diff options
Diffstat (limited to 'arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionOutputStageKernel.h')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionOutputStageKernel.h | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionOutputStageKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionOutputStageKernel.h index 02ed20e5af..032539b699 100644 --- a/arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionOutputStageKernel.h +++ b/arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionOutputStageKernel.h @@ -30,9 +30,9 @@ namespace arm_compute { class ICLTensor; -/** OpenCL kernel used to add the offset contribution after @ref CLGEMMLowpMatrixMultiplyKernel and perform the output stage. +/** OpenCL kernel used to add the offset contribution after the matrix multiplication and perform the output stage. * - * This kernel takes a final int32 accumulator value (the output of @ref CLGEMMLowpMatrixMultiplyKernel), adds to it the offset contribution + * This kernel takes a final int32 accumulator value (the output of the matrix multiplication), adds to it the offset contribution * of matrix A and matrix B and performs the output stage defined by the output_stage argument * * @note For quantized computations the output data type for auto-initialization must be passed as part of the @ref GEMMLowpOutputStageInfo. @@ -52,7 +52,7 @@ public: CLGEMMLowpOffsetContributionOutputStageKernel &operator=(CLGEMMLowpOffsetContributionOutputStageKernel &&) = default; /** Initialise the kernel's input and output. * - * @param[in] mm_result Input tensor containing the result of @ref CLGEMMLowpMatrixMultiplyKernel. Data type supported: S32 + * @param[in] mm_result Input tensor containing the result of the matrix multiplication. Data type supported: S32 * @param[in] vector_sum_col Input row-vector of sums of all the entries in each column of matrix B. * Note: vector_sum_col can be a nullptr in case a_offset = 0. Data type supported: same as @p mm_result * @param[in] vector_sum_row Input row-vector of sums of all the entries in each row of matrix A. @@ -74,7 +74,7 @@ public: /** Initialise the kernel's input and output. * * @param[in] compile_context The compile context to be used. - * @param[in] mm_result Input tensor containing the result of @ref CLGEMMLowpMatrixMultiplyKernel. Data type supported: S32 + * @param[in] mm_result Input tensor containing the result of the matrix multiplication. Data type supported: S32 * @param[in] vector_sum_col Input row-vector of sums of all the entries in each column of matrix B. * Note: vector_sum_col can be a nullptr in case a_offset = 0. Data type supported: same as @p mm_result * @param[in] vector_sum_row Input row-vector of sums of all the entries in each row of matrix A. |