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author | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2019-06-24 17:47:51 +0100 |
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committer | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2019-07-18 13:17:27 +0000 |
commit | 06be6f8d2a316a307fa623150f8adf8f9c3416c5 (patch) | |
tree | 0db15a25f2c306fab3d843236f878ec9479b7f57 /arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyKernel.h | |
parent | ff2719299ea76a95f20a35a7900875a8152e293a (diff) | |
download | ComputeLibrary-06be6f8d2a316a307fa623150f8adf8f9c3416c5.tar.gz |
COMPMID-2096: Refactor the CLGEMMLowp function selection (heuristic)
Change-Id: I15a8b39e0354d3b6686ed4cc8c361782c0512037
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1410
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: VidhyaSudhan Loganathan <vidhyasudhan.loganathan@arm.com>
Diffstat (limited to 'arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyKernel.h')
-rw-r--r-- | arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyKernel.h | 31 |
1 files changed, 16 insertions, 15 deletions
diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyKernel.h index e576271780..409ed1bec2 100644 --- a/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyKernel.h +++ b/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyKernel.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2018 ARM Limited. + * Copyright (c) 2017-2019 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -32,8 +32,9 @@ class ICLTensor; /** OpenCL kernel to multiply matrices * - * @note @ref CLGEMMLowpMatrixMultiplyKernel low precision matrix product kernel - * This kernel performs the following computation: + * @note This kernel should be used ONLY for Midgard architectures + * + * This kernel performs the following computation: * * -# Convert a values from int8 to int32 * -# Convert b values from int8 to int32 @@ -55,24 +56,24 @@ public: CLGEMMLowpMatrixMultiplyKernel &operator=(CLGEMMLowpMatrixMultiplyKernel &&) = default; /** Initialise the kernel's input and output. * - * @param[in] input0 Input tensor containing the interleaved Matrix A. Data type supported: QASYMM8 - * @param[in] input1 Input tensor containing the transposed1xW Matrix B. 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] is_interleaved_transposed (Optional) True if input0 and input1 have been reshaped respectively using @ref CLGEMMReshapeLHSMatrixKernel and @ref CLGEMMReshapeRHSMatrixKernel - * @param[in] reshape_info (Optional) GEMM reshape info. If is_interleaved_transposed = true, this object must contain the information to understand how the matrix A and matrix B have been reshaped + * @note This kernel should be used ONLY for Midgard architectures + * + * @param[in] input0 Input tensor containing the LHS matrix. Data type supported: QASYMM8 + * @param[in] input1 Input tensor containing the RHS matrix. 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] gemm_info (Optional) GEMM information used to retrieve the original dimensions of the input matrices */ - void configure(const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, bool is_interleaved_transposed = true, const GEMMReshapeInfo &reshape_info = GEMMReshapeInfo()); + void configure(const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, const GEMMReshapeInfo &gemm_info = GEMMReshapeInfo()); /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpMatrixMultiplyKernel * - * @param[in] input0 Input tensor info containing the interleaved Matrix A. Data type supported: QASYMM8 - * @param[in] input1 Input tensor info containing the transposed Matrix B. Data type supported: same as @p input0 - * @param[in] output Output tensor info to store the result of matrix multiplication. Data type supported: S32 - * @param[in] is_interleaved_transposed True if input0 and input1 have been reshaped respectively using @ref CLGEMMReshapeLHSMatrixKernel and @ref CLGEMMReshapeRHSMatrixKernel - * @param[in] reshape_info GEMM reshape info. If is_interleaved_transposed = true, this object must contain the information to understand how the matrix A and matrix B have been reshaped + * @param[in] input0 Input tensor containing the LHS matrix. Data type supported: QASYMM8 + * @param[in] input1 Input tensor containing the RHS matrix. Data type supported: same as @p input0 + * @param[in] output Output tensor to store the result of matrix multiplication. Data type supported: S32 + * @param[in] gemm_info (Optional) GEMM information used to retrieve the original dimensions of the input matrices * * @return a status */ - static Status validate(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output, bool is_interleaved_transposed, const GEMMReshapeInfo &reshape_info); + static Status validate(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output, const GEMMReshapeInfo &gemm_info = GEMMReshapeInfo()); // Inherited methods overridden: void run(const Window &window, cl::CommandQueue &queue) override; |