Manuel Bottini | cfac51c | 2021-06-18 15:47:28 +0100 | [diff] [blame] | 1 | /* |
Giorgio Arena | 5ae8d80 | 2021-11-18 18:02:13 +0000 | [diff] [blame] | 2 | * Copyright (c) 2017-2022 Arm Limited. |
Manuel Bottini | cfac51c | 2021-06-18 15:47:28 +0100 | [diff] [blame] | 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #ifndef ARM_COMPUTE_CPU_GEMMLOWP_REDUCTION_KERNEL_H |
| 25 | #define ARM_COMPUTE_CPU_GEMMLOWP_REDUCTION_KERNEL_H |
| 26 | |
| 27 | #include "src/core/common/Macros.h" |
Georgios Pinitas | 7891a73 | 2021-08-20 21:39:25 +0100 | [diff] [blame] | 28 | #include "src/cpu/ICpuKernel.h" |
Manuel Bottini | cfac51c | 2021-06-18 15:47:28 +0100 | [diff] [blame] | 29 | |
| 30 | namespace arm_compute |
| 31 | { |
| 32 | // Forward declarations |
| 33 | struct GEMMLowpReductionKernelInfo; |
| 34 | namespace cpu |
| 35 | { |
| 36 | namespace kernels |
| 37 | { |
| 38 | /** Kernel used to compute the row-vectors of sums of all the entries in each row of Matrix A. |
| 39 | * |
| 40 | * @note This stage is needed to handle the offset of matrix product |
| 41 | * https://github.com/google/gemmlowp/blob/master/doc/low-precision.md |
| 42 | */ |
Yair Schwarzbaum | 46d44d2 | 2022-01-12 16:38:58 +0200 | [diff] [blame] | 43 | class CpuGemmLowpMatrixAReductionKernel : public ICpuKernel<CpuGemmLowpMatrixAReductionKernel> |
Manuel Bottini | cfac51c | 2021-06-18 15:47:28 +0100 | [diff] [blame] | 44 | { |
| 45 | public: |
| 46 | /** Default constructor */ |
| 47 | CpuGemmLowpMatrixAReductionKernel() = default; |
| 48 | ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuGemmLowpMatrixAReductionKernel); |
| 49 | /** Initialise the kernel's input and output. |
| 50 | * |
| 51 | * @param[in] src Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL |
| 52 | * @param[out] dst Output row-vector of sums of all the entries in each row of mtx_a. Data type supported: S32 |
| 53 | * @param[in] info Kernel metadata: |
| 54 | * - k (num_mtx_a_cols) Number of matrix A columns |
| 55 | * - is_reshaped (is_interleaved4x4) True if the matrix A has been interleaved4x4 |
| 56 | * - scalar Scalar value to multiply each reduced row by. |
| 57 | * - mul_byscalar True if each reduced column must be multiplied by a scalar value. |
| 58 | */ |
| 59 | void configure(const ITensorInfo *src, ITensorInfo *dst, const GEMMLowpReductionKernelInfo &info); |
| 60 | /** Static function to check if given info will lead to a valid configuration |
| 61 | * |
| 62 | * Similar to CpuGemmLowpMatrixAReductionKernel::configure() |
| 63 | * |
| 64 | * @return a status |
| 65 | */ |
| 66 | static Status validate(const ITensorInfo *src, const ITensorInfo *dst, const GEMMLowpReductionKernelInfo &info); |
| 67 | |
| 68 | // Inherited methods overridden: |
| 69 | void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override; |
| 70 | const char *name() const override; |
| 71 | |
| 72 | private: |
| 73 | /** Execution of the reduction kernel specialized on the input type |
| 74 | * |
| 75 | * @param[in] src Input tensor |
| 76 | * @param[in] dst Output tensor |
| 77 | * @param[in] window Execution window |
| 78 | */ |
| 79 | template <typename T> |
| 80 | void run_internal(const ITensor *src, ITensor *dst, const Window &window); |
| 81 | |
| 82 | /** Common signature for all reduction functions |
| 83 | * |
| 84 | * @param[in] src Input tensor |
| 85 | * @param[out] dst Output tensor |
| 86 | * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()). |
| 87 | */ |
