 /arm_compute/core/NEON/kernels | |
parent | f70256bd46f03090281581c152bd17b4a50febcd (diff) | |
download | ComputeLibrary-81f0d15d6840a0ae8ef571114555a26da74c4a43.tar.gz |
COMPMID-444: Add support for QS8/QS16 NEON Arithmetic Add/Sub/Mul.
Change-Id: Ia482498688ca1884272b5062e3415e736e03d36f
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/80448
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Diffstat (limited to 'arm_compute/core/NEON/kernels')
3 files changed, 16 insertions, 15 deletions
diff --git a/arm_compute/core/NEON/kernels/NEArithmeticAdditionKernel.h b/arm_compute/core/NEON/kernels/NEArithmeticAdditionKernel.h index 9bfdde1616..7ad5893b70 100644 --- a/arm_compute/core/NEON/kernels/NEArithmeticAdditionKernel.h +++ b/arm_compute/core/NEON/kernels/NEArithmeticAdditionKernel.h @@ -50,9 +50,9 @@ public: /** Initialise the kernel's input, output and border mode. * - * @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 both inputs are F16), F32 (only if both inputs are F32). + * @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] policy Overflow policy. */ void configure(const ITensor *input1, const ITensor *input2, ITensor *output, ConvertPolicy policy); @@ -63,9 +63,9 @@ public: private: /** Common signature for all the specialised add functions * - * @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 both inputs are F16), F32 (only if both inputs are F32). + * @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] window Region on which to execute the kernel. */ using AddFunction = void(const ITensor *input1, const ITensor *input2, ITensor *output, const Window &window); diff --git a/arm_compute/core/NEON/kernels/NEArithmeticSubtractionKernel.h b/arm_compute/core/NEON/kernels/NEArithmeticSubtractionKernel.h index 0eb9c23686..6f88d2757a 100644 --- a/arm_compute/core/NEON/kernels/NEArithmeticSubtractionKernel.h +++ b/arm_compute/core/NEON/kernels/NEArithmeticSubtractionKernel.h @@ -50,9 +50,9 @@ public: /** Initialise the kernel's input, output and border mode. * - * @param[in] input1 An input tensor. Data types supported: U8/S16/F32 - * @param[in] input2 An input tensor. Data types supported: U8/S16/F32 (only if @p input1 is F32). - * @param[out] output The output tensor. Data types supported: U8 (Only if both inputs are U8), S16/F32 (only if both inputs are F32). + * @param[in] input1 An input tensor. Data types supported: U8/QS8/QS16/S16/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/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/F32 (only if both inputs are F32). * @param[in] policy Overflow policy. */ void configure(const ITensor *input1, const ITensor *input2, ITensor *output, ConvertPolicy policy); @@ -63,9 +63,9 @@ public: private: /** Common signature for all the specialised sub functions * - * @param[in] input1 An input tensor. Data types supported: U8, S16, F32. - * @param[in] input2 An input tensor. Data types supported: U8, S16, F32 (only if @p input1 is F32). - * @param[out] output The output tensor. Data types supported: U8 (Only if both inputs are U8), S16, F32 (only if both inputs are F32) + * @param[in] input1 An input tensor. Data types supported: U8/S16/F32 + * @param[in] input2 An input tensor. Data types supported: U8/S16/F32 (only if @p input1 is F32). + * @param[out] output The output tensor. Data types supported: U8 (Only if both inputs are U8), S16/F32 (only if both inputs are F32). * @param[in] window Region on which to execute the kernel. */ using SubFunction = void(const ITensor *input1, const ITensor *input2, ITensor *output, const Window &window); diff --git a/arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h b/arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h index 433a20e48e..bf96c9026c 100644 --- a/arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h +++ b/arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h @@ -51,10 +51,11 @@ 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/S16/F16/F32. - * @param[in] input2 An input tensor. Data types supported: U8/QS8/S16/F16/F32. - * @param[out] output The output tensor. Data types supported: U8 (Only if both inputs are U8) /S16/F16/F32. + * @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] 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. |