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| author | Sheri Zhang <sheri.zhang@arm.com> | 2020-02-25 14:13:54 +0000 |
|---|---|---|
| committer | Sheri Zhang <sheri.zhang@arm.com> | 2020-03-02 17:09:19 +0000 |
| commit | 28287afbea9549e8e2904084ae895c04cca88e95 (patch) | |
| tree | 0399a39a27b59d04eed2ff5f3b1a9af506ad49e1 /arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedKernel.h | |
| parent | 1856ff7ebb29e04c3549b74d7ced336111cbf05e (diff) | |
| download | ComputeLibrary-28287afbea9549e8e2904084ae895c04cca88e95.tar.gz | |
COMPMID-2792: Add support for QASYMM8_SIGNED in CLGEMMLowpMatrixMultiplyReshapedKernel
Signed-off-by: Sheri Zhang <sheri.zhang@arm.com>
Change-Id: I005e604253394f31173f37ec0296caf76b5e697c
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/227008
Tested-by: bsgcomp <bsgcomp@arm.com>
Reviewed-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/2798
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Diffstat (limited to 'arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedKernel.h')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedKernel.h | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedKernel.h index 36b9403b60..64a98128ce 100644 --- a/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedKernel.h +++ b/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedKernel.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2019 ARM Limited. + * Copyright (c) 2019-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -49,9 +49,9 @@ public: CLGEMMLowpMatrixMultiplyReshapedKernel &operator=(CLGEMMLowpMatrixMultiplyReshapedKernel &&) = default; /** Initialise the kernel's input and output. * - * @param[in] input0 Input tensor containing the LHS reshaped matrix. Data type supported: QASYMM8. The number of dimensions for the LHS matrix must be less or equal than 4. + * @param[in] input0 Input tensor containing the LHS reshaped matrix. Data type supported: QASYMM8/QASYMM8_SIGNED. The number of dimensions for the LHS matrix must be less or equal than 4. * @param[in] input1 Input tensor containing the RHS reshaped matrix. Data type supported: same as @p input0. The number of dimensions for the RHS matrix must be less or equal than 3. - * @param[out] output Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0 + * @param[out] output Output tensor to store the result of matrix multiplication. Data type supported: S32 * @param[in] lhs_info LHS matrix information used for reshaping the input0 tensor. Only the following values are supported: * lhs_info.m0: 2,3,4,5,6,7,8 * lhs_info.k0: 2,3,4,8,16 @@ -67,9 +67,9 @@ public: void configure(const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info, const GEMMReshapeInfo &gemm_info); /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpMatrixMultiplyReshapedKernel * - * @param[in] input0 Input tensor info containing the LHS reshaped matrix. Data type supported: QASYMM8. The number of dimensions for the LHS matrix must be less or equal than 4. + * @param[in] input0 Input tensor info containing the LHS reshaped matrix. Data type supported: QASYMM8/QASYMM8_SIGNED. The number of dimensions for the LHS matrix must be less or equal than 4. * @param[in] input1 Input tensor info containing the RHS reshaped matrix. Data type supported: same as @p input0. The number of dimensions for the RHS matrix must be less or equal than 3. - * @param[in] output Output tensor info. Data type supported: same as @p input0 + * @param[in] output Output tensor info. Data type supported: S32 * @param[in] lhs_info LHS matrix information used for reshaping the input0 tensor. Only the following values are supported: * lhs_info.m0: 2,3,4,5,6,7,8 * lhs_info.k0: 2,3,4,8,16 |