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author | Michele Di Giorgio <michele.digiorgio@arm.com> | 2020-07-06 11:27:21 +0100 |
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committer | Michele Di Giorgio <michele.digiorgio@arm.com> | 2020-07-20 12:39:29 +0000 |
commit | f6f7876e9ee8b58a8a6b335b032d554412fa3983 (patch) | |
tree | 669c86bfc60ec99965151022a4112c53116b06c0 /arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h | |
parent | 954051f449788f22eb605b126f71af923950ca29 (diff) | |
download | ComputeLibrary-f6f7876e9ee8b58a8a6b335b032d554412fa3983.tar.gz |
COMPMID-3532: Align data type support between doxygen and implementation - CL
Also removes some unused code.
Change-Id: I85687c40999c3cdf9e6fccfcd020b0901a9515fe
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3581
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h')
-rw-r--r-- | arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h index bb7461ca44..6066e2a815 100644 --- a/arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h +++ b/arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h @@ -48,7 +48,7 @@ public: /** Initialise the kernel's input and output. * - * @param[in] input Input tensor. Data type supported: S8 + * @param[in] input Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8. * @param[out] output Output row-vector of sums of all the entries in each row/col of input tensor. Data type supported: S32 * @param[in] info Kernel metadata: * - k Number of matrix columns/rows depending on the type of reduction. @@ -60,7 +60,7 @@ public: /** Initialise the kernel's input and output. * * @param[in] compile_context The compile context to be used. - * @param[in] input Input tensor. Data type supported: S8 + * @param[in] input Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8. * @param[out] output Output row-vector of sums of all the entries in each row/col of input tensor. Data type supported: S32 * @param[in] info Kernel metadata: * - k Number of matrix columns/rows depending on the type of reduction. @@ -85,7 +85,7 @@ class CLGEMMLowpMatrixAReductionKernel : public ICLGEMMLowpReductionKernel public: /** Initialise the kernel's input and output. * - * @param[in] mtx_a Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED + * @param[in] mtx_a Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8. * @param[out] vector_sum_row Output row-vector of sums of all the entries in each row of mtx_a. Data type supported: S32 * @param[in] info Kernel metadata: * - k Number of matrix columns/rows depending on the type of reduction. @@ -97,7 +97,7 @@ public: /** Initialise the kernel's input and output. * * @param[in] compile_context The compile context to be used. - * @param[in] mtx_a Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED + * @param[in] mtx_a Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8. * @param[out] vector_sum_row Output row-vector of sums of all the entries in each row of mtx_a. Data type supported: S32 * @param[in] info Kernel metadata: * - k Number of matrix columns/rows depending on the type of reduction. @@ -108,7 +108,7 @@ public: void configure(const CLCompileContext &compile_context, const ICLTensor *mtx_a, ICLTensor *vector_sum_row, const GEMMLowpReductionKernelInfo &info) override; /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpMatrixAReductionKernel * - * @param[in] mtx_a Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED + * @param[in] mtx_a Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8. * @param[in] vector_sum_row Output row-vector of sums of all the entries in each row of mtx_a. Data type supported: S32 * @param[in] info Kernel metadata: * - k Number of matrix columns/rows depending on the type of reduction. @@ -134,7 +134,7 @@ class CLGEMMLowpMatrixBReductionKernel : public ICLGEMMLowpReductionKernel public: /** Initialise the kernel's input and output. * - * @param[in] mtx_b Input tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED + * @param[in] mtx_b Input tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL. * @param[out] vector_sum_col Output row-vector of sums of all the entries in each column of mtx_b. Data type supported: S32 * @param[in] info Kernel metadata: * - k Number of matrix columns/rows depending on the type of reduction. @@ -146,7 +146,7 @@ public: /** Initialise the kernel's input and output. * * @param[in] compile_context The compile context to be used. - * @param[in] mtx_b Input tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED + * @param[in] mtx_b Input tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL. * @param[out] vector_sum_col Output row-vector of sums of all the entries in each column of mtx_b. Data type supported: S32 * @param[in] info Kernel metadata: * - k Number of matrix columns/rows depending on the type of reduction. @@ -157,7 +157,7 @@ public: void configure(const CLCompileContext &compile_context, const ICLTensor *mtx_b, ICLTensor *vector_sum_col, const GEMMLowpReductionKernelInfo &info) override; /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpMatrixBReductionKernel * - * @param[in] mtx_b Input tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED + * @param[in] mtx_b Input tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL. * @param[in] vector_sum_col Output row-vector of sums of all the entries in each column of mtx_b. Data type supported: S32 * @param[in] info Kernel metadata: * - k Number of matrix columns/rows depending on the type of reduction. |