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| author | Manuel Bottini <manuel.bottini@arm.com> | 2019-12-02 16:22:35 +0000 |
|---|---|---|
| committer | Manuel Bottini <manuel.bottini@arm.com> | 2020-01-14 13:15:11 +0000 |
| commit | 959c26d0457deeebf7306b9e4317863f144415b5 (patch) | |
| tree | 9a439d27b9985f21b3b1b27db519efe9e928954a /arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionOutputStageKernel.h | |
| parent | 6427c8233661f81053d1ad486b5914c612cef3d6 (diff) | |
| download | ComputeLibrary-959c26d0457deeebf7306b9e4317863f144415b5.tar.gz | |
COMPMID-2790: Add support for QASYMM8_SIGNED in CLGEMMLowpMatrixMultiplyCore
Change-Id: Ifdaeb53c512ba697f174649c026075010f54f628
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/2472
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giuseppe Rossini <giuseppe.rossini@arm.com>
Diffstat (limited to 'arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionOutputStageKernel.h')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionOutputStageKernel.h | 9 |
1 files changed, 5 insertions, 4 deletions
diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionOutputStageKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionOutputStageKernel.h index 44a91fef18..4094bc681e 100644 --- a/arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionOutputStageKernel.h +++ b/arm_compute/core/CL/kernels/CLGEMMLowpOffsetContributionOutputStageKernel.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018-2019 ARM Limited. + * Copyright (c) 2018-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -35,6 +35,7 @@ class ICLTensor; * This kernel takes a final int32 accumulator value (the output of @ref CLGEMMLowpMatrixMultiplyKernel), 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. */ class CLGEMMLowpOffsetContributionOutputStageKernel : public ICLKernel { @@ -58,7 +59,7 @@ public: * Note: vector_sum_row can be a nullptr in case b_offset = 0. Data type supported: same as @p mm_result * @param[in] bias Biases tensor. Only shared biases supported and it can be a nullptr if the addition of biases is not required. * Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p input. - * @param[out] output Output tensor. Data type supported: QASYMM8. + * @param[out] output Output tensor. Data type supported: QASYMM8/QASYMM8_SIGNED. * @param[in] k Number of matrix A columns or Matrix B rows * @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. @@ -72,14 +73,14 @@ public: const GEMMLowpOutputStageInfo &output_stage, const ICLTensor *output_multipliers, const ICLTensor *output_shifts); /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpOffsetContributionKernel * - * @param[in] mm_result Input tensor containing the result of @ref CLGEMMLowpOffsetContributionKernel. Data type supported: S32 or QASYMM8 if output_stage != NONE + * @param[in] mm_result Input tensor containing the result of @ref CLGEMMLowpOffsetContributionKernel. 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. * Note: vector_sum_row can be a nullptr in case b_offset = 0. Data type supported: same as @p mm_result * @param[in] bias Biases tensor. Only shared biases supported and it can be a nullptr if the addition of biases is not required. * Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p input. - * @param[in] output Output tensor. Data type supported: QASYMM8. + * @param[in] output Output tensor. Data type supported: QASYMM8/QASYMM8_SIGNED. * @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. * @param[in] output_stage GEMMLowp output stage info |