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| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2019-06-21 18:43:12 +0100 |
|---|---|---|
| committer | Georgios Pinitas <georgios.pinitas@arm.com> | 2019-07-05 15:30:24 +0000 |
| commit | 37d080f2f11cfd734104b76512e1fb191486216e (patch) | |
| tree | d5df067c826aacc0676e7e9557a54b61a9a3b7eb /arm_compute/runtime/NEON/functions/assembly/NEGEMMInterleavedWrapper.h | |
| parent | 11de30da8a9f79943255ddba7bb70a66b076673b (diff) | |
| download | ComputeLibrary-37d080f2f11cfd734104b76512e1fb191486216e.tar.gz | |
COMPMID-2378: Sanitize GEMM configuration for NEON
Change-Id: I7859b82b2059e14685f8792424648ac5eacd67f1
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1418
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/runtime/NEON/functions/assembly/NEGEMMInterleavedWrapper.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/assembly/NEGEMMInterleavedWrapper.h | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/arm_compute/runtime/NEON/functions/assembly/NEGEMMInterleavedWrapper.h b/arm_compute/runtime/NEON/functions/assembly/NEGEMMInterleavedWrapper.h index 949564750b..ad89e1fbec 100644 --- a/arm_compute/runtime/NEON/functions/assembly/NEGEMMInterleavedWrapper.h +++ b/arm_compute/runtime/NEON/functions/assembly/NEGEMMInterleavedWrapper.h @@ -104,14 +104,14 @@ public: * * @note The input and output tensor must have the same dimensions * - * @param[in] a Input tensor (Matrix A) - * @param[in] b Input tensor (Matrix B) - * @param[out] c Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0. - * @param[in] alpha Scalar multiplier to apply to AB matrix product. - * @param[in] beta Scalar multiplier to apply to input C matrix before adding product. - * @param[in] pretranspose_b If true, pretranspose B once during the prepare() stage instead of on the fly every time. + * @param[in] a Input tensor (Matrix A) + * @param[in] b Input tensor (Matrix B) + * @param[out] c Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0. + * @param[in] alpha Scalar multiplier to apply to AB matrix product. + * @param[in] beta Scalar multiplier to apply to input C matrix before adding product. + * @param[in] gemm_info GEMM meta-data */ - void configure(const ITensor *a, const ITensor *b, ITensor *c, float alpha, float beta, bool pretranspose_b); + void configure(const ITensor *a, const ITensor *b, ITensor *c, float alpha, float beta, const GEMMInfo &gemm_info); // Inherited methods overridden: void run() override; |