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| author | Michele Di Giorgio <michele.digiorgio@arm.com> | 2020-07-03 13:34:52 +0100 |
|---|---|---|
| committer | Michele Di Giorgio <michele.digiorgio@arm.com> | 2020-07-07 15:25:46 +0000 |
| commit | f9b595adbdc3f6f51ffa2c1f2aa70d0262d0db2d (patch) | |
| tree | 382f3ab76355de2ed5114a5e4bfc7e8f7c0422f4 /arm_compute/core/NEON/kernels/NEGEMMLowpReductionKernel.h | |
| parent | 0cc50ed757f06f4f076e261cb7253dd67264dec6 (diff) | |
| download | ComputeLibrary-f9b595adbdc3f6f51ffa2c1f2aa70d0262d0db2d.tar.gz | |
COMPMID-3532: Align data type support between doxygen and implementation - NEON
Change-Id: I70662cfb43890873b706b3f22b348f5d8cdd63ca
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3506
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-by: Sheri Zhang <sheri.zhang@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/core/NEON/kernels/NEGEMMLowpReductionKernel.h')
| -rw-r--r-- | arm_compute/core/NEON/kernels/NEGEMMLowpReductionKernel.h | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/arm_compute/core/NEON/kernels/NEGEMMLowpReductionKernel.h b/arm_compute/core/NEON/kernels/NEGEMMLowpReductionKernel.h index 1e472f5252..dcee3da2d5 100644 --- a/arm_compute/core/NEON/kernels/NEGEMMLowpReductionKernel.h +++ b/arm_compute/core/NEON/kernels/NEGEMMLowpReductionKernel.h @@ -49,7 +49,7 @@ public: /** Initialise the kernel's input and output. * - * @param[in] input Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED + * @param[in] input Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL * @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. @@ -82,7 +82,7 @@ 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/QSYMM8_PER_CHANNEL * @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 (num_mtx_a_cols) Number of matrix A columns @@ -93,7 +93,7 @@ public: void configure(const ITensor *mtx_a, ITensor *vector_sum_row, const GEMMLowpReductionKernelInfo &info) override; /** Static function to check if given info will lead to a valid configuration of @ref NEGEMMLowpMatrixAReductionKernel * - * @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/QSYMM8_PER_CHANNEL * @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 (num_mtx_a_cols) Number of matrix A columns @@ -131,7 +131,7 @@ 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 (num_mtx_b_rows) Number of matrix B rows. @@ -142,7 +142,7 @@ public: void configure(const ITensor *mtx_b, ITensor *vector_sum_col, const GEMMLowpReductionKernelInfo &info) override; /** Static function to check if given info will lead to a valid configuration of @ref NEGEMMLowpMatrixBReductionKernel * - * @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 (num_mtx_b_rows) Number of matrix B rows. |