| /* |
| * Copyright (c) 2017-2021 Arm Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| #ifndef ARM_COMPUTE_CPU_GEMMLOWP_REDUCTION_KERNEL_H |
| #define ARM_COMPUTE_CPU_GEMMLOWP_REDUCTION_KERNEL_H |
| |
| #include "src/core/common/Macros.h" |
| #include "src/core/cpu/ICpuKernel.h" |
| |
| namespace arm_compute |
| { |
| // Forward declarations |
| struct GEMMLowpReductionKernelInfo; |
| namespace cpu |
| { |
| namespace kernels |
| { |
| /** Kernel used to compute the row-vectors of sums of all the entries in each row of Matrix A. |
| * |
| * @note This stage is needed to handle the offset of matrix product |
| * https://github.com/google/gemmlowp/blob/master/doc/low-precision.md |
| */ |
| class CpuGemmLowpMatrixAReductionKernel : public ICpuKernel |
| { |
| public: |
| /** Default constructor */ |
| CpuGemmLowpMatrixAReductionKernel() = default; |
| ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuGemmLowpMatrixAReductionKernel); |
| /** Initialise the kernel's input and output. |
| * |
| * @param[in] src Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL |
| * @param[out] dst 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 |
| * - is_reshaped (is_interleaved4x4) True if the matrix A has been interleaved4x4 |
| * - scalar Scalar value to multiply each reduced row by. |
| * - mul_byscalar True if each reduced column must be multiplied by a scalar value. |
| */ |
| void configure(const ITensorInfo *src, ITensorInfo *dst, const GEMMLowpReductionKernelInfo &info); |
| /** Static function to check if given info will lead to a valid configuration |
| * |
| * Similar to CpuGemmLowpMatrixAReductionKernel::configure() |
| * |
| * @return a status |
| */ |
| static Status validate(const ITensorInfo *src, const ITensorInfo *dst, const GEMMLowpReductionKernelInfo &info); |
| |
| // Inherited methods overridden: |
| void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override; |
| const char *name() const override; |
| |
| private: |
| /** Execution of the reduction kernel specialized on the input type |
| * |
| * @param[in] src Input tensor |
| * @param[in] dst Output tensor |
| * @param[in] window Execution window |
| */ |
| template <typename T> |
| void run_internal(const ITensor *src, ITensor *dst, const Window &window); |
| |
| /** Common signature for all reduction functions |
| * |
| * @param[in] src Input tensor |
| * @param[out] dst Output tensor |
| * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()). |
| */ |
| using CpuGemmLowpMatrixAReductionKernelPtr = void (CpuGemmLowpMatrixAReductionKernel::*)(const ITensor *src, ITensor *dst, const Window &window); |
| |
| CpuGemmLowpMatrixAReductionKernelPtr _func{ nullptr }; |
| int32_t _k{ 0 }; |
| int32_t _scalar{ 0 }; |
| bool _mul_by_scalar{ false }; |
| }; |
| |
| /** Kernel used to compute the row-vectors of sums of all the entries in each column of Matrix B. |
| * |
| * @note This stage is needed to handle the offset of matrix product |
| * https://github.com/google/gemmlowp/blob/master/doc/low-precision.md |
| */ |
| class CpuGemmLowpMatrixBReductionKernel : public ICpuKernel |
| { |
| public: |
| /** Default constructor */ |
| CpuGemmLowpMatrixBReductionKernel() = default; |
| ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuGemmLowpMatrixBReductionKernel); |
| /** Initialise the kernel's input and output. |
| * |
| * @param[in] src Input tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL |
| * @param[out] dst 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. |
| * - is_reshaped (is_transposed1xW) True if the input tensor is transposed 1xW. |
| * - scalar Scalar value to multiply each reduced row by. |
| * - mul_byscalar True if each reduced row must be multiplied by a scalar value. |
| */ |
| void configure(const ITensorInfo *src, ITensorInfo *dst, const GEMMLowpReductionKernelInfo &info); |
| /** Static function to check if given info will lead to a valid configuration |
| * |
| * Similar to CpuGemmLowpMatrixBReductionKernel::configure() |
| * |
| * @return a status |
| */ |
| static Status validate(const ITensorInfo *src, const ITensorInfo *dst, const GEMMLowpReductionKernelInfo &info); |
| |
| // Inherited methods overridden: |
| void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override; |
| const char *name() const override; |
| |
| private: |
| /** Execution of the reduction kernel specialized on the input type |
| * |
| * @param[in] src Input tensor |
| * @param[in] dst Output tensor |
| * @param[in] window Execution window |
| * @param[in] info Thread-related information |
| */ |
| template <typename T> |
| void run_internal(const ITensor *src, ITensor *dst, const Window &window, const ThreadInfo &info); |
| |
| /** Common signature for all reduction functions |
| * |
| * @param[in] src Input tensor |
| * @param[out] dst Output tensor |
| * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()). |
| */ |
| using CpuGemmLowpMatrixBReductionKernelPtr = void (CpuGemmLowpMatrixBReductionKernel::*)(const ITensor *src, ITensor *dst, const Window &window, const ThreadInfo &info); |
| |
| CpuGemmLowpMatrixBReductionKernelPtr _func{ nullptr }; |
| int32_t _k{ 0 }; |
| int32_t _scalar{ 0 }; |
| bool _mul_by_scalar{ false }; |
| }; |
| } // namespace kernels |
| } // namespace cpu |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_CPU_GEMMLOWP_REDUCTION_KERNEL_H */ |