| 88 | using CpuGemmLowpMatrixAReductionKernelPtr = void (CpuGemmLowpMatrixAReductionKernel::*)(const ITensor *src, ITensor *dst, const Window &window); |
| 89 | |
| 90 | CpuGemmLowpMatrixAReductionKernelPtr _func{ nullptr }; |
| 91 | int32_t _k{ 0 }; |
| 92 | int32_t _scalar{ 0 }; |
| 93 | bool _mul_by_scalar{ false }; |
| 94 | }; |
| 95 | |
| 96 | /** Kernel used to compute the row-vectors of sums of all the entries in each column of Matrix B. |
| 97 | * |
| 98 | * @note This stage is needed to handle the offset of matrix product |
| 99 | * https://github.com/google/gemmlowp/blob/master/doc/low-precision.md |
| 100 | */ |
Yair Schwarzbaum | 46d44d2 | 2022-01-12 16:38:58 +0200 | [diff] [blame] | 101 | class CpuGemmLowpMatrixBReductionKernel : public ICpuKernel<CpuGemmLowpMatrixBReductionKernel> |
Manuel Bottini | cfac51c | 2021-06-18 15:47:28 +0100 | [diff] [blame] | 102 | { |
| 103 | public: |
| 104 | /** Default constructor */ |
| 105 | CpuGemmLowpMatrixBReductionKernel() = default; |
| 106 | ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuGemmLowpMatrixBReductionKernel); |
| 107 | /** Initialise the kernel's input and output. |
| 108 | * |
| 109 | * @param[in] src Input tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL |
| 110 | * @param[out] dst Output row-vector of sums of all the entries in each column of mtx_b. Data type supported: S32 |
| 111 | * @param[in] info Kernel metadata: |
| 112 | * - k (num_mtx_b_rows) Number of matrix B rows. |
| 113 | * - is_reshaped (is_transposed1xW) True if the input tensor is transposed 1xW. |
| 114 | * - scalar Scalar value to multiply each reduced row by. |
| 115 | * - mul_byscalar True if each reduced row must be multiplied by a scalar value. |
| 116 | */ |
| 117 | void configure(const ITensorInfo *src, ITensorInfo *dst, const GEMMLowpReductionKernelInfo &info); |
| 118 | /** Static function to check if given info will lead to a valid configuration |
| 119 | * |
| 120 | * Similar to CpuGemmLowpMatrixBReductionKernel::configure() |
| 121 | * |
| 122 | * @return a status |
| 123 | */ |
| 124 | static Status validate(const ITensorInfo *src, const ITensorInfo *dst, const GEMMLowpReductionKernelInfo &info); |
| 125 | |
| 126 | // Inherited methods overridden: |
| 127 | void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override; |
| 128 | const char *name() const override; |
| 129 | |
| 130 | private: |
| 131 | /** Execution of the reduction kernel specialized on the input type |
| 132 | * |
| 133 | * @param[in] src Input tensor |
| 134 | * @param[in] dst Output tensor |
| 135 | * @param[in] window Execution window |
| 136 | * @param[in] info Thread-related information |
| 137 | */ |
| 138 | template <typename T> |
| 139 | void run_internal(const ITensor *src, ITensor *dst, const Window &window, const ThreadInfo &info); |
| 140 | |
| 141 | /** Common signature for all reduction functions |
| 142 | * |
| 143 | * @param[in] src Input tensor |
| 144 | * @param[out] dst Output tensor |
| 145 | * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()). |
| 146 | */ |
| 147 | using CpuGemmLowpMatrixBReductionKernelPtr = void (CpuGemmLowpMatrixBReductionKernel::*)(const ITensor *src, ITensor *dst, const Window &window, const ThreadInfo &info); |
| 148 | |
| 149 | CpuGemmLowpMatrixBReductionKernelPtr _func{ nullptr }; |
| 150 | int32_t _k{ 0 }; |
| 151 | int32_t _scalar{ 0 }; |
| 152 | bool _mul_by_scalar{ false }; |
| 153 | }; |
| 154 | } // namespace kernels |
| 155 | } // namespace cpu |
| 156 | } // namespace arm_compute |
| 157 | #endif /* ARM_COMPUTE_CPU_GEMMLOWP_REDUCTION_KERNEL_H */ |