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| author | Vidhya Sudhan Loganathan <vidhyasudhan.loganathan@arm.com> | 2018-07-04 09:34:00 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:10 +0000 |
| commit | 7485d5a62685cb745ab50e970adb722cb71557ac (patch) | |
| tree | ba01b99ca466c93edc9a3f8c1e34394ff84be060 /arm_compute/core/NEON/kernels/NEGEMMMatrixAdditionKernel.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/NEGEMMMatrixAdditionKernel.h')
| -rw-r--r-- | arm_compute/core/NEON/kernels/NEGEMMMatrixAdditionKernel.h | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/core/NEON/kernels/NEGEMMMatrixAdditionKernel.h b/arm_compute/core/NEON/kernels/NEGEMMMatrixAdditionKernel.h index 5e4f8b72ff..1a235933dc 100644 --- a/arm_compute/core/NEON/kernels/NEGEMMMatrixAdditionKernel.h +++ b/arm_compute/core/NEON/kernels/NEGEMMMatrixAdditionKernel.h @@ -59,7 +59,7 @@ public: * * @note The input and output tensor must have the same dimensions * - * @param[in] input Input tensor (Matrix C). Data types supported: QS8/QS16/F16/F32 + * @param[in] input Input tensor (Matrix C). Data types supported: F16/F32 * @param[in, out] output Output tensor. If this kernel is used to finalize the GEMM result, output contains the result obtained by the kernel @ref NEGEMMMatrixMultiplyKernel. Data type supported: the same as @p input. * @param[in] beta Weight of matrix C */ @@ -71,7 +71,7 @@ public: private: /** Common signature for all the matrix addition functions * - * @param[in] input An input tensor. Data types supported: QS8/QS16/F16/F32 + * @param[in] input An input tensor. Data types supported: F16/F32 * @param[out] output The output tensor. Data type supported: same as @p input * @param[in] window Region on which to execute the kernel. * @param[in] beta Weight of matrix C |