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author | Pablo Tello <pablo.tello@arm.com> | 2017-11-02 16:09:35 +0000 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
commit | 6ff12a0f7765f62b8d0fa8554021e1cac2789f19 (patch) | |
tree | 9338db697789106b49ea391634be8b3c08ef9f97 /arm_compute/core/NEON/kernels/NEGEMMLowpFinalizeKernel.h | |
parent | 97988a4b3ef0f840432daf95b6e4b2ad7e5feefd (diff) | |
download | ComputeLibrary-6ff12a0f7765f62b8d0fa8554021e1cac2789f19.tar.gz |
COMPMID-662: Integrated the new a64_s8_gemm_12x8 + dot product kernel into ACL.
Change-Id: Id8f919e486a132fc58346c9f84fccbeeb83d19b3
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/94233
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Diffstat (limited to 'arm_compute/core/NEON/kernels/NEGEMMLowpFinalizeKernel.h')
-rw-r--r-- | arm_compute/core/NEON/kernels/NEGEMMLowpFinalizeKernel.h | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/arm_compute/core/NEON/kernels/NEGEMMLowpFinalizeKernel.h b/arm_compute/core/NEON/kernels/NEGEMMLowpFinalizeKernel.h index 77b2bdc177..8908fabc1e 100644 --- a/arm_compute/core/NEON/kernels/NEGEMMLowpFinalizeKernel.h +++ b/arm_compute/core/NEON/kernels/NEGEMMLowpFinalizeKernel.h @@ -62,7 +62,7 @@ public: * @param[in] vector_sum_row Input row-vector of sums of all the entries in each row of input0. * Note: vector_sum_row can be a nullptr in case b_offset = 0. Data type supported: same as @p vector_sum_col * @param[in] mm_result Input tensor containing the result of @ref NEGEMMLowpMatrixMultiplyKernel. Data type supported: same as @p vector_sum_col - * @param[out] output Output tensor containing the result of GEMMLowP. Data type supported: U8 + * @param[out] output Output tensor containing the result of GEMMLowP. Data type supported: S8 * @param[in] num_mtx_a_cols Number of matrix A columns * @param[in] a_offset Offset to be added to each element of the matrix A. * @param[in] b_offset Offset to be added to each element of the matrix B. |