| /* |
| * Copyright (c) 2017 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_NEGEMMLOWPOFFSETCONTRIBUTIONKERNEL_H__ |
| #define __ARM_COMPUTE_NEGEMMLOWPOFFSETCONTRIBUTIONKERNEL_H__ |
| |
| #include "arm_compute/core/NEON/INEKernel.h" |
| |
| namespace arm_compute |
| { |
| class ITensor; |
| |
| /* NEON kernel used to add the offset contribution after @ref NEGEMMLowpMatrixMultiplyKernel. The computation is performed in-place |
| * |
| * This kernel takes a final int32 accumulator value (the output of @NEGEMMLowpMatrixMultiplyKernel), |
| * and adds to it the offset contribution of matrix A and matrix B in-place. |
| * |
| * The final result is: |
| * |
| * mm_result[i][k] = mm_result[i][k] + |
| * (vector_sum_col[k] * a_offset) + |
| * (vector_sum_row[i] * b_offset) + |
| * (a_offset * b_offset * k) |
| * |
| */ |
| class NEGEMMLowpOffsetContributionKernel : public INEKernel |
| { |
| public: |
| /** Constructor */ |
| NEGEMMLowpOffsetContributionKernel(); |
| /** Prevent instances of this class from being copied (As this class contains pointers)*/ |
| NEGEMMLowpOffsetContributionKernel(const NEGEMMLowpOffsetContributionKernel &) = delete; |
| /** Prevent instances of this class from being copied (As this class contains pointers)*/ |
| NEGEMMLowpOffsetContributionKernel &operator=(const NEGEMMLowpOffsetContributionKernel &) = delete; |
| /** Allow instances of this class to be moved */ |
| NEGEMMLowpOffsetContributionKernel(NEGEMMLowpOffsetContributionKernel &&) = default; |
| /** Allow instances of this class to be moved */ |
| NEGEMMLowpOffsetContributionKernel &operator=(NEGEMMLowpOffsetContributionKernel &&) = default; |
| /** Initialise the kernel's input and output. |
| * |
| * @param[in, out] mm_result Input tensor containing the result of @ref NEGEMMLowpMatrixMultiplyKernel. 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] 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. |
| */ |
| void configure(ITensor *mm_result, const ITensor *vector_sum_col, const ITensor *vector_sum_row, int32_t k, int32_t a_offset, int32_t b_offset); |
| /** Static function to check if given info will lead to a valid configuration of @ref NEGEMMLowpOffsetContributionKernel |
| * |
| * @param[in] mm_result Input tensor containing the result of @ref NEGEMMLowpMatrixMultiplyKernel. 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] 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. |
| */ |
| static Error validate(const ITensorInfo *mm_result, const ITensorInfo *vector_sum_col, const ITensorInfo *vector_sum_row, int32_t a_offset, int32_t b_offset); |
| |
| // Inherited methods overridden: |
| void run(const Window &window, const ThreadInfo &info) override; |
| |
| private: |
| const ITensor *_vector_sum_col; |
| const ITensor *_vector_sum_row; |
| ITensor *_mm_result; |
| int32_t _a_offset; |
| int32_t _b_offset; |
| int32_t _k_offset; |
| bool _slide_vector_sum_col; |
| }; |
| } // namespace arm_compute |
| |
| #endif /* __ARM_COMPUTE_NEGEMMLOWPOFFSETCONTRIBUTIONKERNEL_H__ */ |