From f202e50a8b89f143f74c393e33e0154817bd3c1d Mon Sep 17 00:00:00 2001 From: Anthony Barbier Date: Thu, 23 Nov 2017 18:02:04 +0000 Subject: COMPMID-556 Improved indentation and error handling in format_doxygen.py Change-Id: I6f51ffe6c324d9da500716b52c97c344f2a2a164 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/110486 Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com Reviewed-by: Georgios Pinitas --- .../NEON/functions/NEGEMMLowpMatrixMultiplyCore.h | 24 +++++++++++----------- 1 file changed, 12 insertions(+), 12 deletions(-) (limited to 'arm_compute/runtime/NEON/functions/NEGEMMLowpMatrixMultiplyCore.h') diff --git a/arm_compute/runtime/NEON/functions/NEGEMMLowpMatrixMultiplyCore.h b/arm_compute/runtime/NEON/functions/NEGEMMLowpMatrixMultiplyCore.h index 598756e435..889bbca7f2 100644 --- a/arm_compute/runtime/NEON/functions/NEGEMMLowpMatrixMultiplyCore.h +++ b/arm_compute/runtime/NEON/functions/NEGEMMLowpMatrixMultiplyCore.h @@ -58,18 +58,18 @@ public: /** Constructor */ NEGEMMLowpMatrixMultiplyCore(std::shared_ptr memory_manager = nullptr); /** Initialise the kernel's inputs, output - * - * @note GEMM_LOWP: low precision GEMM kernel - * This kernel performs the following computations: - * - * -# Convert a values from QASYMM8 to int32 and add a_offset to each of them. - * -# Convert b values from QASYMM8 to int32 add b_offset to each of them. - * -# Compute the matrix product of the resulting a * b in int32. - * - * @param[in] a First input tensor (Matrix A). Data type supported: QASYMM8. - * @param[in] b Second input tensor (Matrix B). Data type supported: same as @p a - * @param[out] output Output tensor. Data type supported: Data type supported: S32 - */ + * + * @note GEMM_LOWP: low precision GEMM kernel + * This kernel performs the following computations: + * + * -# Convert a values from QASYMM8 to int32 and add a_offset to each of them. + * -# Convert b values from QASYMM8 to int32 add b_offset to each of them. + * -# Compute the matrix product of the resulting a * b in int32. + * + * @param[in] a First input tensor (Matrix A). Data type supported: QASYMM8. + * @param[in] b Second input tensor (Matrix B). Data type supported: same as @p a + * @param[out] output Output tensor. Data type supported: Data type supported: S32 + */ void configure(const ITensor *a, const ITensor *b, ITensor *output); /** Static function to check if given info will lead to a valid configuration of @ref NEGEMMLowpMatrixMultiplyCore * -- cgit v1.2.1